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Citing this Article

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Published on 04.11.15 in Vol 3, No 4 (2015): Oct-Dec

This paper is in the following e-collection/theme issue:

Works citing "Health App Use Among US Mobile Phone Owners: A National Survey"

Paul Krebs, Dustin T Duncan

JMIR Mhealth Uhealth 2015 (Nov 04); 3(4):e101 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4924):

(note that this is only a small subset of citations)

  1. Patel PC, Struckell EM, Ojha D. Calorie labeling law and fast food chain performance: The value of capital responsiveness under sales volatility. Journal of Business Research 2020;117:346
    CrossRef
  2. Xie Z, Nacioglu A, Or C. Prevalence, Demographic Correlates, and Perceived Impacts of Mobile Health App Use Amongst Chinese Adults: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2018;6(4):e103
    CrossRef
  3. Rubanovich CK, Mohr DC, Schueller SM. Health App Use Among Individuals With Symptoms of Depression and Anxiety: A Survey Study With Thematic Coding. JMIR Mental Health 2017;4(2):e22
    CrossRef
  4. van Velthoven MH, Wyatt JC, Meinert E, Brindley D, Wells G. How standards and user involvement can improve app quality: A lifecycle approach. International Journal of Medical Informatics 2018;118:54
    CrossRef
  5. Bijlsma N, Cohen M. Environmental Chemical Assessment in Clinical Practice: Unveiling the Elephant in the Room. International Journal of Environmental Research and Public Health 2016;13(2):181
    CrossRef
  6. Ernsting C, Dombrowski SU, Oedekoven M, O´Sullivan JL, Kanzler M, Kuhlmey A, Gellert P. Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey. Journal of Medical Internet Research 2017;19(4):e101
    CrossRef
  7. Wisniewski H, Liu G, Henson P, Vaidyam A, Hajratalli NK, Onnela J, Torous J. Understanding the quality, effectiveness and attributes of top-rated smartphone health apps. Evidence Based Mental Health 2019;22(1):4
    CrossRef
  8. Lor M, Backonja U. Visualizations Integrated Into Consumer Health Technologies Support Self-management of Chronic Diseases. CIN: Computers, Informatics, Nursing 2020;38(3):120
    CrossRef
  9. Wei J, Vinnikova A, Lu L, Xu J. Understanding and Predicting the Adoption of Fitness Mobile Apps: Evidence from China. Health Communication 2021;36(8):950
    CrossRef
  10. Sullivan AN, Lachman ME. Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity. Frontiers in Public Health 2017;4
    CrossRef
  11. Li K, Urteaga I, Wiggins CH, Druet A, Shea A, Vitzthum VJ, Elhadad N. Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data. npj Digital Medicine 2020;3(1)
    CrossRef
  12. Hoj TH, Covey EL, Jones AC, Haines AC, Hall PC, Crookston BT, West JH. How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms. JMIR mHealth and uHealth 2017;5(8):e114
    CrossRef
  13. Dawson RM, Heiney SP, Messias DH, Ownby D. A Patient-Centered Asthma Management Communication Intervention for Rural Latino Children: Protocol for a Waiting-List Randomized Controlled Trial. JMIR Research Protocols 2020;9(12):e18977
    CrossRef
  14. Griauzde D, Kullgren JT, Liestenfeltz B, Ansari T, Johnson EH, Fedewa A, Saslow LR, Richardson C, Heisler M. A Mobile Phone-Based Program to Promote Healthy Behaviors Among Adults With Prediabetes Who Declined Participation in Free Diabetes Prevention Programs: Mixed-Methods Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(1):e11267
    CrossRef
  15. Espel-Huynh HM, Wing RR, Goldstein CM, Thomas JG. Rationale and design for a pragmatic effectiveness-implementation trial of online behavioral obesity treatment in primary care. Contemporary Clinical Trials 2019;82:9
    CrossRef
  16. Bishop FM, Rodriquez Orjuela JL. Toward the prevention of alcohol use disorders: Overdrinking (unintentional binge drinking) in a community sample. Health Psychology Open 2018;5(2):205510291879270
    CrossRef
  17. Hajesmaeel Gohari S, Bahaadinbeigy K, Tajoddini S, R Niakan Kalhori S. Drug poisoning management using smartphones: an apps review study based on use case classification model. BMJ Innovations 2020;6(4):246
    CrossRef
  18. Stockman M, Modzelewski K, Steenkamp D. Mobile Health and Technology Usage by Patients in the Diabetes, Nutrition, and Weight Management Clinic at an Urban Academic Medical Center. Diabetes Technology & Therapeutics 2019;21(7):400
    CrossRef
  19. Huffman JC, Adams CN, Celano CM. Collaborative Care and Related Interventions in Patients With Heart Disease: An Update and New Directions. Psychosomatics 2018;59(1):1
    CrossRef
  20. Fontenot HB, Rosenberger JG, McNair KT, Mayer KH, Zimet G. Perspectives and preferences for a mobile health tool designed to facilitate HPV vaccination among young men who have sex with men. Human Vaccines & Immunotherapeutics 2019;15(7-8):1815
    CrossRef
  21. Kayyali R, Peletidi A, Ismail M, Hashim Z, Bandeira P, Bonnah J. Awareness and Use of mHealth Apps: A Study from England. Pharmacy 2017;5(2):33
    CrossRef
  22. Lobelo F, Kelli HM, Tejedor SC, Pratt M, McConnell MV, Martin SS, Welk GJ. The Wild Wild West: A Framework to Integrate mHealth Software Applications and Wearables to Support Physical Activity Assessment, Counseling and Interventions for Cardiovascular Disease Risk Reduction. Progress in Cardiovascular Diseases 2016;58(6):584
    CrossRef
  23. Chen D, Zhu L, Lin X, Hong Z, Li S, Liu L, Zhou D. Epilepsy control during an epidemic: emerging approaches and a new management framework. Acta Epileptologica 2020;2(1)
    CrossRef
  24. Kalke K, Ginossar T, Bentley JM, Carver H, Shah SFA, Kinney AY. Use of Evidence-Based Best Practices and Behavior Change Techniques in Breast Cancer Apps: Systematic Analysis. JMIR mHealth and uHealth 2020;8(1):e14082
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  25. DiFilippo KN, Huang WD, Chapman-Novakofski KM. Mobile Apps for the Dietary Approaches to Stop Hypertension (DASH): App Quality Evaluation. Journal of Nutrition Education and Behavior 2018;50(6):620
    CrossRef
  26. Wykes T, Schueller S. Why Reviewing Apps Is Not Enough: Transparency for Trust (T4T) Principles of Responsible Health App Marketplaces. Journal of Medical Internet Research 2019;21(5):e12390
    CrossRef
  27. Gustafson DH, Gustafson DH, Cody OJ, Chih M, Johnston DC, Asthana S. Pilot Test of a Computer-Based System to Help Family Caregivers of Dementia Patients. Journal of Alzheimer's Disease 2019;70(2):541
    CrossRef
  28. Direito A, Walsh D, Hinbarji M, Albatal R, Tooley M, Whittaker R, Maddison R. Using the Intervention Mapping and Behavioral Intervention Technology Frameworks: Development of an mHealth Intervention for Physical Activity and Sedentary Behavior Change. Health Education & Behavior 2018;45(3):331
    CrossRef
  29. Lepley BE, Brousseau DC, May MF, Morrison AK. Randomized Controlled Trial of Acute Illness Educational Intervention in the Pediatric Emergency Department. Pediatric Emergency Care 2020;36(4):e192
    CrossRef
  30. Arigo D, Jake-Schoffman DE, Wolin K, Beckjord E, Hekler EB, Pagoto SL. The history and future of digital health in the field of behavioral medicine. Journal of Behavioral Medicine 2019;42(1):67
    CrossRef
  31. Carreiro S, Newcomb M, Leach R, Ostrowski S, Boudreaux ED, Amante D. Current reporting of usability and impact of mHealth interventions for substance use disorder: A systematic review. Drug and Alcohol Dependence 2020;215:108201
    CrossRef
  32. Biebl JT, Huber S, Rykala M, Kraft E, Lorenz A. Attitudes and Expectations of Health Care Professionals Toward App-Based Therapy in Patients with Osteoarthritis of the Hip or Knee: Questionnaire Study. JMIR mHealth and uHealth 2020;8(10):e21704
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  33. Link E, Baumann E. Nutzung von Gesundheitsinformationen im Internet: personenbezogene und motivationale Einflussfaktoren. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(6):681
    CrossRef
  34. Molina-Recio G, Molina-Luque R, Jiménez-García AM, Ventura-Puertos PE, Hernández-Reyes A, Romero-Saldaña M. Proposal for the User-Centered Design Approach for Health Apps Based on Successful Experiences: Integrative Review. JMIR mHealth and uHealth 2020;8(4):e14376
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  35. Abelson JS, Kaufman E, Symer M, Peters A, Charlson M, Yeo H. Barriers and benefits to using mobile health technology after operation: A qualitative study. Surgery 2017;162(3):605
    CrossRef
  36. König LM, Sproesser G, Schupp HT, Renner B. Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach. JMIR mHealth and uHealth 2018;6(3):e55
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  37. . The ethics of mHealth: Moving forward. Journal of Dentistry 2018;74:S15
    CrossRef
  38. Serlachius A, Schache K, Kieser A, Arroll B, Petrie K, Dalbeth N. Association Between User Engagement of a Mobile Health App for Gout and Improvements in Self-Care Behaviors: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(8):e15021
    CrossRef
  39. Higgins K, Nesbitt C, Horan L, Curtis A, Richard K, Stallter C, Verela S. Brief Educational Sessions to Promote Health App Use. The Journal for Nurse Practitioners 2019;15(8):e165
    CrossRef
  40. Lattie EG, Schueller SM, Sargent E, Stiles-Shields C, Tomasino KN, Corden ME, Begale M, Karr CJ, Mohr DC. Uptake and usage of IntelliCare: A publicly available suite of mental health and well-being apps. Internet Interventions 2016;4:152
    CrossRef
  41. Huckvale K, Wang CJ, Majeed A, Car J. Digital health at fifteen: more human (more needed). BMC Medicine 2019;17(1)
    CrossRef
  42. Dittrich F, Beck S, Harren AK, Reinecke F, Serong S, Jung J, Back DA, Wolf M, Landgraeber S. Analysis of Secure Apps for Daily Clinical Use by German Orthopedic Surgeons: Searching for the "Needle in a Haystack". JMIR mHealth and uHealth 2020;8(5):e17085
    CrossRef
  43. Siddiqui NR, Hodges S, Sharif MO. Availability of orthodontic smartphone apps. Journal of Orthodontics 2019;46(3):235
    CrossRef
  44. Gupta A, Ocker G, Chow PI. Recruiting breast cancer patients for mHealth research: Obstacles to clinic-based recruitment for a mobile phone app intervention study. Clinical Trials 2020;17(6):675
    CrossRef
  45. Kan W, Chou W, Chien T, Yeh Y, Chou P. The Most-Cited Authors Who Published Papers in JMIR mHealth and uHealth Using the Authorship-Weighted Scheme: Bibliometric Analysis. JMIR mHealth and uHealth 2020;8(5):e11567
    CrossRef
  46. Lucier-Greer M, Birney AJ, Gutierrez TM, Adler-Baeder F. Enhancing relationship skills and couple functioning with mobile technology: An evaluation of the Love Every Day mobile intervention. Journal of Family Social Work 2018;21(2):152
    CrossRef
  47. Zhou L, Bao J, Setiawan IMA, Saptono A, Parmanto B. The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study. JMIR mHealth and uHealth 2019;7(4):e11500
    CrossRef
  48. Guan L, Peng T, Zhu JJ. Who is Tracking Health on Mobile Devices: Behavioral Logfile Analysis in Hong Kong. JMIR mHealth and uHealth 2019;7(5):e13679
    CrossRef
  49. Lieffers J, Valaitis R, George T, Wilson M, Macdonald J, Hanning R. A Qualitative Evaluation of the eaTracker® Mobile App. Nutrients 2018;10(10):1462
    CrossRef
  50. Bhuyan SS, Lu N, Chandak A, Kim H, Wyant D, Bhatt J, Kedia S, Chang CF. Use of Mobile Health Applications for Health-Seeking Behavior Among US Adults. Journal of Medical Systems 2016;40(6)
    CrossRef
  51. Betthauser LM, Stearns-Yoder KA, McGarity S, Smith V, Place S, Brenner LA. Mobile App for Mental Health Monitoring and Clinical Outreach in Veterans: Mixed Methods Feasibility and Acceptability Study. Journal of Medical Internet Research 2020;22(8):e15506
    CrossRef
  52. Heidel A, Hagist C. Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review. JMIR mHealth and uHealth 2020;8(9):e16444
    CrossRef
  53. Shcherbina A, Mattsson C, Waggott D, Salisbury H, Christle J, Hastie T, Wheeler M, Ashley E. Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort. Journal of Personalized Medicine 2017;7(2):3
    CrossRef
  54. Chan AH, De Simoni A, Wileman V, Holliday L, Chisari C, Newby CJ, Taylor SJ, Fleming LJ, Griffiths CJ, Horne R. Digital interventions to improve adherence to maintenance medication in asthma. Cochrane Database of Systematic Reviews 2018;
    CrossRef
  55. Huang C, Chen S, Tang C, Huang H. A trade-off dual-factor model to investigate discontinuous intention of health app users: From the perspective of information disclosure. Journal of Biomedical Informatics 2019;100:103302
    CrossRef
  56. Jayaraman PP, Forkan ARM, Morshed A, Haghighi PD, Kang Y. Healthcare 4.0: A review of frontiers in digital health. WIREs Data Mining and Knowledge Discovery 2020;10(2)
    CrossRef
  57. Vella MA, Li H, Reilly PM, Raza SS. Unlocked yet untapped: The ubiquitous smartphone and utilization of emergency medical identification technology in the care of the injured patient. Surgery Open Science 2020;2(3):122
    CrossRef
  58. Tiffany B, Blasi P, Catz SL, McClure JB. Mobile Apps for Oral Health Promotion: Content Review and Heuristic Usability Analysis. JMIR mHealth and uHealth 2018;6(9):e11432
    CrossRef
  59. Lindgren T, Hooper J, Fukuoka Y. Perceptions and Experiences of Women Participating in a Digital Technology–Based Physical Activity Intervention (the mPED Trial): Qualitative Study. JMIR Public Health and Surveillance 2019;5(4):e13570
    CrossRef
  60. Øksnebjerg L, Janbek J, Woods B, Waldemar G. Assistive technology designed to support self-management of people with dementia: user involvement, dissemination, and adoption. A scoping review. International Psychogeriatrics 2020;32(8):937
    CrossRef
  61. Crane D, Garnett C, Brown J, West R, Michie S. Factors Influencing Usability of a Smartphone App to Reduce Excessive Alcohol Consumption: Think Aloud and Interview Studies. Frontiers in Public Health 2017;5
    CrossRef
  62. Gollamudi SS, Topol EJ, Wineinger NE. A framework for smartphone-enabled, patient-generated health data analysis. PeerJ 2016;4:e2284
    CrossRef
  63. Stühmann LM, Paprott R, Heidemann C, Baumert J, Hansen S, Zahn D, Scheidt-Nave C, Gellert P. Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey. JMIR Diabetes 2020;5(2):e14396
    CrossRef
  64. Haluza D, Böhm I. The Quantified Woman: Exploring Perceptions on Health App Use among Austrian Females of Reproductive Age. Reproductive Medicine 2020;1(2):132
    CrossRef
  65. Fuller-Tyszkiewicz M, Richardson B, Klein B, Skouteris H, Christensen H, Austin D, Castle D, Mihalopoulos C, O'Donnell R, Arulkadacham L, Shatte A, Ware A. A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study. JMIR Mental Health 2018;5(3):e54
    CrossRef
  66. Rana RH, Alam K, Gow J. Health outcome and expenditure in low-income countries: does increasing diffusion of information and communication technology matter?. Information Technology for Development 2020;26(3):506
    CrossRef
  67. Talwar D, Yeh Y, Chen W, Chen L. Characteristics and quality of genetics and genomics mobile apps: a systematic review. European Journal of Human Genetics 2019;27(6):833
    CrossRef
  68. Ali EE, Leow JL, Chew L, Yap KY. Patients’ Perception of App-based Educational and Behavioural Interventions for Enhancing Oral Anticancer Medication Adherence. Journal of Cancer Education 2018;33(6):1306
    CrossRef
  69. Zhang C, Ha L, Liu X, Wang Y. The role of regulatory focus in decision making of mobile app download: A study of Chinese college students. Telematics and Informatics 2018;35(8):2107
    CrossRef
  70. Özkan Şat S, Yaman Sözbir . Use of mobile applications and blogs by pregnant women in Turkey and the impact on adaptation to pregnancy. Midwifery 2018;62:273
    CrossRef
  71. Bardus M, Ali A, Demachkieh F, Hamadeh G. Assessing the Quality of Mobile Phone Apps for Weight Management: User-Centered Study With Employees From a Lebanese University. JMIR mHealth and uHealth 2019;7(1):e9836
    CrossRef
  72. Krebs P, Burkhalter J, Fiske J, Snow H, Schofield E, Iocolano M, Borderud S, Ostroff JS. The QuitIT Coping Skills Game for Promoting Tobacco Cessation Among Smokers Diagnosed With Cancer: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(1):e10071
    CrossRef
  73. Highland KB, Tran J, Edwards H, Bedocs P, Suen J, Buckenmaier CC. Feasibility of App-Based Postsurgical Assessment of Pain, Pain Impact, and Regional Anesthesia Effects: A Pilot Randomized Controlled Trial. Pain Medicine 2019;20(8):1592
    CrossRef
  74. . A Digital-First Model of Diabetes Care. Diabetes Technology & Therapeutics 2019;21(S2):S2-52
    CrossRef
  75. Estrada-Galiñanes V, Wac K, Hoehndorf R. Collecting, exploring and sharing personal data: Why, how and where. Data Science 2020;3(2):79
    CrossRef
  76. Kriwy P, Glöckner R. Einstellung zum Datenschutz und mHealth-Nutzung. Prävention und Gesundheitsförderung 2020;15(3):218
    CrossRef
  77. Sharif MO, Siddiqui NR, Hodges SJ. Patient awareness of orthodontic mobile phone apps. Journal of Orthodontics 2019;46(1):51
    CrossRef
  78. Raichle CJ, Eckstein J, Lapaire O, Leonardi L, Brasier N, Vischer AS, Burkard T. Performance of a Blood Pressure Smartphone App in Pregnant Women. Hypertension 2018;71(6):1164
    CrossRef
  79. Riley WT, Oh A, Aklin WM, Sherrill JT, Wolff-Hughes DL, Diana A, Griffin JA, Campo RA. Commentary: Pediatric Digital Health Supported by the National Institutes of Health. Journal of Pediatric Psychology 2019;44(3):263
    CrossRef
  80. Roberts S, Chaboyer W, Marshall AP. Hospital patients' perceptions of using a technology-based intervention to participate in their nutrition care: A qualitative descriptive study. Clinical Nutrition ESPEN 2020;39:79
    CrossRef
  81. Seifert A, Meidert U. „Quantified seniors“. Prävention und Gesundheitsförderung 2018;13(4):353
    CrossRef
  82. Chiu W, Cho H, Chi CG. Consumers' continuance intention to use fitness and health apps: an integration of the expectation–confirmation model and investment model. Information Technology & People 2021;34(3):978
    CrossRef
  83. Abelson JS, Symer M, Peters A, Charlson M, Yeo H. Mobile health apps and recovery after surgery: What are patients willing to do?. The American Journal of Surgery 2017;214(4):616
    CrossRef
  84. Meinert E, Van Velthoven M, Brindley D, Alturkistani A, Foley K, Rees S, Wells G, de Pennington N. The Internet of Things in Health Care in Oxford: Protocol for Proof-of-Concept Projects. JMIR Research Protocols 2018;7(12):e12077
    CrossRef
  85. Glattacker M, Boeker M, Anger R, Reichenbach F, Tassoni A, Bredenkamp R, Giesler JM. Evaluation of a Mobile Phone App for Patients With Pollen-Related Allergic Rhinitis: Prospective Longitudinal Field Study. JMIR mHealth and uHealth 2020;8(4):e15514
    CrossRef
  86. de Vries ST, Denig P, Lasheras Ruiz C, Houÿez F, Wong L, Sutcliffe A, Mol PGM. Interest in a Mobile App for Two-Way Risk Communication: A Survey Study Among European Healthcare Professionals and Patients. Drug Safety 2018;41(7):697
    CrossRef
  87. Torous J, Nicholas J, Larsen ME, Firth J, Christensen H. Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements. Evidence Based Mental Health 2018;21(3):116
    CrossRef
  88. Wright JH, Mishkind M. Computer-Assisted CBT and Mobile Apps for Depression: Assessment and Integration Into Clinical Care. FOCUS 2020;18(2):162
    CrossRef
  89. Evans SH, Clarke P, Glovinsky J. A Consumer Health App Works Well. . . But, Diffusion Is Not So Easy. Journal of Technology in Behavioral Science 2020;5(2):164
    CrossRef
  90. Ivatury SJ, Hazard-Jenkins HW, Brooks GA, McCleary NJ, Wong SL, Schrag D. Translation of Patient-Reported Outcomes in Oncology Clinical Trials to Everyday Practice. Annals of Surgical Oncology 2020;27(1):65
    CrossRef
  91. Raspa M, Fitzgerald T, Furberg RD, Wylie A, Moultrie R, DeRamus M, Wheeler AC, McCormack L. Mobile technology use and skills among individuals with fragile X syndrome: implications for healthcare decision making. Journal of Intellectual Disability Research 2018;62(10):821
    CrossRef
  92. Kellett S, Easton K, Cooper M, Millings A, Simmonds-Buckley M, Parry G. Evaluation of a Mobile App to Enhance Relational Awareness and Change During Cognitive Analytic Therapy: Mixed Methods Case Series. JMIR Mental Health 2020;7(12):e19888
    CrossRef
  93. Breitinger F, Tully-Doyle R, Hassenfeldt C. A survey on smartphone user’s security choices, awareness and education. Computers & Security 2020;88:101647
    CrossRef
  94. Poulton A, Pan J, Bruns Jr LR, Sinnott RO, Hester R. A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity. JMIR mHealth and uHealth 2019;7(3):e11157
    CrossRef
  95. Palmer KM, Burrows V. Ethical and Safety Concerns Regarding the Use of Mental Health–Related Apps in Counseling: Considerations for Counselors. Journal of Technology in Behavioral Science 2021;6(1):137
    CrossRef
  96. Paige SR, Alber JM, Stellefson ML, Krieger JL. Missing the mark for patient engagement: mHealth literacy strategies and behavior change processes in smoking cessation apps. Patient Education and Counseling 2018;101(5):951
    CrossRef
  97. Rhea CK, Felsberg DT, Maher JP. Toward Evidence-Based Smartphone Apps to Enhance Human Health: Adoption of Behavior Change Techniques. American Journal of Health Education 2018;49(4):210
    CrossRef
  98. Miyamoto S, Henderson S, Fazio S, Saconi B, Thiede E, Greenwood DA, Young HM. Empowering Diabetes Self-Management Through Technology and Nurse Health Coaching. The Diabetes Educator 2019;45(6):586
    CrossRef
