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 02.11.16 in Vol 18, No 11 (2016): November

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

Works citing "Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review"

Jing Zhao, Becky Freeman, Mu Li

J Med Internet Res 2016 (Nov 02); 18(11):e287 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5692):

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

  1. Allen ME, Irizarry T, Einhorn J, Kamarck TW, Suffoletto BP, Burke LE, Rollman BL, Muldoon MF. SMS-facilitated home blood pressure monitoring: A qualitative analysis of resultant health behavior change. Patient Education and Counseling 2019;102(12):2246
    CrossRef
  2. Sawares AS, Shen N, Xue Y, Abi-Jaoude A, Wiljer D. The Impact of Mobile Apps on Alcohol Use Disorder: A Systematic Review Protocol. JMIR Research Protocols 2017;6(4):e49
    CrossRef
  3. Jones F, Whitehouse A, Dopson A, Palaghias N, Aldiss S, Gibson F, Shawe J. Reducing unintentional injuries in under fives: Development and testing of a mobile phone app. Child: Care, Health and Development 2020;46(2):203
    CrossRef
  4. Wiecek E, Torres-Robles A, Cutler RL, Benrimoj SI, Garcia-Cardenas V. Impact of a Multicomponent Digital Therapeutic Mobile App on Medication Adherence in Patients with Chronic Conditions: Retrospective Analysis. Journal of Medical Internet Research 2020;22(8):e17834
    CrossRef
  5. Issom D, Henriksen A, Woldaregay AZ, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599
    CrossRef
  6. 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
  7. Nwolise CH, Carey N, Shawe J. Exploring the acceptability and feasibility of a preconception and diabetes information app for women with pregestational diabetes: A mixed-methods study protocol. DIGITAL HEALTH 2017;3:205520761772641
    CrossRef
  8. Whittaker R, McRobbie H, Bullen C, Rodgers A, Gu Y, Dobson R. Mobile phone text messaging and app-based interventions for smoking cessation. Cochrane Database of Systematic Reviews 2019;
    CrossRef
  9. Tavares BF, Pires IM, Marques G, Garcia NM, Zdravevski E, Lameski P, Trajkovik V, Jevremovic A. Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Information 2020;11(7):343
    CrossRef
  10. Roberts KJ, McAdams RJ, Kristel OV, Szymanski AM, McKenzie LB. Qualitative and Quantitative Evaluation of the Make Safe Happen App: Mobile Technology–Based Safety Behavior Change Intervention for Parents. JMIR Pediatrics and Parenting 2019;2(1):e12022
    CrossRef
  11. Arevian AC, O'Hora J, Rosser J, Mango JD, Miklowitz DJ, Wells KB. Patient and Provider Cocreation of Mobile Texting Apps to Support Behavioral Health: Usability Study. JMIR mHealth and uHealth 2020;8(7):e12655
    CrossRef
  12. 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
  13. Clarke P, Evans SH, Neffa-Creech D. Mobile app increases vegetable-based preparations by low-income household cooks: a randomized controlled trial. Public Health Nutrition 2019;22(4):714
    CrossRef
  14. Ng K, Tynjälä J, Kokko S. Ownership and Use of Commercial Physical Activity Trackers Among Finnish Adolescents: Cross-Sectional Study. JMIR mHealth and uHealth 2017;5(5):e61
    CrossRef
  15. Buis LR, McCant FA, Gierisch JM, Bastian LA, Oddone EZ, Richardson CR, Kim HM, Evans R, Hooks G, Kadri R, White-Clark C, Damschroder LJ. Understanding the Effect of Adding Automated and Human Coaching to a Mobile Health Physical Activity App for Afghanistan and Iraq Veterans: Protocol for a Randomized Controlled Trial of the Stay Strong Intervention. JMIR Research Protocols 2019;8(1):e12526
    CrossRef
  16. Gallagher R, Parker H, Zhang L, Kirkness A, Roach K, Belshaw J, Glinatsis H, Gallagher P, Neubeck L. Target Audience and Preferences Related to an Australian Coronary Heart Disease Specific Mobile App: A Mixed Methods Study. Heart, Lung and Circulation 2020;29(5):696
    CrossRef
  17. 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
  18. Vergani L, Marton G, Pizzoli SFM, Monzani D, Mazzocco K, Pravettoni G. Training Cognitive Functions Using Mobile Apps in Breast Cancer Patients: Systematic Review. JMIR mHealth and uHealth 2019;7(3):e10855
    CrossRef
  19. O'Reilly SL, Laws R. Health‐e mums: Evaluating a smartphone app design for diabetes prevention in women with previous gestational diabetes. Nutrition & Dietetics 2019;76(5):507
    CrossRef
  20. 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
  21. Tait RJ, Kirkman JJL, Schaub MP. A Participatory Health Promotion Mobile App Addressing Alcohol Use Problems (The Daybreak Program): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2018;7(5):e148
    CrossRef
  22. 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
  23. Cawley C, Buckenmeyer H, Jellison T, Rinaldi JB, Vartanian KB. Effect of a Health System–Sponsored Mobile App on Perinatal Health Behaviors: Retrospective Cohort Study. JMIR mHealth and uHealth 2020;8(7):e17183
    CrossRef
  24. Zhang H, Gil TS, Kang E. A feasibility study of Korean Mobile Application Rating Scale (MARS) for evaluating the quality of blood pressure management apps. Korean Journal of Health Education and Promotion 2018;35(3):41
    CrossRef
  25. Peng C, He M, Cutrona SL, Kiefe CI, Liu F, Wang Z. Theme Trends and Knowledge Structure on Mobile Health Apps: Bibliometric Analysis. JMIR mHealth and uHealth 2020;8(7):e18212
    CrossRef
  26. Schellong J, Lorenz P, Weidner K. Proposing a standardized, step-by-step model for creating post-traumatic stress disorder (PTSD) related mobile mental health apps in a framework based on technical and medical norms. European Journal of Psychotraumatology 2019;10(1)
    CrossRef
  27. Stec M, Arbour MW. Wellness and Disease Self-Management Mobile Health Apps Evaluated by the Mobile Application Rating Scale. Advances in Family Practice Nursing 2020;2:87
    CrossRef
  28. van Heerden A, Sen D, Desmond C, Louw J, Richter L. App-Supported Promotion of Child Growth and Development by Community Health Workers in Kenya: Feasibility and Acceptability Study. JMIR mHealth and uHealth 2017;5(12):e182
    CrossRef
  29. Jones A, Mitchell LJ, O'Connor R, Rollo ME, Slater K, Williams LT, Ball L. Investigating the Perceptions of Primary Care Dietitians on the Potential for Information Technology in the Workplace: Qualitative Study. Journal of Medical Internet Research 2018;20(10):e265
    CrossRef
  30. Vera-Jiménez JC, Ferreiro-González M, Barbero GF, Álvarez J, Fernández-Zacarías F, Ayuso J. OTP-PRL: an app for occupational risk prevention in policing activities. BMC Public Health 2019;19(1)
    CrossRef
  31. Long S, Hasenfuß G, Raupach T. Apps in der Inneren Medizin. Der Internist 2019;60(4):324
    CrossRef
  32. Huebner J, Fleisch E, Ilic A. Assisting mental accounting using smartphones: Increasing the salience of credit card transactions helps consumer reduce their spending. Computers in Human Behavior 2020;113:106504
    CrossRef
