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Published on 26.02.15 in Vol 3, No 1 (2015): Jan-Mar

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

Works citing "Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.3335):

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

  1. Volkova E, Michie J, Corrigan C, Sundborn G, Eyles H, Jiang Y, Mhurchu CN. Effectiveness of recruitment to a smartphone-delivered nutrition intervention in New Zealand: analysis of a randomised controlled trial. BMJ Open 2017;7(6):e016198
    CrossRef
  2. Srikesavan C, Bryer C, Ali U, Williamson E. Web-based rehabilitation interventions for people with rheumatoid arthritis: A systematic review. Journal of Telemedicine and Telecare 2019;25(5):263
    CrossRef
  3. Badawy SM, Cronin RM, Hankins J, Crosby L, DeBaun M, Thompson AA, Shah N. Patient-Centered eHealth Interventions for Children, Adolescents, and Adults With Sickle Cell Disease: Systematic Review. Journal of Medical Internet Research 2018;20(7):e10940
    CrossRef
  4. Schoeppe S, Alley S, Rebar AL, Hayman M, Bray NA, Van Lippevelde W, Gnam J, Bachert P, Direito A, Vandelanotte C. Apps to improve diet, physical activity and sedentary behaviour in children and adolescents: a review of quality, features and behaviour change techniques. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1)
    CrossRef
  5. Kannan V, Basit MA, Bajaj P, Carrington AR, Donahue IB, Flahaven EL, Medford R, Melaku T, Moran BA, Saldana LE, Willett DL, Youngblood JE, Toomay SM. User stories as lightweight requirements for agile clinical decision support development. Journal of the American Medical Informatics Association 2019;26(11):1344
    CrossRef
  6. Gonzalez-Sanchez J, Recio-Rodriguez JI, Fernandez-delRio A, Sanchez-Perez A, Magdalena-Belio JF, Gomez-Marcos MA, Garcia-Ortiz L. Using a smartphone app in changing cardiovascular risk factors: A randomized controlled trial (EVIDENT II study). International Journal of Medical Informatics 2019;125:13
    CrossRef
  7. Balán IC, Lopez-Rios J, Nayak S, Lentz C, Arumugam S, Kutner B, Dolezal C, Macar OU, Pabari T, Wang Ying A, Okrah M, Sia SK. SMARTtest: A Smartphone App to Facilitate HIV and Syphilis Self- and Partner-Testing, Interpretation of Results, and Linkage to Care. AIDS and Behavior 2020;24(5):1560
    CrossRef
  8. 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
    CrossRef
  9. Brown HM, Bucher T, Collins CE, Rollo ME. A review of pregnancy iPhone apps assessing their quality, inclusion of behaviour change techniques, and nutrition information. Maternal & Child Nutrition 2019;15(3)
    CrossRef
  10. Goodday SM, Atkinson L, Goodwin G, Saunders K, South M, Mackay C, Denis M, Hinds C, Attenburrow M, Davies J, Welch J, Stevens W, Mansfield K, Suvilehto J, Geddes J. The True Colours Remote Symptom Monitoring System: A Decade of Evolution. Journal of Medical Internet Research 2020;22(1):e15188
    CrossRef
  11. Kim JY, Wineinger NE, Steinhubl SR. The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e116
    CrossRef
  12. 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
  13. Padilla VL, Rustad JK, Harvey PD, Wasserman B, Ziemer D, Musselman DL. Neurocognitive impairment in patients with comorbid diabetes mellitus and depression. Personalized Medicine in Psychiatry 2017;1-2:2
    CrossRef
  14. Reynolds R, Sutherland R, Nathan N, Janssen L, Lecathelinais C, Reilly K, Walton A, Wolfenden L. Feasibility and principal acceptability of school‐based mobile communication applications to disseminate healthy lunchbox messages to parents. Health Promotion Journal of Australia 2019;30(1):108
    CrossRef
  15. Lazzara EH, Baker AL, Abts N, Nathan-Roberts D, Ranton J, Fouquet S, Chaparro B. Going Mobile: Guiding the Development of Safer and More Effective Mobile Access in Healthcare. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2017;61(1):578
    CrossRef
  16. Hekler EB, Rivera DE, Martin CA, Phatak SS, Freigoun MT, Korinek E, Klasnja P, Adams MA, Buman MP. Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions. Journal of Medical Internet Research 2018;20(6):e214
    CrossRef
  17. Clarke J, Draper S. Intermittent mindfulness practice can be beneficial, and daily practice can be harmful. An in depth, mixed methods study of the “Calm” app's (mostly positive) effects. Internet Interventions 2020;19:100293
    CrossRef
  18. Smith R, Menon J, Rajeev JG, Feinberg L, Kumar RK, Banerjee A. Potential for the use of mHealth in the management of cardiovascular disease in Kerala: a qualitative study. BMJ Open 2015;5(11):e009367
    CrossRef
  19. Wang Q, Egelandsdal B, Amdam GV, Almli VL, Oostindjer M. Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR mHealth and uHealth 2016;4(2):e33
    CrossRef
  20. Mummah SA, Robinson TN, King AC, Gardner CD, Sutton S. IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior. Journal of Medical Internet Research 2016;18(12):e317
    CrossRef
  21. Zamberg I, Windisch O, Agoritsas T, Nendaz M, Savoldelli G, Schiffer E. A Mobile Medical Knowledge Dissemination Platform (HeadToToe): Mixed Methods Study. JMIR Medical Education 2020;6(1):e17729
    CrossRef
  22. Aguirre PEA, Lotto M, Strieder AP, Cruvinel AFP, Cruvinel T. The Effectiveness of Educational Mobile Messages for Assisting in the Prevention of Early Childhood Caries: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(9):e13656
    CrossRef
  23. 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
  24. Singh K, Drouin K, Newmark LP, Filkins M, Silvers E, Bain PA, Zulman DM, Lee J, Rozenblum R, Pabo E, Landman A, Klinger EV, Bates DW. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 2016;4(4):e136
    CrossRef
  25. Baglione AN, Gong J, Boukhechba M, Wells KJ, Barnes LE. Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence. IEEE Pervasive Computing 2020;19(3):24
    CrossRef
  26. Schoeppe S, Alley S, Van Lippevelde W, Bray NA, Williams SL, Duncan MJ, Vandelanotte C. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
    CrossRef
  27. Castellano-Tejedor C, Moreno J, Knittle K, Nurmi J, Ginchev T, Parramón G, Ciudin A, Ramos-Quiroga JA, Lusilla-Palacios P. Assessing the user experience and usability of the PRECIOUS system: a randomized controlled trial in obese patients. Informatics for Health and Social Care 2020;45(4):410
    CrossRef
  28. Ju A, Scholes-Robertson N, Johnson DW, Cho Y, van Zwieten A, Manera K, Howell M, Viecelli AK, Jesudason S, Evangelidis N, Polkinghorne K, Gutman T, Wyburn K, Craig JC, Tong A, Charalambous A, Beach B, Larkin B, Beach C, Clive C, Dingle D, Thomas D, Blake D, Baker D, Underwood D, McLaren D, Demagante F, Jennings G, Jeff H, Mewburn I, Wooldridge J, Ellis J, Widders K, Young K, McLaren K, Yew K, Ellis M, Blake M, Scholes-Robertson N, Grant P, Kennedy P, Walter P, Yew P, Jeff R, Wooldridge W. Patient-led identification and prioritization of exercise interventions for fatigue on dialysis: a workshop report. Clinical Kidney Journal 2021;14(3):831
    CrossRef
  29. Lowres N, Duckworth A, Redfern J, Thiagalingam A, Chow CK. Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study. JMIR mHealth and uHealth 2020;8(6):e19200
    CrossRef
  30. Dedov VN, Dedova IV. Automated Management of Exercise Intervention at the Point of Care: Application of a Web-Based Leg Training System. JMIR Rehabilitation and Assistive Technologies 2015;2(2):e11
    CrossRef
  31. Gilljam B, Nygren JM, Svedberg P, Arvidsson S. Impact of an Electronic Health Service on Child Participation in Pediatric Oncology Care: Quasiexperimental Study. Journal of Medical Internet Research 2020;22(7):e17673
    CrossRef
  32. McKay FH, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):22
    CrossRef
  33. Stragier J, Vandewiele G, Coppens P, Ongenae F, Van den Broeck W, De Turck F, De Marez L. Data Mining in the Development of Mobile Health Apps: Assessing In-App Navigation Through Markov Chain Analysis. Journal of Medical Internet Research 2019;21(6):e11934
    CrossRef
  34. Schumer H, Amadi C, Joshi A. Evaluating the Dietary and Nutritional Apps in the Google Play Store. Healthcare Informatics Research 2018;24(1):38
    CrossRef
  35. Simmons RG, Shattuck DC, Jennings VH. Assessing the Efficacy of an App-Based Method of Family Planning: The Dot Study Protocol. JMIR Research Protocols 2017;6(1):e5
    CrossRef
  36. Rincon E, Monteiro-Guerra F, Rivera-Romero O, Dorronzoro-Zubiete E, Sanchez-Bocanegra CL, Gabarron E. Mobile Phone Apps for Quality of Life and Well-Being Assessment in Breast and Prostate Cancer Patients: Systematic Review. JMIR mHealth and uHealth 2017;5(12):e187
    CrossRef
  37. Bernard S, Boucher S, McLean L, Moffet H. Mobile technologies for the conservative self-management of urinary incontinence: a systematic scoping review. International Urogynecology Journal 2020;31(6):1163
    CrossRef
  38. Guo Y, Bian J, Leavitt T, Vincent HK, Vander Zalm L, Teurlings TL, Smith MD, Modave F. Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument. Journal of Medical Internet Research 2017;19(3):e67
    CrossRef
  39. Choi W, Wang S, Lee Y, Oh H, Zheng Z. A systematic review of mobile health technologies to support self-management of concurrent diabetes and hypertension. Journal of the American Medical Informatics Association 2020;27(6):939
    CrossRef
  40. Arheiam A, Albadri S, Brown S, Burnside G, Higham S, Harris R. Are diet diaries of value in recording dietary intake of sugars? A retrospective analysis of completion rates and information quality. British Dental Journal 2016;221(9):571
    CrossRef
  41. 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
