Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 01.05.14 in Vol 2, No 2 (2014): Apr-Jun

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

Works citing "An Evaluation of Mobile Health Application Tools"

Preethi R Sama, Zubin J Eapen, Kevin P Weinfurt, Bimal R Shah, Kevin A Schulman

JMIR Mhealth Uhealth 2014 (May 01); 2(2):e19 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.3088):

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

  1. REY-MARTÍNEZ J, ESPINOSA-SÁNCHEZ JM. Diseño y desarrollo de una aplicación para dispositivos móviles para el seguimiento y control de la enfermedad de Ménière. Revista ORL 2019;10(1):11
    CrossRef
  2. Imschloss M, Lorenz J. How Mobile App Design Impacts User Responses to Mixed Self-Tracking Outcomes: Randomized Online Experiment to Explore the Role of Spatial Distance for Hedonic Editing. JMIR mHealth and uHealth 2018;6(4):e81
    CrossRef
  3. 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
  4. Wang T, Ren M, Shen Y, Zhu X, Zhang X, Gao M, Chen X, Zhao A, Shi Y, Chai W, Liu X, Sun X. The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects. JMIR mHealth and uHealth 2019;7(9):e12606
    CrossRef
  5. Alyami M, Giri B, Alyami H, Sundram F. Social anxiety apps: a systematic review and assessment of app descriptors across mobile store platforms. Evidence Based Mental Health 2017;20(3):65
    CrossRef
  6. . Third Age and Mobile Health. International Journal of Reliable and Quality E-Healthcare 2019;8(4):67
    CrossRef
  7. Nguyen KT, Olgin JE, Pletcher MJ, Ng M, Kaye L, Moturu S, Gladstone RA, Malladi C, Fann AH, Maguire C, Bettencourt L, Christensen MA, Marcus GM. Smartphone-Based Geofencing to Ascertain Hospitalizations. Circulation: Cardiovascular Quality and Outcomes 2017;10(3)
    CrossRef
  8. 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
  9. Silva W, Viana R, Santos D, Vancini R, Andrade M, de Lira C. Profiling Rest Intervals between Sets and Associated Factors in Resistance Training Participants. Sports 2018;6(4):134
    CrossRef
  10. Gabrielli S, Dianti M, Maimone R, Betta M, Filippi L, Ghezzi M, Forti S. Design of a Mobile App for Nutrition Education (TreC-LifeStyle) and Formative Evaluation With Families of Overweight Children. JMIR mHealth and uHealth 2017;5(4):e48
    CrossRef
  11. Holtz BE, Murray KM, Hershey DD, Dunneback JK, Cotten SR, Holmstrom AJ, Vyas A, Kaiser MK, Wood MA. Developing a Patient-Centered mHealth App: A Tool for Adolescents With Type 1 Diabetes and Their Parents. JMIR mHealth and uHealth 2017;5(4):e53
    CrossRef
  12. Paglialonga A, Pinciroli F, Tognola G. The ALFA4Hearing Model (At-a-Glance Labeling for Features of Apps for Hearing Health Care) to Characterize Mobile Apps for Hearing Health Care. American Journal of Audiology 2017;26(3S):408
    CrossRef
  13. 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
    CrossRef
  14. Jacques A, Chaaya N, Beecher K, Ali SA, Belmer A, Bartlett S. The impact of sugar consumption on stress driven, emotional and addictive behaviors. Neuroscience & Biobehavioral Reviews 2019;103:178
    CrossRef
  15. Larrosa F, Rama-Lopez J, Benitez J, Morales JM, Martinez A, Alañon MA, Arancibia-Tagle D, Batuecas-Caletrio A, Martinez-Lopez M, Perez-Fernandez N, Gimeno C, Ispizua A, Urrutikoetxea A, Rey-Martinez J. Development and evaluation of an audiology app for iPhone/iPad mobile devices. Acta Oto-Laryngologica 2015;135(11):1119
    CrossRef
  16. . Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11
    CrossRef
  17. Kim J, Thapa B, Jang S, Yang E. Seasonal Spatial Activity Patterns of Visitors with a Mobile Exercise Application at Seoraksan National Park, South Korea. Sustainability 2018;10(7):2263