  33. . A Practical Guide for Health Service Providers on the Design, Development, and Deployment of Smartphone Apps for the Delivery of Clinical Services. Journal of Technology in Behavioral Science 2020;5(1):1
    CrossRef
  34. Short CE, Finlay A, Sanders I, Maher C. Development and pilot evaluation of a clinic-based mHealth app referral service to support adult cancer survivors increase their participation in physical activity using publicly available mobile apps. BMC Health Services Research 2018;18(1)
    CrossRef
  35. Hamel LM, Thompson HS, Albrecht TL, Harper FW. Designing and Testing Apps to Support Patients With Cancer: Looking to Behavioral Science to Lead the Way. JMIR Cancer 2019;5(1):e12317
    CrossRef
  36. Templeton JM, Poellabauer C, Schneider S. Enhancement of Neurocognitive Assessments Using Smartphone Capabilities: Systematic Review. JMIR mHealth and uHealth 2020;8(6):e15517
    CrossRef
  37. Lawn S, van Agteren J, Zabeen S, Bertossa S, Barton C, Stewart J. Adapting, Pilot Testing and Evaluating the Kick.it App to Support Smoking Cessation for Smokers with Severe Mental Illness: A Study Protocol. International Journal of Environmental Research and Public Health 2018;15(2):254
    CrossRef
  38. Wu M, Wu SV, Lee M, Peng L, Tsao L, Lee W. Health-promotion interventions enhance and maintain self-efficacy for adults at cardiometabolic risk: A randomized controlled trial. Archives of Gerontology and Geriatrics 2019;82:61
    CrossRef
  39. 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
  40. Szinay D, Jones A, Chadborn T, Brown J, Naughton F. Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review. Journal of Medical Internet Research 2020;22(5):e17572
    CrossRef
  41. Ogrin R, Viswanathan R, Aylen T, Wallace F, Scott J, Kumar D. Co‐design of an evidence‐based health education diabetes foot app to prevent serious foot complications: a feasibility study. Practical Diabetes 2018;35(6):203
    CrossRef
  42. Bol N, Høie NM, Nguyen MH, Smit ES. Customization in mobile health apps: explaining effects on physical activity intentions by the need for autonomy. DIGITAL HEALTH 2019;5:205520761988807
    CrossRef
  43. 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
  44. Myrnerts Höök S, Pejovic NJ, Marrone G, Tylleskär T, Alfvén T. Accurate and fast neonatal heart rate assessment with a smartphone‐based application – a manikin study. Acta Paediatrica 2018;107(9):1548
    CrossRef
  45. 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
  46. Zawati MH, Lang M. Mind the App: Considerations for the Future of Mobile Health in Canada. JMIR mHealth and uHealth 2019;7(11):e15301
    CrossRef
  47. Damschroder LJ, Buis LR, McCant FA, Kim HM, Evans R, Oddone EZ, Bastian LA, Hooks G, Kadri R, White-Clark C, Richardson CR, Gierisch JM. Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(8):e19216
    CrossRef
  48. Griauzde DH, Kullgren JT, Liestenfeltz B, Richardson C, Heisler M. A mobile phone-based program to promote healthy behaviors among adults with prediabetes: study protocol for a pilot randomized controlled trial. Pilot and Feasibility Studies 2018;4(1)
    CrossRef
  49. Bidargaddi N, Pituch T, Maaieh H, Short C, Strecher V. Predicting which type of push notification content motivates users to engage in a self-monitoring app. Preventive Medicine Reports 2018;11:267
    CrossRef
  50. Moran C, Zetler E. A review of smartphone applications for promoting sun protection practices. Journal of the American Academy of Dermatology 2019;81(2):613
    CrossRef
  51. Chapman E, Haby MM, Toma TS, de Bortoli MC, Illanes E, Oliveros MJ, Barreto JOM. Knowledge translation strategies for dissemination with a focus on healthcare recipients: an overview of systematic reviews. Implementation Science 2020;15(1)
    CrossRef
  52. Bishop FM, Rodriquez Orjuela JL. Toward the prevention of alcohol use disorders: Overdrinking (unintentional binge drinking) in a community sample. Health Psychology Open 2018;5(2):205510291879270
    CrossRef
  53. . Assessing quality of glycemic control: Hypo- and hyperglycemia, and glycemic variability using mobile self-monitoring of blood glucose system. Health Informatics Journal 2020;26(1):287
    CrossRef
  54. Glattacker M, Boeker M, Anger R, Reichenbach F, Tassoni A, Bredenkamp R, Giesler JM. Evaluation of a Mobile Phone App for Patients With Pollen-Related Allergic Rhinitis: Prospective Longitudinal Field Study. JMIR mHealth and uHealth 2020;8(4):e15514
    CrossRef
  55. . Does Digital Detox Work? Exploring the Role of Digital Detox Applications for Problematic Smartphone Use and Well-Being of Young Adults Using Multigroup Analysis. Cyberpsychology, Behavior, and Social Networking 2020;23(8):526
    CrossRef
  56. Arevian AC, Bone D, Malandrakis N, Martinez VR, Wells KB, Miklowitz DJ, Narayanan S, Scilingo EP. Clinical state tracking in serious mental illness through computational analysis of speech. PLOS ONE 2020;15(1):e0225695
    CrossRef
  57. Patel D, Sarlati S, Martin-Tuite P, Feler J, Chehab L, Texada M, Marquez R, Orellana FJ, Henderson TL, Nwabuo A, Plevin R, Dicker RA, Juillard C, Sammann A. Designing an Information and Communications Technology Tool With and for Victims of Violence and Their Case Managers in San Francisco: Human-Centered Design Study. JMIR mHealth and uHealth 2020;8(8):e15866
    CrossRef
  58. Eckerstorfer LV, Tanzer NK, Vogrincic-Haselbacher C, Kedia G, Brohmer H, Dinslaken I, Corcoran K. Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression. JMIR mHealth and uHealth 2018;6(11):e10076
    CrossRef
  59. Mork PJ, Bach K. A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project. JMIR Research Protocols 2018;7(7):e167
    CrossRef
  60. Clement I, Lorenz A, Ulm B, Plidschun A, Huber S. Implementing Systematically Collected User Feedback to Increase User Retention in a Mobile App for Self-Management of Low Back Pain: Retrospective Cohort Study. JMIR mHealth and uHealth 2018;6(6):e10422
    CrossRef
  61. Ji X, Hu L, Wang Y, Luo Y, Zhu J, Zhang J, Khan MA, Huang F. “Mobile Health” for the Management of Spondyloarthritis and Its Application in China. Current Rheumatology Reports 2019;21(11)
    CrossRef
  62. 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
  63. 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
  64. 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
  65. Oka R, Nomura A, Yasugi A, Kometani M, Gondoh Y, Yoshimura K, Yoneda T. Study Protocol for the Effects of Artificial Intelligence (AI)-Supported Automated Nutritional Intervention on Glycemic Control in Patients with Type 2 Diabetes Mellitus. Diabetes Therapy 2019;10(3):1151
    CrossRef
  66. Pérez-Jover V, Sala-González M, Guilabert M, Mira JJ. Mobile Apps for Increasing Treatment Adherence: Systematic Review. Journal of Medical Internet Research 2019;21(6):e12505
    CrossRef