  42. Wills AM, Garry J, Hubbard J, Mezoian T, Breen CT, Ortiz-Miller C, Nalipinski P, Sullivan S, Berry JD, Cudkowicz M, Paganoni S, Chan J, Macklin EA. Nutritional counseling with or without mobile health technology: a randomized open-label standard-of-care-controlled trial in ALS. BMC Neurology 2019;19(1)
    CrossRef
  43. Weber S, Lorenz C, Hemmings N. Improving Stress and Positive Mental Health at Work via an App-Based Intervention: A Large-Scale Multi-Center Randomized Control Trial. Frontiers in Psychology 2019;10
    CrossRef
  44. Thornton L, Kay-Lambkin F, Tebbutt B, Hanstock TL, Baker AL. A Mobile Phone–Based Healthy Lifestyle Monitoring Tool for People With Mental Health Problems (MyHealthPA): Development and Pilot Testing. JMIR Cardio 2018;2(2):e10228
    CrossRef
  45. Ahmadiankalati M, Steins-Loeber S, Paslakis G. Review of Randomized Controlled Trials Using e-Health Interventions for Patients With Eating Disorders. Frontiers in Psychiatry 2020;11
    CrossRef
  46. Patrick K, Hekler EB, Estrin D, Mohr DC, Riper H, Crane D, Godino J, Riley WT. The Pace of Technologic Change. American Journal of Preventive Medicine 2016;51(5):816
    CrossRef
  47. Lee RA, Jung ME. Evaluation of an mHealth App (DeStressify) on University Students’ Mental Health: Pilot Trial. JMIR Mental Health 2018;5(1):e2
    CrossRef
  48. Rutsch M, Jochems N, Schrader A, Brandes I, Weier L, Deck R. ReNaApp: increasing the long-term effects of oncological rehabilitation through an application after medical rehabilitation (ReNaApp): a quasi-randomized longitudinal study of prospective design. BMC Health Services Research 2020;20(1)
    CrossRef
  49. Haddad H, de Nazelle A. The role of personal air pollution sensors and smartphone technology in changing travel behaviour. Journal of Transport & Health 2018;11:230
    CrossRef
  50. Covolo L, Ceretti E, Moneda M, Castaldi S, Gelatti U. Does evidence support the use of mobile phone apps as a driver for promoting healthy lifestyles from a public health perspective? A systematic review of Randomized Control Trials. Patient Education and Counseling 2017;100(12):2231
    CrossRef
  51. Setoguchi M, Motruk S, Frank V, Kessler D. A review of mobile applications to enhance coaching in occupational therapy. British Journal of Occupational Therapy 2020;83(9):549
    CrossRef
  52. Dutheil F, Duclos M, Naughton G, Dewavrin S, Cornet T, Huguet P, Chatard J, Pereira B. WittyFit—Live Your Work Differently: Study Protocol for a Workplace-Delivered Health Promotion. JMIR Research Protocols 2017;6(4):e58
    CrossRef
  53. Lee SH, Nurmatov UB, Nwaru BI, Mukherjee M, Grant L, Pagliari C. Effectiveness of mHealth interventions for maternal, newborn and child health in low– and middle–income countries: Systematic review and meta–analysis. Journal of Global Health 2016;6(1)
    CrossRef
  54. Ferranti D, Lorenzo D, Munoz‐Rojas D, Gonzalez‐Guarda RM. Health education needs of intimate partner violence survivors: Perspectives from female survivors and social service providers. Public Health Nursing 2018;35(2):118
    CrossRef
  55. Danielsson A, Lundin A, Andréasson S. Using mobile phone technology to treat alcohol use disorder: study protocol for a randomized controlled trial. Trials 2018;19(1)
    CrossRef
  56. Willcox JC, Dobson R, Whittaker R. Old-Fashioned Technology in the Era of “Bling”: Is There a Future for Text Messaging in Health Care?. Journal of Medical Internet Research 2019;21(12):e16630
    CrossRef
  57. Rieger A, Gaines A, Barnett I, Baldassano CF, Connolly Gibbons MB, Crits-Christoph P. Psychiatry Outpatients’ Willingness to Share Social Media Posts and Smartphone Data for Research and Clinical Purposes: Survey Study. JMIR Formative Research 2019;3(3):e14329
    CrossRef
  58. Burnett-Zeigler IE, Waldron EM, Hong S, Yang A, Wisner KL, Ciolino JD. Accessibility and feasibility of using technology to support mindfulness practice, reduce stress and promote long term mental health. Complementary Therapies in Clinical Practice 2018;33:93
    CrossRef
  59. Jallo N, Thacker LR, Menzies V, Stojanovic P, Svikis DS. A Stress Coping App for Hospitalized Pregnant Women at Risk for Preterm Birth. MCN: The American Journal of Maternal/Child Nursing 2017;42(5):257
    CrossRef
  60. Knight E, Stuckey MI, Prapavessis H, Petrella RJ. Public Health Guidelines for Physical Activity: Is There an App for That? A Review of Android and Apple App Stores. JMIR mHealth and uHealth 2015;3(2):e43
    CrossRef
  61. . On Digital Therapeutics. Frontiers in Digital Humanities 2015;2
    CrossRef
  62. Lang M, Mayr M, Ringbauer S, Cepek L. PatientConcept App: Key Characteristics, Implementation, and its Potential Benefit. Neurology and Therapy 2019;8(1):147
    CrossRef
  63. Harrison J, Baker M. Attitudes of dual diagnosis service users to mobile apps that aid treatment adherence. Mental Health Practice 2018;21(10):29
    CrossRef
  64. Miralles I, Granell C, Díaz-Sanahuja L, Van Woensel W, Bretón-López J, Mira A, Castilla D, Casteleyn S. Smartphone Apps for the Treatment of Mental Disorders: Systematic Review. JMIR mHealth and uHealth 2020;8(4):e14897
    CrossRef
  65. 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
  66. Petrenko CL, Parr J, Kautz C, Tapparello C, Olson HC. A Mobile Health Intervention for Fetal Alcohol Spectrum Disorders (Families Moving Forward Connect): Development and Qualitative Evaluation of Design and Functionalities. JMIR mHealth and uHealth 2020;8(4):e14721
    CrossRef
  67. Tzilos Wernette G, Countryman K, Khatibi K, Riley E, Stephenson R. Love My Body: Pilot Study to Understand Reproductive Health Vulnerabilities in Adolescent Girls. Journal of Medical Internet Research 2020;22(3):e16336
    CrossRef
  68. Koch MC, Lermann J, van de Roemer N, Renner SK, Burghaus S, Hackl J, Dittrich R, Kehl S, Oppelt PG, Hildebrandt T, Hack CC, Pöhls UG, Renner SP, Thiel FC. RETRACTED ARTICLE: Improving usability and pregnancy rates of a fertility monitor by an additional mobile application: results of a retrospective efficacy study of Daysy and DaysyView app. Reproductive Health 2018;15(1)
    CrossRef
  69. 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
  70. Wilson LM, Tyler N, Jacobs PG, Gabo V, Senf B, Reddy R, Castle JR. Patient Input for Design of a Decision Support Smartphone Application for Type 1 Diabetes. Journal of Diabetes Science and Technology 2020;14(6):1081
    CrossRef
  71. Russell E, Lloyd-Houldey A, Memon A, Yarker J. Factors Influencing Uptake and Use of a New Health Information App for Young People. Journal of Technology in Human Services 2018;36(4):222
    CrossRef
  72. 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
  73. Zaslavsky O, Roopsawang I, Chen AT. Promoting Behavioral Change in Mobile Health Interventions for Older Adults: A Scoping Review. Research in Gerontological Nursing 2020;13(2):102
    CrossRef
  74. Máca V, Ščasný M, Zvěřinová I, Jakob M, Hrnčíř J. Incentivizing Commuter Cycling by Financial and Non-Financial Rewards. International Journal of Environmental Research and Public Health 2020;17(17):6033
    CrossRef
  75. 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
  76. Theodoulou I, Reddy AM, Wong J. Is innovative workforce planning software the solution to NHS staffing and cost crisis? An exploration of the locum industry. BMC Health Services Research 2018;18(1)
    CrossRef
  77. Domnich A, Arata L, Amicizia D, Signori A, Patrick B, Stoyanov S, Hides L, Gasparini R, Panatto D. Development and validation of the Italian version of the Mobile Application Rating Scale and its generalisability to apps targeting primary prevention. BMC Medical Informatics and Decision Making 2016;16(1)
    CrossRef
  78. Alberts NM, Badawy SM, Hodges J, Estepp JH, Nwosu C, Khan H, Smeltzer MP, Homayouni R, Norell S, Klesges L, Porter JS, Hankins JS. Development of the InCharge Health Mobile App to Improve Adherence to Hydroxyurea in Patients With Sickle Cell Disease: User-Centered Design Approach. JMIR mHealth and uHealth 2020;8(5):e14884
    CrossRef
  79. Seiler A, Klaas V, Tröster G, Fagundes CP. eHealth and mHealth interventions in the treatment of fatigued cancer survivors: A systematic review and meta-analysis. Psycho-Oncology 2017;26(9):1239
    CrossRef
  80. Kim T, Lee Y, Yu E, Kim M, Yang S, Hur Y, Kang J. Effects of a mobile healthcare service provided by public health centers on practicing of health behaviors and health risk factors. Nutrition Research and Practice 2019;13(6):509
    CrossRef
  81. Khan K, Hall CL, Davies EB, Hollis C, Glazebrook C. The Effectiveness of Web-Based Interventions Delivered to Children and Young People With Neurodevelopmental Disorders: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2019;21(11):e13478
    CrossRef
  82. Biviji R, Vest JR, Dixon BE, Cullen T, Harle CA. Content analysis of behavior change techniques in maternal and infant health apps. Translational Behavioral Medicine 2021;11(2):504
    CrossRef
  83. 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
  84. Huang G, Zhou E. Time to Work Out! Examining the Behavior Change Techniques and Relevant Theoretical Mechanisms that Predict the Popularity of Fitness Mobile Apps with Chinese-Language User Interfaces. Health Communication 2019;34(12):1502
    CrossRef
  85. Payne HE, Moxley VB, MacDonald E. Health Behavior Theory in Physical Activity Game Apps: A Content Analysis. JMIR Serious Games 2015;3(2):e4
    CrossRef
  86. Modave F, Bian J, Leavitt T, Bromwell J, Harris III C, Vincent H. Low Quality of Free Coaching Apps With Respect to the American College of Sports Medicine Guidelines: A Review of Current Mobile Apps. JMIR mHealth and uHealth 2015;3(3):e77
    CrossRef