  99. Chérrez-Ojeda I, Vanegas E, Calero E, Plaza K, Cano JA, Calderon JC, Valdano J, Gutierrez JO, Guevara J. What Kind of Information and Communication Technologies Do Patients with Type 2 Diabetes Mellitus Prefer? An Ecuadorian Cross-Sectional Study. International Journal of Telemedicine and Applications 2018;2018:1
    CrossRef
  100. Modzelewski KL, Stockman M, Steenkamp DW. Rethinking the Endpoints of mHealth Intervention Research in Diabetes Care. Journal of Diabetes Science and Technology 2018;12(2):389
    CrossRef
  101. Ilagan GS, Iliakis EA, Wilks CR, Vahia IV, Choi-Kain LW. Smartphone applications targeting borderline personality disorder symptoms: a systematic review and meta-analysis. Borderline Personality Disorder and Emotion Dysregulation 2020;7(1)
    CrossRef
  102. Luo D, Wang P, Lu F, Elias J, Sparks JA, Lee YC. Mobile Apps for Individuals With Rheumatoid Arthritis. JCR: Journal of Clinical Rheumatology 2019;25(3):133
    CrossRef
  103. Ab Malik N, Zhang J, Lam OLT, Jin L, McGrath C. Effectiveness of computer-aided learning in oral health among patients and caregivers: a systematic review. Journal of the American Medical Informatics Association 2017;24(1):209
    CrossRef
  104. Benjumea J, Ropero J, Rivera-Romero O, Dorronzoro-Zubiete E, Carrasco A. Privacy Assessment in Mobile Health Apps: Scoping Review. JMIR mHealth and uHealth 2020;8(7):e18868
    CrossRef
  105. Lee PH, Marek J, Nálevka P. Crowdsourced smartphone data reveal altered sleep/wake pattern in quarantined Chinese during the COVID-19 outbreak. Chronobiology International 2020;37(8):1181
    CrossRef
  106. Oakley-Girvan I, Lavista JM, Miller Y, Davis S, Acle C, Hancock J, Nelson LM. Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study. JMIR Formative Research 2019;3(1):e10246
    CrossRef
  107. Anderson K, Burford O, Emmerton L, van Ooijen PM. Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences. PLOS ONE 2016;11(5):e0156164
    CrossRef
  108. Mohr DC, Tomasino KN, Lattie EG, Palac HL, Kwasny MJ, Weingardt K, Karr CJ, Kaiser SM, Rossom RC, Bardsley LR, Caccamo L, Stiles-Shields C, Schueller SM. IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety. Journal of Medical Internet Research 2017;19(1):e10
    CrossRef
  109. Kim K, Kim K, Lee D, Kim M. Identification of critical quality dimensions for continuance intention in mHealth services: Case study of onecare service. International Journal of Information Management 2019;46:187
    CrossRef
  110. Lipschitz JM, Connolly SL, Miller CJ, Hogan TP, Simon SR, Burdick KE. Patient interest in mental health mobile app interventions: Demographic and symptom-level differences. Journal of Affective Disorders 2020;263:216
    CrossRef
  111. del Río Carral M, Roux P, Bruchez C, Santiago-Delefosse M. Santé digitale : promesses, défis et craintes. Une revue de la littérature. Pratiques Psychologiques 2017;23(1):61
    CrossRef
  112. Brew-Sam N, Chib A, Rossmann C. Differential influences of social support on app use for diabetes self-management – a mixed methods approach. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  113. Reid J, Wiseman‐Orr L, Scott M. Shortening of an existing generic online health‐related quality of life instrument for dogs. Journal of Small Animal Practice 2018;59(6):334
    CrossRef
  114. Livingston NA, Shingleton R, Heilman ME, Brief D. Self-help Smartphone Applications for Alcohol Use, PTSD, Anxiety, and Depression: Addressing the New Research-Practice Gap. Journal of Technology in Behavioral Science 2019;4(2):139
    CrossRef
  115. Collado-Borrell R, Escudero-Vilaplana V, Calles A, Garcia-Martin E, Marzal-Alfaro B, Gonzalez-Haba E, Herranz-Alonso A, Sanjurjo-Saez M. Oncology Patient Interest in the Use of New Technologies to Manage Their Disease: Cross-Sectional Survey. Journal of Medical Internet Research 2018;20(10):e11006
    CrossRef
  116. Marshall JM, Dunstan DA, Bartik W. Clinical or gimmickal: The use and effectiveness of mobile mental health apps for treating anxiety and depression. Australian & New Zealand Journal of Psychiatry 2020;54(1):20
    CrossRef
  117. De Cock N, Vangeel J, Lachat C, Beullens K, Vervoort L, Goossens L, Maes L, Deforche B, De Henauw S, Braet C, Eggermont S, Kolsteren P, Van Camp J, Van Lippevelde W. Use of Fitness and Nutrition Apps: Associations With Body Mass Index, Snacking, and Drinking Habits in Adolescents. JMIR mHealth and uHealth 2017;5(4):e58
    CrossRef
  118. Kornfield R, Toma CL, Shah DV, Moon TJ, Gustafson DH. What Do You Say Before You Relapse? How Language Use in a Peer-to-peer Online Discussion Forum Predicts Risky Drinking among Those in Recovery. Health Communication 2018;33(9):1184
    CrossRef
  119. Petersen JM, Kemps E, Lewis LK, Prichard I. Psychological mechanisms underlying the relationship between commercial physical activity app use and physical activity engagement. Psychology of Sport and Exercise 2020;51:101719
    CrossRef
  120. Kankanhalli A, Saxena M, Wadhwa B. Combined interventions for physical activity, sleep, and diet using smartphone apps: A scoping literature review. International Journal of Medical Informatics 2019;123:54
    CrossRef
  121. Stec M, Arbour MW. Wellness and Disease Self-Management Mobile Health Apps Evaluated by the Mobile Application Rating Scale. Advances in Family Practice Nursing 2020;2:87
    CrossRef
  122. Steinert A, Eicher C, Haesner M, Steinhagen-Thiessen E. Effects of a long-term smartphone-based self-monitoring intervention in patients with lipid metabolism disorders. Assistive Technology 2020;32(2):109
    CrossRef
  123. . The ‘wicked problem’ of telerehabilitation: Considerations for planning the way forward. AIMS Medical Science 2018;5(4):357
    CrossRef
  124. DiFilippo KN, Huang W, Chapman-Novakofski KM. A New Tool for Nutrition App Quality Evaluation (AQEL): Development, Validation, and Reliability Testing. JMIR mHealth and uHealth 2017;5(10):e163
    CrossRef
  125. Xie W, Ding R, Yan J, Qu Y. A Mobile-Based Question-Answering and Early Warning System for Assisting Diabetes Management. Wireless Communications and Mobile Computing 2018;2018:1
    CrossRef
  126. Robbins R, Krebs P, Rapoport DM, Jean-Louis G, Duncan DT. Examining Use of Mobile Phones for Sleep Tracking Among a National Sample in the USA. Health Communication 2019;34(5):545
    CrossRef
  127. Gambier-Ross K, McLernon DJ, Morgan HM. A mixed methods exploratory study of women’s relationships with and uses of fertility tracking apps. DIGITAL HEALTH 2018;4:205520761878507
    CrossRef
  128. Cheng SC, Backonja U, Buck B, Monroe‐DeVita M, Walsh E. Facilitating pathways to care: A qualitative study of the self‐reported needs and coping skills of caregivers of young adults diagnosed with early psychosis. Journal of Psychiatric and Mental Health Nursing 2020;27(4):368
    CrossRef
  129. Grassl N, Nees J, Schramm K, Spratte J, Sohn C, Schott TC, Schott S. A Web-Based Survey Assessing the Attitudes of Health Care Professionals in Germany Toward the Use of Telemedicine in Pregnancy Monitoring: Cross-Sectional Study. JMIR mHealth and uHealth 2018;6(8):e10063
    CrossRef
  130. Sill J, Steenbock B, Helmer S, Zeeb H, Pischke CR. Apps zur Förderung von körperlicher Aktivität – Nutzung und Einstellungen bei Erwachsenen im Alter von 50 Jahren und älter. Prävention und Gesundheitsförderung 2019;14(2):109
    CrossRef
  131. Zhou L, Parmanto B, Alfikri Z, Bao J. A Mobile App for Assisting Users to Make Informed Selections in Security Settings for Protecting Personal Health Data: Development and Feasibility Study. JMIR mHealth and uHealth 2018;6(12):e11210
    CrossRef
  132. Siqueira do Prado L, Carpentier C, Preau M, Schott A, Dima AL. Behavior Change Content, Understandability, and Actionability of Chronic Condition Self-Management Apps Available in France: Systematic Search and Evaluation. JMIR mHealth and uHealth 2019;7(8):e13494
    CrossRef
  133. Minen MT, Stieglitz EJ, Sciortino R, Torous J. Privacy Issues in Smartphone Applications: An Analysis of Headache/Migraine Applications. Headache: The Journal of Head and Face Pain 2018;58(7):1014
    CrossRef
  134. Tatara N, Hammer HL, Andreassen HK, Mirkovic J, Kjøllesdal MKR. The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway. JMIR Public Health and Surveillance 2017;3(4):e68
    CrossRef
  135. Moguel E, Berrocal J, García-Alonso J. Systematic Literature Review of Food-Intake Monitoring in an Aging Population. Sensors 2019;19(15):3265
    CrossRef
  136. Clarke P, Evans SH, Neffa-Creech D. Mobile app increases vegetable-based preparations by low-income household cooks: a randomized controlled trial. Public Health Nutrition 2019;22(4):714
    CrossRef
  137. Owens OL, Beer JM, Reyes LI, Gallerani DG, Myhren-Bennett AR, McDonnell KK. Mindfulness-Based Symptom and Stress Management Apps for Adults With Chronic Lung Disease: Systematic Search in App Stores. JMIR mHealth and uHealth 2018;6(5):e124
    CrossRef
  138. Rising CJ, Jensen RE, Moser RP, Oh A. Characterizing the US Population by Patterns of Mobile Health Use for Health and Behavioral Tracking: Analysis of the National Cancer Institute's Health Information National Trends Survey Data. Journal of Medical Internet Research 2020;22(5):e16299
    CrossRef
  139. Fulton E, Kwah K, Wild S, Brown K. Lost in Translation: Transforming Behaviour Change Techniques into Engaging Digital Content and Design for the StopApp. Healthcare 2018;6(3):75
    CrossRef
  140. de Vries ST, Wong L, Sutcliffe A, Houÿez F, Ruiz CL, Mol PGM. Factors Influencing the Use of a Mobile App for Reporting Adverse Drug Reactions and Receiving Safety Information: A Qualitative Study. Drug Safety 2017;40(5):443
    CrossRef
  141. Laird EA, Ryan A, McCauley C, Bond RB, Mulvenna MD, Curran KJ, Bunting B, Ferry F, Gibson A. Using Mobile Technology to Provide Personalized Reminiscence for People Living With Dementia and Their Carers: Appraisal of Outcomes From a Quasi-Experimental Study. JMIR Mental Health 2018;5(3):e57
    CrossRef
  142. Liu C, Agarwal R. Unraveling the 'Social' in Social Norms: The Conditioning Effect of User Connectivity. SSRN Electronic Journal 2017;
    CrossRef
  143. Stiles-Shields C, Montague E, Lattie EG, Kwasny MJ, Mohr DC. What might get in the way: Barriers to the use of apps for depression. DIGITAL HEALTH 2017;3:205520761771382
    CrossRef
  144. Mauch CE, Wycherley TP, Laws RA, Johnson BJ, Bell LK, Golley RK. Mobile Apps to Support Healthy Family Food Provision: Systematic Assessment of Popular, Commercially Available Apps. JMIR mHealth and uHealth 2018;6(12):e11867
    CrossRef
  145. Aji M, Gordon C, Peters D, Bartlett D, Calvo RA, Naqshbandi K, Glozier N. Exploring User Needs and Preferences for Mobile Apps for Sleep Disturbance: Mixed Methods Study. JMIR Mental Health 2019;6(5):e13895
    CrossRef
  146. O’Brien T, Russell CL, Tan A, Washington M, Hathaway D. An Exploratory Correlational Study in the Use of Mobile Technology Among Adult Kidney Transplant Recipients. Progress in Transplantation 2018;28(4):368
    CrossRef
  147. Eikey EV, Reddy MC, Booth KM, Kvasny L, Blair JL, Li V, Poole ES. Desire to Be Underweight: Exploratory Study on a Weight Loss App Community and User Perceptions of the Impact on Disordered Eating Behaviors. JMIR mHealth and uHealth 2017;5(10):e150
    CrossRef
  148. Sharif MO, Alkadhimi A. Patient focused oral hygiene apps: an assessment of quality (using MARS) and knowledge content. British Dental Journal 2019;227(5):383
    CrossRef
  149. Montagni I, Cariou T, Feuillet T, Langlois E, Tzourio C. Exploring Digital Health Use and Opinions of University Students: Field Survey Study. JMIR mHealth and uHealth 2018;6(3):e65
    CrossRef
  150. Abu-Saad K, Murad H, Barid R, Olmer L, Ziv A, Younis-Zeidan N, Kaufman-Shriqui V, Gillon-Keren M, Rigler S, Berchenko Y, Kalter-Leibovici O. Development and Efficacy of an Electronic, Culturally Adapted Lifestyle Counseling Tool for Improving Diabetes-Related Dietary Knowledge: Randomized Controlled Trial Among Ethnic Minority Adults With Type 2 Diabetes Mellitus. Journal of Medical Internet Research 2019;21(10):e13674
    CrossRef
  151. Rasche P, Mertens A, Brandl C, Liu S, Buecking B, Bliemel C, Horst K, Weber CD, Lichte P, Knobe M. Satisfying Product Features of a Fall Prevention Smartphone App and Potential Users’ Willingness to Pay: Web-Based Survey Among Older Adults. JMIR mHealth and uHealth 2018;6(3):e75
    CrossRef
  152. Bach RL, Wenz A, Borsci S. Studying health-related internet and mobile device use using web logs and smartphone records. PLOS ONE 2020;15(6):e0234663
    CrossRef
  153. . Asthma mobile applications. Annals of Allergy, Asthma & Immunology 2018;120(4):347
    CrossRef
  154. Spruill TM, Reynolds HR, Dickson VV, Shallcross AJ, Visvanathan PD, Park C, Kalinowski J, Zhong H, Berger JS, Hochman JS, Fishman GI, Ogedegbe G. Telephone-based mindfulness training to reduce stress in women with myocardial infarction: Rationale and design of a multicenter randomized controlled trial. American Heart Journal 2018;202:61
    CrossRef
  155. Massoomi MR, Handberg EM. Increasing and Evolving Role of Smart Devices in Modern Medicine. European Cardiology Review 2019;14(3):181
    CrossRef
  156. Milward J, Deluca P, Drummond C, Watson R, Dunne J, Kimergård A. Usability Testing of the BRANCH Smartphone App Designed to Reduce Harmful Drinking in Young Adults. JMIR mHealth and uHealth 2017;5(8):e109
    CrossRef
  157. Sotillos-González B, Buiza-Camacho B, Herrera-Usagre M, Escobar-Ubreva , Fernández-Bermejo M, Santana-López V, Ferrero-Álvarez-Rementería J. Visión ciudadana sobre la prescripción de aplicaciones móviles de salud y el uso de tecnologías de la información y la comunicación en el entorno sanitario en Andalucía. Journal of Healthcare Quality Research 2018;33(4):225
    CrossRef
  158. Ralston AL, Andrews AR, Hope DA. Fulfilling the promise of mental health technology to reduce public health disparities: Review and research agenda.. Clinical Psychology: Science and Practice 2019;26(1)
    CrossRef
  159. Prapkree L, Sadjadi M, Huffman F, Palacios C. Development and Pilot Testing of the Snackability Smartphone Application to Identify Healthy and Unhealthy Snacks. Healthcare Informatics Research 2019;25(3):161
    CrossRef
  160. Abduo H, Curtain C, Othman N. Use of Smartphone Applications for Diabetes Management in Kuwait: A Pilot Study. Journal of Consumer Health on the Internet 2020;24(2):111
    CrossRef
  161. Goedel WC, Mitchell JW, Krebs P, Duncan DT. Willingness to Use Mobile Phone Apps for HIV Prevention Among Men Who Have Sex with Men in London: Web-Based Survey. JMIR mHealth and uHealth 2017;5(10):e153
    CrossRef
  162. Escoffery C, McGee R, Bidwell J, Sims C, Thropp EK, Frazier C, Mynatt ED. A review of mobile apps for epilepsy self-management. Epilepsy & Behavior 2018;81:62
    CrossRef
  163. Dittrich F, Busch A, Harren K, Jäger M, Landgraeber S, Reinecke F, Beck S. Klinischer Einsatz mobiler Applikationen in der Orthopädie und Unfallchirurgie in Deutschland. Der Unfallchirurg 2019;122(9):690
    CrossRef
  164. Mahmood A, Kedia S, Wyant DK, Ahn S, Bhuyan SS. Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions. DIGITAL HEALTH 2019;5:205520761988218
    CrossRef
  165. Sarcona A, Kovacs L, Wright J, Williams C. Differences in Eating Behavior, Physical Activity, and Health-related Lifestyle Choices between Users and Nonusers of Mobile Health Apps. American Journal of Health Education 2017;48(5):298
    CrossRef
  166. Priesterroth L, Grammes J, Holtz K, Reinwarth A, Kubiak T. Gamification and Behavior Change Techniques in Diabetes Self-Management Apps. Journal of Diabetes Science and Technology 2019;13(5):954
    CrossRef
  167. Ndayizigamiye P, Kante M, Shingwenyana S, Warnick J. An adoption model of mHealth applications that promote physical activity. Cogent Psychology 2020;7(1)
    CrossRef
  168. Ford EA, Roman SD, McLaughlin EA, Beckett EL, Sutherland JM. The association between reproductive health smartphone applications and fertility knowledge of Australian women. BMC Women's Health 2020;20(1)
    CrossRef
  169. Schmidt-Kraepelin M, Toussaint PA, Thiebes S, Hamari J, Sunyaev A. Archetypes of Gamification: Analysis of mHealth Apps. JMIR mHealth and uHealth 2020;8(10):e19280
    CrossRef
  170. Shade M, Boron J, Manley N, Kupzyk K, Pullen C. Ease of Use and Usefulness of Medication Reminder Apps among Rural Aging Adults. Journal of Community Health Nursing 2019;36(3):105
    CrossRef
  171. Stawarz K, Preist C, Tallon D, Wiles N, Coyle D. User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews. Journal of Medical Internet Research 2018;20(6):e10120
    CrossRef
  172. Mueller NE, Panch T, Macias C, Cohen BM, Ongur D, Baker JT. Using Smartphone Apps to Promote Psychiatric Rehabilitation in a Peer-Led Community Support Program: Pilot Study. JMIR Mental Health 2018;5(3):e10092
    CrossRef
  173. Baskerville NB, Struik LL, Dash D. Crush the Crave: Development and Formative Evaluation of a Smartphone App for Smoking Cessation. JMIR mHealth and uHealth 2018;6(3):e52
    CrossRef
  174. Garnett C, Crane D, West R, Michie S, Brown J, Winstock A. User characteristics of a smartphone app to reduce alcohol consumption. Translational Behavioral Medicine 2017;7(4):845
    CrossRef
  175. Stiles-Shields C, Montague E, Lattie EG, Schueller SM, Kwasny MJ, Mohr DC. Exploring User Learnability and Learning Performance in an App for Depression: Usability Study. JMIR Human Factors 2017;4(3):e18
    CrossRef
  176. Wang P, Luo D, Lu F, Elias JS, Landman AB, Michaud KD, Lee YC. A Novel Mobile App and Population Management System to Manage Rheumatoid Arthritis Flares: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2018;7(4):e84
    CrossRef
  177. Marques G, Pitarma R. mHealth: Indoor Environmental Quality Measuring System for Enhanced Health and Well-Being Based on Internet of Things. Journal of Sensor and Actuator Networks 2019;8(3):43
    CrossRef
  178. Zhang Y, Liu C, Luo S, Huang J, Li X, Zhou Z. Effectiveness of Lilly Connected Care Program (LCCP) App-Based Diabetes Education for Patients With Type 2 Diabetes Treated With Insulin: Retrospective Real-World Study. JMIR mHealth and uHealth 2020;8(3):e17455
    CrossRef
  179. Abbate KJ, Hingle MD, Armin J, Giacobbi Jr P, Gordon JS. Recruiting Women to a Mobile Health Smoking Cessation Trial: Low- and No-Cost Strategies. JMIR Research Protocols 2017;6(11):e219
    CrossRef
  180. Doerr M, Suver C, Wilbanks J. Developing a Transparent, Participant-Navigated Electronic Informed Consent for Mobile-Mediated Research. SSRN Electronic Journal 2016;
    CrossRef
  181. Hsieh KL, Fanning JT, Rogers WA, Wood TA, Sosnoff JJ. A Fall Risk mHealth App for Older Adults: Development and Usability Study. JMIR Aging 2018;1(2):e11569
    CrossRef
  182. Wes AM, Paul N, Gerety PA, Folsom N, Swanson J, Taylor JA, Weinstein MH. A Sustainable Model for Patient follow-up following an International Cleft Mission. The Cleft Palate-Craniofacial Journal 2018;55(7):977
    CrossRef
  183. Neffa-Creech D, Clarke P, Evans SH, Glovinsky J. “Food is something everyone should participate in”: A positive deviance approach to understanding the use of a food and nutrition app in low-income, Latino homes. SAGE Open Medicine 2020;8:205031212093484
    CrossRef
  184. Calderón J, Cherrez A, Ramón GD, Lopez Jove O, Baptist A, Matos E, Morfín Maciel B, Calero E, Sanchez-Borges M, Cherrez S, Simancas-Racines D, Cherrez Ojeda I. Information and communication technology use in asthmatic patients: a cross-sectional study in Latin America. ERJ Open Research 2017;3(3):00005-2017
    CrossRef
  185. Kanthawala S, Joo E, Kononova A, Peng W, Cotten S. Folk theorizing the quality and credibility of health apps. Mobile Media & Communication 2019;7(2):175
    CrossRef
  186. Poppe L, Van der Mispel C, Crombez G, De Bourdeaudhuij I, Schroé H, Verloigne M. How Users Experience and Use an eHealth Intervention Based on Self-Regulation: Mixed-Methods Study. Journal of Medical Internet Research 2018;20(10):e10412
    CrossRef
  187. Elavsky S, Smahel D, Machackova H. Who are mobile app users from healthy lifestyle websites? Analysis of patterns of app use and user characteristics. Translational Behavioral Medicine 2017;7(4):891
    CrossRef
  188. Flitcroft L, Chen WS, Meyer D. The Demographic Representativeness and Health Outcomes of Digital Health Station Users: Longitudinal Study. Journal of Medical Internet Research 2020;22(6):e14977
    CrossRef
  189. Sheon AR, Bolen SD, Callahan B, Shick S, Perzynski AT. Addressing Disparities in Diabetes Management Through Novel Approaches to Encourage Technology Adoption and Use. JMIR Diabetes 2017;2(2):e16
    CrossRef
  190. Kim K, Lee C, Hornik RC. Exploring the Effect of Health App Use on Fruit and Vegetable Consumption. Journal of Health Communication 2020;25(4):283
    CrossRef
  191. Kastelein AW, Dicker MFA, Opmeer BC, Angles SS, Raatikainen KE, Alonso JF, Tăut D, Airaksinen O, Cardozo LD, Roovers JWR. Innovative treatment modalities for urinary incontinence: a European survey identifying experience and attitude of healthcare providers. International Urogynecology Journal 2017;28(11):1725
    CrossRef
  192. Payne JE, Turk MT, Kalarchian MA, Pellegrini CA. Defining Adherence to Dietary Self-Monitoring Using a Mobile App: A Narrative Review. Journal of the Academy of Nutrition and Dietetics 2018;118(11):2094
    CrossRef