  67. Gance-Cleveland B, McDonald CC, Walker RK. Use of theory to guide development and application of sensor technologies in Nursing. Nursing Outlook 2020;68(6):698
    CrossRef
  68. Aoyagi S, Le Y, Shimizu T, Takahashi K. Mobile Application to Provide Traffic Congestion Estimates and Tourism Spots to Promote Additional Stopovers. Future Internet 2020;12(5):83
    CrossRef
  69. Balk-Møller NC, Larsen TM, Holm L. Experiences From a Web- and App-Based Workplace Health Promotion Intervention Among Employees in the Social and Health Care Sector Based on Use-Data and Qualitative Interviews. Journal of Medical Internet Research 2017;19(10):e350
    CrossRef
  70. Ryan B, King R. How ready is ready? Measuring physical preparedness for severe storms. Natural Hazards 2020;104(1):171
    CrossRef
  71. Mueller J, Davies A, Jay C, Harper S, Blackhall F, Summers Y, Harle A, Todd C. Developing and testing a web‐based intervention to encourage early help‐seeking in people with symptoms associated with lung cancer. British Journal of Health Psychology 2019;24(1):31
    CrossRef
  72. Giannoula E, Iakovou I, Katsikavelas I, Antoniou P, Raftopoulos V, Chatzipavlidou V, Papadopoulos N, Bamidis P. A Mobile App for Thyroid Cancer Patients Aiming to Enhance Their Quality of Life: Protocol for a Quasiexperimental Interventional Pilot Study. JMIR Research Protocols 2020;9(3):e13409
    CrossRef
  73. Chen Y, Wu F, Wu Y, Li J, Yue P, Deng Y, Lamb KV, Fong S, Liu Y, Zhang Y. Development of interventions for an intelligent and individualized mobile health care system to promote healthy diet and physical activity: using an intervention mapping framework. BMC Public Health 2019;19(1)
    CrossRef
  74. Rhea CK, Felsberg DT, Maher JP. Toward Evidence-Based Smartphone Apps to Enhance Human Health: Adoption of Behavior Change Techniques. American Journal of Health Education 2018;49(4):210
    CrossRef
  75. Xie Z, Nacioglu A, Or C. Prevalence, Demographic Correlates, and Perceived Impacts of Mobile Health App Use Amongst Chinese Adults: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2018;6(4):e103
    CrossRef
  76. Thies K, Anderson D, Cramer B. Lack of Adoption of a Mobile App to Support Patient Self-Management of Diabetes and Hypertension in a Federally Qualified Health Center: Interview Analysis of Staff and Patients in a Failed Randomized Trial. JMIR Human Factors 2017;4(4):e24
    CrossRef
  77. Poudyal A, van Heerden A, Hagaman A, Maharjan SM, Byanjankar P, Subba P, Kohrt BA. Wearable Digital Sensors to Identify Risks of Postpartum Depression and Personalize Psychological Treatment for Adolescent Mothers: Protocol for a Mixed Methods Exploratory Study in Rural Nepal. JMIR Research Protocols 2019;8(8):e14734
    CrossRef
  78. CHOI JY, CHOI H, SEOMUN G, KIM EJ. Mobile-Application-Based Interventions for Patients With Hypertension and Ischemic Heart Disease: A Systematic Review. Journal of Nursing Research 2020;28(5):e117
    CrossRef
  79. Hooglugt F, Ludden GDS. A Mobile App Adopting an Identity Focus to Promote Physical Activity (MoveDaily): Iterative Design Study. JMIR mHealth and uHealth 2020;8(6):e16720
    CrossRef
  80. Taki S, Lymer S, Russell CG, Campbell K, Laws R, Ong K, Elliott R, Denney-Wilson E. Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index. JMIR mHealth and uHealth 2017;5(6):e89
    CrossRef
  81. Kellett S, Easton KUOSB, Cooper M, Millings A, Simmonds-Buckley M, Parry G. Evaluation of a Mobile App to Enhance Relational Awareness and Change during Cognitive Analytic Therapy (CAT): A Mixed-Methods Case Series (Preprint). JMIR Mental Health 2020;
    CrossRef
  82. Fleming GA, Petrie JR, Bergenstal RM, Holl RW, Peters AL, Heinemann L. Diabetes digital app technology: benefits, challenges, and recommendations. A consensus report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetologia 2020;63(2):229
    CrossRef
  83. Leung L, Chen C. E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities. Telecommunications Policy 2019;43(6):563
    CrossRef
  84. Fadda M, Galimberti E, Fiordelli M, Romanò L, Zanetti A, Schulz PJ. Effectiveness of a smartphone app to increase parents' knowledge and empowerment in the MMR vaccination decision: A randomized controlled trial. Human Vaccines & Immunotherapeutics 2017;13(11):2512
    CrossRef
  85. Mollard E, Michaud K. Mobile Apps for Rheumatoid Arthritis. Rheumatic Disease Clinics of North America 2019;45(2):197
    CrossRef
  86. Sutherland R, Brown A, Nathan N, Janssen L, Reynolds R, Walton A, Hudson N, Chooi A, Yoong S, Wiggers J, Bailey A, Evans N, Gillham K, Oldmeadow C, Searles A, Reeves P, Rissel C, Davies M, Reilly K, Cohen B, McCallum T, Wolfenden L. Protocol for an effectiveness- implementation hybrid trial to assess the effectiveness and cost-effectiveness of an m-health intervention to decrease the consumption of discretionary foods packed in school lunchboxes: the ‘SWAP IT’ trial. BMC Public Health 2019;19(1)
    CrossRef
  87. Shakibnia EB, Timmons SE, Gold MA, Garbers S. “It's Pretty Hard to Tell Your Mom and Dad That You're on a Method”: Exploring How an App Could Promote Adolescents' Communication with Partners and Parent(s) to Increase Self-Efficacy in Long-Acting Reversible Contraception Use. Journal of Pediatric and Adolescent Gynecology 2018;31(2):116
    CrossRef
  88. Huang H, Gartner G, Krisp JM, Raubal M, Van de Weghe N. Location based services: ongoing evolution and research agenda. Journal of Location Based Services 2018;12(2):63
    CrossRef
  89. 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
  90. Petersen F, Brown A, Pather S, Tucker WD. Challenges for the adoption of ICT for diabetes self‐management in South Africa. THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES 2020;86(5)
    CrossRef
  91. De Bruijn G, Dallinga JM, Deutekom M. Predictors of Walking App Users With Comparison of Current Users, Previous Users, and Informed Nonusers in a Sample of Dutch Adults: Questionnaire Study. JMIR mHealth and uHealth 2021;9(5):e13391
    CrossRef
  92. 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
  93. . 3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study. JMIR Serious Games 2018;6(3):e11631
    CrossRef
  94. De Nunzio C, Lombardo R, Tema G, Cancrini F, Russo GI, Chacon R, Garcia-Cruz E, Ribal MJ, Morgia G, Alcaraz A, Tubaro A. Mobile phone apps for the prediction of prostate cancer: External validation of the Coral and Rotterdam apps. European Journal of Surgical Oncology 2019;45(3):471
    CrossRef
  95. Nwolise CH, Carey N, Shawe J. Exploratory study of clinician and patient views regarding the use of a preconception care app for women with diabetes. Health Informatics Journal 2020;26(4):2673
    CrossRef
  96. Griauzde D, Kullgren JT, Liestenfeltz B, Ansari T, Johnson EH, Fedewa A, Saslow LR, Richardson C, Heisler M. A Mobile Phone-Based Program to Promote Healthy Behaviors Among Adults With Prediabetes Who Declined Participation in Free Diabetes Prevention Programs: Mixed-Methods Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(1):e11267