  87. Alcaraz KI, Vereen RN, Burnham D. Use of Telephone and Digital Channels to Engage Socioeconomically Disadvantaged Adults in Health Disparities Research Within a Social Service Setting: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(4):e16680
    CrossRef
  88. Berman AH, Molander O, Tahir M, Törnblom P, Gajecki M, Sinadinovic K, Andersson C. Reducing Risky Alcohol Use via Smartphone App Skills Training Among Adult Internet Help-Seekers: A Randomized Pilot Trial. Frontiers in Psychiatry 2020;11
    CrossRef
  89. Lawitschka A, Buehrer S, Bauer D, Peters K, Silbernagl M, Zubarovskaya N, Brunmair B, Kayali F, Hlavacs H, Mateus-Berr R, Riedl D, Rumpold G, Peters C. A Web-Based Mobile App (INTERACCT App) for Adolescents Undergoing Cancer and Hematopoietic Stem Cell Transplantation Aftercare to Improve the Quality of Medical Information for Clinicians: Observational Study. JMIR mHealth and uHealth 2020;8(6):e18781
    CrossRef
  90. Brower J, LaBarge MC, White L, Mitchell MS. Examining Responsiveness to an Incentive-Based Mobile Health App: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(8):e16797
    CrossRef
  91. Badawy SM, Thompson AA, Kuhns LM. Medication Adherence and Technology-Based Interventions for Adolescents With Chronic Health Conditions: A Few Key Considerations. JMIR mHealth and uHealth 2017;5(12):e202
    CrossRef
  92. Hussain T, Smith P, Yee LM. Mobile Phone–Based Behavioral Interventions in Pregnancy to Promote Maternal and Fetal Health in High-Income Countries: Systematic Review. JMIR mHealth and uHealth 2020;8(5):e15111
    CrossRef
  93. 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
  94. West P, Van Kleek M, Giordano R, Weal M, Shadbolt N. Information Quality Challenges of Patient-Generated Data in Clinical Practice. Frontiers in Public Health 2017;5
    CrossRef
  95. Lee M, Lee H, Kim Y, Kim J, Cho M, Jang J, Jang H. Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature. International Journal of Environmental Research and Public Health 2018;15(12):2838
    CrossRef
  96. Sutherland R, Nathan N, Brown A, Yoong S, Finch M, Lecathelinais C, Reynolds R, Walton A, Janssen L, Desmet C, Gillham K, Herrmann V, Hall A, Wiggers J, Wolfenden L. A randomized controlled trial to assess the potential efficacy, feasibility and acceptability of an m-health intervention targeting parents of school aged children to improve the nutritional quality of foods packed in the lunchbox ‘SWAP IT’. International Journal of Behavioral Nutrition and Physical Activity 2019;16(1)
    CrossRef
  97. Mummah SA, Mathur M, King AC, Gardner CD, Sutton S. Mobile Technology for Vegetable Consumption: A Randomized Controlled Pilot Study in Overweight Adults. JMIR mHealth and uHealth 2016;4(2):e51
    CrossRef
  98. Tu R, Hsieh P, Feng W. Walking for fun or for “likes”? The impacts of different gamification orientations of fitness apps on consumers’ physical activities. Sport Management Review 2019;22(5):682
    CrossRef
  99. Kim J, Kang J, Kim H, Ko J, Kim H, Kim Y, Ko K, Lee M. Development of tailored contents of a mobile health application to prevent the metabolic syndrome. Korean Journal of Health Education and Promotion 2018;35(3):25
    CrossRef
  100. Chen JI, Smolenski DJ, Dobscha SK, Bush NE, Denneson LM. Correlates of Mental Health Smartphone Application Use among Patients with Suicidal Ideation. Journal of Technology in Human Services 2018;36(4):191
    CrossRef
  101. Milne-Ives M, Lam C, De Cock C, Van Velthoven MH, Meinert E. Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review. JMIR mHealth and uHealth 2020;8(3):e17046
    CrossRef
  102. Mendiola MF, Kalnicki M, Lindenauer S. Valuable Features in Mobile Health Apps for Patients and Consumers: Content Analysis of Apps and User Ratings. JMIR mHealth and uHealth 2015;3(2):e40
    CrossRef
  103. Soela Kim , Jeong Yeob Han . Co-presence in Gamified Geosocial Mobile Fitness Applications: Its Determinants and Effects on Perceived Support, Exercise Self-Efficacy, and Exercise Adherence. Health Communication Research 2018;17(2):33
    CrossRef
  104. Henshall C, Davey Z, Jacelon C, Martin C. A usability study to test the effectiveness, efficiency and simplicity of a newly developed Internet-based Exercise-focused Health App for Lung cancer survivors (iEXHALE): Protocol paper. Health Informatics Journal 2020;26(2):1431
    CrossRef
  105. Kay E, Shou L. A randomised controlled trial of a smartphone application for improving oral hygiene. British Dental Journal 2019;226(7):508
    CrossRef
  106. de Cock C, van Velthoven M, Milne-Ives M, Mooney M, Meinert E. Use of Apps to Promote Childhood Vaccination: Systematic Review. JMIR mHealth and uHealth 2020;8(5):e17371
    CrossRef
  107. Choo CC, Burton AAD. Mobile Phone Apps for Behavioral Interventions for At-Risk Drinkers in Australia: Literature Review. JMIR mHealth and uHealth 2018;6(2):e18
    CrossRef
  108. Ashford RD, Giorgi S, Mann B, Pesce C, Sherritt L, Ungar L, Curtis B. Digital recovery networks: Characterizing user participation, engagement, and outcomes of a novel recovery social network smartphone application. Journal of Substance Abuse Treatment 2020;109:50
    CrossRef
  109. Brown HM, Collins CE, Bucher T, Rollo ME. Evaluation of the effectiveness and usability of an educational portion size tool, ServARpreg, for pregnant women. Journal of Human Nutrition and Dietetics 2019;32(6):719
    CrossRef
  110. Cho H, Flynn G, Saylor M, Gradilla M, Schnall R. Use of the FITT framework to understand patients’ experiences using a real-time medication monitoring pill bottle linked to a mobile-based HIV self-management app: A qualitative study. International Journal of Medical Informatics 2019;131:103949
    CrossRef
  111. Delmas MA, Kohli A. Can Apps Make Air Pollution Visible? Learning About Health Impacts Through Engagement with Air Quality Information. Journal of Business Ethics 2020;161(2):279
    CrossRef
  112. Milne-Ives M, Lam C, Van Velthoven MH, Meinert E. Mobile Apps for Health Behavior Change: Protocol for a Systematic Review. JMIR Research Protocols 2020;9(1):e16931
    CrossRef
  113. Badawy SM, Kuhns LM. Economic Evaluation of Text-Messaging and Smartphone-Based Interventions to Improve Medication Adherence in Adolescents with Chronic Health Conditions: A Systematic Review. JMIR mHealth and uHealth 2016;4(4):e121
    CrossRef
  114. Bender MS, Cooper BA, Park LG, Padash S, Arai S. A Feasible and Efficacious Mobile-Phone Based Lifestyle Intervention for Filipino Americans with Type 2 Diabetes: Randomized Controlled Trial. JMIR Diabetes 2017;2(2):e30
    CrossRef
  115. Minen MT, Torous J, Raynowska J, Piazza A, Grudzen C, Powers S, Lipton R, Sevick MA. Electronic behavioral interventions for headache: a systematic review. The Journal of Headache and Pain 2016;17(1)
    CrossRef
  116. Yun K, Xu J, Leuba S, Zhu Y, Zhang J, Chu Z, Geng W, Jiang Y, Shang H. Development and Validation of a Personalized Social Media Platform–Based HIV Incidence Risk Assessment Tool for Men Who Have Sex With Men in China. Journal of Medical Internet Research 2019;21(6):e13475
    CrossRef
  117. Brusk JJ, Bensley RJ. A Comparison of Mobile and Fixed Device Access on User Engagement Associated With Women, Infants, and Children (WIC) Online Nutrition Education. JMIR Research Protocols 2016;5(4):e216
    CrossRef
  118. Badawy SM, Shah R, Beg U, Heneghan MB. Habit Strength, Medication Adherence, and Habit-Based Mobile Health Interventions Across Chronic Medical Conditions: Systematic Review. Journal of Medical Internet Research 2020;22(4):e17883
    CrossRef
  119. Shattuck D, Haile LT, Simmons RG. Lessons From the Dot Contraceptive Efficacy Study: Analysis of the Use of Agile Development to Improve Recruitment and Enrollment for mHealth Research. JMIR mHealth and uHealth 2018;6(4):e99
    CrossRef
  120. Lazard AJ, Saffer AJ, Horrell L, Benedict C, Love B. Peer‐to‐peer connections: Perceptions of a social support app designed for young adults with cancer. Psycho-Oncology 2020;29(1):173
    CrossRef
  121. Brewer LC, Hayes SN, Caron AR, Derby DA, Breutzman NS, Wicks A, Raman J, Smith CM, Schaepe KS, Sheets RE, Jenkins SM, Lackore KA, Johnson J, Jones C, Radecki Breitkopf C, Cooper LA, Patten CA, Newton RL. Promoting cardiovascular health and wellness among African-Americans: Community participatory approach to design an innovative mobile-health intervention. PLOS ONE 2019;14(8):e0218724
    CrossRef
  122. Ahn JS, Lee H, Kim J, Park H, Kim DW, Lee JE. Use of a Smartphone App for Weight Loss Versus a Paper-Based Dietary Diary in Overweight Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e14013
    CrossRef
  123. Broom DR, Flint SW. Gotta Catch ‘Em All: Impact of Pokémon Go on Physical Activity, Sitting Time, and Perceptions of Physical Activity and Health at Baseline and Three-Month Follow-Up. Games for Health Journal 2018;7(6):401
    CrossRef
  124. Guo H, Zhang Y, Li P, Zhou P, Chen L, Li S. Evaluating the effects of mobile health intervention on weight management, glycemic control and pregnancy outcomes in patients with gestational diabetes mellitus. Journal of Endocrinological Investigation 2019;42(6):709
    CrossRef
  125. Nam S, Han SH, Gilligan M. Internet Use and Preventive Health Behaviors Among Couples in Later Life: Evidence from the Health and Retirement Study. The Gerontologist 2019;59(1):69
    CrossRef
  126. Wortley D, An J, Heshmati A. Tackling the Challenge of the Aging Society: Detecting and Preventing Cognitive and Physical Decline through Games and Consumer Technologies. Healthcare Informatics Research 2017;23(2):87
    CrossRef