    CrossRef
  18. Yang X, Ma L, Zhao X, Kankanhalli A. Factors influencing user’s adherence to physical activity applications: A scoping literature review and future directions. International Journal of Medical Informatics 2020;134:104039
    CrossRef
  19. Alenazi HA, Jamal A, Batais MA. Identification of Type 2 Diabetes Management Mobile App Features and Engagement Strategies: Modified Delphi Approach. JMIR mHealth and uHealth 2020;8(9):e17083
    CrossRef
  20. YUNGWOOKKIM , Haein Kim , Hyeonji Moon , 이하나 . A Study on Usage Effect and Acceptance Factors of a Particulate Matter Application (App). Journal of Public Relations 2017;21(4):114
    CrossRef
  21. Åkerberg A, Söderlund A, Lindén M. Investigation of the validity and reliability of a smartphone pedometer application. European Journal of Physiotherapy 2016;18(3):185
    CrossRef
  22. Zhang M, Yu J, Shen W, Zhang Y, Xiang Y, Zhang X, Lin Z, Yan T. A mobile app implementing the international classification of functioning, disability and health rehabilitation set. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  23. Hsu J, Liu D, Yu YM, Zhao HT, Chen ZR, Li J, Chen W. The Top Chinese Mobile Health Apps: A Systematic Investigation. Journal of Medical Internet Research 2016;18(8):e222
    CrossRef
  24. Shen N, Levitan M, Johnson A, Bender JL, Hamilton-Page M, Jadad AR, Wiljer D. Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace. JMIR mHealth and uHealth 2015;3(1):e16
    CrossRef
  25. Metelmann B, Metelmann C, Schuffert L, Hahnenkamp K, Brinkrolf P. Medical Correctness and User Friendliness of Available Apps for Cardiopulmonary Resuscitation: Systematic Search Combined With Guideline Adherence and Usability Evaluation. JMIR mHealth and uHealth 2018;6(11):e190
    CrossRef
  26. Segura-Garcia J, Garcia-Pineda M, Tamarit-Tronch M, Cibrian R, Salvador-Palmer R. Cost-Effective eHealth System Based on a Multi-Sensor System-on-Chip Platform and Data Fusion in Cloud for Sport Activity Monitoring. Electronics 2018;7(9):183
    CrossRef
  27. Ouhbi S, Fernández-Alemán JL, Toval A, Idri A, Pozo JR. Free Blood Donation Mobile Applications. Journal of Medical Systems 2015;39(5)
    CrossRef
  28. de Garibay VG, Fernández MA, de la Torre-Díez I, López-Coronado M. Utility of a mHealth App for Self-Management and Education of Cardiac Diseases in Spanish Urban and Rural Areas. Journal of Medical Systems 2016;40(8)
    CrossRef
  29. Oeldorf-Hirsch A, High AC, Christensen JL. Count Your Calories and Share Them: Health Benefits of Sharing mHealth Information on Social Networking Sites. Health Communication 2019;34(10):1130
    CrossRef
  30. Liu Y, Chen C, Lee C, Lin Y, Chen H, Yeh J, Chiu SY. Design and usability evaluation of user-centered and visual-based aids for dietary food measurement on mobile devices in a randomized controlled trial. Journal of Biomedical Informatics 2016;64:122
    CrossRef
  31. Wang C, Chaovalit P, Pongnumkul S. A Breastfeed-Promoting Mobile App Intervention: Usability and Usefulness Study. JMIR mHealth and uHealth 2018;6(1):e27
    CrossRef
  32. Guede-Fernández F, Ferrer-Mileo V, Mateu-Mateus M, Ramos-Castro J, García-González M, Fernández-Chimeno M. A photoplethysmography smartphone-based method for heart rate variability assessment: device model and breathing influences. Biomedical Signal Processing and Control 2020;57:101717
    CrossRef
  33. 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
  34. Barczik J, Serpanos YC. Accuracy of Smartphone Self-Hearing Test Applications Across Frequencies and Earphone Styles in Adults. American Journal of Audiology 2018;27(4):570