    CrossRef
  97. Albury K, Byron P, Shaw F. Introduction: The Will to App: digitising public health. Media International Australia 2019;171(1):3
    CrossRef
  98. Rohani DA, Faurholt-Jepsen M, Kessing LV, Bardram JE. Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review. JMIR mHealth and uHealth 2018;6(8):e165
    CrossRef
  99. Carrasco-Hernandez L, Jódar-Sánchez F, Núñez-Benjumea F, Moreno Conde J, Mesa González M, Civit-Balcells A, Hors-Fraile S, Parra-Calderón CL, Bamidis PD, Ortega-Ruiz F. A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e17530
    CrossRef
  100. Edwards EA, Caton H, Lumsden J, Rivas C, Steed L, Pirunsarn Y, Jumbe S, Newby C, Shenvi A, Mazumdar S, Smith JQ, Greenhill D, Griffiths CJ, Walton RT. Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game. JMIR Serious Games 2018;6(4):e10252
    CrossRef
  101. Abrahams M, Matusheski NV. Personalised nutrition technologies: a new paradigm for dietetic practice and training in a digital transformation era. Journal of Human Nutrition and Dietetics 2020;33(3):295
    CrossRef
  102. . Behavior Change Techniques in Apps: Moving Beyond Patient Education to Improve Health Outcomes. AACN Advanced Critical Care 2020;31(1):12
    CrossRef
  103. Delmas MA, Kohli A. Can Apps Make Air Pollution Visible? User Engagement with Air Quality Information. SSRN Electronic Journal 2019;
    CrossRef
  104. 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
  105. Ali RA, Alnuaimi KM, Al‐Jarrah IA. Examining the associations between smartphone use and mother–infant bonding and family functioning: A survey design. Nursing & Health Sciences 2020;22(2):235
    CrossRef
  106. Abel Mangueira FF, Smania‐Marques R, Dutra Fernandes I, Alves Albino V, Olinda R, Acácia Santos‐Silva T, Traxler J, Matheson D, Santos S. The prevention of arboviral diseases using mobile devices: a preliminary study of the attitudes and behaviour change produced by educational interventions. Tropical Medicine & International Health 2019;24(12):1411
    CrossRef
  107. Fleming GA, Petrie JR, Bergenstal RM, Holl RW, Peters AL, Heinemann L. Diabetes Digital App Technology: Benefits, Challenges, and Recommendations. A Consensus Report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetes Care 2020;43(1):250
    CrossRef
  108. Mehdi M, Riha C, Neff P, Dode A, Pryss R, Schlee W, Reichert M, Hauck FJ. Smartphone Apps in the Context of Tinnitus: Systematic Review. Sensors 2020;20(6):1725
    CrossRef
  109. Roberts AL, Fisher A, Smith L, Heinrich M, Potts HWW. Digital health behaviour change interventions targeting physical activity and diet in cancer survivors: a systematic review and meta-analysis. Journal of Cancer Survivorship 2017;11(6):704
    CrossRef
  110. Hyatt A, Lipson-Smith R, Morkunas B, Krishnasamy M, Jefford M, Baxter K, Gough K, Murphy D, Drosdowsky A, Phipps-Nelson J, White F, White A, Serong L, McDonald G, Milne D. Testing Consultation Recordings in a Clinical Setting With the SecondEars Smartphone App: Mixed Methods Implementation Study. JMIR mHealth and uHealth 2020;8(1):e15593
    CrossRef
  111. Khamzina M, Parab KV, An R, Bullard T, Grigsby-Toussaint DS. Impact of Pokémon Go on Physical Activity: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2020;58(2):270
    CrossRef
  112. Sandal LF, Stochkendahl MJ, Svendsen MJ, Wood K, Øverås CK, Nordstoga AL, Villumsen M, Rasmussen CDN, Nicholl B, Cooper K, Kjaer P, Mair FS, Sjøgaard G, Nilsen TIL, Hartvigsen J, Bach K, Mork PJ, Søgaard K. An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial. JMIR Research Protocols 2019;8(12):e14720
    CrossRef
  113. 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
  114. Brandt LR, Hidalgo L, Diez-Canseco F, Araya R, Mohr DC, Menezes PR, Miranda JJ. Addressing Depression Comorbid With Diabetes or Hypertension in Resource-Poor Settings: A Qualitative Study About User Perception of a Nurse-Supported Smartphone App in Peru. JMIR Mental Health 2019;6(6):e11701
    CrossRef
  115. Guzman A, Landers SE, Nechitilo M, Garbers S, Catallozzi M, Gold MA, Bell DL, Rosenthal SL. Acceptability of a Phone App-Based Motivational Interviewing Intervention for Young Men’s Health. Journal of Technology in Behavioral Science 2020;5(3):258
    CrossRef
  116. Petersen CL, Weeks WB, Norin O, Weinstein JN. Development and Implementation of a Person-Centered, Technology-Enhanced Care Model For Managing Chronic Conditions: Cohort Study. JMIR mHealth and uHealth 2019;7(3):e11082
    CrossRef
  117. Lipson-Smith R, White F, White A, Serong L, Cooper G, Price-Bell G, Hyatt A. Co-Design of a Consultation Audio-Recording Mobile App for People With Cancer: The SecondEars App. JMIR Formative Research 2019;3(1):e11111
    CrossRef
  118. Smyth A, de Bloom J, Syrek C, Domin M, Janneck M, Reins JA, Lehr D. Efficacy of a smartphone-based intervention — “Holidaily” — promoting recovery behaviour in workers after a vacation: study protocol for a randomised controlled trial. BMC Public Health 2020;20(1)
    CrossRef
  119. Vetter P, Vetter K. Frauengesundheit – was nutzen Apps?. Der Gynäkologe 2018;51(3):253
    CrossRef
  120. Signal NEJ, McLaren R, Rashid U, Vandal A, King M, Almesfer F, Henderson J, Taylor D. Haptic Nudges Increase Affected Upper Limb Movement During Inpatient Stroke Rehabilitation: Multiple-Period Randomized Crossover Study. JMIR mHealth and uHealth 2020;8(7):e17036
    CrossRef
  121. Hendrie GA, James-Martin G, Williams G, Brindal E, Whyte B, Crook A. The Development of VegEze: Smartphone App to Increase Vegetable Consumption in Australian Adults. JMIR Formative Research 2019;3(1):e10731
    CrossRef
  122. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894
    CrossRef
  123. . The relevance of health literacy to mHealth. Information Services & Use 2017;37(2):123
    CrossRef
  124. Mogul DB, Fredericks EM, Brady TM, Miloh T, Riekert K, Williams N, Ford R, Fergusson M, Kosmach-Park B, Hochstein J, Naraparaju G, Henderson ML, Segev DL, Bridges JF. Digital Wings: Innovations in Transplant Readiness for Adolescent and Young Adult Transplant Recipients. Transplantation 2019;103(10):1970
    CrossRef
  125. La Porte LM, Kim JJ, Adams MG, Zagorsky BM, Gibbons R, Silver RK. Feasibility of perinatal mood screening and text messaging on patients’ personal smartphones. Archives of Women's Mental Health 2020;23(2):181
    CrossRef
  126. Nyblade L, Srinivasan K, Mazur A, Raj T, Patil DS, Devadass D, Radhakrishna K, Ekstrand ML. HIV Stigma Reduction for Health Facility Staff: Development of a Blended- Learning Intervention. Frontiers in Public Health 2018;6
    CrossRef
  127. Gabbiadini A, Greitemeyer T. Fitness mobile apps positively affect attitudes, perceived behavioral control and physical activities. The Journal of Sports Medicine and Physical Fitness 2019;59(3)
    CrossRef