  193. Rosen KD, Paniagua SM, Kazanis W, Jones S, Potter JS. Quality of life among women diagnosed with breast Cancer: A randomized waitlist controlled trial of commercially available mobile app‐delivered mindfulness training. Psycho-Oncology 2018;27(8):2023
    CrossRef
  194. Dienelt K, Moores CJ, Miller J, Mehta K. An investigation into the use of infant feeding tracker apps by breastfeeding mothers. Health Informatics Journal 2020;26(3):1672
    CrossRef
  195. Morawski K, Ghazinouri R, Krumme A, Lauffenburger JC, Lu Z, Durfee E, Oley L, Lee J, Mohta N, Haff N, Juusola JL, Choudhry NK. Association of a Smartphone Application With Medication Adherence and Blood Pressure Control. JAMA Internal Medicine 2018;178(6):802
    CrossRef
  196. Powell AC, Torous JB, Firth J, Kaufman KR. Generating value with mental health apps. BJPsych Open 2020;6(2)
    CrossRef
  197. Newcomb ME, Swann G, Mohr D, Mustanski B. Do Diary Studies Cause Behavior Change? An Examination of Reactivity in Sexual Risk and Substance Use in Young Men Who Have Sex with Men. AIDS and Behavior 2018;22(7):2284
    CrossRef
  198. Rodriguez EM, Thomas D, Druet A, Vlajic-Wheeler M, Lane KJ, Mahalingaiah S. Identifying Women at Risk for Polycystic Ovary Syndrome Using a Mobile Health App: Virtual Tool Functionality Assessment. JMIR Formative Research 2020;4(5):e15094
    CrossRef
  199. Baek H, Suh J, Kang S, Kang S, Lim TH, Hwang H, Yoo S. Enhancing User Experience Through User Study: Design of an mHealth Tool for Self-Management and Care Engagement of Cardiovascular Disease Patients. JMIR Cardio 2018;2(1):e3
    CrossRef
  200. Embacher Martin K, McGloin R, Atkin D. Body dissatisfaction, neuroticism, and female sex as predictors of calorie-tracking app use amongst college students. Journal of American College Health 2018;66(7):608
    CrossRef
  201. Plastiras P, O’Sullivan D. Exchanging personal health data with electronic health records: A standardized information model for patient generated health data and observations of daily living. International Journal of Medical Informatics 2018;120:116
    CrossRef
  202. Preum SM, Mondol AS, Ma M, Wang H, Stankovic JA. Preclude2: Personalized conflict detection in heterogeneous health applications. Pervasive and Mobile Computing 2017;42:226
    CrossRef
  203. Robbins R, Krebs P, Jagannathan R, Jean-Louis G, Duncan DT. Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status. JMIR mHealth and uHealth 2017;5(12):e197
    CrossRef
  204. Lin TT, Bautista JR, Core R. Seniors and mobiles: A qualitative inquiry of mHealth adoption among Singapore seniors. Informatics for Health and Social Care 2020;45(4):360
    CrossRef
  205. Carlo AD, Hosseini Ghomi R, Renn BN, Areán PA. By the numbers: ratings and utilization of behavioral health mobile applications. npj Digital Medicine 2019;2(1)
    CrossRef
  206. Do TTT, Le MD, Van Nguyen T, Tran BX, Le HT, Nguyen HD, Nguyen LH, Nguyen CT, Tran TD, Latkin CA, Ho RCM, Zhang MWB. Receptiveness and preferences of health-related smartphone applications among Vietnamese youth and young adults. BMC Public Health 2018;18(1)
    CrossRef
  207. McKinney P, Cox AM, Sbaffi L. Information Literacy in Food and Activity Tracking Among Parkrunners, People With Type 2 Diabetes, and People With Irritable Bowel Syndrome: Exploratory Study. Journal of Medical Internet Research 2019;21(8):e13652
    CrossRef
  208. Jankowski J, Saganowski S, Bródka P. Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials. Mobile Information Systems 2016;2016:1
    CrossRef
  209. MacKrill K, Groom KM, Petrie KJ. The effect of symptom‐tracking apps on symptom reporting. British Journal of Health Psychology 2020;25(4):1074
    CrossRef
  210. . The Effects of a Mobile Personal Health Records (PHR) Application on Consumer Health Behavior. Journal of the Korean Society for information Management 2016;33(4):7
    CrossRef
  211. Torous J, Rodriguez J, Powell A. The New Digital Divide For Digital Biomarkers. Digital Biomarkers 2017;1(1):87
    CrossRef
  212. Lee JW, Theng Y, Lee SW. Health information seeking behaviour using mobile devices among people with diabetes: A comparison between Middle and high income country. DIGITAL HEALTH 2020;6:205520762095645
    CrossRef
  213. Bry LJ, Chou T, Miguel E, Comer JS. Consumer Smartphone Apps Marketed for Child and Adolescent Anxiety: A Systematic Review and Content Analysis. Behavior Therapy 2018;49(2):249
    CrossRef
  214. Smith B, Magnani JW. New technologies, new disparities: The intersection of electronic health and digital health literacy. International Journal of Cardiology 2019;292:280
    CrossRef
  215. Huang G, Ren Y. Linking technological functions of fitness mobile apps with continuance usage among Chinese users: Moderating role of exercise self-efficacy. Computers in Human Behavior 2020;103:151
    CrossRef
  216. Springer A, Venkatakrishnan A, Mohan S, Nelson L, Silva M, Pirolli P. Leveraging Self-Affirmation to Improve Behavior Change: A Mobile Health App Experiment. JMIR mHealth and uHealth 2018;6(7):e157
    CrossRef
  217. Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing LV, Monteith S, Faurholt-Jepsen M, Severus E, Whybrow PC. Smartphones in mental health: a critical review of background issues, current status and future concerns. International Journal of Bipolar Disorders 2020;8(1)
    CrossRef
  218. Plante TB, O’Kelly AC, Urrea B, MacFarlane ZT, Blumenthal RS, Charleston J, Miller ER, Appel LJ, Martin SS. User experience of instant blood pressure: exploring reasons for the popularity of an inaccurate mobile health app. npj Digital Medicine 2018;1(1)
    CrossRef
  219. Huberty J, Green J, Glissmann C, Larkey L, Puzia M, Lee C. Efficacy of the Mindfulness Meditation Mobile App “Calm” to Reduce Stress Among College Students: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(6):e14273
    CrossRef
  220. Gür F, Gür GC, Ayan V. The Effect of the ERVE Smartphone App on Physical Activity, Quality of Life, Self-Efficacy, and Exercise Motivation for Inactive People: A Randomized Controlled Trial. European Journal of Integrative Medicine 2020;39:101198
    CrossRef
  221. Tavares BF, Pires IM, Marques G, Garcia NM, Zdravevski E, Lameski P, Trajkovik V, Jevremovic A. Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Information 2020;11(7):343
    CrossRef
  222. Mao X, Zhao X, Liu Y. mHealth App recommendation based on the prediction of suitable behavior change techniques. Decision Support Systems 2020;132:113248
    CrossRef
  223. Gunawardena KC, Jackson R, Robinett I, Dhaniska L, Jayamanne S, Kalpani S, Muthukuda D. The Influence of the Smart Glucose Manager Mobile Application on Diabetes Management. Journal of Diabetes Science and Technology 2019;13(1):75
    CrossRef
  224. Church D, Stapleton P, Sabot D. App-Based Delivery of Clinical Emotional Freedom Techniques: Cross-Sectional Study of App User Self-Ratings. JMIR mHealth and uHealth 2020;8(10):e18545
    CrossRef
  225. Owens OL, Beer JM, Reyes LI, Thomas TL. Systematic Review of Commercially Available Mobile Phone Applications for Prostate Cancer Education. American Journal of Men's Health 2019;13(1):155798831881691
    CrossRef
  226. Spears CA, Abroms LC, Glass CR, Hedeker D, Eriksen MP, Cottrell-Daniels C, Tran BQ, Wetter DW. Mindfulness-Based Smoking Cessation Enhanced With Mobile Technology (iQuit Mindfully): Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(6):e13059
    CrossRef
  227. . Use of Weight-Management Mobile Phone Apps in Saudi Arabia: A Web-Based Survey. JMIR mHealth and uHealth 2019;7(2):e12692
    CrossRef
  228. Yin Z, Errisuriz VL, Evans M, Inupakutika D, Kaghyan S, Li S, Esparza L, Akopian D, Parra-Medina D. A Digital Health Intervention for Weight Management for Latino Families Living in Rural Communities: Perspectives and Lessons Learned During Development. JMIR Formative Research 2020;4(8):e20679
    CrossRef
  229. Mascarenhas MN, Chan JM, Vittinghoff E, Van Blarigan EL, Hecht F. Increasing Physical Activity in Mothers Using Video Exercise Groups and Exercise Mobile Apps: Randomized Controlled Trial. Journal of Medical Internet Research 2018;20(5):e179
    CrossRef
  230. . Evaluating Health and Wellness Mobile Applications. Journal of Hospital Librarianship 2018;18(3):266
    CrossRef
  231. Cho H, Porras T, Flynn G, Schnall R. Usability of a Consumer Health Informatics Tool Following Completion of a Clinical Trial: Focus Group Study. Journal of Medical Internet Research 2020;22(6):e17708
    CrossRef
  232. Kebede M, Schuett C, Pischke C. The Role of Continuous Glucose Monitoring, Diabetes Smartphone Applications, and Self-Care Behavior in Glycemic Control: Results of a Multi-National Online Survey. Journal of Clinical Medicine 2019;8(1):109
    CrossRef
  233. Black N, Loomes M, Juraskova I, Johnston I. Engagement in a Novel Internet Intervention for Alcohol Reduction: A Qualitative Study of User Motivations and Experiences. Cyberpsychology, Behavior, and Social Networking 2020;23(4):225
    CrossRef
  234. Chen S, Sun G, Cen X, Liu J, Ye J, Chen J, Lei L, He Y, Song F, Guo W, Liang Y, Hu Y, Chen K, Chen L, Tan N, Liu Y. Characteristics and requirements of hypertensive patients willing to use digital health tools in the Chinese community: a multicentre cross-sectional survey. BMC Public Health 2020;20(1)
    CrossRef
  235. Simons D, De Bourdeaudhuij I, Clarys P, De Cocker K, Vandelanotte C, Deforche B. Effect and Process Evaluation of a Smartphone App to Promote an Active Lifestyle in Lower Educated Working Young Adults: Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(8):e10003
    CrossRef
  236. Birkhoff SD, Cantrell MA, Moriarty H, Lustig R. The Usability and Acceptability of a Patient-Centered Mobile Health Tracking App Among a Sample of Adult Radiation Oncology Patients. Advances in Nursing Science 2018;41(3):243
    CrossRef
  237. Desveaux L, Shaw J, Saragosa M, Soobiah C, Marani H, Hensel J, Agarwal P, Onabajo N, Bhatia RS, Jeffs L. A Mobile App to Improve Self-Management of Individuals With Type 2 Diabetes: Qualitative Realist Evaluation. Journal of Medical Internet Research 2018;20(3):e81
    CrossRef
  238. Schueller SM, Neary M, O'Loughlin K, Adkins EC. Discovery of and Interest in Health Apps Among Those With Mental Health Needs: Survey and Focus Group Study. Journal of Medical Internet Research 2018;20(6):e10141
    CrossRef
  239. Ladd DL, Hurst EJ. Consumer Health Information Provision: A Workshop for Librarians. Journal of Consumer Health on the Internet 2018;22(3):217
    CrossRef
  240. Poowuttikul P, Seth D. New Concepts and Technological Resources in Patient Education and Asthma Self-Management. Clinical Reviews in Allergy & Immunology 2020;59(1):19
    CrossRef
  241. Lordon RJ, Mikles SP, Kneale L, Evans HL, Munson SA, Backonja U, Lober WB. How patient-generated health data and patient-reported outcomes affect patient–clinician relationships: A systematic review. Health Informatics Journal 2020;26(4):2689
    CrossRef
  242. Huffman JC, Smith DM, Ibrahim NE, Duque L, Moskowitz JT, Celano CM. Using mHealth interventions to promote cardiovascular health. Acta Cardiologica 2019;74(4):283
    CrossRef
  243. Muroff J, Robinson W, Chassler D, López LM, Gaitan E, Lundgren L, Guauque C, Dargon-Hart S, Stewart E, Dejesus D, Johnson K, Pe-Romashko K, Gustafson DH. Use of a Smartphone Recovery Tool for Latinos with Co-Occurring Alcohol and Other Drug Disorders and Mental Disorders. Journal of Dual Diagnosis 2017;13(4):280
    CrossRef
  244. Chen J, Gemming L, Hanning R, Allman-Farinelli M. Smartphone apps and the nutrition care process: Current perspectives and future considerations. Patient Education and Counseling 2018;101(4):750
    CrossRef
  245. Herbeć A, Perski O, Shahab L, West R. Smokers’ Views on Personal Carbon Monoxide Monitors, Associated Apps, and Their Use: An Interview and Think-Aloud Study. International Journal of Environmental Research and Public Health 2018;15(2):288
    CrossRef
  246. Vaghefi I, Tulu B. The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study. JMIR mHealth and uHealth 2019;7(8):e12983
    CrossRef
  247. Mayer MA, Rodríguez Blanco O, Torrejon A. Use of Health Apps by Nurses for Professional Purposes: Web-Based Survey Study. JMIR mHealth and uHealth 2019;7(11):e15195
    CrossRef
  248. Bliss DZ, Gurvich OV, Patel S, Meyer I, Richter HE. Self-management of accidental bowel leakage and interest in a supportive m-Health app among women. International Urogynecology Journal 2020;31(6):1133
    CrossRef
  249. . Mindfulness-based interventions for addictions among diverse and underserved populations. Current Opinion in Psychology 2019;30:11
    CrossRef
  250. Templeton JM, Poellabauer C, Schneider S. Enhancement of Neurocognitive Assessments Using Smartphone Capabilities: Systematic Review. JMIR mHealth and uHealth 2020;8(6):e15517
    CrossRef
  251. Boyle L, Grainger R, Hall RM, Krebs JD. Use of and Beliefs About Mobile Phone Apps for Diabetes Self-Management: Surveys of People in a Hospital Diabetes Clinic and Diabetes Health Professionals in New Zealand. JMIR mHealth and uHealth 2017;5(6):e85
    CrossRef
  252. Ernsting C, Stühmann LM, Dombrowski SU, Voigt-Antons J, Kuhlmey A, Gellert P. Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey. JMIR mHealth and uHealth 2019;7(3):e12179
    CrossRef
  253. Shen L, Wang S, Chen W, Fu Q, Evans R, Lan F, Li W, Xu J, Zhang Z. Understanding the Function Constitution and Influence Factors on Communication for the WeChat Official Account of Top Tertiary Hospitals in China: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(12):e13025
    CrossRef
  254. Legler S, Celano CM, Beale EE, Hoeppner BB, Huffman JC. Use of text messages to increase positive affect and promote physical activity in patients with heart disease. Current Psychology 2020;39(2):648
    CrossRef
  255. Levine DM, Co Z, Newmark LP, Groisser AR, Holmgren AJ, Haas JS, Bates DW. Design and testing of a mobile health application rating tool. npj Digital Medicine 2020;3(1)
    CrossRef
  256. Gan SK, Koshy C, Nguyen P, Haw Y. An overview of clinically and healthcare related apps in Google and Apple app stores: connecting patients, drugs, and clinicians. Scientific Phone Apps and Mobile Devices 2016;2(1)
    CrossRef
  257. Rasche P, Wille M, Bröhl C, Theis S, Schäfer K, Knobe M, Mertens A. Prevalence of Health App Use Among Older Adults in Germany: National Survey. JMIR mHealth and uHealth 2018;6(1):e26
    CrossRef
  258. Byun H, Chiu W, Bae J. Exploring the Adoption of Sports Brand Apps. International Journal of Asian Business and Information Management 2018;9(1):52
    CrossRef
  259. Oh YS, Choi EY, Kim YS. Predictors of Smartphone Uses for Health Information Seeking in the Korean Elderly. Social Work in Public Health 2018;33(1):43
    CrossRef
  260. Smahel D, Elavsky S, Machackova H. Functions of mHealth applications: A user’s perspective. Health Informatics Journal 2019;25(3):1065
    CrossRef
  261. Schramm K, Grassl N, Nees J, Hoffmann J, Stepan H, Bruckner T, Haun MW, Maatouk I, Haist M, Schott TC, Sohn C, Schott S. Women’s Attitudes Toward Self-Monitoring of Their Pregnancy Using Noninvasive Electronic Devices: Cross-Sectional Multicenter Study. JMIR mHealth and uHealth 2019;7(1):e11458
    CrossRef
  262. Garrison KA, Pal P, O’Malley SS, Pittman BP, Gueorguieva R, Rojiani R, Scheinost D, Dallery J, Brewer JA. Craving to Quit: A Randomized Controlled Trial of Smartphone App–Based Mindfulness Training for Smoking Cessation. Nicotine & Tobacco Research 2020;22(3):324
    CrossRef
  263. den Braber N, Vollenbroek-Hutten M, Oosterwijk M, Gant C, Hagedoorn I, van Beijnum B, Hermens H, Laverman G. Requirements of an Application to Monitor Diet, Physical Activity and Glucose Values in Patients with Type 2 Diabetes: The Diameter. Nutrients 2019;11(2):409
    CrossRef
  264. Deshpande AK, Shimunova T. A Comprehensive Evaluation of Tinnitus Apps. American Journal of Audiology 2019;28(3):605
    CrossRef
  265. Ubhi HK, Kotz D, Michie S, van Schayck OC, Sheard D, Selladurai A, West R. Comparative analysis of smoking cessation smartphone applications available in 2012 versus 2014. Addictive Behaviors 2016;58:175
    CrossRef
  266. . How does IT identity affect individuals’ use behaviors associated with personal health devices (PHDs)? An empirical study. Information & Management 2021;58(1):103313
    CrossRef
  267. Levine DM, Lipsitz SR, Linder JA, Newman A. Changes in Everyday and Digital Health Technology Use Among Seniors in Declining Health. The Journals of Gerontology: Series A 2018;73(4):552
    CrossRef
  268. Schueller SM, Hunter JF, Figueroa C, Aguilera A. Use of Digital Mental Health for Marginalized and Underserved Populations. Current Treatment Options in Psychiatry 2019;6(3):243
    CrossRef
  269. Radhakrishnan K, Baranowski T, O'Hair M, Fournier CA, Spranger CB, Kim MT. Personalizing Sensor-Controlled Digital Gaming to Self-Management Needs of Older Adults with Heart Failure: A Qualitative Study. Games for Health Journal 2020;9(4):304
    CrossRef
  270. Nakamura Y, Matsuda Y, Arakawa Y, Yasumoto K. WaistonBelt X:A Belt-Type Wearable Device with Sensing and Intervention Toward Health Behavior Change. Sensors 2019;19(20):4600
    CrossRef
  271. Alwashmi MF, Fitzpatrick B, Farrell J, Gamble J, Davis E, Nguyen HV, Farrell G, Hawboldt J. Perceptions of Patients Regarding Mobile Health Interventions for the Management of Chronic Obstructive Pulmonary Disease: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(7):e17409
    CrossRef
  272. Anýž J, Bakštein E, Dudysová D, Veldová K, Kliková M, Fárková E, Kopřivová J, Španiel F. No wink of sleep: Population sleep characteristics in response to the brexit poll and the 2016 U.S. presidential election. Social Science & Medicine 2019;222:112
    CrossRef
  273. Zhang Y, Li X, Luo S, Liu C, Xie Y, Guo J, Liu F, Zhou Z. Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey. JMIR mHealth and uHealth 2019;7(2):e12658
    CrossRef
  274. Rafiullah M, David SK. Health apps usage and preferences among Saudi patients with diabetes: A survey. International Journal of Clinical Practice 2019;73(5):e13345
    CrossRef
  275. . What Can Big Data Offer the Pharmacovigilance of Orphan Drugs?. Clinical Therapeutics 2016;38(12):2533
    CrossRef
  276. Juhra C, Ansorg J, Back DA, John D, Kuckuck-Winkelmann A, Raschke M, Osterhoff G, Pförringer D, Scherer J. Online Patient Consultation. Zeitschrift für Orthopädie und Unfallchirurgie 2020;158(04):345
    CrossRef
  277. Petersen JM, Kemps E, Lewis LK, Prichard I. Associations Between Commercial App Use and Physical Activity: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(6):e17152
    CrossRef
  278. Huberty J, Vranceanu A, Carney C, Breus M, Gordon M, Puzia ME. Characteristics and Usage Patterns Among 12,151 Paid Subscribers of the Calm Meditation App: Cross-Sectional Survey. JMIR mHealth and uHealth 2019;7(11):e15648
    CrossRef
  279. Samoggia A, Riedel B. Assessment of nutrition-focused mobile apps' influence on consumers' healthy food behaviour and nutrition knowledge. Food Research International 2020;128:108766
    CrossRef
  280. Vu M, Nguyen V, Vishwanath S, Wolfe C, Patel S. Know Your Numbers: Creation and implementation of a novel community health mobile application (app) by student pharmacists. Journal of the American Pharmacists Association 2018;58(2):191
    CrossRef
  281. Jake-Schoffman DE, Silfee VJ, Waring ME, Boudreaux ED, Sadasivam RS, Mullen SP, Carey JL, Hayes RB, Ding EY, Bennett GG, Pagoto SL. Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps. JMIR mHealth and uHealth 2017;5(12):e190
    CrossRef
  282. . A Comprehensive Profile of Those Who Have Health-Related Apps. Health Education & Behavior 2018;45(4):591
    CrossRef
  283. Harder H, Holroyd P, Burkinshaw L, Watten P, Zammit C, Harris PR, Good A, Jenkins V. A user-centred approach to developing bWell, a mobile app for arm and shoulder exercises after breast cancer treatment. Journal of Cancer Survivorship 2017;11(6):732
    CrossRef
  284. Wilde LJ, Ward G, Sewell L, Müller AM, Wark PA. Apps and wearables for monitoring physical activity and sedentary behaviour: A qualitative systematic review protocol on barriers and facilitators. DIGITAL HEALTH 2018;4:205520761877645
    CrossRef
  285. Hernández-Reyes A, Molina-Recio G, Molina-Luque R, Romero-Saldaña M, Cámara-Martos F, Moreno-Rojas R. Effectiveness of PUSH notifications from a mobile app for improving the body composition of overweight or obese women: a protocol of a three-armed randomized controlled trial. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  286. Su J, Dugas M, Guo X, Gao G. Influence of Personality on mHealth Use in Patients with Diabetes: Prospective Pilot Study. JMIR mHealth and uHealth 2020;8(8):e17709
    CrossRef
  287. Li P, Luo Y, Yu X, Wen J, Mason E, Li W, Jalali MS. Patients’ Perceptions of Barriers and Facilitators to the Adoption of E-Hospitals: Cross-Sectional Study in Western China. Journal of Medical Internet Research 2020;22(6):e17221
    CrossRef
  288. Bell K, Warnick E, Nicholson K, Ulcoq S, Kim SJ, Schroeder GD, Vaccaro A. Patient Adoption and Utilization of a Web-Based and Mobile-Based Portal for Collecting Outcomes After Elective Orthopedic Surgery. American Journal of Medical Quality 2018;33(6):649
    CrossRef
  289. Abedtash H, Holden RJ. Systematic review of the effectiveness of health-related behavioral interventions using portable activity sensing devices (PASDs). Journal of the American Medical Informatics Association 2017;24(5):1002
    CrossRef