  127. Klenk S, Reifegerste D, Renatus R. Gender differences in gratifications from fitness app use and implications for health interventions. Mobile Media & Communication 2017;5(2):178
    CrossRef
  128. Zhang J, Calabrese C, Ding J, Liu M, Zhang B. Advantages and challenges in using mobile apps for field experiments: A systematic review and a case study. Mobile Media & Communication 2018;6(2):179
    CrossRef
  129. Scheerman JFM, van Empelen P, van Loveren C, van Meijel B. A Mobile App (WhiteTeeth) to Promote Good Oral Health Behavior Among Dutch Adolescents with Fixed Orthodontic Appliances: Intervention Mapping Approach. JMIR mHealth and uHealth 2018;6(8):e163
    CrossRef
  130. Santana CCDAP, Freitas ATVDS, Oliveira Barreto G, Sousa De Avelar I, Mazaro-Costa R, Bueno GN, Ribeiro DC, Damasceno Silva G, Naghettini AV. Serious Game on a Smartphone for Adolescents Undergoing Hemodialysis: Development and Evaluation. JMIR Serious Games 2020;8(3):e17979
    CrossRef
  131. Klonoff DC, Kerr D. Overcoming Barriers to Adoption of Digital Health Tools for Diabetes. Journal of Diabetes Science and Technology 2018;12(1):3
    CrossRef
  132. Volkova E, Li N, Dunford E, Eyles H, Crino M, Michie J, Ni Mhurchu C. “Smart” RCTs: Development of a Smartphone App for Fully Automated Nutrition-Labeling Intervention Trials. JMIR mHealth and uHealth 2016;4(1):e23
    CrossRef
  133. Karasneh RA, Al-Azzam SI, Alzoubi KH, Muflih SM, Hawamdeh SS. Smartphone Applications for Period Tracking: Rating and Behavioral Change among Women Users. Obstetrics and Gynecology International 2020;2020:1
    CrossRef
  134. 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
  135. Bauer M, Glenn T, Monteith S, Bauer R, Whybrow PC, Geddes J. Ethical perspectives on recommending digital technology for patients with mental illness. International Journal of Bipolar Disorders 2017;5(1)
    CrossRef
  136. Haga SB, Shaw R, Kneifel C, Bond SJ, Ginsburg GS. Promoting Wellness Through Mobile Health Technology in a College Student Population: Protocol Development and Pilot Study. JMIR Research Protocols 2020;9(4):e16474
    CrossRef
  137. 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
  138. Apolinário-Hagen J, Hennemann S, Fritsche L, Drüge M, Breil B. Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study. JMIR Mental Health 2019;6(11):e15373
    CrossRef
  139. Sun CJ, Anderson KM, Kuhn T, Mayer L, Klein CH. A Sexual Health Promotion App for Transgender Women (Trans Women Connected): Development and Usability Study. JMIR mHealth and uHealth 2020;8(5):e15888
    CrossRef
  140. Rader S, Dorner TE, Schoberberger R, Wolf H. Effects of a web-based follow-up intervention on self-efficacy in obesity treatment for women. Wiener klinische Wochenschrift 2017;129(13-14):472
    CrossRef
  141. Hendrie GA, Hussain MS, Brindal E, James-Martin G, Williams G, Crook A. Impact of a Mobile Phone App to Increase Vegetable Consumption and Variety in Adults: Large-Scale Community Cohort Study. JMIR mHealth and uHealth 2020;8(4):e14726
    CrossRef
  142. . Toward digital-based interventions for medication adherence and safety. Expert Opinion on Drug Safety 2020;19(6):735
    CrossRef
  143. . Investigating the Perceptions of Care Coordinators on Using Behavior Theory-Based Mobile Health Technology With Medicaid Populations: A Grounded Theory Study. JMIR mHealth and uHealth 2017;5(3):e36
    CrossRef
  144. Olsen SH, Saperstein SL, Gold RS. Content and Feature Preferences for a Physical Activity App for Adults with Physical Disabilities: Focus Group Findings (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  145. Li H, Lewis C, Chi H, Singleton G, Williams N. Mobile health applications for mental illnesses: An Asian context. Asian Journal of Psychiatry 2020;54:102209
    CrossRef
  146. Ryan B, King R. How ready is ready? Measuring physical preparedness for severe storms. Natural Hazards 2020;104(1):171
    CrossRef
  147. Trub L, Starks TJ. Textual Healing: Proof of Concept Study Examining the Impact of a Mindfulness Intervention on Smartphone Behavior. Mindfulness 2017;8(5):1225
    CrossRef
  148. Nguyen E, Bugno L, Kandah C, Plevinsky J, Poulopoulos N, Wojtowicz A, Schneider KL, Greenley RN. Is There a Good App for That? Evaluating m-Health Apps for Strategies That Promote Pediatric Medication Adherence. Telemedicine and e-Health 2016;22(11):929
    CrossRef
  149. Tudor-Sfetea C, Rabee R, Najim M, Amin N, Chadha M, Jain M, Karia K, Kothari V, Patel T, Suseeharan M, Ahmed M, Sherwani Y, Siddiqui S, Lin Y, Eisingerich AB. Evaluation of Two Mobile Health Apps in the Context of Smoking Cessation: Qualitative Study of Cognitive Behavioral Therapy (CBT) Versus Non-CBT-Based Digital Solutions. JMIR mHealth and uHealth 2018;6(4):e98
    CrossRef
  150. Bennett KM, Clary KL, Smith DC, Lee CA. Usability and Acceptability of a Mobile App to Help Emerging Adults Address their Friends' Substance Use (Harbor): Quantitative Study. Journal of Medical Internet Research 2020;22(11):e16632
    CrossRef
  151. Hirano M, Ogura K, Kitahara M, Sakamoto D, Shimoyama H. Designing behavioral self-regulation application for preventive personal mental healthcare. Health Psychology Open 2017;4(1):205510291770718
    CrossRef
  152. Elbert SP, Dijkstra A, Oenema A. A Mobile Phone App Intervention Targeting Fruit and Vegetable Consumption: The Efficacy of Textual and Auditory Tailored Health Information Tested in a Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e147
    CrossRef
  153. Rathbone AL, Clarry L, Prescott J. Assessing the Efficacy of Mobile Health Apps Using the Basic Principles of Cognitive Behavioral Therapy: Systematic Review. Journal of Medical Internet Research 2017;19(11):e399
    CrossRef
  154. Seifert A, Reinwand DA, Schlomann A. Designing and Using Digital Mental Health Interventions for Older Adults: Being Aware of Digital Inequality. Frontiers in Psychiatry 2019;10
    CrossRef
  155. Zhao J, Freeman B, Li M. Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review. Journal of Medical Internet Research 2016;18(11):e287
    CrossRef
  156. Davis SW, Oakley-Girvan I. Achieving value in mobile health applications for cancer survivors. Journal of Cancer Survivorship 2017;11(4):498
    CrossRef
  157. Schwarting A, Dreher M, Assmann G, Witte T, Hoeper K, Schmidt RE. Erfahrungen und Ergebnisse aus Rheuma-VOR. Zeitschrift für Rheumatologie 2019;78(8):743
    CrossRef
  158. Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1)
    CrossRef
  159. Petersen JM, Prichard I, Kemps E. A Comparison of Physical Activity Mobile Apps With and Without Existing Web-Based Social Networking Platforms: Systematic Review. Journal of Medical Internet Research 2019;21(8):e12687
    CrossRef
  160. Strotbaum V, Pobiruchin M, Schreiweis B, Wiesner M, Strahwald B. Your data is gold – Data donation for better healthcare?. it - Information Technology 2019;61(5-6):219
    CrossRef
  161. . Healthy competition: A qualitative study investigating persuasive technologies and the gamification of cycling. Health & Place 2017;46:328
    CrossRef
  162. Mrazek AJ, Mrazek MD, Cherolini CM, Cloughesy JN, Cynman DJ, Gougis LJ, Landry AP, Reese JV, Schooler JW. The future of mindfulness training is digital, and the future is now. Current Opinion in Psychology 2019;28:81
    CrossRef
  163. Mummah S, Robinson TN, Mathur M, Farzinkhou S, Sutton S, Gardner CD. Effect of a mobile app intervention on vegetable consumption in overweight adults: a randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1)
    CrossRef
  164. Jacobs S, Radnitz C, Hildebrandt T. Adherence as a predictor of weight loss in a commonly used smartphone application. Obesity Research & Clinical Practice 2017;11(2):206
    CrossRef
  165. Badawy SM, Barrera L, Cai S, Thompson AA. Association between Participants’ Characteristics, Patient-Reported Outcomes, and Clinical Outcomes in Youth with Sickle Cell Disease. BioMed Research International 2018;2018:1
    CrossRef
  166. . Policy, practice and regulatory issues in mobile technology treatment for forensic clients. European Journal of Probation 2018;10(1):44
    CrossRef
  167. Ashford RD, Lynch K, Curtis B. Technology and Social Media Use Among Patients Enrolled in Outpatient Addiction Treatment Programs: Cross-Sectional Survey Study. Journal of Medical Internet Research 2018;20(3):e84
    CrossRef
  168. Ferrara G, Kim J, Lin S, Hua J, Seto E. A Focused Review of Smartphone Diet-Tracking Apps: Usability, Functionality, Coherence With Behavior Change Theory, and Comparative Validity of Nutrient Intake and Energy Estimates. JMIR mHealth and uHealth 2019;7(5):e9232
    CrossRef
  169. Attwood S, Parke H, Larsen J, Morton KL. Using a mobile health application to reduce alcohol consumption: a mixed-methods evaluation of the drinkaware track & calculate units application. BMC Public Health 2017;17(1)
    CrossRef
  170. Decker MJ, Gutmann-Gonzalez A, Price M, Romero J, Sheoran B, Yarger J. Evaluating the Effectiveness of an Intervention Integrating Technology and In-Person Sexual Health Education for Adolescents (In the Know): Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols 2020;9(8):e18060
    CrossRef
  171. Fischer T, Stumpf P, Reinhardt G, Schwarz PEH, Timpel P. Video-based smartphone app (‘VIDEA bewegt’) for physical activity support in German adults: a study protocol for a single-armed observational study. BMJ Open 2020;10(3):e034027
    CrossRef
  172. Miah SJ, Gammack J, Hasan N. Extending the framework for mobile health information systems Research: A content analysis. Information Systems 2017;69:1
    CrossRef
  173. Delmas MA, Kohli A. Can Apps Make Air Pollution Visible? User Engagement with Air Quality Information. SSRN Electronic Journal 2019;