  128. Villinger K, Wahl DR, Boeing H, Schupp HT, Renner B. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews 2019;20(10):1465
    CrossRef
  129. 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
  130. Touyz LM, Wakefield CE, Grech AM, Quinn VF, Costa DSJ, Zhang FF, Cohn RJ, Sajeev M, Cohen J. Parent-targeted home-based interventions for increasing fruit and vegetable intake in children: a systematic review and meta-analysis. Nutrition Reviews 2018;76(3):154
    CrossRef
  131. 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
  132. 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
  133. 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
  134. Han M, Lee E. Effectiveness of Mobile Health Application Use to Improve Health Behavior Changes: A Systematic Review of Randomized Controlled Trials. Healthcare Informatics Research 2018;24(3):207
    CrossRef
  135. Ahmad NA, Mat Ludin AF, Shahar S, Mohd Noah SA, Mohd Tohit N. Willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: a scoping review protocol. BMJ Open 2020;10(3):e033870
    CrossRef
  136. 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
  137. 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
  138. Hollier JM, Vaughan AO, Liu Y, van Tilburg MA, Shulman RJ, Thompson DI. Maternal and Child Acceptability of a Proposed Guided Imagery Therapy Mobile App Designed to Treat Functional Abdominal Pain Disorders in Children: Mixed-Methods Predevelopment Formative Research. JMIR Pediatrics and Parenting 2018;1(1):e6
    CrossRef
  139. Agarwal S, Lefevre AE, Labrique AB. A Call to Digital Health Practitioners: New Guidelines Can Help Improve the Quality of Digital Health Evidence. JMIR mHealth and uHealth 2017;5(10):e136
    CrossRef
  140. Appleton KM, Passmore D, Burn I, Pidgeon H, Nation P, Boobyer C, Jiang N. An Interactive Mobile Phone App (SMART 5-A-DAY) for Increasing Knowledge of and Adherence to Fruit and Vegetable Recommendations: Development and Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(11):e14380
    CrossRef
  141. Russell CG, Denney-Wilson E, Laws RA, Abbott G, Zheng M, Lymer SJ, Taki S, Litterbach EV, Ong K, Campbell KJ. Impact of the Growing Healthy mHealth Program on Maternal Feeding Practices, Infant Food Preferences, and Satiety Responsiveness: Quasi-Experimental Study. JMIR mHealth and uHealth 2018;6(4):e77
    CrossRef
  142. Grekin ER, Beatty JR, Ondersma SJ. Mobile Health Interventions: Exploring the Use of Common Relationship Factors. JMIR mHealth and uHealth 2019;7(4):e11245
    CrossRef
  143. Zaslavsky O, Thompson HJ, McCurry SM, Landis CA, Kitsiou S, Ward TM, Heitkemper MM, Demiris G. Use of a Wearable Technology and Motivational Interviews to Improve Sleep in Older Adults With Osteoarthritis and Sleep Disturbance: A Pilot Study. Research in Gerontological Nursing 2019;12(4):167
    CrossRef
  144. 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
  145. 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
  146. Paré G, Leaver C, Bourget C. Diffusion of the Digital Health Self-Tracking Movement in Canada: Results of a National Survey. Journal of Medical Internet Research 2018;20(5):e177
    CrossRef
  147. Lygidakis C, Uwizihiwe JP, Kallestrup P, Bia M, Condo J, Vögele C. Community- and mHealth-based integrated management of diabetes in primary healthcare in Rwanda (D²Rwanda): the protocol of a mixed-methods study including a cluster randomised controlled trial. BMJ Open 2019;9(7):e028427
    CrossRef
  148. Lentferink AJ, Oldenhuis HK, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen JE. Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review. Journal of Medical Internet Research 2017;19(8):e277
    CrossRef
  149. Joergensen KM, Vestergaard C, Joergensen MS, Eiken A, Malmstedt-Miller M, Schultz AN, Deleuran M, Zibert JR. Memory Buttons in Combination with Mobile Application-Induced Objective and Subjective Effects in Patients with Atopic Dermatitis. Dermatology Research and Practice 2020;2020:1
    CrossRef
  150. 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
  151. Scott CK, Dennis ML, Johnson KA, Grella CE. A randomized clinical trial of smartphone self-managed recovery support services. Journal of Substance Abuse Treatment 2020;117:108089
    CrossRef
  152. Huda TM, Alam A, Tahsina T, Hasan MM, Khan J, Rahman MM, Siddique AB, Arifeen SE, Dibley MJ. Mobile-Based Nutrition Counseling and Unconditional Cash Transfers for Improving Maternal and Child Nutrition in Bangladesh: Pilot Study. JMIR mHealth and uHealth 2018;6(7):e156
    CrossRef
  153. 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
  154. Dowd AJ, Warbeck CB, Tang KT, Fung T, Culos-Reed SN. MyHealthyGut: Findings from a pilot randomized controlled trial on adherence to a gluten-free diet and quality of life among adults with celiac disease or gluten intolerance. DIGITAL HEALTH 2020;6:205520762090362
    CrossRef
  155. Navarro-Pérez JJ, Oliver A, Carbonell , Schneider BH. Effectiveness of a Mobile App Intervention to Prevent Dating Violence in Residential Child Care. Psychosocial Intervention 2020;29(2):59
    CrossRef
  156. Mayer DK, Landucci G, Awoyinka L, Atwood AK, Carmack CL, Demark-Wahnefried W, McTavish F, Gustafson DH. SurvivorCHESS to increase physical activity in colon cancer survivors: can we get them moving?. Journal of Cancer Survivorship 2018;12(1):82
    CrossRef
  157. Grande SW, Longacre MR, Palmblad K, Montan MV, Berquist RP, Hager A, Kotzbauer G. Empowering Young People Living With Juvenile Idiopathic Arthritis to Better Communicate With Families and Care Teams: Content Analysis of Semistructured Interviews. JMIR mHealth and uHealth 2019;7(2):e10401
    CrossRef
  158. Litterbach E, Russell CG, Taki S, Denney-Wilson E, Campbell KJ, Laws RA. Factors Influencing Engagement and Behavioral Determinants of Infant Feeding in an mHealth Program: Qualitative Evaluation of the Growing Healthy Program. JMIR mHealth and uHealth 2017;5(12):e196
    CrossRef
  159. 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
  160. Paglialonga A, Lugo A, Santoro E. An overview on the emerging area of identification, characterization, and assessment of health apps. Journal of Biomedical Informatics 2018;83:97
    CrossRef
  161. Bashi N, Fatehi F, Fallah M, Walters D, Karunanithi M. Self-Management Education Through mHealth: Review of Strategies and Structures. JMIR mHealth and uHealth 2018;6(10):e10771
    CrossRef
  162. Müller AM, Maher CA, Vandelanotte C, Hingle M, Middelweerd A, Lopez ML, DeSmet A, Short CE, Nathan N, Hutchesson MJ, Poppe L, Woods CB, Williams SL, Wark PA. Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis. Journal of Medical Internet Research 2018;20(4):e122
    CrossRef
  163. 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
  164. Matthew AG, Yang ZG. Online interventions for sexual health in cancer. Current Opinion in Supportive & Palliative Care 2020;14(1):80