    CrossRef
  35. . Pathways for translating behavioral medicine research to practice and policy. Translational Behavioral Medicine 2019;9(6):1248
    CrossRef
  36. Georgsson M, Staggers N, Årsand E, Kushniruk A. Employing a user-centered cognitive walkthrough to evaluate a mHealth diabetes self-management application: A case study and beginning method validation. Journal of Biomedical Informatics 2019;91:103110
    CrossRef
  37. Druce KL, Dixon WG, McBeth J. Maximizing Engagement in Mobile Health Studies. Rheumatic Disease Clinics of North America 2019;45(2):159
    CrossRef
  38. Daniëls NEM, Hochstenbach LMJ, van Bokhoven MA, Beurskens AJHM, Delespaul PAEG. Implementing Experience Sampling Technology for Functional Analysis in Family Medicine – A Design Thinking Approach. Frontiers in Psychology 2019;10
    CrossRef
  39. Enciso J, Variya D, Sunthonlap J, Sarmiento T, Lee KM, Velasco J, Pebdani RN, de Leon RD, Dy C, Keslacy S, Won DS. Electromyography-Driven Exergaming in Wheelchairs on a Mobile Platform: Bench and Pilot Testing of the WOW-Mobile Fitness System. JMIR Rehabilitation and Assistive Technologies 2021;8(1):e16054
    CrossRef
  40. Giesbrecht EM, Miller WC. A randomized control trial feasibility evaluation of anmHealth intervention for wheelchair skill training among middle-aged and older adults. PeerJ 2017;5:e3879
    CrossRef
  41. Ferdinand KC, Senatore FF, Clayton-Jeter H, Cryer DR, Lewin JC, Nasser SA, Fiuzat M, Califf RM. Improving Medication Adherence in Cardiometabolic Disease. Journal of the American College of Cardiology 2017;69(4):437
    CrossRef
  42. Angelini S, Alicastro GM, Dionisi S, Di Muzio M. Structure and Characteristics of Diabetes Self-management Applications. CIN: Computers, Informatics, Nursing 2019;37(7):340
    CrossRef
  43. Moumtzoglou A, Pouliakis A. Population Health Management and the Science of Individuality. International Journal of Reliable and Quality E-Healthcare 2018;7(2):1
    CrossRef
  44. Garnweidner-Holme L, Hoel Andersen T, Sando MW, Noll J, Lukasse M. Health Care Professionals’ Attitudes Toward, and Experiences of Using, a Culture-Sensitive Smartphone App for Women with Gestational Diabetes Mellitus: Qualitative Study. JMIR mHealth and uHealth 2018;6(5):e123
    CrossRef
  45. 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
  46. Choo S, Kim JY, Jung SY, Kim S, Kim JE, Han JS, Kim S, Kim JH, Kim J, Kim Y, Kim D, Steinhubl S. Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship. JMIR mHealth and uHealth 2016;4(1):e24
    CrossRef
  47. . 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
  48. . Communication, Sportsmanship, and Negotiating Ethical Conduct on the Digital Playing Field. Communication & Sport 2017;5(2):160
    CrossRef
  49. Lai D, Zhong J, Lu T, Pu J. Patient education in sudden sensorineural hearing loss: Knowledge, attitude/belief, and practice findings among otolaryngologists and otologists in China. Patient Education and Counseling 2019;102(1):93
    CrossRef
  50. . Algorithmic vulnerabilities and the datalogical: Early motherhood and tracking-as-care regimes. Convergence: The International Journal of Research into New Media Technologies 2019;25(2):171
    CrossRef
  51. Maycock BR, Scott JA, Hauck YL, Burns SK, Robinson S, Giglia R, Jorgensen A, White B, Harries A, Dhaliwal S, Howat PA, Binns CW. A study to prolong breastfeeding duration: design and rationale of the Parent Infant Feeding Initiative (PIFI) randomised controlled trial. BMC Pregnancy and Childbirth 2015;15(1)
    CrossRef