    CrossRef
  174. . Behavioral Health Apps Abundant, but Evidence-Based Research Nearly Nonexistent. Cyberpsychology, Behavior, and Social Networking 2015;18(6):309
    CrossRef
  175. Waite-Jones JM, Majeed-Ariss R, Smith J, Stones SR, Van Rooyen V, Swallow V. Young People’s, Parents’, and Professionals’ Views on Required Components of Mobile Apps to Support Self-Management of Juvenile Arthritis: Qualitative Study. JMIR mHealth and uHealth 2018;6(1):e25
    CrossRef
  176. Chehade MJ, Yadav L, Jayatilaka A, Gill TK, Palmer E. Personal digital health hubs for multiple conditions. Bulletin of the World Health Organization 2020;98(8):569
    CrossRef
  177. Scott IA, Scuffham P, Gupta D, Harch TM, Borchi J, Richards B. Going digital: a narrative overview of the effects, quality and utility of mobile apps in chronic disease self-management. Australian Health Review 2020;44(1):62
    CrossRef
  178. Oreglia E, Ly S, Tijamo C, Ou A, Free C, Smith C. Development of an Intervention to Support the Reproductive Health of Cambodian Women Who Seek Medical Abortion: Research Protocol. JMIR Research Protocols 2020;9(7):e17779
    CrossRef
  179. Milward J, Khadjesari Z, Fincham-Campbell S, Deluca P, Watson R, Drummond C. User Preferences for Content, Features, and Style for an App to Reduce Harmful Drinking in Young Adults: Analysis of User Feedback in App Stores and Focus Group Interviews. JMIR mHealth and uHealth 2016;4(2):e47
    CrossRef
  180. 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
  181. Adu MD, Malabu UH, Malau-Aduli AE, Drovandi A, Malau-Aduli BS. User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study. JMIR mHealth and uHealth 2020;8(6):e17802
    CrossRef
  182. Paslakis G, Fischer-Jacobs J, Pape L, Schiffer M, Gertges R, Tegtbur U, Zimmermann T, Nöhre M, de Zwaan M. Assessment of Use and Preferences Regarding Internet-Based Health Care Delivery: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research 2019;21(5):e12416
    CrossRef
  183. Choo CC, Burton AA. Smartphone Apps for Mindfulness Interventions for Suicidality in Asian Youths: Literature Review. JMIR mHealth and uHealth 2018;6(6):e139
    CrossRef
  184. Cook VE, Ellis AK, Hildebrand KJ. Mobile health applications in clinical practice: pearls, pitfalls, and key considerations. Annals of Allergy, Asthma & Immunology 2016;117(2):143
    CrossRef
  185. M Quintiliani L, Mann DM, Puputti M, Quinn E, Bowen DJ. Pilot and Feasibility Test of a Mobile Health-Supported Behavioral Counseling Intervention for Weight Management Among Breast Cancer Survivors. JMIR Cancer 2016;2(1):e4
    CrossRef
  186. Salzwedel A, Rabe S, Zahn T, Neuwirth J, Eichler S, Haubold K, Wachholz A, Reibis R, Völler H. User Interest in Digital Health Technologies to Encourage Physical Activity: Results of a Survey in Students and Staff of a German University. JMIR mHealth and uHealth 2017;5(4):e51
    CrossRef
  187. Hekler E, Tiro JA, Hunter CM, Nebeker C. Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision. Annals of Behavioral Medicine 2020;54(11):805
    CrossRef
  188. 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
  189. Lopez-Castroman J, Abad-Tortosa D, Cobo Aguilera A, Courtet P, Barrigón ML, Artés A, Baca-García E. Psychiatric Profiles of eHealth Users Evaluated Using Data Mining Techniques: Cohort Study. JMIR Mental Health 2021;8(1):e17116
    CrossRef
  190. MacPherson MM, Merry KJ, Locke SR, Jung ME. Effects of Mobile Health Prompts on Self-Monitoring and Exercise Behaviors Following a Diabetes Prevention Program: Secondary Analysis From a Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(9):e12956
    CrossRef
  191. 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
  192. Mishra A, Maheswarappa SS. How Content Valence and Online Impression Influence Goal Achievement in Social Media Environment?. Global Business Review 2019;20(5):1267
    CrossRef
  193. Merkouris SS, Hawker CO, Rodda SN, Youssef GJ, Dowling NA. GamblingLess: Curb Your Urge: Development and usability testing of a smartphone-delivered ecological momentary intervention for problem gambling. International Gambling Studies 2020;20(3):515
    CrossRef
  194. Gentili C, Zetterqvist V, Rickardsson J, Holmström L, Simons LE, Wicksell RK. ACTsmart – development and feasibility of digital Acceptance and Commitment Therapy for adults with chronic pain. npj Digital Medicine 2020;3(1)
    CrossRef
  195. Kwan V, Hagen G, Noel M, Dobson K, Yeates K. Healthcare at Your Fingertips: The Professional Ethics of Smartphone Health-Monitoring Applications. Ethics & Behavior 2017;27(8):615
    CrossRef
  196. Whitelock V, Kersbergen I, Higgs S, Aveyard P, Halford JC, Robinson E. User Experiences of a Smartphone-Based Attentive Eating App and Their Association With Diet and Weight Loss Outcomes: Thematic and Exploratory Analyses From a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(10):e16780
    CrossRef
  197. Bruce C, Harrison P, Giammattei C, Desai S, Sol JR, Jones S, Schwartz R. Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes. JMIR mHealth and uHealth 2020;8(11):e17577
    CrossRef
  198. Schultchen D, Terhorst Y, Holderied T, Stach M, Messner E, Baumeister H, Sander LB. Stay Present with Your Phone: A Systematic Review and Standardized Rating of Mindfulness Apps in European App Stores. International Journal of Behavioral Medicine 2021;28(5):552
    CrossRef
  199. Gambalunga F, Iacorossi L, Notarnicola I, Serra V, Piredda M, De Marinis MG. Mobile Health in Adherence to Oral Anticancer Drugs. CIN: Computers, Informatics, Nursing 2021;39(1):17
    CrossRef
  200. Brown A, Sutherland R, Janssen L, Hudson N, Chooi A, Reynolds R, Walton A, Lecathelinais C, Reilly K, Nathan N, Wolfenden L. Enhancing the potential effects of text messages delivered via an m-health intervention to improve packing of healthy school lunchboxes. Public Health Nutrition 2021;24(10):2867
    CrossRef
  201. Baroutsou V, Hatz C, Blanke U, Haile SR, Fehr J, Neumayr A, Puhan MA, Bühler S. TOURIST2 – Tracking of urgent risks in swiss travellers to the 6 main travel destinations – Feasibility and ethical considerations of a smartphone application-based study. Travel Medicine and Infectious Disease 2021;39:101912
    CrossRef
  202. Li T, Chen X, Wang J, Chen L, Cai W. A Mobile App-based Intervention for Pregnant Women With Stress Urinary Incontinence: Protocol for a Hybrid Effectiveness-Implementation Trial (Preprint). JMIR Research Protocols 2020;
    CrossRef
  203. Davis T, DiClemente RJ, Prietula M. Using ADAPT-ITT to Modify a Telephone-Based HIV Prevention Intervention for SMS Delivery: Formative Study. JMIR Formative Research 2020;4(10):e22485
    CrossRef
  204. Gilbey D, Morgan H, Lin A, Perry Y. Effectiveness, Acceptability, and Feasibility of Digital Health Interventions for LGBTIQ+ Young People: Systematic Review. Journal of Medical Internet Research 2020;22(12):e20158
    CrossRef
  205. Bhurosy T, Middlestadt SE, Lin H, Thiagarajah K, Fly AD. A Randomized mHealth Trial to Promote Vegetable Intake Through Counting and Goal Setting. Journal of Nutrition Education and Behavior 2020;52(12):1111
    CrossRef
  206. Pathiravasan CH, Zhang Y, Trinquart L, Benjamin EJ, Borrelli B, McManus DD, Kheterpal V, Lin H, Sardana M, Hammond MM, Spartano NL, Dunn AL, Schramm E, Nowak C, Manders ES, Liu H, Kornej J, Liu C, Murabito JM. Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study. Journal of Medical Internet Research 2021;23(1):e24773
    CrossRef
  207. 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
  208. 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
  209. 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
  210. Pizarro-Ruiz JP, Ordóñez-Camblor N, Del-Líbano M, Escolar-LLamazares M. Influence on Forgiveness, Character Strengths and Satisfaction with Life of a Short Mindfulness Intervention via a Spanish Smartphone Application. International Journal of Environmental Research and Public Health 2021;18(2):802
    CrossRef
  211. Keaver L, Loftus A, Quinn L. A review of iPhone and Android apps for cancer patients and survivors: assessing their quality, nutrition information and behaviour change techniques. Journal of Human Nutrition and Dietetics 2021;34(3):572
    CrossRef
  212. Lin Y, Chen S, Lin P, Tai A, Pan Y, Hsieh C, Lin S. Assessing User Retention of a Mobile App: Survival Analysis. JMIR mHealth and uHealth 2020;8(11):e16309
    CrossRef
  213. Xu H, Long H. The Effect of Smartphone App–Based Interventions for Patients With Hypertension: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2020;8(10):e21759
    CrossRef
  214. Stork MJ, Bell EG, Jung ME. Examining the Impact of a Mobile Health App on Functional Movement and Physical Fitness: Pilot Pragmatic Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(5):e24076
    CrossRef
  215. Martin E, Di Meglio A, Charles C, Ferreira A, Gbenou A, Blond M, Fagnou B, Arvis J, Pistilli B, Saghatchian M, Vaz Luis I. Use of mHealth to Increase Physical Activity Among Breast Cancer Survivors With Fatigue: Qualitative Exploration. JMIR Cancer 2021;7(1):e23927
    CrossRef
  216. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429
    CrossRef
  217. Bahadoor R, Alexandre J, Fournet L, Gellé T, Serre F, Auriacombe M. Inventory and Analysis of Controlled Trials of Mobile Phone Applications Targeting Substance Use Disorders: A Systematic Review. Frontiers in Psychiatry 2021;12
    CrossRef
  218. Martinez W, Threatt AL, Rosenbloom ST, Wallston KA, Hickson GB, Elasy TA. A Patient-Facing Diabetes Dashboard Embedded in a Patient Web Portal: Design Sprint and Usability Testing. JMIR Human Factors 2018;5(3):e26
    CrossRef