  290. Kwan BM, Bryan AD, Sheeran P. The dynamics of success and failure: how post-behaviour evaluations relate to subsequent exercise intentions and behaviour. Psychology & Health 2018;33(7):888
    CrossRef
  291. Naughton F, Hopewell S, Lathia N, Schalbroeck R, Brown C, Mascolo C, McEwen A, Sutton S. A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR mHealth and uHealth 2016;4(3):e106
    CrossRef
  292. Wijekoon A, Wiratunga N, Sani S, Cooper K. A knowledge-light approach to personalised and open-ended human activity recognition. Knowledge-Based Systems 2020;192:105651
    CrossRef
  293. Lynch C, Bird S, Lythgo N, Selva-Raj I. Changing the Physical Activity Behavior of Adults With Fitness Trackers: A Systematic Review and Meta-Analysis. American Journal of Health Promotion 2020;34(4):418
    CrossRef
  294. DÖNER GÜNER P, BÖLÜKBAŞI H, KOKAÇYA SH, YENGİL E, ÖZER C. Mustafa Kemal University Students' Use of Mobile Health Applications. Konuralp Tıp Dergisi 2018;10(3):264
    CrossRef
  295. Liu K, Xie Z, Or CK. Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2020;8(8):e15779
    CrossRef
  296. Okumus B, Ali F, Bilgihan A, Ozturk AB. Psychological factors influencing customers’ acceptance of smartphone diet apps when ordering food at restaurants. International Journal of Hospitality Management 2018;72:67
    CrossRef
  297. Øksnebjerg L, Woods B, Ruth K, Lauridsen A, Kristiansen S, Holst HD, Waldemar G. A Tablet App Supporting Self-Management for People With Dementia: Explorative Study of Adoption and Use Patterns. JMIR mHealth and uHealth 2020;8(1):e14694
    CrossRef
  298. Gabbiadini A, Greitemeyer T. Fitness mobile apps positively affect attitudes, perceived behavioral control and physical activities. The Journal of Sports Medicine and Physical Fitness 2019;59(3)
    CrossRef
  299. Mueller EL, Cochrane AR, Bennett WE, Carroll AE. A survey of mobile technology usage and desires by caregivers of children with cancer. Pediatric Blood & Cancer 2018;65(11)
    CrossRef
  300. Heffner JL, Mull KE. Smartphone Ownership Among US Adult Cigarette Smokers: 2014 Health Information National Trends Survey (HINTS) Data. Journal of Medical Internet Research 2017;19(8):e305
    CrossRef
  301. Dalton JA, Rodger D, Wilmore M, Humphreys S, Skuse A, Roberts CT, Clifton VL, Beiki O. The Health-e Babies App for antenatal education: Feasibility for socially disadvantaged women. PLOS ONE 2018;13(5):e0194337
    CrossRef
  302. Zhang Y, Li X, Luo S, Liu C, Liu F, Zhou Z. Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study. JMIR mHealth and uHealth 2018;6(9):e11400
    CrossRef
  303. Floch J, Zettl A, Fricke L, Weisser T, Grut L, Vilarinho T, Stav E, Ascolese A, Schauber C. User Needs in the Development of a Health App Ecosystem for Self-Management of Cystic Fibrosis: User-Centered Development Approach. JMIR mHealth and uHealth 2018;6(5):e113
    CrossRef
  304. Welton JM, Walker C, Riney K, Ng A, Todd L, D'Souza WJ. Quality of life and its association with comorbidities and adverse events from antiepileptic medications: Online survey of patients with epilepsy in Australia. Epilepsy & Behavior 2020;104:106856
    CrossRef
  305. . Exploring Family Nurse Practitioners' Practices in Recommending mHealth Apps to Patients. CIN: Computers, Informatics, Nursing 2020;38(2):71
    CrossRef
  306. Hui CY, Walton R, McKinstry B, Jackson T, Parker R, Pinnock H. The use of mobile applications to support self-management for people with asthma: a systematic review of controlled studies to identify features associated with clinical effectiveness and adherence. Journal of the American Medical Informatics Association 2017;24(3):619
    CrossRef
  307. Lyzwinski LN, Edirippulige S, Caffery L, Bambling M. Mindful Eating Mobile Health Apps: Review and Appraisal. JMIR Mental Health 2019;6(8):e12820
    CrossRef
  308. Hsia B, Mowrey W, Keskin T, Wu S, Aita R, Kwak L, Ferastraoarou D, Rosenstreich D, Jariwala SP. Developing and pilot testing ASTHMAXcel, a mobile app for adults with asthma. Journal of Asthma 2021;58(6):834
    CrossRef
  309. Kim E, Torous J, Horng S, Grossestreuer AV, Rodriguez J, Lee T, Nathanson LA. Mobile device ownership among emergency department patients. International Journal of Medical Informatics 2019;126:114
    CrossRef
  310. Qiu C, Mutka MW. Walk and learn: Enabling accurate indoor positioning by profiling outdoor movement on smartphones. Pervasive and Mobile Computing 2018;48:84
    CrossRef
  311. Kabir MF, Schulman D, Abdullah AS. Promoting Relational Agent for Health Behavior Change in Low and Middle - Income Countries (LMICs): Issues and Approaches. Journal of Medical Systems 2019;43(7)
    CrossRef
  312. Marrie RA, Leung S, Tyry T, Cutter GR, Fox R, Salter A. Use of eHealth and mHealth technology by persons with multiple sclerosis. Multiple Sclerosis and Related Disorders 2019;27:13
    CrossRef
  313. Li J, Liu X, Ma L, Zhang W. Users’ intention to continue using social fitness-tracking apps: expectation confirmation theory and social comparison theory perspective. Informatics for Health and Social Care 2019;44(3):298
    CrossRef
  314. Shan R, Ding J, Plante TB, Martin SS. Mobile Health Access and Use Among Individuals With or At Risk for Cardiovascular Disease: 2018 Health Information National Trends Survey (HINTS). Journal of the American Heart Association 2019;8(24)
    CrossRef
  315. Mizdrak A, Telfer K, Direito A, Cobiac LJ, Blakely T, Cleghorn CL, Wilson N. Health Gain, Cost Impacts, and Cost-Effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Physical Activity: Modeling Study. JMIR mHealth and uHealth 2020;8(6):e18014
    CrossRef
  316. Smail-Crevier R, Powers G, Noel C, Wang J. Health-Related Internet Usage and Design Feature Preference for E-Mental Health Programs Among Men and Women. Journal of Medical Internet Research 2019;21(3):e11224
    CrossRef
  317. Marques G, Miranda N, Kumar Bhoi A, Garcia-Zapirain B, Hamrioui S, de la Torre Díez I. Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies. Sensors 2020;20(3):720
    CrossRef
  318. Lipschitz J, Miller CJ, Hogan TP, Burdick KE, Lippin-Foster R, Simon SR, Burgess J. Adoption of Mobile Apps for Depression and Anxiety: Cross-Sectional Survey Study on Patient Interest and Barriers to Engagement. JMIR Mental Health 2019;6(1):e11334
    CrossRef
  319. Byambasuren O, Beller E, Hoffmann T, Glasziou P. Barriers to and Facilitators of the Prescription of mHealth Apps in Australian General Practice: Qualitative Study. JMIR mHealth and uHealth 2020;8(7):e17447
    CrossRef
  320. Robillard JM, Feng TL, Sporn AB, Lai J, Lo C, Ta M, Nadler R. Availability, readability, and content of privacy policies and terms of agreements of mental health apps. Internet Interventions 2019;17:100243
    CrossRef
  321. Mollard E, Michaud K. Mobile Apps for Rheumatoid Arthritis. Rheumatic Disease Clinics of North America 2019;45(2):197
    CrossRef
  322. Karduck J, Chapman-Novakofski K. Results of the Clinician Apps Survey, How Clinicians Working With Patients With Diabetes and Obesity Use Mobile Health Apps. Journal of Nutrition Education and Behavior 2018;50(1):62
    CrossRef
  323. Torous J, Lipschitz J, Ng M, Firth J. Dropout rates in clinical trials of smartphone apps for depressive symptoms: A systematic review and meta-analysis. Journal of Affective Disorders 2020;263:413
    CrossRef
  324. Aeberhard A, Gschwind L, Kossowsky J, Luksys G, Papassotiropoulos A, de Quervain D, Vogler C. Introducing COSMOS: a Web Platform for Multimodal Game-Based Psychological Assessment Geared Towards Open Science Practice. Journal of Technology in Behavioral Science 2019;4(3):234
    CrossRef
  325. Patel B, Thind A. Usability of Mobile Health Apps for Postoperative Care: Systematic Review. JMIR Perioperative Medicine 2020;3(2):e19099
    CrossRef
  326. Streeper NM, Lehman K, Conroy DE. Acceptability of Mobile Health Technology for Promoting Fluid Consumption in Patients With Nephrolithiasis. Urology 2018;122:64
    CrossRef
  327. Shemesh T, Barnoy S. Assessment of the Intention to Use Mobile Health Applications Using a Technology Acceptance Model in an Israeli Adult Population. Telemedicine and e-Health 2020;26(9):1141
    CrossRef
  328. Plateau CR, Bone S, Lanning E, Meyer C. Monitoring eating and activity: Links with disordered eating, compulsive exercise, and general wellbeing among young adults. International Journal of Eating Disorders 2018;51(11):1270
    CrossRef
  329. Feng W, Tu R, Hsieh P. Can gamification increases consumers’ engagement in fitness apps? The moderating role of commensurability of the game elements. Journal of Retailing and Consumer Services 2020;57:102229
    CrossRef
  330. Birkhoff SD, Smeltzer SC. Perceptions of Smartphone User‐Centered Mobile Health Tracking Apps Across Various Chronic Illness Populations: An Integrative Review. Journal of Nursing Scholarship 2017;49(4):371
    CrossRef
  331. TİMURTAŞ E, POLAT MG. Usability of Mobile Health Application for Individuals with Type 2 Diabetes Mellitus and Clinicians. Clinical and Experimental Health Sciences 2020;10(1):54
    CrossRef
  332. Simons D, De Bourdeaudhuij I, Clarys P, De Cocker K, Vandelanotte C, Deforche B. A Smartphone App to Promote an Active Lifestyle in Lower-Educated Working Young Adults: Development, Usability, Acceptability, and Feasibility Study. JMIR mHealth and uHealth 2018;6(2):e44
    CrossRef
  333. Turner-McGrievy GM, Hales SB, Schoffman DE, Valafar H, Brazendale K, Weaver RG, Beets MW, Wirth MD, Shivappa N, Mandes T, Hébert JR, Wilcox S, Hester A, McGrievy MJ. Choosing between responsive-design websites versus mobile apps for your mobile behavioral intervention: presenting four case studies. Translational Behavioral Medicine 2017;7(2):224
    CrossRef
  334. Cho SJ, Tian Y. Investigating the role of communication between descriptive norms and exercise intentions and behaviors: findings among fitness tracker users. Journal of American College Health 2021;69(4):452
    CrossRef
  335. Lim J, Lim C, Ibrahim I, Syahrul J, Mohamed Zabil MH, Zakaria NF, Daud ZAM. Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: Quantitative Content Analysis Study. JMIR mHealth and uHealth 2020;8(6):e13808
    CrossRef
  336. Sun L, Wang Y, Greene B, Xiao Q, Jiao C, Ji M, Wu Y. Facilitators and barriers to using physical activity smartphone apps among Chinese patients with chronic diseases. BMC Medical Informatics and Decision Making 2017;17(1)
    CrossRef
  337. Torous J, Firth J, Huckvale K, Larsen ME, Cosco TD, Carney R, Chan S, Pratap A, Yellowlees P, Wykes T, Keshavan M, Christensen H. The Emerging Imperative for a Consensus Approach Toward the Rating and Clinical Recommendation of Mental Health Apps. Journal of Nervous & Mental Disease 2018;206(8):662
    CrossRef
  338. Stephenson A, Garcia-Constantino M, McDonough SM, Murphy MH, Nugent CD, Mair JL. Iterative four-phase development of a theory-based digital behaviour change intervention to reduce occupational sedentary behaviour. DIGITAL HEALTH 2020;6:205520762091341
    CrossRef
  339. Gulliver A, Banfield M, Morse AR, Reynolds J, Miller S, Galati C. A Peer-Led Electronic Mental Health Recovery App in a Community-Based Public Mental Health Service: Pilot Trial. JMIR Formative Research 2019;3(2):e12550
    CrossRef
  340. Lau N, O'Daffer A, Colt S, Yi-Frazier JP, Palermo TM, McCauley E, Rosenberg AR. Android and iPhone Mobile Apps for Psychosocial Wellness and Stress Management: Systematic Search in App Stores and Literature Review. JMIR mHealth and uHealth 2020;8(5):e17798
    CrossRef
  341. Wong CA, Madanay F, Ozer EM, Harris SK, Moore M, Master SO, Moreno M, Weitzman ER. Digital Health Technology to Enhance Adolescent and Young Adult Clinical Preventive Services: Affordances and Challenges. Journal of Adolescent Health 2020;67(2):S24
    CrossRef
  342. Teo CH, Ling CJ, Ng CJ. Improving Health Screening Uptake in Men: A Systematic Review and Meta-analysis. American Journal of Preventive Medicine 2018;54(1):133
    CrossRef
  343. Buscemi J, Janke EA, Kugler KC, Duffecy J, Mielenz TJ, St. George SM, Sheinfeld Gorin SN. Increasing the public health impact of evidence-based interventions in behavioral medicine: new approaches and future directions. Journal of Behavioral Medicine 2017;40(1):203
    CrossRef
  344. Ali J, Labrique AB, Gionfriddo K, Pariyo G, Gibson DG, Pratt B, Deutsch-Feldman M, Hyder AA. Ethics Considerations in Global Mobile Phone-Based Surveys of Noncommunicable Diseases: A Conceptual Exploration. Journal of Medical Internet Research 2017;19(5):e110
    CrossRef
  345. Fleming TM, de Beurs D, Khazaal Y, Gaggioli A, Riva G, Botella C, Baños RM, Aschieri F, Bavin LM, Kleiboer A, Merry S, Lau HM, Riper H. Maximizing the Impact of e-Therapy and Serious Gaming: Time for a Paradigm Shift. Frontiers in Psychiatry 2016;7
    CrossRef
  346. Coa KI, Wiseman KP, Higgins B, Augustson E. Associations Between Engagement and Outcomes in the SmokefreeTXT Program: A Growth Mixture Modeling Analysis. Nicotine & Tobacco Research 2019;21(5):663
    CrossRef
  347. Garnett C, Crane D, West R, Brown J, Michie S. The development of Drink Less: an alcohol reduction smartphone app for excessive drinkers. Translational Behavioral Medicine 2019;9(2):296
    CrossRef
  348. Robertson MC, Lyons EJ, Liao Y, Baum ML, Basen-Engquist KM. Gamified Text Messaging Contingent on Device-Measured Steps: A Randomized Feasibility Study of a Physical Activity Intervention for Cancer Survivors (Preprint). JMIR mHealth and uHealth 2020;
    CrossRef
  349. Tatara N, Kjøllesdal MKR, Mirkovic J, Andreassen HK. eHealth Use Among First-Generation Immigrants From Pakistan in the Oslo Area, Norway, With Focus on Diabetes: Survey Protocol. JMIR Research Protocols 2016;5(2):e79
    CrossRef
  350. Gordon JS, Armin J, D. Hingle M, Giacobbi P, Cunningham JK, Johnson T, Abbate K, Howe CL, Roe DJ. Development and evaluation of the See Me Smoke-Free multi-behavioral mHealth app for women smokers. Translational Behavioral Medicine 2017;7(2):172
    CrossRef
  351. Hommel KA, Carmody J, Hershey AD, Holbein C, Kabbouche‐Samaha M, Peugh J, Powers S. Digital Therapeutic Self‐Management Intervention in Adolescents With Migraine: Feasibility and Preliminary Efficacy of “Migraine Manager”. Headache: The Journal of Head and Face Pain 2020;60(6):1103
    CrossRef
  352. Huang C, Chen C, Liu Y. To stay or not to stay? Discontinuance intention of gamification apps. Information Technology & People 2019;32(6):1423
    CrossRef
  353. Giacobbi P, Cushing P, Popa A, Haggerty T, Hansell A, Sedney C. Mobile Health (mHealth) Use or Non-Use by Residents of West Virginia. Southern Medical Journal 2018;111(10):625
    CrossRef
  354. Müssener U, Thomas K, Linderoth C, Löf M, Åsberg K, Henriksson P, Bendtsen M. Development of an Intervention Targeting Multiple Health Behaviors Among High School Students: Participatory Design Study Using Heuristic Evaluation and Usability Testing. JMIR mHealth and uHealth 2020;8(10):e17999
    CrossRef
  355. Walker LO, Becker H, Andrews EE, Phillips CS. Adapting a health behavioral change and psychosocial toolkit to the context of physical disabilities: Lessons learned from disabled women with young children. Disability and Health Journal 2021;14(1):100977
    CrossRef
  356. S. Bhuyan S, Kim H, Isehunwa OO, Kumar N, Bhatt J, Wyant DK, Kedia S, Chang CF, Dasgupta D. Privacy and security issues in mobile health: Current research and future directions. Health Policy and Technology 2017;6(2):188
    CrossRef
  357. Trawley S, Baptista S, Browne JL, Pouwer F, Speight J. The Use of Mobile Applications Among Adults with Type 1 and Type 2 Diabetes: Results from the Second MILES—Australia (MILES-2) Study. Diabetes Technology & Therapeutics 2017;19(12):730
    CrossRef
  358. Samuel CA, Smith AB, Elkins W, Richmond J, Mahbooba Z, Basch E, Bennett AV, Chung AE, Jonsson M, Chen RC, Reeve BB. Racial differences in user experiences and perceived value of electronic symptom monitoring in a cohort of black and white bladder and prostate cancer patients. Quality of Life Research 2021;30(11):3213
    CrossRef
  359. Hendrie GA, James-Martin G, Williams G, Brindal E, Whyte B, Crook A. The Development of VegEze: Smartphone App to Increase Vegetable Consumption in Australian Adults. JMIR Formative Research 2019;3(1):e10731
    CrossRef
  360. Teo CH, Ng CJ, White A, Choo KR. What Do Men Want from a Health Screening Mobile App? A Qualitative Study. PLOS ONE 2017;12(1):e0169435
    CrossRef
  361. Zhou L, Bao J, Watzlaf V, Parmanto B. Barriers to and Facilitators of the Use of Mobile Health Apps From a Security Perspective: Mixed-Methods Study. JMIR mHealth and uHealth 2019;7(4):e11223
    CrossRef
  362. Bunnell BE, Nemeth LS, Lenert LA, Kazantzis N, Deblinger E, Higgins KA, Ruggiero KJ. Barriers Associated with the Implementation of Homework in Youth Mental Health Treatment and Potential Mobile Health Solutions. Cognitive Therapy and Research 2021;45(2):272
    CrossRef
  363. . A long adolescence: when will medical apps come of age?. Journal of Comparative Effectiveness Research 2016;5(5):433
    CrossRef
  364. Kuwabara A, Su S, Krauss J. Utilizing Digital Health Technologies for Patient Education in Lifestyle Medicine. American Journal of Lifestyle Medicine 2020;14(2):137
    CrossRef
  365. Wu DTY, Chen AT, Manning JD, Levy-Fix G, Backonja U, Borland D, Caban JJ, Dowding DW, Hochheiser H, Kagan V, Kandaswamy S, Kumar M, Nunez A, Pan E, Gotz D. Evaluating visual analytics for health informatics applications: a systematic review from the American Medical Informatics Association Visual Analytics Working Group Task Force on Evaluation. Journal of the American Medical Informatics Association 2019;26(4):314
    CrossRef
  366. Shen C, Wang MP, Chu JT, Wan A, Viswanath K, Chan SSC, Lam TH. Health App Possession Among Smartphone or Tablet Owners in Hong Kong: Population-Based Survey. JMIR mHealth and uHealth 2017;5(6):e77
    CrossRef
  367. Muvuka B, Combs RM, Ayangeakaa SD, Ali NM, Wendel ML, Jackson T. Health Literacy in African-American Communities: Barriers and Strategies. HLRP: Health Literacy Research and Practice 2020;4(3)
    CrossRef
  368. Dittrich F, Back DA, Harren AK, Jäger M, Landgraeber S, Reinecke F, Beck S. A Possible Mobile Health Solution in Orthopedics and Trauma Surgery: Development Protocol and User Evaluation of the Ankle Joint App. JMIR mHealth and uHealth 2020;8(2):e16403
    CrossRef
  369. Liu C, Gao G, Agarwal R. Unraveling the “Social” in Social Norms: The Conditioning Effect of User Connectivity. Information Systems Research 2019;30(4):1272
    CrossRef
  370. Athilingam P, Jenkins B, Redding BA. Reading Level and Suitability of Congestive Heart Failure (CHF) Education in a Mobile App (CHF Info App): Descriptive Design Study. JMIR Aging 2019;2(1):e12134
    CrossRef
  371. Chan KL, Chen M. Effects of Social Media and Mobile Health Apps on Pregnancy Care: Meta-Analysis. JMIR mHealth and uHealth 2019;7(1):e11836
    CrossRef
  372. Fisher CB, Bragard E, Bloom R. Ethical Considerations in HIV eHealth Intervention Research: Implications for Informational Risk in Recruitment, Data Maintenance, and Consent Procedures. Current HIV/AIDS Reports 2020;17(3):180
    CrossRef
  373. Crane TE, Skiba MB, Miller A, Garcia DO, Thomson CA. Development and Evaluation of an Accelerometer-Based Protocol for Measuring Physical Activity Levels in Cancer Survivors: Development and Usability Study. JMIR mHealth and uHealth 2020;8(9):e18491
    CrossRef
  374. Goheer A, Holzhauer K, Martinez J, Woolf T, Coughlin JW, Martin L, Zhao D, Lehmann H, Clark JM, Bennett WL. What influences the “when” of eating and sleeping?A qualitative interview study. Appetite 2021;156:104980
    CrossRef
  375. Böhm A, Jensen ML, Sørensen MR, Stargardt T. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study. JMIR mHealth and uHealth 2020;8(11):e22212
    CrossRef
  376. Robinson A, Husband AK, Slight RD, Slight SP. Digital technology to support lifestyle and health behaviour changes in surgical patients: systematic review. BJS Open 2021;5(2)
    CrossRef
  377. Rismawan W, Marchira CR, Rahmat I. Usability, Acceptability, and Adherence Rates of Mobile Application Interventions for Prevention or Treatment of Depression: A Systematic Review. Journal of Psychosocial Nursing and Mental Health Services 2021;59(2):41
    CrossRef
  378. Affret A, Luc A, Baumann C, Bergman P, Le Faou A, Pasquereau A, Arwidson P, Alla F, Cambon L. Effectiveness of the e-Tabac Info Service application for smoking cessation: a pragmatic randomised controlled trial. BMJ Open 2020;10(10):e039515
    CrossRef
  379. Wei Y, Zheng P, Deng H, Wang X, Li X, Fu H. Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis. Journal of Medical Internet Research 2020;22(12):e21687
    CrossRef
  380. Hitti E, Hadid D, Melki J, Kaddoura R, Alameddine M. Mobile device use among emergency department healthcare professionals: prevalence, utilization and attitudes. Scientific Reports 2021;11(1)
    CrossRef
  381. Portenhauser AA, Terhorst Y, Schultchen D, Sander LB, Denkinger MD, Stach M, Waldherr N, Dallmeier D, Baumeister H, Messner E. Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores. JMIR Aging 2021;4(1):e23313
    CrossRef
  382. Lowe C, Hanuman Sing H, Browne M, Alwashmi MF, Marsh W, Morrissey D. Usability Testing of a Digital Assessment Routing Tool: Protocol for an Iterative Convergent Mixed Methods Study. JMIR Research Protocols 2021;10(5):e27205
    CrossRef