  52. Ramirez V, Johnson E, Gonzalez C, Ramirez V, Rubino B, Rossetti G. Assessing the Use of Mobile Health Technology by Patients: An Observational Study in Primary Care Clinics. JMIR mHealth and uHealth 2016;4(2):e41
    CrossRef
  53. Lee Y, Moon M. Utilization and Content Evaluation of Mobile Applications for Pregnancy, Birth, and Child Care. Healthcare Informatics Research 2016;22(2):73
    CrossRef
  54. Donevant SB, Estrada RD, Culley JM, Habing B, Adams SA. Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature. Journal of the American Medical Informatics Association 2018;25(10):1407
    CrossRef
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. Figueroa JF, Schnipper JL, McNally K, Stade D, Lipsitz SR, Dalal AK. How often are hospitalized patients and providers on the same page with regard to the patient's primary recovery goal for hospitalization?. Journal of Hospital Medicine 2016;11(9):615
    CrossRef
  61. Chung AE, Griffin AC, Selezneva D, Gotz D. Health and Fitness Apps for Hands-Free Voice-Activated Assistants: Content Analysis. JMIR mHealth and uHealth 2018;6(9):e174
    CrossRef
  62. Forman EM, Goldstein SP, Crochiere RJ, Butryn ML, Juarascio AS, Zhang F, Foster GD. Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss. Translational Behavioral Medicine 2019;9(6):989
    CrossRef
  63. Sperlich B, Hahn L, Edel A, Behr T, Helmprobst J, Leppich R, Wallmann-Sperlich B, Holmberg H. A 4-Week Intervention Involving Mobile-Based Daily 6-Minute Micro-Sessions of Functional High-Intensity Circuit Training Improves Strength and Quality of Life, but Not Cardio-Respiratory Fitness of Young Untrained Adults. Frontiers in Physiology 2018;9
    CrossRef
  64. Chen J, Bauman A, Allman-Farinelli M. A Study to Determine the Most Popular Lifestyle Smartphone Applications and Willingness of the Public to Share Their Personal Data for Health Research. Telemedicine and e-Health 2016;22(8):655
    CrossRef
  65. Ribeiro N, Moreira L, Almeida AMP, Santos-Silva F. Pilot study of a smartphone-based intervention to promote cancer prevention behaviours. International Journal of Medical Informatics 2017;108:125
    CrossRef
  66. Flanagin VL, Fisher P, Olcay B, Kohlbecher S, Brandt T. A bedside application-based assessment of spatial orientation and memory: approaches and lessons learned. Journal of Neurology 2019;266(S1):126
    CrossRef
  67. Alencar DDC, Carvalho DBF, Silva PRV. Online support of virtual communities to diabetes mellitus carrier: bibliometric review. Revista de Pesquisa Cuidado é Fundamental Online 2020;:1208
    CrossRef
  68. Wang W, Reani M. The rise of mobile computing for Group Decision Support Systems: A comparative evaluation of mobile and desktop. International Journal of Human-Computer Studies 2017;104:16
    CrossRef
  69. McKay FH, Slykerman S, Dunn M. The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change. JMIR mHealth and uHealth 2019;7(1):e11130
    CrossRef
  70. DeForte S, Sezgin E, Huefner J, Lucius S, Luna J, Satyapriya AA, Malhotra P. Usability of a Mobile App for Improving Literacy in Children With Hearing Impairment: Focus Group Study. JMIR Human Factors 2020;7(2):e16310
    CrossRef
  71. Smith WR, Treem J. Striving to Be King of Mobile Mountains: Communication and Organizing Through Digital Fitness Technology. Communication Studies 2017;68(2):135
    CrossRef
  72. Dixon WG, Michaud K. Using technology to support clinical care and research in rheumatoid arthritis. Current Opinion in Rheumatology 2018;30(3):276
    CrossRef
  73. Oyebode O, Alqahtani F, Orji R. Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews. IEEE Access 2020;8:111141
    CrossRef