  219. Hamaya R, Fukuda H, Takebayashi M, Mori M, Matsushima R, Nakano K, Miyake K, Tani Y, Yokokawa H. Effects of an mHealth App (Kencom) With Integrated Functions for Healthy Lifestyles on Physical Activity Levels and Cardiovascular Risk Biomarkers: Observational Study of 12,602 Users. Journal of Medical Internet Research 2021;23(4):e21622
    CrossRef
  220. Zhang C, Lakens D, IJsselsteijn WA. Theory Integration for Lifestyle Behavior Change in the Digital Age: An Adaptive Decision-Making Framework. Journal of Medical Internet Research 2021;23(4):e17127
    CrossRef
  221. Niu Z, Qin Z, Hu P, Wang T. Health Beliefs, Trust in Media Sources, Health Literacy, and Preventive Behaviors among High-Risk Chinese for COVID-19. Health Communication 2022;37(8):1004
    CrossRef
  222. Zimmermann BM, Fiske A, Prainsack B, Hangel N, McLennan S, Buyx A. Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study. Journal of Medical Internet Research 2021;23(2):e25525
    CrossRef
  223. Choi J, Chung C, Woo H. Diet-Related Mobile Apps to Promote Healthy Eating and Proper Nutrition: A Content Analysis and Quality Assessment. International Journal of Environmental Research and Public Health 2021;18(7):3496
    CrossRef
  224. Fogarty H, Gaul A, Syed S, Aleksejenko N, Geoghegan R, Conroy H, Crampton E, Ngwenya N, Tuohy E, McMahon C. Adherence to hydroxyurea, health-related quality of life domains and attitudes towards a smartphone app among Irish adolescents and young adults with sickle cell disease. Irish Journal of Medical Science (1971 -) 2022;191(2):809
    CrossRef
  225. Sun R, Han W, Chang H, Shaw MJ. Motivating Adherence to Exercise Plans Through a Personalized Mobile Health App: Enhanced Action Design Research Approach. JMIR mHealth and uHealth 2021;9(6):e19941
    CrossRef
  226. May CD, St George JM, Lane S. Fathers Raising Children on the Autism Spectrum: Lower Stress and Higher Self-Efficacy Following SMS (Text2dads) Intervention. Journal of Autism and Developmental Disorders 2022;52(1):306
    CrossRef
  227. Hawker CO, Merkouris SS, Youssef GJ, Dowling NA. A Smartphone-Delivered Ecological Momentary Intervention for Problem Gambling (GamblingLess: Curb Your Urge): Single-Arm Acceptability and Feasibility Trial. Journal of Medical Internet Research 2021;23(3):e25786
    CrossRef
  228. Russ S, Sevdalis N, Ocloo J. A Smartphone App Designed to Empower Patients to Contribute Toward Safer Surgical Care: Qualitative Evaluation of Diverse Public and Patient Perceptions Using Focus Groups. JMIR mHealth and uHealth 2021;9(4):e24065
    CrossRef
  229. Hazel CA, Bull S, Greenwell E, Bunik M, Puma J, Perraillon M. Systematic review of cost-effectiveness analysis of behavior change communication apps: Assessment of key methods. DIGITAL HEALTH 2021;7:205520762110005
    CrossRef
  230. Yilmaz SK, Bohara AK. mHealth: Potentials and Risks for Addressing Mental Health and Well-Being Issues Among Nepali Adolescents. Frontiers in Public Health 2021;9
    CrossRef
  231. Badawy SM, Cronin RM, Liem RI, Palermo TM. Digital behavioural interventions for people with sickle cell disease. Cochrane Database of Systematic Reviews 2021;
    CrossRef
  232. Chang W, Wang Y, Chang Y, Lo S. Effectiveness of an App-Based Mobile Intervention for Precision Oral Self-Care in Patients with Periodontitis from Initial Therapy to Re-Evaluation. Applied Sciences 2021;11(9):4229
    CrossRef
  233. Mehta P, Moore SL, Bull S, Kwan BM. Building MedVenture – A mobile health application to improve adolescent medication adherence – Using a multidisciplinary approach and academic–industry collaboration. DIGITAL HEALTH 2021;7:205520762110198
    CrossRef
  234. Rinawan FR, Susanti AI, Amelia I, Ardisasmita MN, Widarti , Dewi RK, Ferdian D, Purnama WG, Purbasari A. Understanding mobile application development and implementation for monitoring Posyandu data in Indonesia: a 3-year hybrid action study to build “a bridge” from the community to the national scale. BMC Public Health 2021;21(1)
    CrossRef
  235. Willems SH, Rao J, Bhambere S, Patel D, Biggins Y, Guite JW. Digital Solutions to Alleviate the Burden on Health Systems During a Public Health Care Crisis: COVID-19 as an Opportunity. JMIR mHealth and uHealth 2021;9(6):e25021
    CrossRef
  236. Khanjari S, Bell EF, Sadeghi LA, Sabzehei MK, Haghani S. The impact of a mobile health intervention on the sense of coherence and quality of life of mothers with premature infants. Journal of Neonatal Nursing 2021;27(6):444
    CrossRef
  237. Temsah M, Abouammoh N, Ashry A, Al-Eyadhy A, Alhaboob A, Alsohime F, Almazyad M, Alabdulhafid M, Temsah R, Aljamaan F, Jamal A, Halwani R, Alhasan K, Al-Tawfiq JA, Barry M. Virtual Handover of Patients in the Pediatric Intensive Care Unit During the Covid-19 Crisis. Journal of Multidisciplinary Healthcare 2021;Volume 14:1571
    CrossRef
  238. . Digital encounters: Human interactions in mHealth behavior change interventions. DIGITAL HEALTH 2021;7:205520762110297
    CrossRef
  239. Degroote L, De Paepe A, De Bourdeaudhuij I, Van Dyck D, Crombez G. Effectiveness of the mHealth intervention ‘MyDayPlan’ to increase physical activity: an aggregated single case approach. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1)
    CrossRef
  240. Baek Y, Jeong K, Lee S, Kim H, Seo B, Jin H. Feasibility and Effectiveness of Assessing Subhealth Using a Mobile Health Management App (MibyeongBogam) in Early Middle-Aged Koreans: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(8):e27455
    CrossRef
  241. Shah AC, O’Dwyer LC, Badawy SM. Telemedicine in Malignant and Nonmalignant Hematology: Systematic Review of Pediatric and Adult Studies. JMIR mHealth and uHealth 2021;9(7):e29619
    CrossRef
  242. Tu Y, Chang Y, Chiou H, Lai K. The Effects of Continuous Usage of a Diabetes Management App on Glycemic Control in Real-world Clinical Practice: Retrospective Analysis. Journal of Medical Internet Research 2021;23(7):e23227
    CrossRef
  243. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308
    CrossRef
  244. Lucassen DA, Lasschuijt MP, Camps G, Van Loo EJ, Fischer ARH, de Vries RAJ, Haarman JAM, Simons M, de Vet E, Bos-de Vos M, Pan S, Ren X, de Graaf K, Lu Y, Feskens EJM, Brouwer-Brolsma EM. Short and Long-Term Innovations on Dietary Behavior Assessment and Coaching: Present Efforts and Vision of the Pride and Prejudice Consortium. International Journal of Environmental Research and Public Health 2021;18(15):7877
    CrossRef
  245. Hoevenaars D, Holla JFM, te Loo L, Koedijker JM, Dankers S, Houdijk H, Visser B, Janssen TWJ, de Groot S, Deutekom M. Mobile App (WHEELS) to Promote a Healthy Lifestyle in Wheelchair Users With Spinal Cord Injury or Lower Limb Amputation: Usability and Feasibility Study. JMIR Formative Research 2021;5(8):e24909
    CrossRef
  246. Siddiqua A, Kabir MA, Ferdous T, Ali IB, Weston LA. Evaluating Plant Disease Detection Mobile Applications: Quality and Limitations. Agronomy 2022;12(8):1869
    CrossRef
  247. Mao C, Bayer JB, Ross MQ, Rhee L, Le HTK, Mount J, Chang H, Chang Y, Hedstrom A, Hovick SR. Perceived vs. observed mHealth behavior: A naturalistic investigation of tracking apps and daily movement. Mobile Media & Communication 2023;11(3):526
    CrossRef
  248. 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
  249. Agher D, Sedki K, Despres S, Albinet J, Jaulent M, Tsopra R. Encouraging Behavior Changes and Preventing Cardiovascular Diseases Using the Prevent Connect Mobile Health App: Conception and Evaluation of App Quality. Journal of Medical Internet Research 2022;24(1):e25384
    CrossRef
  250. Kalgotra P, Raja U, Sharda R. Growth in the development of health and fitness mobile apps amid COVID-19 pandemic. DIGITAL HEALTH 2022;8:205520762211290
    CrossRef
  251. Buono FD, Gleed C, Boldin M, Aviles A, Wheeler N. Preliminary Effectiveness of a Remotely Monitored Blood Alcohol Concentration Device as Treatment Modality: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(1):e30186
    CrossRef
  252. Knoetze M, Mahomed-Asmail F, Manchaiah V, Swanepoel DW. Sound-level Monitoring Earphones With Smartphone Feedback as an Intervention to Promote Healthy Listening Behaviors in Young Adults. Ear & Hearing 2021;42(5):1173
    CrossRef
  253. Canfield SM, Canada KE. Systematic Review of Online Interventions to Reduce Perinatal Mood and Anxiety Disorders in Underserved Populations. Journal of Perinatal & Neonatal Nursing 2023;37(1):14
    CrossRef
  254. Petrenko CLM, Kautz-Turnbull CC, Roth AR, Parr JE, Tapparello C, Demir U, Olson HC. Initial Feasibility of the “Families Moving Forward Connect” Mobile Health Intervention for Caregivers of Children With Fetal Alcohol Spectrum Disorders: Mixed Method Evaluation Within a Systematic User-Centered Design Approach. JMIR Formative Research 2021;5(12):e29687
    CrossRef
  255. Rao N, Perdomo S, Jonassaint C. A Novel Method for Digital Pain Assessment Using Abstract Animations: Human-Centered Design Approach. JMIR Human Factors 2022;9(1):e27689
    CrossRef
  256. Torres-Toukoumidis A, León DV, De-Santis A, López-López PC. Gamification in Ecology-Oriented Mobile Applications—Typologies and Purposes. Societies 2022;12(2):42
    CrossRef
  257. Dufour S, Clancy A, Wu M. Technical Update No. 433: eHealth Solutions for Urinary Incontinence Among Women. Journal of Obstetrics and Gynaecology Canada 2023;45(2):150
    CrossRef
  258. Sinha C, Cheng AL, Kadaba M. Adherence and Engagement With a Cognitive Behavioral Therapy–Based Conversational Agent (Wysa for Chronic Pain) Among Adults With Chronic Pain: Survival Analysis. JMIR Formative Research 2022;6(5):e37302
    CrossRef
  259. . 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