  383. Rosenberg AR, Steiner J, Lau N, Fladeboe K, Toprak D, Gmuca S, O'Donnell MB, Smith K, Brown CE, Yi-Frazier JP. From Theory to Patient Care: A Model for the Development, Adaptation, and Testing of Psychosocial Interventions for Patients With Serious Illness. Journal of Pain and Symptom Management 2021;62(3):637
    CrossRef
  384. Lokker C, Jezrawi R, Gabizon I, Varughese J, Brown M, Trottier D, Alvarez E, Schwalm J, McGillion M, Ma J, Bhagirath V. Feasibility of a Web-Based Platform (Trial My App) to Efficiently Conduct Randomized Controlled Trials of mHealth Apps For Patients With Cardiovascular Risk Factors: Protocol For Evaluating an mHealth App for Hypertension. JMIR Research Protocols 2021;10(2):e26155
    CrossRef
  385. Makowsky MJ, Jones CA, Davachi S. Prevalence and Predictors of Health-Related Internet and Digital Device Use in a Sample of South Asian Adults in Edmonton, Alberta, Canada: Results From a 2014 Community-Based Survey. JMIR Public Health and Surveillance 2021;7(1):e20671
    CrossRef
  386. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357
    CrossRef
  387. Prochaska JJ, Vogel EA, Chieng A, Kendra M, Baiocchi M, Pajarito S, Robinson A. A Therapeutic Relational Agent for Reducing Problematic Substance Use (Woebot): Development and Usability Study. Journal of Medical Internet Research 2021;23(3):e24850
    CrossRef
  388. Joo E, Kononova A, Kanthawala S, Peng W, Cotten S. Smartphone Users’ Persuasion Knowledge in the Context of Consumer mHealth Apps: Qualitative Study. JMIR mHealth and uHealth 2021;9(4):e16518
    CrossRef
  389. Barnett I, Torous J, Reeder HT, Baker J, Onnela J. Determining sample size and length of follow-up for smartphone-based digital phenotyping studies. Journal of the American Medical Informatics Association 2020;27(12):1844
    CrossRef
  390. Biondi A, Laiou P, Bruno E, Viana PF, Schreuder M, Hart W, Nurse E, Pal DK, Richardson MP. Remote and Long-Term Self-Monitoring of Electroencephalographic and Noninvasive Measurable Variables at Home in Patients With Epilepsy (EEG@HOME): Protocol for an Observational Study. JMIR Research Protocols 2021;10(3):e25309
    CrossRef
  391. Alhamam NM, Buhalim RA, Almakhayitah IH, AlBahr AW, AlYaeesh IA. Telemedicine for Musculoskeletal Care During the COVID-19 Pandemic: Evaluating Readiness of Saudi Citizens. Cureus 2021;
    CrossRef
  392. Gustafson Sr DH, Mares M, Johnston DC, Mahoney JE, Brown RT, Landucci G, Pe-Romashko K, Cody OJ, Gustafson Jr DH, Shah DV. A Web-Based eHealth Intervention to Improve the Quality of Life of Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2021;10(2):e25175
    CrossRef
  393. Cobos-Campos R, Sáez de Lafuente A, Apiñaniz A, Parraza N, Pérez Llanos I, Orive G. Effectiveness of mobile applications to quit smoking: Systematic review and meta-analysis. Tobacco Prevention & Cessation 2020;6(November):1
    CrossRef
  394. Stenzel L, Röcken M, Thrien H, Stoll O. Blended Learning zur Betreuung der deutschen männlichen U19 Handballnationalmannschaft bei der WM 2019. Zeitschrift für Sportpsychologie 2020;27(4):153
    CrossRef
  395. Lee M, Kang D, Yoon J, Shim S, Kim I, Oh D, Shin S, Hesse BW, Cho J, Weston KL. The difference in knowledge and attitudes of using mobile health applications between actual user and non-user among adults aged 50 and older. PLOS ONE 2020;15(10):e0241350
    CrossRef
  396. Spaulding EM, Marvel FA, Piasecki RJ, Martin SS, Allen JK. User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review. JMIR Cardio 2021;5(1):e18834
    CrossRef
  397. Georgieva I, Beaunoyer E, Guitton MJ. Ensuring social acceptability of technological tracking in the COVID-19 context. Computers in Human Behavior 2021;116:106639
    CrossRef
  398. van Dijk BT, van Steenbergen HW, Niemantsverdriet E, Brouwer E, van der Helm-van Mil AH. The value of inquiring about functional impairments for early identification of inflammatory arthritis: a large cross-sectional derivation and validation study from the Netherlands. BMJ Open 2020;10(12):e040148
    CrossRef
  399. Dugas M, Wang W, Crowley K, Iyer AK, Peeples M, Shomali M, Gao G. Engagement and Outcomes Associated with Contextual Annotation Features of a Digital Health Solution. Journal of Diabetes Science and Technology 2022;16(4):804
    CrossRef
  400. Singh H, Armas A, Law S, Tang T, Steele Gray C, Cunningham HV, Thombs R, Ellen M, Sritharan J, Nie JX, Plett D, Jarach CM, Thavorn K, Nelson MLA. How digital health solutions align with the roles and functions that support hospital to home transitions for older adults: a rapid review study protocol. BMJ Open 2021;11(2):e045596
    CrossRef
  401. Panagiotopoulou E, Peiris C, Hayes D. Behavior change techniques in mobile apps targeting self-harm in young people: a systematic review. Translational Behavioral Medicine 2021;11(3):832
    CrossRef
  402. Haluza D, Saustingl M, Halavina K. Perceptions of Practitioners on Telehealth and App Use for Smoking Cessation and COPD Care—An Exploratory Study. Medicina 2020;56(12):698
    CrossRef
  403. Alshathri DM, Alhumaimeedy AS, Al-Hudhud G, Alsaleh A, Al-Musharaf S, Aljuraiban GS. Weight Management Apps in Saudi Arabia: Evaluation of Features and Quality. JMIR mHealth and uHealth 2020;8(10):e19844
    CrossRef
  404. Stehr P, Karnowski V, Rossmann C. The multi-faceted usage patterns of nutrition apps: a survey on the appropriation of nutrition apps among German-speaking users of MyFitnessPal. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  405. Scherer J, Osterhoff G, Kaufmann E, Estel K, Neuhaus V, Willy C, Hepp P, Pape H, Back DA. What is the acceptance of video consultations among orthopedic and trauma outpatients? A multi-center survey in 780 outpatients. Injury 2021;52(11):3304
    CrossRef
  406. Scherer J, Keller F, Pape H, Osterhoff G. Would patients undergo postoperative follow-up by using a smartphone application?. BMC Surgery 2020;20(1)
    CrossRef
  407. Cho H, Chi C, Chiu W. Understanding sustained usage of health and fitness apps: Incorporating the technology acceptance model with the investment model. Technology in Society 2020;63:101429
    CrossRef
  408. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429
    CrossRef
  409. Paganini S, Terhorst Y, Sander LB, Catic S, Balci S, Küchler A, Schultchen D, Plaumann K, Sturmbauer S, Krämer LV, Lin J, Wurst R, Pryss R, Baumeister H, Messner E. Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2021;9(6):e22587
    CrossRef
  410. Gessa A, Jiménez A, Sancha P. Open Innovation in Digital Healthcare: Users’ Discrimination between Certified and Non-Certified mHealth Applications. Journal of Open Innovation: Technology, Market, and Complexity 2020;6(4):130
    CrossRef
  411. Heales LJ, Randall S, Vicenzino B, Coombes BK, Obst S. An evidence-based evaluation of mobile health apps for the management of individuals with lateral elbow tendinopathy using a systematic review framework. Physical Therapy Reviews 2021;26(4):243
    CrossRef
  412. Agarwal P, Gordon D, Griffith J, Kithulegoda N, Witteman HO, Sacha Bhatia R, Kushniruk AW, Borycki EM, Lamothe L, Springall E, Shaw J. Assessing the quality of mobile applications in chronic disease management: a scoping review. npj Digital Medicine 2021;4(1)
    CrossRef
  413. Aydin G, Silahtaroglu G, Khan FA. Insights into mobile health application market via a content analysis of marketplace data with machine learning. PLOS ONE 2021;16(1):e0244302
    CrossRef
  414. Dittrich F, Back DA, Harren AK, Landgraeber S, Reinecke F, Serong S, Beck S. Smartphone and App Usage in Orthopedics and Trauma Surgery: Survey Study of Physicians Regarding Acceptance, Risks, and Future Prospects in Germany. JMIR Formative Research 2020;4(11):e14787
    CrossRef
  415. Wagner L, Fink JC. Digital Solutions to Improve Medication Safety in CKD. Clinical Journal of the American Society of Nephrology 2021;16(4):499
    CrossRef
  416. Chiu M, Peinhof S, De Guzman C, Borhani M, Siu C, Kuzeljevic B, Schrader D, Huh L, Connolly MB. Seizure action plans in the pediatric population with epilepsy: Uptake, determinants, and parental interest in a mobile application. Epilepsy & Behavior 2021;117:107860
    CrossRef
  417. Khadjesari Z, Brown T, Naughton F. Regulation and accreditation of addictive behaviour applications—navigating the landscape. Addiction 2021;116(12):3276
    CrossRef
  418. Vinnikova A, Lu L, Wei J, Fang G, Yan J. The Use of Smartphone Fitness Applications: The Role of Self-Efficacy and Self-Regulation. International Journal of Environmental Research and Public Health 2020;17(20):7639
    CrossRef
  419. Bailey-Davis L, Wood GC, Cook A, Cunningham K, Jamieson S, Mowery J, Naylor A, Rolston DD, Seiler C, Still CD. Communicating personalized risk of diabetes and offering weight reduction program choice: Recruitment, participation, and outcomes. Patient Education and Counseling 2021;104(5):1193
    CrossRef
  420. Camacho-Rivera M, Vo H, Huang X, Lau J, Lawal A, Kawaguchi A. Evaluating Asthma Mobile Apps to Improve Asthma Self-Management: User Ratings and Sentiment Analysis of Publicly Available Apps. JMIR mHealth and uHealth 2020;8(10):e15076
    CrossRef
  421. Maassen O, Fritsch S, Gantner J, Deffge S, Kunze J, Marx G, Bickenbach J. Future Mobile Device Usage, Requirements, and Expectations of Physicians in German University Hospitals: Web-Based Survey. Journal of Medical Internet Research 2020;22(12):e23955
    CrossRef
  422. Fernández C, Maturana C, Coloma S, Carrasco-Labra A, Giacaman R. Teledentistry and mHealth for Promotion and Prevention of Oral Health: A Systematic Review and Meta-analysis. Journal of Dental Research 2021;100(9):914
    CrossRef
  423. Vansimaeys C, Benamar L, Balagué C. Digital health and management of chronic disease: A multimodal technologies typology. The International Journal of Health Planning and Management 2021;36(4):1107
    CrossRef
  424. Patoz M, Hidalgo-Mazzei D, Blanc O, Verdolini N, Pacchiarotti I, Murru A, Zukerwar L, Vieta E, Llorca P, Samalin L. Patient and physician perspectives of a smartphone application for depression: a qualitative study. BMC Psychiatry 2021;21(1)
    CrossRef
  425. Nicol GE, Ricchio AR, Metts CL, Yingling MD, Ramsey AT, Schweiger JA, Miller JP, Lenze EJ. A Smartphone-Based Technique to Detect Dynamic User Preferences for Tailoring Behavioral Interventions: Observational Utility Study of Ecological Daily Needs Assessment. JMIR mHealth and uHealth 2020;8(11):e18609
    CrossRef
  426. . Mobile Health Apps and Health Management Behaviors: Cost-Benefit Modeling Analysis. JMIR Human Factors 2021;8(2):e21251
    CrossRef
  427. Opipari-Arrigan L, Dykes DMH, Saeed SA, Thakkar S, Burns L, Chini BA, McPhail GL, Eslick I, Margolis PA, Kaplan HC. Technology-Enabled Health Care Collaboration in Pediatric Chronic Illness: Pre-Post Interventional Study for Feasibility, Acceptability, and Clinical Impact of an Electronic Health Record–Linked Platform for Patient-Clinician Partnership. JMIR mHealth and uHealth 2020;8(11):e11968
    CrossRef
  428. Wang T, Gan Y, Arena SD, Chitkushev LT, Zhang G, Rawassizadeh R. Advances for Indoor Fitness Tracking, Coaching, and Motivation: A Review of Existing Technological Advances. IEEE Systems, Man, and Cybernetics Magazine 2021;7(1):4
    CrossRef
  429. Muscat DM, Lambert K, Shepherd H, McCaffery KJ, Zwi S, Liu N, Sud K, Saunders J, O’Lone E, Kim J, Robbins A, Webster AC, Smith J. Supporting patients to be involved in decisions about their health and care: Development of a best practice health literacy App for Australian adults living with Chronic Kidney Disease. Health Promotion Journal of Australia 2021;32(S1):115
    CrossRef
  430. Vilardaga R, Fisher T, Palenski PE, Kumaresan V, Mannelli P, Sweitzer MM, McClernon FJ, Engelhard MM, Sabo PL, Garrison KA. Review of Popularity and Quality Standards of Opioid-Related Smartphone Apps. Current Addiction Reports 2020;7(4):486
    CrossRef
  431. Molina Recio G, Molina-Luque R, Romero-Saldaña M. The importance of knowing and listening to all those involved in the design and use of nutrition mobile apps. Getting to know the Great GApp. Nutrición Hospitalaria 2021;
    CrossRef
  432. Schmidtke KA, Elliott A, Patel K, King D, Vlaev I. A Randomized Controlled Trial to Evaluate Interventions Designed to Improve University Students' Subjective Financial Wellness in the United Kingdom. Journal of Financial Counseling and Planning 2020;31(2):296
    CrossRef
  433. Asuzu K, Rosenthal MZ. Mobile device use among inpatients on a psychiatric unit: A preliminary study. Psychiatry Research 2021;297:113720
    CrossRef
  434. Eicher-Miller HA, Prapkree L, Palacios C. Expanding the Capabilities of Nutrition Research and Health Promotion Through Mobile-Based Applications. Advances in Nutrition 2021;12(3):1032
    CrossRef
  435. Hussein WF, Bennett PN, Pace S, Chen S, Legg V, Atwal J, Sun S, Schiller B. The Mobile Health Readiness of People Receiving In-Center Hemodialysis and Home Dialysis. Clinical Journal of the American Society of Nephrology 2021;16(1):98
    CrossRef
  436. Reinecke F, Dittrich F, Dudda M, Stang A, Polan C, Müller R, Beck P, Kauther MD. Acceptance, Barriers, and Future Preferences of Mobile Health Among Patients Receiving Trauma and Orthopedic Surgical Care: Paper-Based Survey in a Prospective Multicenter Study. JMIR mHealth and uHealth 2021;9(4):e23784
    CrossRef
  437. Farrokhi A, Farahbakhsh R, Rezazadeh J, Minerva R. Application of Internet of Things and artificial intelligence for smart fitness: A survey. Computer Networks 2021;189:107859
    CrossRef
  438. Lee PH, Marek J, Nálevka P. Sleep pattern in the US and 16 European countries during the COVID-19 outbreak using crowdsourced smartphone data. European Journal of Public Health 2021;31(1):23
    CrossRef
  439. Morgan AA, Landers AL, Simpson JE, Russon JM, Case Pease J, Dolbin‐MacNab ML, Bland KN, Jackson JB. The transition to teletherapy in marriage and family therapy training settings during COVID‐19: What do the data tell us?. Journal of Marital and Family Therapy 2021;47(2):320
    CrossRef
  440. Jacobsen LF, Stancu V, Wang QJ, Aschemann-Witzel J, Lähteenmäki L. Connecting food consumers to organisations, peers, and technical devices: The potential of interactive communication technology to support consumers’ value creation. Trends in Food Science & Technology 2021;109:622
    CrossRef
  441. Szinay D, Perski O, Jones A, Chadborn T, Brown J, Naughton F. Influences on the Uptake of Health and Well-being Apps and Curated App Portals: Think-Aloud and Interview Study. JMIR mHealth and uHealth 2021;9(4):e27173
    CrossRef
  442. Bustamante LA, Gill Ménard C, Julien S, Romo L. Behavior Change Techniques in Popular Mobile Apps for Smoking Cessation in France: Content Analysis. JMIR mHealth and uHealth 2021;9(5):e26082
    CrossRef
  443. Monroe CM, Geraci M, Larsen CA, West DS. Feasibility and efficacy of a novel technology‐based approach to harness social networks for weight loss: the NETworks pilot randomized controlled trial. Obesity Science & Practice 2019;5(4):354
    CrossRef
  444. Kim K, Lee C. Examining an Integrative Cognitive Model of Predicting Health App Use: Longitudinal Observational Study. JMIR mHealth and uHealth 2021;9(2):e24539
    CrossRef
  445. Zečević M, Mijatović D, Kos Koklič M, Žabkar V, Gidaković P. User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling. Journal of Medical Internet Research 2021;23(4):e25160
    CrossRef
  446. Armstrong CC, Odukoya EJ, Sundaramurthy K, Darrow SM. Youth and Provider Perspectives on Behavior-Tracking Mobile Apps: Qualitative Analysis. JMIR Mental Health 2021;8(4):e24482
    CrossRef
  447. Chin WSY, Kurowski A, Gore R, Chen G, Punnett L. Use of a Mobile App for the Process Evaluation of an Intervention in Health Care: Development and Usability Study. JMIR Formative Research 2021;5(10):e20739
    CrossRef
  448. Gill H, Rojas H. Communication Mediation Model Predicting Political Participation among Instant Messaging App Users: An OSROR Approach. Communication Studies 2021;72(3):490
    CrossRef
  449. Pandl KD, Thiebes S, Schmidt-Kraepelin M, Sunyaev A. How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19. Scientific Reports 2021;11(1)
    CrossRef
  450. Song T, Deng N, Cui T, Qian S, Liu F, Guan Y, Yu P. Measuring Success of Patients’ Continuous Use of Mobile Health Services for Self-management of Chronic Conditions: Model Development and Validation. Journal of Medical Internet Research 2021;23(7):e26670
    CrossRef
  451. Maharaj A, Lim D, Murphy R, Serlachius A. Comparing Two Commercially Available Diabetes Apps to Explore Challenges in User Engagement: Randomized Controlled Feasibility Study. JMIR Formative Research 2021;5(6):e25151
    CrossRef
  452. Resnick D, Schapira MM, Smith JM, Bautista A, Xu C, Jones L, Aysola J. Promoting Collaborative Goal Setting for Cancer Prevention Among Primary Care Patients Through mHealth: Mixed Methods Evaluation of a New App. JMIR Formative Research 2021;5(7):e22510
    CrossRef
  453. Vasiloglou MF, Christodoulidis S, Reber E, Stathopoulou T, Lu Y, Stanga Z, Mougiakakou S. Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study. JMIR mHealth and uHealth 2021;9(7):e27885
    CrossRef
  454. Eikey EV, Caldeira CM, Figueiredo MC, Chen Y, Borelli JL, Mazmanian M, Zheng K. Beyond self-reflection: introducing the concept of rumination in personal informatics. Personal and Ubiquitous Computing 2021;25(3):601
    CrossRef
  455. Handzel O, Franck K. Smartphone based hearing evaluation. Operative Techniques in Otolaryngology-Head and Neck Surgery 2021;32(2):87
    CrossRef
  456. Gonzalez JN, Axiotakis LG, Yu VX, Gudis DA, Overdevest JB. Practice of Telehealth in Otolaryngology: A Scoping Review in the Era of COVID‐19. Otolaryngology–Head and Neck Surgery 2022;166(3):417
    CrossRef
  457. Mazzulla EC, Fondacaro KM, Weldon H, Dibble M, Price M. Addressing the Disparity in Refugee Mental Health Services: a Pilot Study of a Traumatic Stress Intervention Utilizing a Language-Free mHealth Application. Journal of Technology in Behavioral Science 2021;6(4):599
    CrossRef
  458. Jabour AM, Rehman W, Idrees S, Thanganadar H, Hira K, Alarifi MA. The Adoption of Mobile Health Applications Among University Students in Health Colleges. Journal of Multidisciplinary Healthcare 2021;Volume 14:1267
    CrossRef
  459. Qan’ir Y, Khalifeh AH, Eid M, Hammad B, Al-Batran M. Mobile health apps use among Jordanian outpatients: A descriptive study. Health Informatics Journal 2021;27(2):146045822110179
    CrossRef
  460. Radhakrishnan M, Misra A, Balan RK. W8-Scope: Fine-grained, practical monitoring of weight stack-based exercises. Pervasive and Mobile Computing 2021;75:101418
    CrossRef
  461. Sneha S, Thalla S, Rischie I, Shahriar H. Health Internet Technology for Chronic Conditions: Review of Diabetes Management Apps. JMIR Diabetes 2021;6(3):e17431
    CrossRef
  462. Alboraie M, Allam MA, Youssef N, Abdalgaber M, El-Raey F, Abdeen N, Mahdy RE, Elshaarawy O, Elgebaly A, Haydara T, Abd-Elsalam S, Nassar YA, Shabana H, Zaky S, Tsiknakis M. Knowledge, Applicability, and Barriers of Telemedicine in Egypt: A National Survey. International Journal of Telemedicine and Applications 2021;2021:1
    CrossRef
  463. Dittrich F, Albrecht U, von Jan U, Malinka C, Ansorg J, Jung J, Back DA. The Digital Healthcare Act – a Turning Point in the German Digitisation Strategy?. Zeitschrift für Orthopädie und Unfallchirurgie 2021;159(03):259
    CrossRef
  464. Sönnerfors P, Skavberg Roaldsen K, Ståhle A, Wadell K, Halvarsson A. Access to, use, knowledge, and preferences for information technology and technical equipment among people with chronic obstructive pulmonary disease (COPD) in Sweden. A cross-sectional survey study. BMC Medical Informatics and Decision Making 2021;21(1)
    CrossRef
  465. Limketkai BN, Mauldin K, Manitius N, Jalilian L, Salonen BR. The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition. Current Surgery Reports 2021;9(7)
    CrossRef
  466. Schueller SM, Neary M, Lai J, Epstein DA. Understanding People’s Use of and Perspectives on Mood-Tracking Apps: Interview Study. JMIR Mental Health 2021;8(8):e29368
    CrossRef
  467. Wang X, Shi J, Lee KM. The Digital Divide and Seeking Health Information on Smartphones in Asia: Survey Study of Ten Countries. Journal of Medical Internet Research 2022;24(1):e24086
    CrossRef
  468. Khanna MS, Carper M. Digital Mental Health Interventions for Child and Adolescent Anxiety. Cognitive and Behavioral Practice 2022;29(1):60
    CrossRef
  469. Hammond TE, Lampe L, Campbell A, Perisic S, Brakoulias V. Psychoeducational Social Anxiety Mobile Apps: Systematic Search in App Stores, Content Analysis, and Evaluation. JMIR mHealth and uHealth 2021;9(9):e26603
    CrossRef
  470. Bardus M, Borgi C, El-Harakeh M, Gherbal T, Kharroubi S, Fares E. Exploring the Use of Mobile and Wearable Technology among University Student Athletes in Lebanon: A Cross-Sectional Study. Sensors 2021;21(13):4472
    CrossRef
  471. Berry R, Kassavou A, Sutton S. Does self‐monitoring diet and physical activity behaviors using digital technology support adults with obesity or overweight to lose weight? A systematic literature review with meta‐analysis. Obesity Reviews 2021;22(10)
    CrossRef
  472. Yousaf A, Mishra A, Gupta A. ‘From technology adoption to consumption’: Effect of pre-adoption expectations from fitness applications on usage satisfaction, continual usage, and health satisfaction. Journal of Retailing and Consumer Services 2021;62:102655