    CrossRef
  165. Ahmed M, Oh A, Vanderlee L, Franco-Arellano B, Schermel A, Lou W, L’Abbé MR. A randomized controlled trial examining consumers’ perceptions and opinions on using different versions of a FoodFlip© smartphone application for delivery of nutrition information. International Journal of Behavioral Nutrition and Physical Activity 2020;17(1)
    CrossRef
  166. Frie K, Hartmann-Boyce J, Jebb S, Albury C, Nourse R, Aveyard P. Insights From Google Play Store User Reviews for the Development of Weight Loss Apps: Mixed-Method Analysis. JMIR mHealth and uHealth 2017;5(12):e203
    CrossRef
  167. Rasmussen CDN, Svendsen MJ, Wood K, Nicholl BI, Mair FS, Sandal LF, Mork PJ, Søgaard K, Bach K, Stochkendahl MJ. App-Delivered Self-Management Intervention Trial selfBACK for People With Low Back Pain: Protocol for Implementation and Process Evaluation. JMIR Research Protocols 2020;9(10):e20308
    CrossRef
  168. Liu Y, Chen C, Lin Y, Chen H, Irianti D, Jen T, Yeh J, Chiu SY. Design and Usability Evaluation of Mobile Voice-Added Food Reporting for Elderly People: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(9):e20317
    CrossRef
  169. Panagiotopoulou E, Peiris C, Hayes D. Behavior change techniques in mobile apps targeting self-harm in young people: a systematic review. Translational Behavioral Medicine 2021;11(3):832
    CrossRef
  170. 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
  171. Compernolle S, Cardon G, van der Ploeg HP, Van Nassau F, De Bourdeaudhuij I, Jelsma JJ, Brondeel R, Van Dyck D. Engagement, Acceptability, Usability, and Preliminary Efficacy of a Self-Monitoring Mobile Health Intervention to Reduce Sedentary Behavior in Belgian Older Adults: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(10):e18653
    CrossRef
  172. Mehdi M, Dode A, Pryss R, Schlee W, Reichert M, Hauck FJ. Contemporary Review of Smartphone Apps for Tinnitus Management and Treatment. Brain Sciences 2020;10(11):867
    CrossRef
  173. . The Promotion and Implementation of Exercise is Medicine® in Kinesiology. Kinesiology Review 2020;9(4):319
    CrossRef
  174. Zhao P, Tang W, Cheng H, Huang S, Zheng H, Yang B, Wang C. Uptake of provider-initiated HIV and syphilis testing among heterosexual STD clinic patients in Guangdong, China: results from a cross-sectional study. BMJ Open 2020;10(12):e041503
    CrossRef
  175. 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
  176. Lewinter KE, Hudson SM, Kysh L, Lara M, Betz CL, Espinoza J. Reconsidering reviews: the role of scoping reviews in digital medicine and pediatrics. npj Digital Medicine 2020;3(1)
    CrossRef
  177. 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
  178. Lawrence K, Rodriguez DV, Feldthouse DM, Shelley D, Yu JL, Belli HM, Gonzalez J, Tasneem S, Fontaine J, Groom LL, Luu S, Wu Y, McTigue KM, Rockette-Wagner B, Mann DM. Effectiveness of an Integrated Engagement Support System to Facilitate Patient Use of Digital Diabetes Prevention Programs: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2021;10(2):e26750
    CrossRef
  179. Nelson KM, Perry NS, Horvath KJ, Smith LR. A systematic review of mHealth interventions for HIV prevention and treatment among gay, bisexual, and other men who have sex with men. Translational Behavioral Medicine 2020;10(5):1211
    CrossRef
  180. Khademian F, Aslani A, Bastani P. The effects of mobile apps on stress, anxiety, and depression: overview of systematic reviews. International Journal of Technology Assessment in Health Care 2021;37(1)
    CrossRef
  181. MacIsaac A, Mushquash AR, Mohammed S, Grassia E, Smith S, Wekerle C. Adverse Childhood Experiences and Building Resilience With the JoyPop App: Evaluation Study. JMIR mHealth and uHealth 2021;9(1):e25087
    CrossRef
  182. Leppla L, Hobelsberger S, Rockstein D, Werlitz V, Pschenitza S, Heidegger P, De Geest S, Valenta S, Teynor A. Implementation Science Meets Software Development to Create eHealth Components for an Integrated Care Model for Allogeneic Stem Cell Transplantation Facilitated by eHealth: The SMILe Study as an Example. Journal of Nursing Scholarship 2021;53(1):35
    CrossRef
  183. Larsen M, Nicholas J, Han J, Lemon C, Okun K, Torok M, Wong D, Wong I, Wong Q, Huckvale K. Here’s something I prepared earlier: a review of the time to publication of cross-sectional reviews of smartphone health apps. BMJ Open 2020;10(12):e039817
    CrossRef
  184. 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
  185. ÖZDEMİR C, ŞENDİR M. MOBİL SAĞLIK UYGULAMALARI VE SAĞLIK DAVRANIŞI DEĞİŞİKLİĞİ. Sağlık Bilimleri Dergisi 2020;29(3):210
    CrossRef
  186. Vieira da Silva ACB, Bueno J. Compass. Information Design Journal 2018;24(3):220
    CrossRef
  187. Minen MT, Friedman BW, Adhikari S, Corner S, Powers SW, Seng EK, Grudzen C, Lipton RB. Introduction of a smartphone based behavioral intervention for migraine in the emergency department. General Hospital Psychiatry 2021;69:12
    CrossRef
  188. Svendsen MJ, Wood KW, Kyle J, Cooper K, Rasmussen CDN, Sandal LF, Stochkendahl MJ, Mair FS, Nicholl BI. Barriers and facilitators to patient uptake and utilisation of digital interventions for the self-management of low back pain: a systematic review of qualitative studies. BMJ Open 2020;10(12):e038800
    CrossRef
  189. Olson KL, Goldstein SP, Lillis J, Panza E. Weight stigma is overlooked in commercial‐grade mobile applications for weight loss and weight‐related behaviors. Obesity Science & Practice 2021;7(2):244
    CrossRef
  190. Morse RM, Myburgh H, Reubi D, Archey AE, Busakwe L, Garcia-Prats AJ, Hesseling AC, Jacobs S, Mbaba S, Meyerson K, Seddon JA, van der Zalm MM, Wademan DT, Hoddinott G. Opportunities for Mobile App–Based Adherence Support for Children With Tuberculosis in South Africa. JMIR mHealth and uHealth 2020;8(11):e19154
    CrossRef
  191. 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
  192. Real FJ, Rosen BL, Bishop JM, McDonald S, DeBlasio D, Kreps GL, Klein M, Kahn JA. Usability Evaluation of the Novel Smartphone Application, HPV Vaccine: Same Way, Same Day, Among Pediatric Residents. Academic Pediatrics 2021;21(4):742
    CrossRef
  193. You (Ryu) KH, Cho J. Investigation of the Influential Factors in Leading People to Seek Mobile Information for the Promotion of Health-Related Behaviors. Sustainability 2020;12(24):10512
    CrossRef
  194. Teckie S, Solomon J, Kadapa K, Sanchez K, Orner D, Kraus D, Kamdar DP, Pereira L, Frank D, Diefenbach M. A Mobile Patient-Facing App for Tracking Patient-Reported Outcomes in Head and Neck Cancer Survivors: Single-Arm Feasibility Study. JMIR Formative Research 2021;5(3):e24667
    CrossRef
  195. 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
  196. Iribarren SJ, Akande TO, Kamp KJ, Barry D, Kader YG, Suelzer E. Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2021;9(1):e21563
    CrossRef