  74. Dhiman N, Arora N, Dogra N, Gupta A. Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective. Journal of Indian Business Research 2019;12(3):363
    CrossRef
  75. Revenäs , Opava CH, Martin C, Demmelmaier I, Keller C, Åsenlöf P. Development of a Web-Based and Mobile App to Support Physical Activity in Individuals With Rheumatoid Arthritis: Results From the Second Step of a Co-Design Process. JMIR Research Protocols 2015;4(1):e22
    CrossRef
  76. Xu W, Liu Y. mHealthApps: A Repository and Database of Mobile Health Apps. JMIR mHealth and uHealth 2015;3(1):e28
    CrossRef
  77. 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
  78. Inupakutika D, Kaghyan S, Akopian D, Chalela P, Ramirez AG. Facilitating the development of cross-platform mHealth applications for chronic supportive care and a case study. Journal of Biomedical Informatics 2020;105:103420
    CrossRef
  79. Yang Q, Van Stee SK. The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review. JMIR mHealth and uHealth 2019;7(4):e11244
    CrossRef
  80. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(1):e17187
    CrossRef
  81. Heuser J, Maeda A, Yang L, Masino C, Duggal S, Jackson T, Okrainec A. Impact of a Mobile App to Support Home Recovery of Patients Undergoing Bariatric Surgery. Journal of Surgical Research 2021;261:179
    CrossRef
  82. 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
  83. Wang Y, Collins WB. Systematic evaluation of mobile fitness apps: Apps as the Tutor, Recorder, Game Companion, and Cheerleader. Telematics and Informatics 2021;59:101552
    CrossRef
  84. Golden EA, Zweig M, Danieletto M, Landell K, Nadkarni G, Bottinger E, Katz L, Somarriba R, Sharma V, Katz CL, Marin DB, DePierro J, Charney DS. A Resilience-Building App to Support the Mental Health of Health Care Workers in the COVID-19 Era: Design Process, Distribution, and Evaluation. JMIR Formative Research 2021;5(5):e26590
    CrossRef
  85. Liu XH, Jin F, Hsu J, Li DN, Chen W. Comparing Smartphone Apps for Traditional Chinese Medicine and Modern Medicine in China: Systematic Search and Content Analysis. JMIR mHealth and uHealth 2021;9(3):e27406
    CrossRef
  86. Alvarez-Galvez J, Suarez-Lledo V, Rojas-Garcia A. Determinants of Infodemics During Disease Outbreaks: A Systematic Review. Frontiers in Public Health 2021;9
    CrossRef
  87. Rouzaud Laborde C, Cenko E, Mardini MT, Nerella S, Kheirkhahan M, Ranka S, Fillingim RB, Corbett DB, Weber E, Rashidi P, Manini T. Satisfaction, Usability, and Compliance With the Use of Smartwatches for Ecological Momentary Assessment of Knee Osteoarthritis Symptoms in Older Adults: Usability Study. JMIR Aging 2021;4(3):e24553
    CrossRef
  88. Giesbrecht EM, Miller WC, Jin BT, Mitchell IM, Eng JJ. Rehab on Wheels: A Pilot Study of Tablet-Based Wheelchair Training for Older Adults. JMIR Rehabilitation and Assistive Technologies 2015;2(1):e3
    CrossRef
  89. 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
  90. Chow JC, Elizabeth Pathak L, Yeh ST. Using mobile apps in social work behavioral health care service: The case for China. International Social Work 2021;64(5):689
    CrossRef
  91. Alghareeb M, Albesher AS, Asif A. Studying Users’ Perceptions of COVID-19 Mobile Applications in Saudi Arabia. Sustainability 2023;15(2):956
    CrossRef
  92. 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
  93. Adiyasa RP, Wirata RB. Determinants of BECA (breasts examination for cancer awareness) mobile application use. Enfermería Clínica 2023;33:S1
    CrossRef
  94. . 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