    CrossRef
  473. Dinkel D, Harsh Caspari J, Fok L, Notice M, Johnson DJ, Watanabe-Galloway S, Emerson M. A qualitative exploration of the feasibility of incorporating depression apps into integrated primary care clinics. Translational Behavioral Medicine 2021;11(9):1708
    CrossRef
  474. Dawson J, Lambert K, Campbell KL, Kelly JT. Incorporating digital platforms into nutritional care in chronic kidney disease. Seminars in Dialysis 2021;
    CrossRef
  475. König LM, Attig C, Franke T, Renner B. Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework. JMIR mHealth and uHealth 2021;9(6):e20037
    CrossRef
  476. Lau N, O'Daffer A, Yi-Frazier JP, Rosenberg AR. Popular Evidence-Based Commercial Mental Health Apps: Analysis of Engagement, Functionality, Aesthetics, and Information Quality. JMIR mHealth and uHealth 2021;9(7):e29689
    CrossRef
  477. Sedhom R, McShea MJ, Cohen AB, Webster JA, Mathews SC. Mobile app validation: a digital health scorecard approach. npj Digital Medicine 2021;4(1)
    CrossRef
  478. Lemacks JL, Abbott LS, Greer T, Gunn R, Bryant A, Bradford L, Ralston PA. The church bridge project focus group results: African American perspectives of weight management programs to improve nutrition and physical activity behaviors. BMC Nutrition 2021;7(1)
    CrossRef
  479. Onyeaka H, Firth J, Kessler RC, Lovell K, Torous J. Use of smartphones, mobile apps and wearables for health promotion by people with anxiety or depression: An analysis of a nationally representative survey data. Psychiatry Research 2021;304:114120
    CrossRef
  480. Uribe ALM, Rudt HG, Leak TM. Stakeholders’ Views on Mobile Applications to Deliver Infant and Toddler Feeding Education to Latina Mothers of Low Socioeconomic Status. Nutrients 2021;13(8):2569
    CrossRef
  481. Dao KP, De Cocker K, Tong HL, Kocaballi AB, Chow C, Laranjo L. Smartphone-Delivered Ecological Momentary Interventions Based on Ecological Momentary Assessments to Promote Health Behaviors: Systematic Review and Adapted Checklist for Reporting Ecological Momentary Assessment and Intervention Studies. JMIR mHealth and uHealth 2021;9(11):e22890
    CrossRef
  482. MacLeod J, Scher L, Greenwood D, Isaacs D, Albanese-O’Neill A, O’Neill MS, Golden L, Scalzo P. Technology Disparities and Therapeutic Inertia: A Call to Action for the Diabetes Care and Education Specialist. ADCES in Practice 2021;9(5):34
    CrossRef
  483. Hartono IK, Della TK, Kawi YA, Yuniarty . Determinants factor affecting user continuance usage and intention to recommend of mobile telemedicine. IOP Conference Series: Earth and Environmental Science 2021;794(1):012079
    CrossRef
  484. Fu S, Chen X, Zheng H, Ou M. Understanding health information literacy of mHealth app users from digital wellbeing perspective: Evidence from regression analysis and fsQCA. Library & Information Science Research 2021;43(3):101108
    CrossRef
  485. Tobias G, Spanier AB. Using an mHealth App (iGAM) to Reduce Gingivitis Remotely (Part 2): Prospective Observational Study. JMIR mHealth and uHealth 2021;9(9):e24955
    CrossRef
  486. Spohrer K, Fallon M, Hoehle H, Heinzl A. Designing Effective Mobile Health Apps: Does Combining Behavior Change Techniques Really Create Synergies?. Journal of Management Information Systems 2021;38(2):517
    CrossRef
  487. Tobias G, Sgan-Cohen H, Spanier AB, Mann J. Perceptions and Attitudes Toward the Use of a Mobile Health App for Remote Monitoring of Gingivitis and Willingness to Pay for Mobile Health Apps (Part 3): Mixed Methods Study. JMIR Formative Research 2021;5(10):e26125
    CrossRef
  488. KC B, Alrasheedy A, Goh BH, Blebil A, Bangash NSA, Mohamed Ibrahim MI, Rehman IU. The Types and Pattern of Use of Mobile Health Applications Among the General Population: A Cross-Sectional Study from Selangor, Malaysia. Patient Preference and Adherence 2021;Volume 15:1755
    CrossRef
  489. Liu K, Or CK, So M, Cheung B, Chan B, Tiwari A, Tan J. A longitudinal examination of tablet self-management technology acceptance by patients with chronic diseases: Integrating perceived hand function, perceived visual function, and perceived home space adequacy with the TAM and TPB. Applied Ergonomics 2022;100:103667
    CrossRef
  490. Eze CE, West BT, Dorsch MP, Coe AB, Lester CA, Buis LR, Farris K. Predictors of Smartphone and Tablet Use Among Patients With Hypertension: Secondary Analysis of Health Information National Trends Survey Data. Journal of Medical Internet Research 2022;24(1):e33188
    CrossRef
  491. Hee Ko KK, Kim SK, Lee Y, Lee JY, Stoyanov SR. Validation of a Korean version of mobile app rating scale (MARS) for apps targeting disease management. Health Informatics Journal 2022;28(2):146045822210919
    CrossRef
  492. Shan Y, Ji M, Xie W, Li R, Qian X, Zhang X, Hao T. Chinese Version of the Mobile Health App Usability Questionnaire: Translation, Adaptation, and Validation Study. JMIR Formative Research 2022;6(7):e37933
    CrossRef
  493. Li Y, Zhang X, Guo X, Wang L. Underlying Emotional Mechanisms of Routine m-Health Use in Chronically Ill Patients. IEEE Transactions on Engineering Management 2022;69(6):2658
    CrossRef
  494. Devine JK, Schwartz LP, Hursh SR. Technical, Regulatory, Economic, and Trust Issues Preventing Successful Integration of Sensors into the Mainstream Consumer Wearables Market. Sensors 2022;22(7):2731
    CrossRef
  495. Luo Y, Mou J. Understanding gender differences in mHealth apps continuance: a modified protection motivation theory. Journal of Electronic Business & Digital Economics 2022;1(1/2):225
    CrossRef
  496. Adesina N, Dogan H, Green S, Tsofliou F. Effectiveness and Usability of Digital Tools to Support Dietary Self-Management of Gestational Diabetes Mellitus: A Systematic Review. Nutrients 2021;14(1):10
    CrossRef
  497. Leigh JW, Gerber BS, Gans CP, Kansal MM, Kitsiou S. Smartphone Ownership and Interest in Mobile Health Technologies for Self-care Among Patients With Chronic Heart Failure: Cross-sectional Survey Study. JMIR Cardio 2022;6(1):e31982
    CrossRef
  498. Zand A, Nguyen A, Reynolds C, Khandadash A, Esrailian E, Hommes D. Patient Experience and Satisfaction with an e-Health Care Management Application for Inflammatory Bowel Diseases. International Journal of Environmental Research and Public Health 2021;18(22):11747
    CrossRef
  499. Buhr L, Kaufmann PLM, Jörß K. Attitudes of Patients With Chronic Heart Failure Toward Digital Device Data for Self-documentation and Research in Germany: Cross-sectional Survey Study. JMIR Cardio 2022;6(2):e34959
    CrossRef
  500. Meankaew P, Lawpoolsri S, Piyaphanee W, Wansatid P, Chaovalit P, Lawawirojwong S, Kaewkungwal J. Cross-platform mobile app development for disseminating public health information to travelers in Thailand: development and usability. Tropical Diseases, Travel Medicine and Vaccines 2022;8(1)
    CrossRef
  501. Ding MY, Wang W. Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model. International Journal of Human–Computer Interaction 2023;:1
    CrossRef
  502. Torres L, Lee JL, Park S, Di Lorenzo RC, Branam JP, Fraser SA, Salisbury BA. Retention, Fasting Patterns, and Weight Loss With an Intermittent Fasting App: Large-Scale, 52-Week Observational Study. JMIR mHealth and uHealth 2022;10(10):e35896
    CrossRef
  503. Funnell EL, Spadaro B, Martin-Key N, Metcalfe T, Bahn S. mHealth Solutions for Mental Health Screening and Diagnosis: A Review of App User Perspectives Using Sentiment and Thematic Analysis. Frontiers in Psychiatry 2022;13
    CrossRef
  504. Kozik M, Isakadze N, Martin SS. Mobile health in preventive cardiology: current status and future perspective. Current Opinion in Cardiology 2021;36(5):580
    CrossRef
  505. Grout L, Telfer K, Wilson N, Cleghorn C, Mizdrak A. Prescribing Smartphone Apps for Physical Activity Promotion in Primary Care: Modeling Study of Health Gain and Cost Savings. Journal of Medical Internet Research 2021;23(12):e31702
    CrossRef
  506. Patton SR, Coffman MJ, De Haven MJ, Miller C, Krinner LM. Text Message Intervention for Latino Adults to Improve Diabetes Outcomes. Hispanic Health Care International 2022;20(4):248
    CrossRef
  507. Patel B, Edwards T, Schrire T, Barnard K, Sen S. Is the Quality of Mobile Health Applications for Burns Being Adequately Assessed?. Journal of Burn Care & Research 2022;43(4):814
    CrossRef
  508. Lowe C, Browne M, Marsh W, Morrissey D. Usability Testing of a Digital Assessment Routing Tool for Musculoskeletal Disorders: Iterative, Convergent Mixed Methods Study. Journal of Medical Internet Research 2022;24(8):e38352
    CrossRef
  509. Brenk-Franz K, Leonhardt LJ, Strauß B. Attachment and patient activation as predictors of the interest and use of telemedical health applications –results of an observational study in primary health care. BMC Primary Care 2022;23(1)
    CrossRef
  510. Huang L, Zhang L, Jiang S, Liang B, Xu N, Li J, Zhang X, Zhang Z. Association of the Coronavirus Disease 2019 Outbreak on the Diabetes Self-Management in Chinese Patients: An Analytical Cross-Sectional Study. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2022;Volume 15:1413
    CrossRef
  511. Funnell EL, Spadaro B, Benacek J, Martin-Key NA, Metcalfe T, Olmert T, Barton-Owen G, Bahn S. Learnings from user feedback of a novel digital mental health assessment. Frontiers in Psychiatry 2022;13
    CrossRef
  512. Mustafa AS, Ali N, Dhillon JS, Alkawsi G, Baashar Y. User Engagement and Abandonment of mHealth: A Cross-Sectional Survey. Healthcare 2022;10(2):221
    CrossRef
  513. Biviji R, Williams KS, Vest JR, Dixon BE, Cullen T, Harle CA. Consumer Perspectives on Maternal and Infant Health Apps: Qualitative Content Analysis. Journal of Medical Internet Research 2021;23(9):e27403
    CrossRef
  514. Bining M, Wasserman S, Brahim LO, Belzile E, Magalhaes M, Lambert SD. An Evaluation of Publicly Available Smartphone Apps to Support Unpaid Cancer Caregivers. Journal of Pain and Symptom Management 2022;63(3):430
    CrossRef
  515. Ping Y, Visaria A, Suppiah SD, Tan YW, Malhotra R. Prevalence and correlates of medication reminder app ‘use and use intention’ among older adults. Exploratory Research in Clinical and Social Pharmacy 2022;6:100150
    CrossRef
  516. Paradis S, Roussel J, Bosson J, Kern J. Use of Smartphone Health Apps Among Patients Aged 18 to 69 Years in Primary Care: Population-Based Cross-sectional Survey. JMIR Formative Research 2022;6(6):e34882
    CrossRef
  517. Cobos-Campos R, Apiñaniz A, Sáez de Lafuente A, Parraza N. Development, validation and transfer to clinical practice of a mobile application for the treatment of smoking. Atención Primaria 2022;54(7):102363
    CrossRef
  518. van den Berg LN, Hallensleben C, Chavannes NH, Versluis A. Developing a Smartphone Application That Promotes Responsible Short-Acting Beta2-Agonist Use in People with Asthma: A Participatory Design. International Journal of Environmental Research and Public Health 2022;19(14):8496
    CrossRef
  519. Resnick D, Kearney MD, Smith JM, Bautista A, Jones L, Schapira MM, Aysola J. Designing a Cancer Prevention Collaborative Goal-Setting Mobile App for Non-Hispanic Black Primary Care Patients: An Iterative, Qualitative Patient-Led Process. JMIR Formative Research 2022;6(3):e28157
    CrossRef
  520. Philip BJ, Abdelrazek M, Barnett S, Bonti A, Grundy J. Toward a Unified mHealth Platform: A Survey of Current User Challenges and Expectations. IEEE Access 2023;11:19876
    CrossRef
  521. Guo Y, Ma X, Chen D, Zhang H. Factors Influencing Use of Fitness Apps by Adults under Influence of COVID-19. International Journal of Environmental Research and Public Health 2022;19(23):15460
    CrossRef
  522. Geerling B, Kelders SM, Stevens AWMM, Kupka RW, Bohlmeijer ET. Why patients diagnosed with bipolar disorder start, continue or discontinue health‐related apps supporting their self‐management. Journal of Psychiatric and Mental Health Nursing 2023;30(3):537
    CrossRef
  523. Syed F, Hassan M, Shehzad A, Koul SS, Arif MA, Dewey RS, Khaliq T. The establishment of a telemedicine center during the COVID-19 pandemic at a tertiary care hospital in Pakistan. Clinical eHealth 2021;4:50
    CrossRef
  524. Kerr D, King F, Klonoff DC. Digital Health Interventions for Diabetes: Everything to Gain and Nothing to Lose. Diabetes Spectrum 2019;32(3):226
    CrossRef
  525. Koivuniemi E, Raats MM, Ollila H, Löyttyniemi E, Laitinen K. Characterising the use, users and effects of a health app supporting lifestyle changes in pregnant women. British Journal of Nutrition 2023;130(3):433
    CrossRef
  526. McVay MA, Cooper KB, Donahue ML, Seoane MC, Shah NR, Webb F, Perri M, Jake‐Schoffman DE. Engaging primary care patients with existing online tools for weight loss: A pilot trial. Obesity Science & Practice 2022;8(5):569
    CrossRef
  527. Elnaggar A, von Oppenfeld J, Whooley MA, Merek S, Park LG. Applying Mobile Technology to Sustain Physical Activity After Completion of Cardiac Rehabilitation: Acceptability Study. JMIR Human Factors 2021;8(3):e25356
    CrossRef
  528. Hawkins JE, Higgins K. There’s an app for that: educational intervention to promote mobile health management app use in rural Ireland. International Journal of Health Promotion and Education 2022;60(5):273
    CrossRef
  529. Ali ZS, Dang H. Factors impacting the use of the NZ COVID Tracer application in New Zealand". Smart Health 2022;24:100278
    CrossRef
  530. Flood SM, Thompson B, Faulkner G, Vanderloo LM, Blackett B, Dolf M, Latimer-Cheung AE, Duggan M, Di Sebastiano KM, Lane KN, Brouwers MC, McKenna J, Chulak-Bozzer T, Fuller D, Ruissen GR, Sturrock SL, Tomasone JR. Development of a ParticipACTION App–Based Intervention for Improving Postsecondary Students’ 24-Hour Movement Guideline Behaviors: Protocol for the Application of Intervention Mapping. JMIR Research Protocols 2023;12:e39977
    CrossRef
  531. Kang S, Baek H, Cho J, Kim S, Hwang H, Lee W, Park JJ, Yoon YE, Yoon C, Cho Y, Youn T, Cho G, Chae I, Choi D, Yoo S, Suh J. Management of cardiovascular disease using an mHealth tool: a randomized clinical trial. npj Digital Medicine 2021;4(1)
    CrossRef
  532. Schroeder T, Haug M, Gewald H. Data Privacy Concerns Using mHealth Apps and Smart Speakers: Comparative Interview Study Among Mature Adults. JMIR Formative Research 2022;6(6):e28025
    CrossRef
  533. Fu Y, Tang T, Long J, Lin B, Li J, Quan G, Yang H, Zhao C, Yin M, Shi L. Factors associated with using the internet for medical information based on the doctor-patient trust model: a cross-sectional study. BMC Health Services Research 2021;21(1)
    CrossRef
  534. Bunik M, Jimenez-Zambrano A, Solano M, Beaty BL, Juarez-Colunga E, Zhang X, Moore SL, Bull S, Leiferman JA. Mother’s Milk Messaging™: trial evaluation of app and texting for breastfeeding support. BMC Pregnancy and Childbirth 2022;22(1)
    CrossRef
  535. Kuo L, Chang T, He C. Research on multimedia application development and color mode of App users. Multimedia Tools and Applications 2022;81(12):17015
    CrossRef
  536. Yeoh R, Kim HK, Kang H, Lin YA, Ho AD, Ho KF. What Determines Intentions to Use Mobile Fitness Apps? The Independent and Joint Influence of Social Norms. International Journal of Human–Computer Interaction 2024;40(2):121
    CrossRef
  537. Lee VV, Vijayakumar S, Lau NY, Blasiak A, Siah KTH, Ho D. Understanding the user: Patients’ perception, needs, and concerns of health apps for chronic constipation. DIGITAL HEALTH 2022;8:205520762211046
    CrossRef
  538. Eustache JH, Latimer EA, Liberman AS, Charlebois P, Stein BL, Fiore JF, Feldman LS, Lee L. A Mobile Phone App Improves Patient-Physician Communication and Reduces Emergency Department Visits After Colorectal Surgery. Diseases of the Colon & Rectum 2023;66(1):130
    CrossRef
  539. Fang P, Shi S, Menhas R, Laar RA, Saeed MM. Demographic Characteristics and Digital Platforms for Physical Activity Among the Chinese Residents During the COVID-19 Pandemic: A Mediating Analysis. Journal of Multidisciplinary Healthcare 2022;Volume 15:515
    CrossRef
  540. Morton E, Nicholas J, Yang L, Lapadat L, Barnes SJ, Provencher MD, Depp C, Chan M, Kulur R, Michalak EE. Evaluating the quality, safety, and functionality of commonly used smartphone apps for bipolar disorder mood and sleep self-management. International Journal of Bipolar Disorders 2022;10(1)
    CrossRef
  541. Scherer J, Youssef Y, Dittrich F, Albrecht U, Tsitsilonis S, Jung J, Pförringer D, Landgraeber S, Beck S, Back DA. Proposal of a New Rating Concept for Digital Health Applications in Orthopedics and Traumatology. International Journal of Environmental Research and Public Health 2022;19(22):14952
    CrossRef
  542. . A Review of the Quality and Impact of Mobile Health Apps. Annual Review of Public Health 2022;43(1):117
    CrossRef
  543. Commodore-Mensah Y, Sarfo FS, Turkson-Ocran R, Foti K, Mobula LM, Himmelfarb CD, Carson KA, Appiah LT, Degani M, Lang'at C, Nyamekye G, Molello NE, Ahima R, Cooper LA. Addressing Hypertension Care in Africa (ADHINCRA): Study protocol for a cluster-randomized controlled pilot trial. Contemporary Clinical Trials 2023;125:107077
    CrossRef
  544. Alkawaldeh M, Lee A, Al–Yateem N, Dias J, Refaat F, Rahman S, Subu MA. Racial and Sociodemographic Disparities in Telehealth Access and Utilization during the COVID-19 Pandemic. Open Access Macedonian Journal of Medical Sciences 2022;10(A):1668
    CrossRef
  545. Aziz M, Erbad A, Belhaouari SB, Almourad MB, Altuwairiqi M, Ali R. Who Uses Mhealth? User Archetypes for Physical and Mental Health Apps. DIGITAL HEALTH 2023;9:205520762311521
    CrossRef
  546. . Sağlık Yöneticilerinin E-Nabız Uygulamalarının Kullanımına Yönelik Tutumlarının Doğrulayıcı Faktör Analizi İle Belirlenmesi. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi 2021;10(4):610
    CrossRef
  547. Souza SC, da Silva DF, Nagpal TS, Semeniuk K, Ferraro ZM, Redman L, Shen GX, Adamo KB. The short-term effect of a mHealth intervention on gestational weight gain and health behaviors: The SmartMoms Canada pilot study. Physiology & Behavior 2022;257:113977
    CrossRef
  548. Cao L, Chongsuvivatwong V, McNeil EB. The Association between mHealth App Use and Healthcare Satisfaction among Clients at Outpatient Clinics: A Cross-Sectional Study in Inner Mongolia, China. International Journal of Environmental Research and Public Health 2022;19(11):6916
    CrossRef
  549. Rostad SE, Ghearing GR. Self-care and Epilepsy. Current Treatment Options in Neurology 2022;24(12):641
    CrossRef
  550. Jones AC, Grout L, Wilson N, Nghiem N, Cleghorn C. The Cost-effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Weight Loss: Updated Modeling Study. JMIR Formative Research 2022;6(4):e29291
    CrossRef
  551. Hommel KA, Ramsey RR, Gray WN, Denson LA. Digital Therapeutic Self‐Management Intervention in Adolescents With Inflammatory Bowel Disease. Journal of Pediatric Gastroenterology and Nutrition 2023;76(1):38
    CrossRef
  552. . Diferencias de género en uso de aplicaciones móviles de ejercicio en alumnos de Entrenamiento Deportivo. Revista de Ciencias del Ejercicio FOD 2022;17(1)
    CrossRef
  553. Rezaee R, Khashayar M, Saeedinezhad S, Nasiri M, Zare S. Critical Criteria and Countermeasures for Mobile Health Developers to Ensure Mobile Health Privacy and Security: Mixed Methods Study. JMIR mHealth and uHealth 2023;11:e39055
    CrossRef
  554. Baer N, Vietzke J, Schenk L, Jutai J. Middle-aged and older adults’ acceptance of mobile nutrition and fitness apps: A systematic mixed studies review. PLOS ONE 2022;17(12):e0278879
    CrossRef
  555. Dinour LM, Pole A. Evaluation of Breastfeeding App Features: Content Analysis Study. JMIR Pediatrics and Parenting 2022;5(4):e37581
    CrossRef
  556. . Bodies In and Out of Shape: Obesity (Discourses) and Agency in Times of Self-Optimization. Amerikastudien/American Studies 2021;66(3):511
    CrossRef
  557. Lau EY, Mitchell MS, Faulkner G. Long-term usage of a commercial mHealth app: A “multiple-lives” perspective. Frontiers in Public Health 2022;10
    CrossRef
  558. Vercell A, Gasteiger N, Yorke J, Dowding D. Patient-facing cancer mobile apps that enable patient reported outcome data to be collected: A systematic review of content, functionality, quality, and ability to integrate with electronic health records. International Journal of Medical Informatics 2023;170:104931
    CrossRef
  559. Dittrich F, Albrecht U, Scherer J, Becker SL, Landgraeber S, Back DA, Fessmann K, Haversath M, Beck S, Abbara-Czardybon M, Quitmann H, Harren AK, Aitzetmüller M, Klietz ML. Development of Open Backend Structures for Health Care Professionals to Improve Participation in App Developments: Pilot Usability Study of a Medical App. JMIR Formative Research 2023;7:e42224
    CrossRef
  560. Montgomery K, Chester J, Kopp K. Health Wearables: Ensuring Fairness, Preventing Discrimination, and Promoting Equity in an Emerging Internet-of-Things Environment. Journal of Information Policy 2018;8:34
    CrossRef
  561. Wu P, Zhang R, Luan J, Zhu M. Factors affecting physicians using mobile health applications: an empirical study. BMC Health Services Research 2022;22(1)
    CrossRef
  562. Duan B, Liu Z, Liu W, Gou B. Assessing the Views and Needs of People at High Risk of Gestational Diabetes Mellitus for the Development of Mobile Health Apps: Descriptive Qualitative Study. JMIR Formative Research 2022;6(7):e36392
    CrossRef