  197. Rakotozafiarison A, Gossec L, Servy H, Rogez E, Davergne T. Numérique et activités physiques en rhumatologie. Revue du Rhumatisme Monographies 2021;88(3):237
    CrossRef
  198. Adams SK, Liguori G, Lofgren IE. Technology as a Tool to Encourage Young Adults to Sleep and Eat Healthy. ACSM'S Health & Fitness Journal 2017;21(4):4
    CrossRef
  199. 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
  200. Szinay D, Perski O, Jones A, Chadborn T, Brown J, Naughton F. Influences on the Uptake of Health and Well-being Apps and Curated App Portals: Think-Aloud and Interview Study. JMIR mHealth and uHealth 2021;9(4):e27173
    CrossRef
  201. Jacobsen LF, Stancu V, Wang QJ, Aschemann-Witzel J, Lähteenmäki L. Connecting food consumers to organisations, peers, and technical devices: The potential of interactive communication technology to support consumers’ value creation. Trends in Food Science & Technology 2021;109:622
    CrossRef
  202. Glazer Baron K, Culnan E, Duffecy J, Berendson M, Cheung Mason I, Lattie E, Manalo N. How are Consumer Sleep Technology Data Being Used to Deliver Behavioral Sleep Medicine Interventions? A Systematic Review. Behavioral Sleep Medicine 2022;20(2):173
    CrossRef
  203. 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
  204. Portenhauser AA, Terhorst Y, Schultchen D, Sander LB, Denkinger MD, Stach M, Waldherr N, Dallmeier D, Baumeister H, Messner E. Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores. JMIR Aging 2021;4(1):e23313
    CrossRef
  205. Park LG, Elnaggar A, Lee SJ, Merek S, Hoffmann TJ, Von Oppenfeld J, Ignacio N, Whooley MA. Mobile Health Intervention Promoting Physical Activity in Adults Post Cardiac Rehabilitation: Pilot Randomized Controlled Trial. JMIR Formative Research 2021;5(4):e20468
    CrossRef
  206. 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
  207. Marchant G, Bonaiuto F, Bonaiuto M, Guillet Descas E. Exercise and Physical Activity eHealth in COVID-19 Pandemic: A Cross-Sectional Study of Effects on Motivations, Behavior Change Mechanisms, and Behavior. Frontiers in Psychology 2021;12
    CrossRef
  208. Kleber G, Alves D, Paiva JD, Diógenes D, Valentim R, Medeiros A. SOS Syphilis: smartphone application for the mapping of syphilis attention networks.. Procedia Computer Science 2021;181:434
    CrossRef
  209. Li J, Ning P, Cheng P, Schwebel DC, Yang Y, Wei X, He J, Wang W, Li R, Hu G. Factors Associated With Dropout of Participants in an App-Based Child Injury Prevention Study: Secondary Data Analysis of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(1):e21636
    CrossRef
  210. Yang JH, Shin G. End-of-Life Care Mobile App for Intensive-Care Unit Nurses: A Quasi-Experimental Study. International Journal of Environmental Research and Public Health 2021;18(3):1253
    CrossRef
  211. 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
  212. Pérez-Troncoso D, Epstein DM, Castañeda-García JA. Consumers' Preferences and Willingness to Pay for Personalised Nutrition. Applied Health Economics and Health Policy 2021;19(5):757
    CrossRef
  213. Song T, Deng N, Cui T, Qian S, Liu F, Guan Y, Yu P. Measuring Success of Patients’ Continuous Use of Mobile Health Services for Self-management of Chronic Conditions: Model Development and Validation. Journal of Medical Internet Research 2021;23(7):e26670
    CrossRef
  214. Materia FT, Smyth JM. Acceptability of Intervention Design Factors in mHealth Intervention Research: Experimental Factorial Study. JMIR mHealth and uHealth 2021;9(7):e23303
    CrossRef
  215. 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
  216. Hung KKC, MacDermot MK, Chan EYY, Liu S, Huang Z, Wong CS, Walline JH, Graham CA. CCOUC Ethnic Minority Health Project: A Case Study for Health EDRM Initiatives to Improve Disaster Preparedness in a Rural Chinese Population. International Journal of Environmental Research and Public Health 2021;18(10):5322
    CrossRef
  217. 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
  218. 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
  219. Goni MD, Naing NN, Hasan H, Wan-Arfah N, Deris ZZ, Arifin WN, Baaba AA, Adam BM, Arshad MR. Effectiveness of a Novel Smartphone Health Education Intervention in Enhancing Knowledge, Attitudes, and Practices for the Prevention of Respiratory Tract Infections Among Private Hajj Pilgrims From Malaysia. Frontiers in Public Health 2021;9
    CrossRef
  220. Leppla L, Schmid A, Valenta S, Mielke J, Beckmann S, Ribaut J, Teynor A, Dobbels F, Duerinckx N, Zeiser R, Engelhardt M, Gerull S, De Geest S, Bolliger D, Chalandon Y, De DGeest S, Degen S, Fürmann M, Grossmann F, Hasemann M, Heidegger P, Hermann A, Hobelsberger S, Husel M, Koehly K, Lemcke M, Leppla L, Maier B, Mamez A, Masouridi S, Nair G, Neupert D, Passweg J, Pschenitza S, Reitwiessner S, Ribaut J, Rockstein D, Schanz U, Schoemans H, Schulz T, Schumacher V, Senft Y, Werlitz V, Witzig-Brändli V. Development of an integrated model of care for allogeneic stem cell transplantation facilitated by eHealth—the SMILe study. Supportive Care in Cancer 2021;29(12):8045
    CrossRef
  221. Saliasi I, Martinon P, Darlington E, Smentek C, Tardivo D, Bourgeois D, Dussart C, Carrouel F, Fraticelli L. Promoting Health via mHealth Applications Using a French Version of the Mobile App Rating Scale: Adaptation and Validation Study. JMIR mHealth and uHealth 2021;9(8):e30480
    CrossRef
  222. Mushquash AR, Pearson ES, Waddington K, MacIsaac A, Mohammed S, Grassia E, Smith S, Wekerle C. User Perspectives on a Resilience-Building App (JoyPop): Qualitative Study. JMIR mHealth and uHealth 2021;9(7):e28677
    CrossRef
  223. König LM, Attig C, Franke T, Renner B. Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework (Preprint). JMIR mHealth and uHealth 2020;
    CrossRef
  224. Smyth JM, Jones DR, Wen CKF, Materia FT, Schneider S, Stone A. Influence of ecological momentary assessment study design features on reported willingness to participate and perceptions of potential research studies: an experimental study. BMJ Open 2021;11(7):e049154
    CrossRef
  225. Spohrer K, Fallon M, Hoehle H, Heinzl A. Designing Effective Mobile Health Apps: Does Combining Behavior Change Techniques Really Create Synergies?. Journal of Management Information Systems 2021;38(2):517
    CrossRef
  226. Daley AJ, Jolly K, Ives N, Jebb SA, Tearne S, Greenfield SM, Yardley L, Little P, Tyldesley-Marshall N, Bensoussane H, Pritchett RV, Frew E, Parretti HM. Practice nurse-supported weight self-management delivered within the national child immunisation programme for postnatal women: a feasibility cluster RCT. Health Technology Assessment 2021;25(49):1
    CrossRef
  227. Ellen JG, Boele FW, Hellman B, Duprey K, Nayak L, Morris J. Pilot study of smartphone-based health outcome tracking (OurBrainBank) for glioblastoma patients. Neuro-Oncology Practice 2021;8(6):684
    CrossRef