  95. Wang Z, Xiong H, Zhang J, Yang S, Boukhechba M, Zhang D, Barnes LE, Dou D. From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet of Things Journal 2022;9(17):15413
    CrossRef
  96. Kleinman K, Huang V, Canares T. Smartphone Applications for the General Pediatric Provider: A Comprehensive Review. Clinical Pediatrics 2023;62(5):389
    CrossRef
  97. Choi H, Keil M, Baird AM. Intention to use smartwatch health applications: A regulatory fit and locus of control perspective. Information & Management 2022;59(6):103687
    CrossRef
  98. Lozano-Chacon B, Suarez-Lledo V, Alvarez-Galvez J. Use and Effectiveness of Social-Media-Delivered Weight Loss Interventions among Teenagers and Young Adults: A Systematic Review. International Journal of Environmental Research and Public Health 2021;18(16):8493
    CrossRef
  99. Lee JW, Park SJ, Han DH. Factors Associated with Intention of Sustainable Use in Players of the Wii Fit or Smartphone-Based Fitness Applications. International Journal of Human–Computer Interaction 2024;40(4):999
    CrossRef
  100. RAO VN, KALTENBACH LA, GRANGER BB, FONAROW GC, AL-KHALIDI HR, ALBERT NM, BUTLER J, ALLEN LA, LANFEAR DE, ARIELY D, MILLER JM, BRODSKY MA, LALONDE TA, LAFFERTY JC, GRANGER CB, HERNANDEZ AF, DEVORE AD. The Association of Digital Health Application Use With Heart Failure Care and Outcomes: Insights From CONNECT-HF. Journal of Cardiac Failure 2022;28(10):1487
    CrossRef
  101. Blanke J, Billieux J, Vögele C. A theory‐driven design framework for smartphone applications to support healthy and sustainable grocery shopping. Human Behavior and Emerging Technologies 2021;3(5):687
    CrossRef
  102. Kelly PJ, Beck AK, Deane FP, Larance B, Baker AL, Hides L, Manning V, Shakeshaft A, Neale J, Kelly JF, Oldmeadow C, Searles A, Palazzi K, Lawson K, Treloar C, Gray RM, Argent A, McGlaughlin R. Feasibility of a Mobile Health App for Routine Outcome Monitoring and Feedback in SMART Recovery Mutual Support Groups: Stage 1 Mixed Methods Pilot Study. Journal of Medical Internet Research 2021;23(10):e25217
    CrossRef
  103. Donadello I, Dragoni M. AI-enabled persuasive personal health assistant. Social Network Analysis and Mining 2022;12(1)
    CrossRef
  104. SORRENTINO F, BROTTO D, FAVARETTO N, FRANCHELLA S, CAZZADOR D, GHELLER F, ZANOLETTI E, TREVISI P, BOVO R, MARTINI A. Innovative diagnostic and rehabilitative tools in audiology and otoneurology. Otorhinolaryngology 2021;71(3)
    CrossRef
  105. Sun M, Jiang LC. Linking social features of fitness apps with physical activity among Chinese users: Evidence from self-reported and self-tracked behavioral data. Information Processing & Management 2022;59(6):103096
    CrossRef
  106. Hu J, He W, Zhang J, Song J. Examining the impacts of fitness app features on user well-being. Information & Management 2023;60(5):103796
    CrossRef
  107. Buono FD, Larkin K, Pham Q, De Sousa D, Zempsky WT, Lalloo C, Stinson JN. Maintaining Engagement in Adults with Neurofibromatosis Type 1 to Use the iCanCope Mobile Application (iCanCope-NF). Cancers 2023;15(12):3213
    CrossRef
  108. USLU D, ARIKAN G. Engelsiz Sağlık İletişim Merkezi Mobil Uygulamasının Sistem Kullanılabilirlik Değerlendirilmesi. Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 2023;25(2):567
    CrossRef
  109. 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

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.3088):

  1. Moumtzoglou A, Pouliakis A. Data Analytics in Medicine. 2020. chapter 4:74
    CrossRef
  2. Bregenzer A, Jiménez P. Handbuch Digitale Wirtschaft. 2019. Chapter 30-1:1
    CrossRef