  563. Yang J, Kanthawala S, Joo E, Kononova A. Can Brand Sponsorship Increase Download Intention for mHealth Apps? The Role of Issue Relevance, Brand Involvement, and Perceived App Quality. Journal of Promotion Management 2022;28(6):869
    CrossRef
  564. Kusuma JD, Yang H, Yang Y, Chen Z, Shiao SPK. Validating Accuracy of a Mobile Application against Food Frequency Questionnaire on Key Nutrients with Modern Diets for mHealth Era. Nutrients 2022;14(3):537
    CrossRef
  565. Fu S, Fang J, Cai Z, Lim ETK, Tan C, Yang H. Advancing health-related abilities and behaviors via health apps: a large-scale survey from self-regulation perspective. Internet Research 2022;32(4):1097
    CrossRef
  566. Bonet Olivencia S, Rao AH, Smith A, Sasangohar F. Eliciting Requirements for a Diabetes Self-Management Application for Underserved Populations: A Multi-Stakeholder Analysis. International Journal of Environmental Research and Public Health 2021;19(1):127
    CrossRef
  567. Chan A, De Simoni A, Wileman V, Holliday L, Newby CJ, Chisari C, Ali S, Zhu N, Padakanti P, Pinprachanan V, Ting V, Griffiths CJ. Digital interventions to improve adherence to maintenance medication in asthma. Cochrane Database of Systematic Reviews 2022;2022(6)
    CrossRef
  568. Sun K, Goodfellow H, Konstantara E, Hill A, Lennard D, Lloyd-Dehler E, Mughal M, Pritchard-Jones K, Robson C, Murray E. The multidisciplinary, theory-based co-design of a new digital health intervention supporting the care of oesophageal cancer patients. DIGITAL HEALTH 2021;7:205520762110384
    CrossRef
  569. . Infant Feeding Tracker Applications: Cross-Sectional Analysis of Use. Journal of Nutrition Education and Behavior 2022;54(9):835
    CrossRef
  570. Pg Arshad PMAM, Baharun R, Zaidin N. Goal-setting Theory (Gst) and Gamification Relationship in Increasing Mobile Fitness Apps Engagement: A Conceptual Discussion. Journal of Business and Social Review in Emerging Economies 2019;5(1):155
    CrossRef
  571. Fewings A, Vandelanotte C, Irwin C, Ting C, Williams E, Khalesi S. The use and acceptability of diet-related apps and websites in Australia: Cross-sectional study. DIGITAL HEALTH 2022;8:205520762211390
    CrossRef
  572. Jaenisch M, Wirtz DC, Kohlhof H, Gathen M, Kabir K, Koob S, Jansen TR. APP-guided assessment of acetabular defects in hip revision arthroplasty: a structured approach to a complex situation. Archives of Orthopaedic and Trauma Surgery 2021;143(3):1301
    CrossRef
  573. Powell-Wiley TM, Martinez MF, Tamura K, Neally SJ, O'Shea KJ, Curlin K, Albarracin Y, Vijayakumar NP, Morgan M, Ortiz-Chaparro E, Bartsch SM, Osei Baah F, Wedlock PT, Ortiz-Whittingham LR, Scannell S, Potharaju KA, Randall S, Solano Gonzales M, Domino M, Ranganath K, Hertenstein D, Syed R, Weatherwax C, Lee BY. The Impact of a Place-Tailored Digital Health App Promoting Exercise Classes on African American Women’s Physical Activity and Obesity: Simulation Study. Journal of Medical Internet Research 2022;24(8):e30581
    CrossRef
  574. Mitrani LR, Goldenthal I, Leskowitz J, Wan EY, Dizon J, Saluja D, Creber RM, Turchioe MR, Sciacca RR, Garan H, Hickey KT, Korner J, Biviano AB. Risk factor management of atrial fibrillation using mHealth: The Atrial Fibrillation – Helping Address Care with Remote Technology (AF-HEART) Pilot Study. Cardiovascular Digital Health Journal 2022;3(1):14
    CrossRef
  575. Nwolise CH, Carey N, Shawe J. Preconception and Diabetes Information (PADI) App for Women with Pregestational Diabetes: a Feasibility and Acceptability Study. Journal of Healthcare Informatics Research 2021;5(4):446
    CrossRef
  576. Attié E, Meyer-Waarden L. The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy calculus theories. Technological Forecasting and Social Change 2022;176:121485
    CrossRef
  577. Burns SP, Terblanche M, MacKinen A, DeLaPena C, Fielder JDP. Smartphone and mHealth Use After Stroke: Results From a Pilot Survey. OTJR: Occupational Therapy Journal of Research 2022;42(2):127
    CrossRef
  578. Hogan TP, Etingen B, Lipschitz JM, Shimada SL, McMahon N, Bolivar D, Bixler FR, Irvin D, Wacks R, Cutrona S, Frisbee KL, Smith BM. Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey. JMIR mHealth and uHealth 2022;10(12):e41767
    CrossRef
  579. Mia MR, Shahriar H, Valero M, Sakib N, Saha B, Barek MA, Faruk MJH, Goodman B, Khan RA, Ahamed SI. A comparative study on HIPAA technical safeguards assessment of android mHealth applications. Smart Health 2022;26:100349
    CrossRef
  580. Tay BSJ, Edney SM, Brinkworth GD, Cox DN, Wiggins B, Davis A, Gwilt I, Haveman-Nies A, Ryan JC. Co-design of a digital dietary intervention for adults at risk of type 2 diabetes. BMC Public Health 2021;21(1)
    CrossRef
  581. Schmaderer MS, Struwe L, Loecker C, Lier L, Lundgren SW, Pozehl B, Zimmerman L. Feasibility, Acceptability, and Intervention Description of a Mobile Health Intervention in Patients With Heart Failure. Journal of Cardiovascular Nursing 2023;38(5):481
    CrossRef
  582. Coughlin JW, Martin LM, Zhao D, Goheer A, Woolf TB, Holzhauer K, Lehmann HP, Lent MR, McTigue KM, Clark JM, Bennett WL. Electronic Health Record–Based Recruitment and Retention and Mobile Health App Usage: Multisite Cohort Study. Journal of Medical Internet Research 2022;24(6):e34191
    CrossRef
  583. Jezrawi R, Balakumar S, Masud R, Gabizon I, Bhagirath V, Varughese J, Brown M, Trottier D, Schwalm J, McGillion M, Alvarez E, Lokker C. Patient and physician perspectives on the use and outcome measures of mHealth apps: Exploratory survey and focus group study. DIGITAL HEALTH 2022;8:205520762211027
    CrossRef
  584. Messner E, Feikes KI. Systemische Therapie goes online. Psychotherapeut 2021;66(6):501
    CrossRef
  585. Vovk V, Kister A, Kwilinski A. Benefits of the on-line healthcare services. E3S Web of Conferences 2021;307:08001
    CrossRef
  586. Stake M, Heinrichs B. Ethical Implications of e-Health Applications in Early Preventive Healthcare. Frontiers in Genetics 2022;13
    CrossRef
  587. A V, Vardhan V, Deva. A S. KNOWLEDGE AND ATTITUDE TOWARDS TELEMEDICINE AMONG DOCTORS OF CHENGALPATTU DISTRICT: A CROSS SECTIONAL STUDY. INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH 2022;:76
    CrossRef
  588. Win H, Russell S, Wertheim BC, Maizes V, Crocker R, Brooks AJ, Mesa R, Huberty J, Geyer H, Eckert R, Larsen A, Gowin K. Mobile App Intervention on Reducing the Myeloproliferative Neoplasm Symptom Burden: Pilot Feasibility and Acceptability Study. JMIR Formative Research 2022;6(3):e33581
    CrossRef
  589. Buhr L, Schicktanz S, Nordmeyer E. Attitudes Toward Mobile Apps for Pandemic Research Among Smartphone Users in Germany: National Survey. JMIR mHealth and uHealth 2022;10(1):e31857
    CrossRef
  590. Messner E, Sturm N, Terhorst Y, Sander LB, Schultchen D, Portenhauser A, Schmidbaur S, Stach M, Klaus J, Baumeister H, Walter BM. Mobile Apps for the Management of Gastrointestinal Diseases: Systematic Search and Evaluation Within App Stores. Journal of Medical Internet Research 2022;24(10):e37497
    CrossRef
  591. de Wildt KK, Meijers MH. Time spent on separating waste is never wasted: Fostering people's recycling behavior through the use of a mobile application. Computers in Human Behavior 2023;139:107541
    CrossRef
  592. Scherer J, Back DA, Thienemann F, Kaufmann E, Neuhaus V, Willy C, Hepp P, Pape H, Osterhoff G. The effect of Covid-19 on the willingness to use video consultations among orthopedic and trauma outpatients: a multi-center survey in 1400 outpatients. European Journal of Trauma and Emergency Surgery 2022;48(3):2199
    CrossRef
  593. Ma L, Zhao X, Zhou Z. The effect of fixed physical usage patterns on the engagement of physical activity apps: a real-world data analysis. Behaviour & Information Technology 2024;43(2):246
    CrossRef
  594. Stancu V, Frank D, Lähteenmäki L, Grunert KG. Motivating consumers for health and fitness: The role of app features. Journal of Consumer Behaviour 2022;21(6):1506
    CrossRef
  595. Patel SP, Sun E, Reinhardt A, Geevarghese S, He S, Gazmararian JA. Social Determinants of Digital Health Adoption: Pilot Cross-sectional Survey. JMIR Formative Research 2022;6(12):e39647
    CrossRef
  596. Shegog R, Savas LS, Healy CM, Frost EL, Coan SP, Gabay EK, Preston SM, Spinner SW, Wilbur M, Becker E, Teague T, Vernon SW. AVPCancerFree : Impact of a digital behavior change intervention on parental HPV vaccine –related perceptions and behaviors. Human Vaccines & Immunotherapeutics 2022;18(5)
    CrossRef
  597. Wu K, Alegria R, Gonzalez J, Hu H, Wang H, Page R, Robbins-Furman P, Ma P, Tseng T, Chen L. Characteristics and Quality of Mobile Apps Containing Prenatal Genetic Testing Information: Systematic App Store Search and Assessment. JMIR mHealth and uHealth 2021;9(10):e30404
    CrossRef
  598. Potgieter A, Rensleigh C. Blood donor app usage behaviour and perceptions: Considerations for a blood donation app. SA Journal of Information Management 2022;24(1)
    CrossRef
  599. Philip BJ, Abdelrazek M, Bonti A, Barnett S, Grundy J. Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis. JMIR mHealth and uHealth 2022;10(3):e30468
    CrossRef
  600. Neumann D, Tiberius V, Biendarra F. Adopting wearables to customize health insurance contributions: a ranking-type Delphi. BMC Medical Informatics and Decision Making 2022;22(1)
    CrossRef
  601. Montgomery K, Chester J, Kopp K. Health Wearables: Ensuring Fairness, Preventing Discrimination, and Promoting Equity in an Emerging Internet-of-Things Environment. Journal of Information Policy 2018;8:34
    CrossRef
  602. Wu P, Zhang R, Zhu X, Liu M. Factors Influencing Continued Usage Behavior on Mobile Health Applications. Healthcare 2022;10(2):208
    CrossRef
  603. Yang S, Bui CN, Park K. Mobile Health Apps for Breast Cancer: Content Analysis and Quality Assessment. JMIR mHealth and uHealth 2023;11:e43522
    CrossRef
  604. . Effects of diet and fitness apps on eating disorder behaviours: qualitative study. BJPsych Open 2021;7(5)
    CrossRef
  605. Geissler J, Buchholz H, Meerson R, Kammerer K, Göster M, Schobel J, Ratz C, Taurines R, Pryss R, Romanos M. Smartphone-based behaviour analysis for challenging behaviour in intellectual and developmental disabilities and autism spectrum disorder – Study protocol for the ProVIA trial. Frontiers in Neuroscience 2022;16
    CrossRef
  606. Ab Mumin N, Yusof ZYM, Marhazlinda J, Obaidellah U. Adolescents’ opinions on the use of a smartphone application as an oral health education tool: A qualitative study. DIGITAL HEALTH 2022;8:205520762211141
    CrossRef
  607. Selvaraj SN, Sriram A. The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model–Based Content Analysis. JMIR mHealth and uHealth 2022;10(5):e15719
    CrossRef
  608. . Theory-Based Social and Non-Social Engagement Features in Smoking Cessation Mobile Apps: A Content Analysis. International Journal of Environmental Research and Public Health 2021;18(17):9106
    CrossRef
  609. Bene BA, Ibeneme S, Fadahunsi KP, Harri BI, Ukor N, Mastellos N, Majeed A, Car J. Regulatory standards and guidance for the use of health applications for self-management in Africa: scoping review protocol. BMJ Open 2022;12(2):e058067
    CrossRef
  610. Diehl TM, Barrett JR, Abbott DE, Cherney Stafford LM, Hanlon BM, Yang Q, Van Doorn R, Weber SM, Voils CI. Protocol for the MobiMD trial: A randomized controlled trial to evaluate the effect of a self-monitoring mobile app on hospital readmissions for complex surgical patients. Contemporary Clinical Trials 2022;113:106658
    CrossRef
  611. Lazard AJ, Babwah Brennen JS, Belina SP. App Designs and Interactive Features to Increase mHealth Adoption: User Expectation Survey and Experiment. JMIR mHealth and uHealth 2021;9(11):e29815
    CrossRef
  612. Ma D, Orner D, Ghaly MM, Parashar B, Ames JW, Chen WC, Potters L, Teckie S. Automated health chats for symptom management of head and neck cancer patients undergoing radiation therapy. Oral Oncology 2021;122:105551
    CrossRef
  613. Fischer T, Stumpf P, Schwarz PEH, Timpel P. Video-based smartphone app (‘VIDEA bewegt’) for physical activity support in German adults: a single-armed observational study. BMJ Open 2022;12(1):e052818
    CrossRef
  614. Nelson LA, Alfonsi SP, Lestourgeon LM, Mayberry LS. Disparities in mobile phone use among adults with type 2 diabetes participating in clinical trials 2017–2021. JAMIA Open 2022;5(4)
    CrossRef
  615. Kairouz S, Costes J, Murch WS, Doray-Demers P, Carrier C, Eroukmanoff V. Enabling New Strategies to Prevent Problematic Online Gambling: A Machine Learning Approach for Identifying At-risk Online Gamblers in France. International Gambling Studies 2023;23(3):471
    CrossRef
  616. Huang G, Sun M, Jiang LC. Core social network size is associated with physical activity participation for fitness app users: The role of social comparison and social support. Computers in Human Behavior 2022;129:107169
    CrossRef
  617. Baggio , Cadore Weis M, da Silva Santos B, Mccabe C, Neill F, Duarte Valim M. Brazilian Mobile Phone Applications Related to Hand Hygiene and Their Applicability for Healthcare Professionals. CIN: Computers, Informatics, Nursing 2022;40(3):208
    CrossRef
  618. Modrzejewska J, Modrzejewska A, Czepczor-Bernat K, Matusik P, Mahmoud AB. The role of body mass index, healthy eating-related apps and educational activities on eating motives and behaviours among women during the COVID-19 pandemic: A cross sectional study. PLOS ONE 2022;17(3):e0266016
    CrossRef
  619. Diehl TM, Barrett JR, Van Doorn R, Cherney Stafford LM, Hanlon BM, Weber SM, Voils CI, Abbott DE. Promoting patient engagement during care transitions after surgery using mobile technology: Lessons learned from the MobiMD pilot study. Surgery 2022;172(1):219
    CrossRef
  620. . Stress and migraine: I know it when I see it. Headache: The Journal of Head and Face Pain 2021;61(8):1153
    CrossRef
  621. Mitali S, Harsh J, Santosh K, Rakesh K. Overview of data security, classification and control measure: a study. i-manager's Journal on Information Technology 2022;11(1):17
    CrossRef
  622. Peter E, Abah E, Oladigbolu K, Samaila E, Garba F, Zubairu A. Ease and willingness to use Smartphone applications for visual acuity assessment among patients in Ahmadu Bello University Teaching Hospital, Zaria. Journal of West African College of Surgeons 2021;11(4):13
    CrossRef
  623. Shen Y, Xu W, Liang A, Wang X, Lu X, Lu Z, Gao C. Online health management continuance and the moderating effect of service type and age difference: A meta-analysis. Health Informatics Journal 2022;28(3):146045822211199
    CrossRef
  624. Rowland S, Ramos AK, Trinidad N, Quintero S, Johnson Beller R, Struwe L, Pozehl B. Feasibility, Usability and Acceptability of a mHealth Intervention to Reduce Cardiovascular Risk in Rural Hispanic Adults: Descriptive Study. JMIR Formative Research 2022;6(12):e40379
    CrossRef
  625. Alzahrani A, Gay V, Alturki R. Exploring Saudi Individuals’ Perspectives and Needs to Design a Hypertension Management Mobile Technology Solution: Qualitative Study. International Journal of Environmental Research and Public Health 2022;19(19):12956
    CrossRef
  626. Gasteiger N, Vercell A, Davies A, Dowding D, Khan N, Davies A. Patient-facing genetic and genomic mobile apps in the UK: a systematic review of content, functionality, and quality. Journal of Community Genetics 2022;13(2):171
    CrossRef
  627. Menon R, Meyer J, Nippak P, Begum H. Smartphone Alcohol Use Disorder Recovery Apps: Cross-sectional Survey of Behavioral Intention to Use. JMIR Human Factors 2022;9(2):e33493
    CrossRef
  628. Lin D, Nazreen T, Rutowski T, Lu Y, Harati A, Shriberg E, Chlebek P, Aratow M. Feasibility of a Machine Learning-Based Smartphone Application in Detecting Depression and Anxiety in a Generally Senior Population. Frontiers in Psychology 2022;13
    CrossRef
  629. Fleddermann K, Molfenter T, Vjorn O, Horst J, Hulsey J, Kelly B, Zawislak K, Gustafson DH, Gicquelais RE. Patient Preferences for Mobile Health Applications to Support Recovery. Journal of Addiction Medicine 2023;17(4):394
    CrossRef
  630. Khazaal Y, Potvin S, Pennou A, Djomo W, Borgeat F, Lecomte T. Des repères pour la conception des apps ?. Santé mentale au Québec 2021;46(1):119
    CrossRef
  631. Gustafson DH, Mares M, Johnston DC, Landucci G, Pe-Romashko K, Vjorn OJ, Hu Y, Gustafson DH, Maus A, Mahoney JE, Mutlu B. Using Smart Displays to Implement an eHealth System for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(5):e37522
    CrossRef
  632. Guo L, Gu L, Peng Y, Gao Y, Mei L, Kang Q, Chen C, Hu Y, Xu W, Chen J. Online media exposure and weight and fitness management app use correlate with disordered eating symptoms: evidence from the mainland of China. Journal of Eating Disorders 2022;10(1)
    CrossRef
  633. Chamorro-de-Vega E, Romero-Jiménez R, Escudero-Vilaplana V, Ais-Larisgoitia A, Lobato Matilla ME, González CM, Menchén L, Baniandrés O, Ibares-Frias L, Lobo-Rodríguez C, Herranz-Alonso A, Sanjurjo M. Information and Communication Technologies in Patients With Immune-Mediated Inflammatory Diseases: Cross-sectional Survey. Journal of Medical Internet Research 2022;24(9):e37445
    CrossRef
  634. Nimmanterdwong Z, Boonviriya S, Tangkijvanich P. Human-Centered Design of Mobile Health Apps for Older Adults: Systematic Review and Narrative Synthesis. JMIR mHealth and uHealth 2022;10(1):e29512
    CrossRef
  635. Maciel NDS, Ferreira DDS, Sousa VTDS, Braga HFGM, Chaves GDS, Sousa LBD. Qualidade de aplicativos móveis sobre prevenção e controle da sífilis. Escola Anna Nery 2022;26
    CrossRef
  636. Jiang S, Zhang L, Teo K. Social Use of Fitness Apps and Physical Activity Knowledge: The Roles of Information Elaboration and Interpersonal Communication. Journal of Broadcasting & Electronic Media 2021;65(4):549
    CrossRef
  637. Kim E, Han S. Determinants of Continuance Intention to Use Health Apps among Users over 60: A Test of Social Cognitive Model. International Journal of Environmental Research and Public Health 2021;18(19):10367
    CrossRef
  638. Horst L, Taczanowska K, Porst F, Arnberger A. Evaluation of GNSS-based Volunteered Geographic Information for assessing visitor spatial distribution within protected areas: A case study of the Bavarian Forest National Park, Germany. Applied Geography 2023;150:102825
    CrossRef
  639. Mahdi S, Buckland NJ, Chilcott J. Economic and health impacts of the Change4Life Food Scanner app: Findings from a randomized pilot and feasibility study. Frontiers in Nutrition 2023;10
    CrossRef
  640. Perkes SJ, Bonevski B, Hall K, Mattes J, Chamberlain C, Bennett J, Whittaker R, Palazzi K, Lambkin D, Kennedy M. Aboriginal and Torres Strait Islander Women’s Access to and Interest in mHealth: National Web-based Cross-sectional Survey. Journal of Medical Internet Research 2023;25:e42660
    CrossRef
  641. Attie E, Meyer-Waarden L. How Do You Sleep? The Impact of Sleep Apps on Generation Z's Well-Being. Journal of Interactive Marketing 2023;58(2-3):222
    CrossRef
  642. Liu C, Wang W, Gao G, Agarwal R. The Virtualization of Experiential Events: Effects on Platform Users. SSRN Electronic Journal 2020;
    CrossRef
  643. Beauchemin MP, DeStephano D, Raghunathan R, Harden E, Accordino M, Hillyer GC, Kahn JM, May BL, Mei B, Rosenblat T, Law C, Elkin EB, Kukafka R, Wright JD, Hershman DL. Implementation of Systematic Financial Screening in an Outpatient Breast Oncology Setting. JCO Clinical Cancer Informatics 2023;(7)
    CrossRef
  644. Santala OE, Lipponen JA, Jäntti H, Rissanen TT, Tarvainen MP, Väliaho E, Rantula OA, Naukkarinen NS, Hartikainen JEK, Martikainen TJ, Halonen J. Novel Technologies in the Detection of Atrial Fibrillation: Review of Literature and Comparison of Different Novel Technologies for Screening of Atrial Fibrillation. Cardiology in Review 2023;Publish Ahead of Print
    CrossRef
  645. Wang W, Su Y, Gao G. Social Determinants of mHealth Effectiveness: Evidence from a Large-Scale Experiment. SSRN Electronic Journal 2018;
    CrossRef
  646. . Exploring Users’ Responses to mHealth Service Failure—The Moderating Role of Service Failure Type. Modern Management 2023;13(04):331
    CrossRef
  647. Aziz M, Erbad A, Belhaouari SB, Ali R. Who Uses Mhealth? User Archetypes for Physical and Mental Health Apps. SSRN Electronic Journal 2022;
    CrossRef
  648. Francis L, Spaulding EM, Bloom I, Patel A, Perrin N. A systematic appraisal of the information, engagement, aesthetic and functional quality of nutrition-related smartphone apps for children and adolescents. Public Health Nutrition 2023;26(7):1368
    CrossRef
  649. AlAli N, AlKhudairy Y, AlSafadi K, Abduljabbar B, Aljerian N, Albeshry AM, Alshahrani NZ. The Usage of Digital Health Mobile-Based Applications among Saudi Population. Healthcare 2023;11(10):1413
    CrossRef
  650. Ha Y, Lee J, Shin K, Moon JH, Kim K. Identification of the Critical Quality Factors for Continuance Intention of Mobile Disease Management Service: Case Study on a Thyroid Disease Management Service. Journal of the Korean Institute of Industrial Engineers 2023;49(2):187
    CrossRef
  651. Lesher A, McDuffie L, Smith T, Foster A, Ruggiero K, Barroso J, Gavrilova Y. Optimizing an Outpatient mHealth Intervention for Children with Burns: A Convergent Mixed-Methods Study. Journal of Burn Care & Research 2023;44(5):1092
    CrossRef
  652. Romito G, Castagna P, Sabetti MC, Ablondi M, Cipone M. Evaluating the accuracy of a six‐lead smartphone‐based electrocardiographic device compared with standard electrocardiography in brachymorphic dogs. Veterinary Record 2023;193(7)