  260. Harrison LE, Webster SN, Van Orden AR, Choate E, Jehl N, Stinson J, Wicksell RK, Darnall BD, Simons LE. Agile development of a digital exposure treatment for youth with chronic musculoskeletal pain: protocol of a user-centred design approach and examination of feasibility and preliminary efficacy. BMJ Open 2022;12(9):e065997
    CrossRef
  261. Nyström CD, Sandin S, Henriksson P, Henriksson H, Trolle-Lagerros Y, Larsson C, Maddison R, Ortega FB, Pomeroy J, Ruiz JR, Silfvernagel K, Timpka T, Löf M. Mobile-based intervention intended to stop obesity in preschool-aged children: the MINISTOP randomized controlled trial ,. The American Journal of Clinical Nutrition 2017;105(6):1327
    CrossRef
  262. Halttu K, Oinas-Kukkonen H. Need for Cognition Among Users of Self-Monitoring Systems for Physical Activity: Survey Study. JMIR Formative Research 2021;5(10):e23968
    CrossRef
  263. Sturm C, Schiller J, Korallus C, Lemhöfer C, Egen C, Gutenbrunner C. Digitalisierung in der Rehabilitation von rheumatischen Erkrankungen: Was ist sinnvoll, was ist bewiesen, welche Perspektiven gibt es?. Aktuelle Rheumatologie 2022;47(01):48
    CrossRef
  264. Barzegari S, Sharifi Kia A, Bardus M, Stoyanov SR, GhaziSaeedi M, Rafizadeh M. The Persian Version of the Mobile Application Rating Scale (MARS-Fa): Translation and Validation Study. JMIR Formative Research 2022;6(12):e42225
    CrossRef
  265. Mbada CE, Oluwatobi S, Awosika HA, Esan O, Oke KI, Makinde MO, Oyewole OO, Oyewole AI, Christiana OA, Fatoye F. Development and feasibility testing of a smartphone video-based exercise program for patients with knee osteoarthritis. Digital Medicine 2022;8:9
    CrossRef
  266. Khare MM, Zimmermann K, Lyons R, Locklin C, Gerber BS. Feasibility of promoting physical activity using mHEALTH technology in rural women: the step-2-it study. BMC Women's Health 2021;21(1)
    CrossRef
  267. Rohani DA, Springer A, Hollis V, Bardram JE, Whittaker S. Recommending Activities for Mental Health and Well-Being: Insights From Two User Studies. IEEE Transactions on Emerging Topics in Computing 2021;9(3):1183
    CrossRef
  268. Lenel F, Priebe J, Satriawan E, Syamsulhakim E. Can mHealth campaigns improve CCT outcomes? Experimental evidence from sms-nudges in Indonesia. Journal of Health Economics 2022;86:102687
    CrossRef
  269. Chettri S, Wang V, Balkin EA, Rayo MF, Lee CN. Development of a Mobile App for Clinical Research: Challenges and Implications for Investigators. JMIR mHealth and uHealth 2022;10(4):e32244
    CrossRef
  270. Parker SM, Barr M, Stocks N, Denney-Wilson E, Zwar N, Karnon J, Kabir A, Nutbeam D, Roseleur J, Liaw S, McNamara C, Frank O, Tran A, Osborne R, Lau AYS, Harris M. Preventing chronic disease in overweight and obese patients with low health literacy using eHealth and teamwork in primary healthcare (HeLP-GP): a cluster randomised controlled trial. BMJ Open 2022;12(11):e060393
    CrossRef
  271. Gong F, Lei Z, Min H, Yu Y, Huang Z, Liu J, Wu W, Tang J, Sun X, Wu Y. Can smartphone use affect chronic disease self-management among Chinese middle-aged and older adults? A moderated mediation model. Frontiers in Psychology 2022;13
    CrossRef
  272. Songtaweesin WN, LeGrand S, Bandara S, Piccone C, Wongharn P, Moonwong J, Jupimai T, Saisaengjan C, Theerawit T, Muessig K, Hightow-Weidman L, Puthanakit T, Phanuphak N, Tangmunkongvorakul A. Adaptation of a Theory-Based Social Networking and Gamified App-Based Intervention to Improve Pre-Exposure Prophylaxis Adherence Among Young Men Who Have Sex With Men in Bangkok, Thailand: Qualitative Study. Journal of Medical Internet Research 2021;23(11):e23852
    CrossRef
  273. Mat Said Z, Musa KI, Tengku Ismail TA, Abdul Hamid A, Sahathevan R, Abdul Aziz Z, Feigin V. The Effectiveness of Stroke Riskometer™ in Improving Stroke Risk Awareness in Malaysia: A Study Protocol of a Cluster-Randomized Controlled Trial. Neuroepidemiology 2021;55(6):436
    CrossRef
  274. 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
  275. Herrijgers C, Platteau T, Vandebosch H, Poels K, Florence E. Using Intervention Mapping to Develop an mHealth Intervention to Support Men Who Have Sex With Men Engaging in Chemsex (Budd): Development and Usability Study. JMIR Research Protocols 2022;11(12):e39678
    CrossRef
  276. Weishaupt I, Mages-Torluoglu J, Kunze C, Weidmann C, Steinhausen K, Bailer AC. Mobile Digital Health Intervention to Promote Nutrition and Physical Activity Behaviors Among Long-term Unemployed in Rural Areas: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(11):e40321
    CrossRef
  277. Valcarce-Torrente M, Javaloyes V, Gallardo L, García-Fernández J, Planas-Anzano A. Influence of Fitness Apps on Sports Habits, Satisfaction, and Intentions to Stay in Fitness Center Users: An Experimental Study. International Journal of Environmental Research and Public Health 2021;18(19):10393
    CrossRef
  278. Alonso-Fernández D, Gutiérrez-Sánchez , Portela-Pino I, Taboada-Iglesias Y. Evaluation of Applications for Mobile Devices on the Practice of Physical Exercise in Adolescents. Applied Sciences 2022;12(6):2784
    CrossRef
  279. Bellesi G, Morris RG. Using smartphone apps for neuropsychological rehabilitationand the creation of an ‘apps’ hub. The Neuropsychologist 2018;1(6):31
    CrossRef
  280. Bolou A, Lanz D, Drymoussi Z, Gonzalez Carreras FJ, Austin F, Dodds J, Mehay A, Pizzo E, Thomas A, Heighway J, Sanghi A, Harden A, Pérez T, Pardo Llorente MDC, Hitman G, Huda MS, Thangaratinam S. Acceptability and adherence to a Mediterranean diet in the postnatal period to prevent type 2 diabetes in women with gestational diabetes in the UK: a protocol for a single-arm feasibility study (MERIT). BMJ Open 2021;11(12):e050099
    CrossRef
  281. Kytö M, Strömberg L, Tuomonen H, Ruonala A, Koivusalo S, Jacucci G. Behavior Change Apps for Gestational Diabetes Management: Exploring Desirable Features. International Journal of Human–Computer Interaction 2022;38(12):1095
    CrossRef
  282. Smith L, Volkwyn C. Promotion of Physical Activity through Health Applications among Students of Selected Universities – a Preliminary Study. Central European Journal of Sport Sciences and Medicine 2022;38:5
    CrossRef
  283. Wynn CS, Catallozzi M, Kolff CA, Holleran S, Meyer D, Ramakrishnan R, Stockwell MS. Personalized Reminders for Immunization Using Short Messaging Systems to Improve Human Papillomavirus Vaccination Series Completion: Parallel-Group Randomized Trial. JMIR mHealth and uHealth 2021;9(12):e26356
    CrossRef
  284. Martínez-Olcina M, Cuestas-Calero BJ, Miralles-Amorós L, Vicente-Martínez M, Sánchez-Sánchez J. Effectiveness of App-Based Intervention to Improve Health Status of Sedentary Middle-Aged Males and Females. International Journal of Environmental Research and Public Health 2022;19(10):5857
    CrossRef
  285. Kruglova K, O'Connell SBL, Dawadi S, Gelgoot EN, Miner SA, Robins S, Schinazi J, Zelkowitz P. An mHealth App to Support Fertility Patients Navigating the World of Infertility (Infotility): Development and Usability Study. JMIR Formative Research 2021;5(10):e28136
    CrossRef
  286. Lee H, Ahn JS, Lee JE. Development and Validation of a Questionnaire on the Feasibility of a Mobile Dietary Self-Monitoring Application. Korean Journal of Community Nutrition 2022;27(2):146
    CrossRef
  287. Cevallos D, Martín CA, El Mistiri M, Rivera DE, Hekler E. Un esquema de decisiones para intervenciones adaptativas comportamentales de actividad física basado en control predictivo por modelo híbrido: ilustración con Just Walk. Revista Iberoamericana de Automática e Informática industrial 2022;19(3):297
    CrossRef
  288. Schick-Makaroff K, Lagendyk L, Foster B, Lam NN, Braam B, Bello A, Shojai S, Wen K. Designing an App for Immunosuppression Adherence and Communication: A Qualitative Approach. Canadian Journal of Kidney Health and Disease 2022;9:205435812110723
    CrossRef
  289. Hassanaly P, Dufour JC. Analysis of the Regulatory, Legal, and Medical Conditions for the Prescription of Mobile Health Applications in the United States, The European Union, and France. Medical Devices: Evidence and Research 2021;Volume 14:389
    CrossRef
  290. Hong J, Kim SW, Joo H, Kong H. Effects of smartphone mirroring-based telepresence exercise on body composition and physical function in obese older women. Aging Clinical and Experimental Research 2022;34(5):1113
    CrossRef
  291. Mattila E, Hansen S, Bundgaard L, Ramsey L, Dunning A, Silva MN, Harjumaa M, Ermes M, Marques MM, Matos M, Larsen SC, Encantado J, Santos I, Horgan G, O'Driscoll R, Turicchi J, Duarte C, Palmeira AL, Stubbs RJ, Heitmann BL, Lähteenmäki L. Users’ Experiences With the NoHoW Web-Based Toolkit With Weight and Activity Tracking in Weight Loss Maintenance: Long-term Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(1):e29302
    CrossRef
  292. Martínez-García G, Ewing AC, Olugbade Y, DiClemente RJ, Kourtis AP. Crush: A Randomized Trial to Evaluate the Impact of a Mobile Health App on Adolescent Sexual Health. Journal of Adolescent Health 2023;72(2):287
    CrossRef
  293. Galavi Z, Khajouei R, Jahani Y. The role of e-health on the public knowledge and behavior in preventing COVID-19. Informatics in Medicine Unlocked 2023;37:101193
    CrossRef
  294. Malinka C, von Jan U, Albrecht U. Prioritization of Quality Principles for Health Apps Using the Kano Model: Survey Study. JMIR mHealth and uHealth 2022;10(1):e26563
    CrossRef
  295. Martin E, Di Meglio A, Menvielle G, Arvis J, Bourmaud A, Michiels S, Pistilli B, Vaz-Luis I, Dumas A. Informing the development of multidisciplinary interventions to help breast cancer patients return to work: a qualitative study. Supportive Care in Cancer 2022;30(10):8287