  3. Eichhorn C, Plecher DA, Lurz M, Leipold N, Böhm M, Krcmar H, Ott A, Volkert D, Hiyama A, Klinker G. Human Aspects of IT for the Aged Population. Healthy and Active Aging. 2020. Chapter 4:47
    CrossRef
  4. Owusu E, Chakraborty J. Intelligent Human Systems Integration 2019. 2019. Chapter 84:557
    CrossRef
  5. Pouliakis A, Archondakis S, Margari N, Karakitsos P. M-Health Innovations for Patient-Centered Care. 2016. chapter 12:240
    CrossRef
  6. . M‐Health: Fundamentals and Applications. 2016. :189
    CrossRef
  7. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. 2019. chapter 7:161
    CrossRef
  8. Wong MW, Ye Q, Chan Kylar YK, Pang W, Kwan KC. Wireless Mobile Communication and Healthcare. 2017. Chapter 4:29
    CrossRef
  9. Yu Y, Chen Q. Smart Health. 2019. Chapter 11:117
    CrossRef
  10. Van Stee SK, Yang Q. Technology and Health. 2020. :243
    CrossRef
  11. Trobec R, Tomašić I, Rashkovska A, Depolli M, Avbelj V. Body Sensors and Electrocardiography. 2018. Chapter 6:101
    CrossRef
  12. Lindén M, Björkman M, Duboy MV. Encyclopedia of E-Health and Telemedicine. 2016. chapter 44:563
    CrossRef
  13. Tamposis I, Pouliakis A, Fezoulidis I, Karakitsos P. Medical Imaging. 2017. chapter 41:1020
    CrossRef
  14. Pouliakis A, Margari N, Karakitsou E, Archondakis S, Karakitsos P. Emerging Developments and Practices in Oncology. 2018. chapter 5:114
    CrossRef
  15. De Santo A, Holzer A. Information Systems. 2020. Chapter 25:331
    CrossRef
  16. Tamposis I, Pouliakis A, Fezoulidis I, Karakitsos P. M-Health Innovations for Patient-Centered Care. 2016. chapter 5:91
    CrossRef
  17. Pouliakis A, Archondakis S, Margari N, Karakitsos P. Data Analytics in Medicine. 2020. chapter 96:1921
    CrossRef
  18. Azorin-Lopez J, Fuster-Guillo A, Saval-Calvo M, Bradley D. Mechatronic Futures. 2016. Chapter 12:179
    CrossRef
  19. Pouliakis A, Karakitsou E, Margari N. Mobile Health Applications for Quality Healthcare Delivery. 2019. chapter 7:136
    CrossRef
  20. Giazitzi K, Karathanos VT, Boskou G. Quality Assurance in the Era of Individualized Medicine. 2020. chapter 6:147
    CrossRef
  21. Paglialonga A, Mastropietro A, Scalco E, Rizzo G. m_Health Current and Future Applications. 2019. Chapter 2:5
    CrossRef
  22. Kang K, Wang C. Internet of Things. User-Centric IoT. 2015. Chapter 31:217
    CrossRef
  23. Moumtzoglou AS, Pouliakis A. Quality Assurance in the Era of Individualized Medicine. 2020. chapter 2:21
    CrossRef
  24. Ikwunne T, Hederman L, Wall PJ. HCI International 2020 - Late Breaking Papers: User Experience Design and Case Studies. 2020. Chapter 46:710
    CrossRef
  25. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. 2020. Chapter 30-2:1
    CrossRef
  26. Pouliakis A, Margari N, Karakitsou E, Archondakis S, Karakitsos P. Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing. 2021. chapter 85:1740
    CrossRef
  27. Lodha C, Dhingra K, Mondal R, Goyal S. Smart Intelligent Computing and Applications, Volume 2. 2022. Chapter 39:403
    CrossRef
  28. Rodrigues JM, Oliveira F, Ribeiro CP, Santos RC. Digital Therapies in Psychosocial Rehabilitation and Mental Health. 2022. chapter 2:21
    CrossRef
  29. Moumtzoglou AS, Pouliakis A. Quality of Healthcare in the Aftermath of the COVID-19 Pandemic. 2022. chapter 2:8
    CrossRef
  30. . The International Encyclopedia of Health Communication. 2022. :1
    CrossRef
  31. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. 2021. Chapter 30:501
    CrossRef
  32. Guerrero E, Lindgren H. Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. 2021. Chapter 9:101
    CrossRef
  33. Folta SC, Brown AGM, Blumberg JB. Preventive Nutrition. 2015. Chapter 1:3
    CrossRef