    CrossRef
  653. Rhodes A, Pimprikar A, Baum A, Smith AD, Llewellyn CH. Using the Person-Based Approach to Develop a Digital Intervention Targeting Diet and Physical Activity in Pregnancy: Development Study. JMIR Formative Research 2023;7:e44082
    CrossRef
  654. Ting A, McLachlan C. Dr. Smartphone, can you support my trauma? An informatics analysis study of App Store apps for trauma- and stressor-related disorders. PeerJ 2023;11:e15366
    CrossRef
  655. Lam SU, Xie Q, Goldberg SB. Situating Meditation Apps Within the Ecosystem of Meditation Practice: Population-Based Survey Study. JMIR Mental Health 2023;10:e43565
    CrossRef
  656. Aydin A, Gürsoy A, Karal H. Mobile care app development process: using the ADDIE model to manage symptoms after breast cancer surgery (step 1). Discover Oncology 2023;14(1)
    CrossRef
  657. Kiguba R, Zakumumpa H, Ndagije HB, Mwebaza N, Ssenyonga R, Tregunno P, Harrison K, Pirmohamed M. Facilitators and Barriers to Uptake of the Med Safety Mobile App for Adverse Drug Reaction Reporting by Health Workers in Uganda: A Qualitative Study. Drug Safety 2023;46(6):565
    CrossRef
  658. Delestre F, Debailly R, Galiby L, Hansel B. Determinants of motivation and adherence to a web application for health behaviour change: A qualitative study with cancer survivors. Journal of Human Nutrition and Dietetics 2023;36(5):1701
    CrossRef
  659. Pedersen K, Schlichter BR. Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review. Interactive Journal of Medical Research 2023;12:e40205
    CrossRef
  660. Chen X, Kamavuako EN. Vision-Based Methods for Food and Fluid Intake Monitoring: A Literature Review. Sensors 2023;23(13):6137
    CrossRef
  661. Daud MH, Yusoff FH, Abdul-Razak S, Baharudin N, Mohamed-Yassin M, Badlishah-Sham SF, Nikmat AW, Isa MR, Jamil N, Nawawi H, Ramli AS. Design, development, utility and usability testing of the EMPOWER-SUSTAIN Self-Management Mobile App© among primary care physicians and patients with metabolic syndrome. DIGITAL HEALTH 2023;9:205520762311766
    CrossRef
  662. Liu C, Wang W, Gao G, Agarwal R. The Value of Virtual Engagement: Evidence from a Running Platform. Management Science 2023;
    CrossRef
  663. Gould MJ, Lin C, Walsh CM. A Systematic Assessment of the Quality of Smartphone Applications for Gastroesophageal Reflux Disease. Gastro Hep Advances 2023;2(5):733
    CrossRef
  664. Ramaswamy S, Gilles N, Gruessner AC, Burton D, Fraser MA, Weingast S, Kunnakkat S, Afable A, Kaufman D, Singer J, Balucani C, Levine SR. User-Centered Mobile Applications for Stroke Survivors (MAPPS): A Mixed-Methods Study of Patient Preferences. Archives of Physical Medicine and Rehabilitation 2023;104(10):1573
    CrossRef
  665. Gioia S, Vlasac IM, Babazadeh D, Fryou NL, Do E, Love J, Robbins R, Dashti HS, Lane JM. Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research. JMIR Formative Research 2023;7:e35858
    CrossRef
  666. . On the body of the consumer: performance‐seeking with wearables and health and fitness apps. Sociology of Health & Illness 2019;41(6):991
    CrossRef
  667. Hailiye Teferi G, Tadele MM, Tizazu G, Hordofa ZR, Shimie AW, Assaye BT, Senishaw AF, Tizie SB, Al-Worafi YM. Utilization of mobile health applications and determinant factors among health science students at Debre Markos University, northwest Ethiopia in 2022. PLOS ONE 2023;18(7):e0275689
    CrossRef
  668. . Increasing mobile health application usage among Generation Z members: evidence from the UTAUT model. International Journal of Pharmaceutical and Healthcare Marketing 2023;17(3):353
    CrossRef
  669. Moulaei K, Bahaadinbeigy K, Mashoof E, Dinari F. Design and development of a mobile-based self-care application for patients with depression and anxiety disorders. BMC Medical Informatics and Decision Making 2023;23(1)
    CrossRef
  670. Lee PH, Marek J, Nálevka P. Sleep pattern of Hong Kong residents during the 2019 anti-extradition bill controversy. Current Psychology 2024;43(8):7246
    CrossRef
  671. Mendez KJW, Labrique AB, Budhathoki C, Sadak T, Tanner EK, Cotter VT, Han H. Use of mobile applications and health technologies among dementia caregivers with chronic conditions: A cross-sectional study. DIGITAL HEALTH 2023;9
    CrossRef
  672. Borst F, Reuss-Borst M, Boschmann J, Schwarz P, König LM. Can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–A pilot-study. PLOS Digital Health 2023;2(10):e0000359
    CrossRef
  673. Aminorroaya A, Dhingra LS, Nargesi AA, Oikonomou EK, Krumholz HM, Khera R. Use of Smart Devices to Track Cardiovascular Health Goals in the United States. JACC: Advances 2023;2(7):100544
    CrossRef
  674. Valla L, Haga SM, Garthus-Niegel S, Drozd F. Dropout or Drop-In Experiences in an Internet-Delivered Intervention to Prevent Depression and Enhance Subjective Well-Being During the Perinatal Period: Qualitative Study. JMIR Pediatrics and Parenting 2023;6:e46982
    CrossRef
  675. Chahal R, Gupta M, Garg T, Gupta A, Lehl SS. Patients’ Perception on Utilization of Smartphone Health App for Self-Management of Diabetes. Apollo Medicine 2023;20(4):346
    CrossRef
  676. Xie Z, Or CK. Consumers’ Preferences for Purchasing mHealth Apps: Discrete Choice Experiment. JMIR mHealth and uHealth 2023;11:e25908
    CrossRef
  677. Karia J, Mohamed R, Petrushkin H. Patient-targeted mobile applications in healthcare. British Journal of Hospital Medicine 2023;84(8):1
    CrossRef
  678. . Digital Platform Complementors and the Number of Product Features: Evidence from the Apple iOS App Store. British Journal of Management 2024;35(2):854
    CrossRef
  679. Meyer-Waarden L, Cloarec J, Adams C, Aliman DN, Wirth V. Home, sweet home: How well-being shapes the adoption of artificial intelligence-powered apartments in smart cities. Systèmes d'information & management 2022;Volume 26(4):55
    CrossRef
  680. Kim HS, Lee D, Kim KN, Kim SM, Park Y. Factors associated with the download and use of mobile personal health record applications in Korean hospitals. Health Informatics Journal 2023;29(3)
    CrossRef
  681. An Q, Kelley MM, Hanners A, Yen P. Sustainable Development for Mobile Health Apps Using the Human-Centered Design Process. JMIR Formative Research 2023;7:e45694
    CrossRef
  682. Patel KS, Corbett CF, Combs EM, Donevant SB, Selph MJ, Gibson LM, Dawson RM, Sheth AP, Hughes RG. Perceptions of COVID-19 and the Use of Health Information Technology Among People Who Are Uninsured: Multimethod Survey Study. JMIR Formative Research 2023;7:e45349
    CrossRef
  683. Moscardini EH, Le TP, Cowan T, Gerner J, Robinson A, Cohen AS, Tucker RP. Frequency and predictors of virtual hope box use in individuals experiencing suicidal ideation: An ecological momentary assessment investigation. Suicide and Life-Threatening Behavior 2024;54(1):61
    CrossRef
  684. Hassani M, Young SD. An Evaluation of the User Experience and Privacy Concerns of Individuals Misusing Opioids Using a Location Tracking Mobile Application. Substance Use & Misuse 2024;59(3):336
    CrossRef
  685. Weber SJ, Mulvaney SA, Faiola A, Brown M, Koyama T, Sun L, Goggans SL, Hull PC. Commercially Available Mobile Apps With Family Behavioral Goal Setting and Tracking for Parents: Review and Quality Evaluation. JMIR Pediatrics and Parenting 2023;6:e41779
    CrossRef
  686. Huffman JC, Healy BC, Jacobson L, Harnedy LE, Bell M, Carrillo A, Celano CM. Development and testing of an adaptive text message intervention to promote psychological well-being and reduce cardiac risk: Methods and process-related outcomes of the Text4Health controlled clinical pilot trial. Current Psychology 2024;43(13):11714
    CrossRef
  687. Lipschitz JM, Pike CK, Hogan TP, Murphy SA, Burdick KE. The Engagement Problem: a Review of Engagement with Digital Mental Health Interventions and Recommendations for a Path Forward. Current Treatment Options in Psychiatry 2023;10(3):119
    CrossRef
  688. Llico AF, Shanley SN, Friedman AD, Bamford LM, Roberts RM, McKenna VS. Comparison Between Custom Smartphone Acoustic Processing Algorithms and Praat in Healthy and Disordered Voices. Journal of Voice 2023;
    CrossRef
  689. Mora N, Arvanitakis Z, Thomas M, Kramer H, Morrato EH, Markossian TW. Applying Customer Discovery Method to a Chronic Disease Self-Management Mobile App: Qualitative Study. JMIR Formative Research 2023;7:e50334
    CrossRef
  690. Huwa J, Tweya H, Mureithi M, Kiruthu-Kamamia C, Oni F, Chintedza J, Chiwaya G, Waweru E, Kudzala A, Wasunna B, Ndhlovu D, Bisani P, Feldacker C, Dulli LS. “It reminds me and motivates me”: Human-centered design and implementation of an interactive, SMS-based digital intervention to improve early retention on antiretroviral therapy: Usability and acceptability among new initiates in a high-volume, public clinic in Malawi. PLOS ONE 2023;18(7):e0278806
    CrossRef
  691. Wasserman S, Ould Brahim L, Attiya A, Belzile E, Lambert SD. An Evaluation of Interactive mHealth Applications for Adults Living with Cancer. Current Oncology 2023;30(8):7151
    CrossRef
  692. Bo Y, Liu QB, Tong Y. The Effects of Adopting Mobile Health and Fitness Apps on Hospital Visits: Quasi-Experimental Study. Journal of Medical Internet Research 2023;25:e45681
    CrossRef
  693. Edwards KM, Perez-Brena NJ, Wheeler LA, Guerrero-Ortiz E. Preventing Gender-Based Violence Among Latino Boys Using a Culturally Grounded, Gender Transformative Approach: A Review of the Literature and Call to Action. Violence and Gender 2023;10(3):107
    CrossRef
  694. Zaytoun RAH, Abdellatif MA, Abdel Hady AF. A comparative study of perspectives on telepractice service delivery among Egyptian and U.S. Speech and Language Pathologists. Speech, Language and Hearing 2023;26(3):214
    CrossRef
  695. Diano F, Sica LS, Ponticorvo M. Empower Psychotherapy with mHealth Apps: The Design of “Safer”, an Emotion Regulation Application. Information 2023;14(6):308
    CrossRef
  696. Dittrich F, Albrecht U. „Secure app usage“ – Bewertungsmaßstäbe für klinische Applikationen. Die Orthopädie 2023;52(7):552
    CrossRef
  697. AlSayegh LA, Al-Mustafa MS, Alali AH, Farhan MF, AlShamlan NA, AlOmar RS. Association between fitness tracker use, physical activity, and general health of adolescents in Eastern Province of Saudi Arabia. Journal of Family and Community Medicine 2023;30(4):251
    CrossRef
  698. Inchusri T, Surangsrirat D, Kwanmuang P, Poomivanichakij P, Apiwatgaroon P, Ongprakobkul S, Kongchu A, Klinpikul A, Taneeheng A, Pruphetkaew N, Thongseiratch T, Ngamchaliew P, Vichitkunakorn P. Association of Generation and Group Size With the Usage of a Mobile Health App in Thailand: Secondary Analysis of the ThaiSook Cohort Study. Journal of Medical Internet Research 2023;25:e45374
    CrossRef
  699. Lin F, Lu X, Ai W, Li H, Ma Y, Yang Y, Deng H, Wang Q, Mei Q, Liu X. Adoption of Recurrent Innovations: A Large-Scale Case Study on Mobile App Updates. ACM Transactions on the Web 2024;18(1):1
    CrossRef
  700. Abdul Khalil NM, Mohd Mydin FH, Moy FM, Diviani N. Healthy adults’ views and experiences on behavior change strategies in mobile applications for diet monitoring: A single centre qualitative study. PLOS ONE 2023;18(11):e0292390
    CrossRef
  701. Yeon P, Kim I, Kang S, Lee N, Kim G, Shim H, Chung C, Lee J, Jeon J, Shin W. Effects of Mobile-Based Forest-Therapy Programs Using Urban Forests for Symptoms of Depressed Patients. Healthcare 2023;11(23):3039
    CrossRef
  702. Landesberger V, Grenzebach K, Schreiber F, Nowak D, Gröger M, Oppel E, Schaub B, French LE, Kutzora S, Quartucci C, Herr C, Heinze S. Conception and pilot testing of a self-management health application for patients with pollen-related allergic rhinitis and allergic asthma-the APOLLO app. Scientific Reports 2023;13(1)
    CrossRef
  703. Praha N, Sriyuktasuth A, Puwarawuttipanit W, Chuengsaman P, Kusakunniran W. Factors Influencing Telehealth Service Use and Health Outcomes in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e48623
    CrossRef
  704. Park SY, Yourell J, McAlister KL, Huberty J. Exploring Generation Z and Young Millennials’ Perspectives of a Spiritual Self-Care App and Their Spiritual Identity (Skylight): Qualitative Semistructured Interview Study. JMIR Formative Research 2023;7:e54284
    CrossRef
  705. Southcott E, Jooste J. Unveiling the Impact of Mobile Fitness Applications on Motivational Orientation in Sustaining Exercise Behaviors: A Qualitative Investigation. Physical Culture and Sport. Studies and Research 2024;103(1):1
    CrossRef
  706. Liapis I, Gammie A, Mohamed‐Ahmed R, Yates D, Selai C, Cotterill N, Rantell A, Toozs‐Hobson P. Can we increase the value of data from bladder diaries? International Consultation on Incontinence—Research Society 2023. Neurourology and Urodynamics 2023;
    CrossRef
  707. Linardon J, Torous J, Firth J, Cuijpers P, Messer M, Fuller‐Tyszkiewicz M. Current evidence on the efficacy of mental health smartphone apps for symptoms of depression and anxiety. A meta‐analysis of 176 randomized controlled trials. World Psychiatry 2024;23(1):139
    CrossRef
  708. Golbus JR, Jeganathan VSE, Stevens R, Ekechukwu W, Farhan Z, Contreras R, Rao N, Trumpower B, Basu T, Luff E, Skolarus LE, Newman MW, Nallamothu BK, Dorsch MP. A Physical Activity and Diet Just‐in‐Time Adaptive Intervention to Reduce Blood Pressure: The myBPmyLife Study Rationale and Design. Journal of the American Heart Association 2024;13(2)
    CrossRef
  709. Ipsen JA, Sandal LF, Chang NHS, Schiøttz-Christensen B, Søgaard K, Hansen A. Interest in mHealth Among Patients With Low Back Pain: Cross-Sectional Study. JMIR Human Factors 2024;11:e48729
    CrossRef
  710. Alamoudi D, Nabney I, Crawley E. Evaluating the Effectiveness of the SleepTracker App for Detecting Anxiety- and Depression-Related Sleep Disturbances. Sensors 2024;24(3):722
    CrossRef
  711. Fan S, Jain RC, Kankanhalli MS. A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications. ACM Transactions on Computing for Healthcare 2024;5(1):1
    CrossRef
  712. Chen Z, Siegel LN, Prutzman YM, Wiseman KP. Characterizing perceived usability and its correlation with smoking cessation: An analysis of user assessments of the smoking cessation app quitSTART. Internet Interventions 2024;35:100714
    CrossRef
  713. Vasconcelos JM, Viana YG, Duarte NP, Polese JC. Translation and cross-cultural adaptation into Portuguese-Brazil of NuHISS, Enlight, and uMARS. Journal of Bodywork and Movement Therapies 2024;38:437
    CrossRef
  714. Chang J, Mai Y, Zhang D, Yang X, Li A, Yan W, Wu Y, Chen J. Media Use Behavior Mediates the Association Between Family Health and Intention to Use Mobile Health Devices Among Older Adults: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e50012
    CrossRef
  715. Alhammad N, Alajlani M, Abd-alrazaq A, Epiphaniou G, Arvanitis T. A systematic review of patients’ perspectives on data confidentiality, privacy, and security of mobile health applications (Preprint). Journal of Medical Internet Research 2023;
    CrossRef
  716. Tacke T, Nohl-Deryk P, Lingwal N, Reimer LM, Starnecker F, Güthlin C, Gerlach FM, Schunkert H, Jonas S, Müller A. The German version of the mHealth App Usability Questionnaire (GER-MAUQ): Translation and validation study in patients with cardiovascular disease. DIGITAL HEALTH 2024;10
    CrossRef
  717. Hironaka J, Okada H, Minamida M, Kondo Y, Nakajima H, Majima S, Kitagawa N, Okamura T, Senmaru T, Ushigome E, Nakanishi N, Hamada K, Nojiri T, Hamaguchi M, Fukui M. Impact of an online nutrition management application service on glycaemic management in individuals with diabetes: A propensity‐score‐matched retrospective cohort study. Diabetes, Obesity and Metabolism 2024;26(5):1757
    CrossRef
  718. Safeer V S M, Gupta P, Behl S, Bansal D, Sahu JK. Mobile health applications for epilepsy in Indian app stores: A systematic review and content analysis using the mobile app rating scale. Epilepsy Research 2024;201:107331
    CrossRef
  719. S AK, Bali S, Pakhare AP, Khadanga S. Feasibility of Self-Management of Hypertension and Diabetes Using Patient-Generated Health Data Through M-health in Central India. Cureus 2024;
    CrossRef
  720. Andino AA, Koehler J, Rahman M. Emerging Connection of the Mental Health and Well-Being Axis with Digital Technology: A Quantitative and Qualitative Study. Journal of Technology in Behavioral Science 2024;
    CrossRef
  721. Turnbull SL, Dack C, Lei J, Aksu I, Grant S, Lasseter G, Silarova B, Ainsworth B. Barriers and facilitators to use of digital health tools by healthcare practitioners and their patients, before and during the COVID-19 pandemic: a multimethods study. BMJ Open 2024;14(3):e080055
    CrossRef
  722. Yoon S, Tang H, Tan CM, Phang JK, Kwan YH, Low LL. Acceptability of Mobile App–Based Motivational Interviewing and Preferences for App Features to Support Self-Management in Patients With Type 2 Diabetes: Qualitative Study. JMIR Diabetes 2024;9:e48310
    CrossRef
  723. Silveira MS, Neves VR, Ferreira A, Roriz PIL, Silva DFDS, Skrapec MVC, Viana KWC, Schwingel PA. Reabilitação multiprofissional, cardiopulmonar e utilização de tecnologia mobile health na síndrome Pós- Covid-19. Cuadernos de Educación y Desarrollo 2024;16(2):e3508
    CrossRef
  724. Toïgo M, Marc J, Hayot M, Moulis L, Carbonnel F. Quality Assessment of Smartphone Medication Management Apps in France: Systematic Search. JMIR mHealth and uHealth 2024;12:e54866
    CrossRef
  725. Chen S, Tang J, Wu C, Zhang G, Zhang J, Liao Y. Preliminary Efficacy of a Cognitive Behavioral Therapy–Based Smartphone App for Smoking Cessation in China: Randomized Controlled Pilot Trial. JMIR Formative Research 2024;8:e48050
    CrossRef
  726. Wang J, Zhu Z, Zhang S, Fan J, Jin Y, Gao Z, Chen W, Li X. Effectiveness of mHealth App-Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-analysis (Preprint). JMIR mHealth and uHealth 2023;
    CrossRef
  727. Wiest IC, Sicorello M, Yesmembetov K, Ebert MP, Teufel A. Usage Behaviour and Adoption Criteria for Mobile Health Solutions in Patients with Chronic Diseases in Gastroenterology. Visceral Medicine 2024;40(2):61
    CrossRef
  728. An J, Fan W, Mittal A, Zhang Y, Chen AT. Mobile App Use among Persons with Fibromyalgia: A Cross-Sectional Survey. The Journal of Pain 2024;
    CrossRef
  729. DiFilippo KN, Chapman-Novakofski KM. Mobile Apps for Hypertension Management. Topics in Clinical Nutrition 2024;39(2):147
    CrossRef
  730. Torun C, Sarmis A, Oguz A. Is ChatGPT an Accurate and Reliable Source of Information for Patients with Vaccine and Statin Hesitancy?. Medeniyet Medical Journal 2024;
    CrossRef
  731. Wong AKC, Bayuo J, Wong FKY, Chow KKS, Wong SM, Wong BB, Law KHY. Experiences of receiving an mHealth application with proactive nursing support among community-dwelling older adults: a mixed-methods study. BMC Nursing 2024;23(1)
    CrossRef
  732. Oesterle TS, Hall-Flavin DK, Bormann NL, Loukianova LL, Fipps DC, Breitinger SA, Gilliam WP, Wu T, Correa da Costa S, Arndt S, Karpyak VM. Therapeutic Content of Mobile Phone Applications for Substance Use Disorders: An Umbrella Review. Mayo Clinic Proceedings: Digital Health 2024;2(2):192
    CrossRef

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  1. . Nutrition, Fitness, and Mindfulness. 2020. Chapter 16:225
    CrossRef
  2. . eHealth: Current Evidence, Promises, Perils and Future Directions. 2018. :123
    CrossRef
  3. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara CA, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. 2018. Chapter 2:21
    CrossRef
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    CrossRef
  5. Findeis A, Patyk M. Creating a Lifestyle Medicine Center. 2020. Chapter 14:145
    CrossRef
  6. . Design and Quality Considerations for Developing Mobile Apps for Medication Management. 2021. chapter 6:135
    CrossRef
  7. Lake E, Bramble JCT, Greenberg H, Shipman JP, Marcus RL, Wasden CL, Jones KB. Strategic Collaborations in Health Sciences Libraries. 2019. :139
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    CrossRef
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    CrossRef
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  12. Dodson J, Thang J, Preux NS, Frye C, Ly L, Murrieta J, Sun L, Eikey EV. Information in Contemporary Society. 2019. Chapter 20:213
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    CrossRef
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    CrossRef
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    CrossRef
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    CrossRef
  20. Valentim Pereira GF, Pires IM, Marques G, Garcia NM, Zdravevski E, Lameski P, Flórez-Revuelta F, Spinsante S. Internet of Things and Big Data Applications. 2020. Chapter 7:107
    CrossRef
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    CrossRef
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    CrossRef
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    CrossRef
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    CrossRef
  25. Cerrato P, Halamka J. The Transformative Power of Mobile Medicine. 2019. :41
    CrossRef
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    CrossRef
  27. Pan A, Zhao F. Human-Computer Interaction. Interaction in Context. 2018. Chapter 14:173
    CrossRef
  28. Duus R, Cooray M, Page N. Creating Marketing Magic and Innovative Future Marketing Trends. 2017. Chapter 62:315
    CrossRef
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    CrossRef
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