    CrossRef
  296. Yuan NP, Brooks AJ, Burke MK, Crocker R, Stoner GM, Cook P, Chen M, Bautista J, Petralba P, Whitewater S, Maizes V. My Wellness Coach: evaluation of a mobile app designed to promote integrative health among underserved populations. Translational Behavioral Medicine 2022;12(6):752
    CrossRef
  297. Dufour S, Clancy A, Wu M. Mise à jour technique No 433 : Cybersanté et incontinence urinaire chez la femme. Journal of Obstetrics and Gynaecology Canada 2023;45(2):160
    CrossRef
  298. Triantafyllidis A, Segkouli S, Zygouris S, Michailidou C, Avgerinakis K, Fappa E, Vassiliades S, Bougea A, Papagiannakis N, Katakis I, Mathioudis E, Sorici A, Bajenaru L, Tageo V, Camonita F, Magga-Nteve C, Vrochidis S, Pedullà L, Brichetto G, Tsakanikas P, Votis K, Tzovaras D. Mobile App Interventions for Parkinson’s Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review. Sensors 2023;23(7):3396
    CrossRef
  299. Esfandiari E, Miller W, King S, Payne M, Mortenson WB, Underwood H, MacKay C, Ashe MC, Blasco JM. Protocol for a randomized controlled trial to assess the effect of Self-Management for Amputee Rehabilitation using Technology (SMART): An online self-management program for individuals with lower limb loss. PLOS ONE 2023;18(3):e0278418
    CrossRef
  300. Nelson LA, Reale C, Anders S, Beebe R, Rosenbloom ST, Hackstadt A, Harper KJ, Mayberry LS, Cobb JG, Peterson N, Elasy T, Yu Z, Martinez W. Empowering patients to address diabetes care gaps: formative usability testing of a novel patient portal intervention. JAMIA Open 2023;6(2)
    CrossRef
  301. Schneider A, Arnold R. Wearables from Head to Toe: Are They Friend or Foe? An Empirical Landscaping of Health and Fitness Wearables and Apps in Six Countries to Identify Emerging Policy Challenges. SSRN Electronic Journal 2022;
    CrossRef
  302. Sadeghi A, Pape S, Harborth D. The Impact of Individuals’ Social Environments on Contact Tracing App Use: Survey Study. JMIR Human Factors 2023;10:e45825
    CrossRef
  303. Stamm-Balderjahn S, Bernert S, Rossek S. Promoting patient self-management following cardiac rehabilitation using a web-based application: A pilot study. DIGITAL HEALTH 2023;9
    CrossRef
  304. Galetsi P, Katsaliaki K, Kumar S. Assessing Technology Innovation of Mobile Health Apps for Medical Care Providers. IEEE Transactions on Engineering Management 2023;70(8):2809
    CrossRef
  305. Walsh CA, Good J, Ismaiel A, Yarborough S, Shen MJ. Development and refinement of a novel end-of-life planning website for patients with advanced cancer: a mixed methods approach. Supportive Care in Cancer 2023;31(12)
    CrossRef
  306. Lin X, Martinengo L, Jabir AI, Ho AHY, Car J, Atun R, Tudor Car L. Scope, Characteristics, Behavior Change Techniques, and Quality of Conversational Agents for Mental Health and Well-Being: Systematic Assessment of Apps. Journal of Medical Internet Research 2023;25:e45984
    CrossRef
  307. Kim H, Lee J. mHealth Interventions to Promote Physical Activity of Adults in Korea: Health Equity-Focused Systematic Review. Journal of Health Informatics and Statistics 2023;48(Suppl 1):S1
    CrossRef
  308. Buono FD, Polonsky M, Sprong ME, Aviles A, Cutter CJ. Feasibility of a remotely monitored blood alcohol concentration device to facilitate treatment motivation. Drug and Alcohol Dependence Reports 2023;9:100202
    CrossRef
  309. Waldman LP, Centracchio JA, Jacobs JM, Petrillo LA, El-Jawahri AR, Temel JS, Greer JA. Study protocol for a randomized trial of a supportive care mobile application to improve symptoms, coping, and quality of life in patients with advanced non-small cell lung cancer. Frontiers in Psychology 2023;14
    CrossRef
  310. Hwang S, Na W, Oh D, Sohn C. Development and Evaluation of a Web-Based Self-Management Program for Korean Adult Patients with Irritable Bowel Syndrome Based on the Information–Motivation–Behavioral Skills Model. Applied Sciences 2023;13(12):6915
    CrossRef
  311. Yoo I, Kong H, Joo H, Choi Y, Kim SW, Lee KE, Hong J. User Experience of Augmented Reality Glasses-based Tele-Exercise in Elderly Women. Healthcare Informatics Research 2023;29(2):161
    CrossRef
  312. Boghrati R, Sharif MA, Yousefi S, Heydarian A. Emotion tracking (vs. reporting) increases the persistence of positive (vs. negative) emotions. Journal of Experimental Social Psychology 2024;110:104556
    CrossRef
  313. Goodman A, Mahoney R, Spurling G, Lawler S. Influencing Factors to mHealth Uptake With Indigenous Populations: Qualitative Systematic Review. JMIR mHealth and uHealth 2023;11:e45162
    CrossRef
  314. Eghdami S, Ahmadkhaniha HR, Baradaran HR, Hirbod-Mobarakeh A. Ecological momentary interventions for smoking cessation: a systematic review and meta-analysis. Social Psychiatry and Psychiatric Epidemiology 2023;58(10):1431
    CrossRef
  315. Abahussin AA, West RM, Wong DC, Ziegler LE, Allsop MJ. Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach. JMIR Cancer 2023;9:e49471
    CrossRef
  316. De G, Sondhi N, Bhattacharjee A, Joshi H. Preventive healthcare behavior: A hybrid systematic literature review (1998–2023). International Journal of Consumer Studies 2024;48(1)
    CrossRef
  317. Grady A, Pearson N, Lamont H, Leigh L, Wolfenden L, Barnes C, Wyse R, Finch M, Mclaughlin M, Delaney T, Sutherland R, Hodder R, Yoong SL. The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2023;25:e47987
    CrossRef
  318. Tomaszewski Farias S, Fox J, Dulaney H, Chan M, Namboodiri S, Harvey DJ, Weakley A, Rahman S, Luna C, Beech BF, Campbell L, Schmitter-Edgecombe M. Memory support training and lifestyle modifications to promote healthy aging in persons at risk for Alzheimer's disease: a digital application supported intervention (Brain Boosters). BMC Geriatrics 2023;23(1)
    CrossRef
  319. Sañudo B, Sanchez-Trigo H, Domínguez R, Flores-Aguilar G, Sánchez-Oliver A, Moral JE, Oviedo-Caro M. A randomized controlled mHealth trial that evaluates social comparison-oriented gamification to improve physical activity, sleep quantity, and quality of life in young adults. Psychology of Sport and Exercise 2024;72:102590
    CrossRef
  320. Nabunya P, Cavazos-Rehg P, Mugisha J, Kasson E, Namuyaba OI, Najjuuko C, Nsubuga E, Filiatreau LM, Mwebembezi A, Ssewamala FM. An mHealth Intervention to Address Depression and Improve Antiretroviral Therapy Adherence Among Youths Living With HIV in Uganda: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols 2024;13:e54635
    CrossRef
  321. Niiberg-Pikksööt T, Laas K, Aluoja A, Braschinsky M, Ayatollahi H. Implementing a digital solution for patients with migraine—Developing a methodology for comparing digitally delivered treatment with conventional treatment: A study protocol. PLOS Digital Health 2024;3(2):e0000295
    CrossRef
  322. Feldberg G, Ricciardi JBS, Zorzi AR, Yamaguti‐Hayakawa GG, Ozelo MC. Promoting pain coping skills in haemophilia: A remote intervention integrating exercise and pain education. Haemophilia 2024;
    CrossRef
  323. Lurz M, Gemesi K, Holzmann SL, Kretzschmar B, Wintergerst M, Groh G, Böhm M, Gedrich K, Hauner H, Krcmar H, Holzapfel C. Characterization of adults concerning the use of a hypothetical mHealth application addressing stress-overeating: an online survey. BMC Public Health 2024;24(1)
    CrossRef
  324. Wortley D, An J, Nigg CR. Wearable technologies, health and well-being: A case review. Digital Medicine 2017;3(1):11
    CrossRef

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  1. Pereira A, Esteves M, Weber AM, Francisco M. Interactive Mobile Communication Technologies and Learning. 2018. Chapter 67:681
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    CrossRef
  8. Levin-Zamir D, Parial LL. Encyclopedia of Gerontology and Population Aging. 2020. Chapter 1085-1:1
    CrossRef
  9. Farmer A, Pal K. Diabetes. Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. 2018. Chapter 13-1:1
    CrossRef
  10. Adewumi A, Olatunde G, Misra S, Maskeliūnas R, Damaševičius R. Information Technology Science. 2018. Chapter 3:23
    CrossRef
  11. Kim KK, Jalil S, Ngo V. Consumer Informatics and Digital Health. 2019. Chapter 12:221
    CrossRef
  12. . Ethical Dimensions of Commercial and DIY Neurotechnologies. 2020. :63
    CrossRef
  13. Blankers M, Salemink E, Wiers RW. e-Mental Health. 2016. Chapter 10:193
    CrossRef
  14. Bamidis P, Gabarron E, Hors-Fraile S, Konstantinidis E, Konstantinidis S, Rivera O. Participatory Health Through Social Media. 2016. :112
    CrossRef
  15. Sacramento I, Wanick V. Mobile e-Health. 2017. Chapter 3:39
    CrossRef
  16. Alturki R, Gay V. Recent Trends and Advances in Wireless and IoT-enabled Networks. 2019. Chapter 5:53
    CrossRef
  17. LaBelle M, Strong C, Tseng Y. Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity. 2020. Chapter 9:99
    CrossRef
  18. Riva S, Hampton P, Chinyio E. Collaboration and Integration in Construction, Engineering, Management and Technology. 2021. Chapter 79:477
    CrossRef
  19. Mukami V, Millham R, Puckree T, Fong SJ. Proceeding of First Doctoral Symposium on Natural Computing Research. 2021. Chapter 18:173
    CrossRef
  20. Dugdale SL, Semper HM. Digital Innovations for Mental Health Support. 2022. chapter 4:56
    CrossRef
  21. Folta SC, Brown AGM, Blumberg JB. Preventive Nutrition. 2015. Chapter 1:3
    CrossRef
  22. Levin-Zamir D, Parial LL. Encyclopedia of Gerontology and Population Aging. 2021. Chapter 1085:1439
    CrossRef
  23. Guo Y, Bian J. Smartphone Apps for Health and Wellness. 2023. :73
    CrossRef
  24. Lurz M, Prommegger B, Böhm M, Krcmar H. Human-Computer Interaction. 2023. Chapter 4:50
    CrossRef