  228. Li A, Del Olmo MG, Fong M, Sim K, Lymer SJ, Cunich M, Caterson I. Effect of a smartphone application (Perx) on medication adherence and clinical outcomes: a 12-month randomised controlled trial. BMJ Open 2021;11(8):e047041
    CrossRef
  229. Lee C, Hsiung Y, Chi L, Huang J, Chen H. “Help me fight my constant battle”: A focus group study of overweight and obese women's mHealth app experiences to manage gestational weight gain. Midwifery 2023;116:103552
    CrossRef
  230. Strong DM, Tulu B, Agu E, Pedersen PC. Search and Evaluation of Coevolving Problem and Solution Spaces in a Complex Healthcare Design Science Research Project. IEEE Transactions on Engineering Management 2023;70(3):912
    CrossRef
  231. Agachi E, Bijmolt THA, van Ittersum K, Mierau JO. The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study. JMIR mHealth and uHealth 2023;11:e43033
    CrossRef
  232. Martinez-Fierro ML, Ayala-Haro AE, Pinedo-Hurtado ME, Solis-Galvan JA, Garza-Veloz I, Velazquez-Lopez ZY, Camacho-Martinez AG, Avila-Carrasco L, Vazquez-Reyes S, Velasco-Elizondo P, Mauricio-Gonzalez A, Ortiz-Castro Y. Usefulness of a Mobile Application (Mentali) for Anxiety and Depression Screening in Medical Students and Description of the Associated Triggering Factors. Brain Sciences 2022;12(9):1223
    CrossRef
  233. Rivers JT, Smith C, Smith I, Cameron J. The Impact of a Mobile App on Participation in Cardiac Rehabilitation and Understanding Barriers to Success: Comparative Cohort Study. JMIR Cardio 2022;6(1):e24174
    CrossRef
  234. . Benefits and risks of apps for patients. Current Opinion in Endocrinology, Diabetes & Obesity 2022;29(1):17
    CrossRef
  235. Reinhardt G, Timpel P, Schwarz PEH, Harst L. Long-Term Effects of a Video-Based Smartphone App (“VIDEA Bewegt”) to Increase the Physical Activity of German Adults: A Single-Armed Observational Follow-Up Study. Nutrients 2021;13(12):4215
    CrossRef
  236. Ko S, Lee J, An D, Woo H. Menstrual Tracking Mobile App Review by Consumers and Health Care Providers: Quality Evaluations Study. JMIR mHealth and uHealth 2023;11:e40921
    CrossRef
  237. 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
  238. Montague J, Haith‐Cooper M. A study to assess the feasibility of using a novel digital animation to increase physical activity levels in asylum seeking communities. Health & Social Care in the Community 2022;30(5):1960
    CrossRef
  239. Skvortsova A, Cohen Rodrigues T, de Buisonjé D, Kowatsch T, Santhanam P, Veldhuijzen DS, van Middendorp H, Evers A. Increasing the Effectiveness of a Physical Activity Smartphone Intervention With Positive Suggestions: Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(3):e32130
    CrossRef
  240. Wal A, Khandai M, Vig H, Srivastava P, Agarwal A, Wadhwani S, Wal P. Evidence-Based Treatment, assisted by Mobile Technology to Deliver, and Evidence-Based Drugs in South Asian Countries. Archives of Pharmacy Practice 2022;13(4):63
    CrossRef
  241. Sengupta A, Dutta K, Beckie T, Chellappan S. Designing a Health Coach-Augmented mHealth System for the Secondary Prevention of Coronary Heart Disease Among Women. IEEE Transactions on Engineering Management 2022;69(6):3085
    CrossRef
  242. 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
  243. 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
  244. Sun Y, Zhou J, Ji M, Pei L, Wang Z. Development and Evaluation of Health Recommender Systems: Systematic Scoping Review and Evidence Mapping. Journal of Medical Internet Research 2023;25:e38184
    CrossRef
  245. Kracht CL, Hutchesson M, Ahmed M, Müller AM, Ashton LM, Brown HM, DeSmet A, Maher CA, Mauch CE, Vandelanotte C, Yin Z, Whatnall M, Short CE, Staiano AE. E‐&mHealth interventions targeting nutrition, physical activity, sedentary behavior, and/or obesity among children: A scoping review of systematic reviews and meta‐analyses. Obesity Reviews 2021;22(12)
    CrossRef
  246. Kazemi S, Zarei F, Heidarnia A, Alhani F. Improve the cervical cancer prevention behaviors through mobile-based educational intervention based on I-CHANGE model: study protocol for a randomized controlled trial. Trials 2022;23(1)
    CrossRef
  247. Bellesi G, Morris RG. Using smartphone apps for neuropsychological rehabilitationand the creation of an ‘apps’ hub. The Neuropsychologist 2018;1(6):31
    CrossRef
  248. 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
  249. Gil-Espinosa FJ, Nielsen-Rodríguez A, Romance R, Burgueño R. Smartphone applications for physical activity promotion from physical education. Education and Information Technologies 2022;27(8):11759
    CrossRef
  250. Øverås CK, Nilsen TIL, Nicholl BI, Rughani G, Wood K, Søgaard K, Mair FS, Hartvigsen J. Multimorbidity and co-occurring musculoskeletal pain do not modify the effect of the selfBACK app on low back pain-related disability. BMC Medicine 2022;20(1)
    CrossRef
  251. 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
  252. 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
  253. Hughes D, Boothroyd P. Making change stick: Facilitating habit change using a smartphone app. Assessment and Development Matters 2020;12(3):8
    CrossRef
  254. Biswas M, Tania MH, Kaiser MS, Kabir R, Mahmud M, Kemal AA, Rashid J. ACCU3RATE: A mobile health application rating scale based on user reviews. PLOS ONE 2021;16(12):e0258050
    CrossRef
  255. Arroyo AC, Zawadzki MJ. The Implementation of Behavior Change Techniques in mHealth Apps for Sleep: Systematic Review. JMIR mHealth and uHealth 2022;10(4):e33527
    CrossRef
  256. 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
  257. Kim SK, Lee M, Jeong H, Jang YM. Effectiveness of mobile applications for patients with severe mental illness: A meta‐analysis of randomized controlled trials. Japan Journal of Nursing Science 2022;19(3)
    CrossRef
  258. Kasetsuwan N, Suwan-Apichon O, Lekhanont K, Chuckpaiwong V, Reinprayoon U, Chantra S, Puangsricharern V, Pariyakanok L, Prabhasawat P, Tesavibul N, Chaidaroon W, Tananuvat N, Hirunpat C, Prakairungthong N, Sansanayudh W, Chirapapaisan C, Phrueksaudomchai P. Assessing the Risk Factors For Diagnosed Symptomatic Dry Eye Using a Smartphone App: Cross-sectional Study. JMIR mHealth and uHealth 2022;10(6):e31011
    CrossRef
  259. McKenzie LB, Roberts KJ, McAdams RJ, Abdel-Rasoul M, Kristel O, Szymanski A, Keim SA, Shields WC. Efficacy of a mobile technology-based intervention for increasing parents’ safety knowledge and actions: a randomized controlled trial. Injury Epidemiology 2021;8(1)
    CrossRef
  260. Yang A, Singh N, Varshney U. Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework. Journal of Medical Systems 2022;46(10)
    CrossRef
  261. Hollier JM, Strickland TA, Fordis CM, van Tilburg MA, Shulman RJ, Thompson D. Children’s and Caregivers’ Review of a Guided Imagery Therapy Mobile App Designed to Treat Children With Functional Abdominal Pain Disorders: Leveraging a Mixed Methods Approach With User-Centered Design. JMIR Formative Research 2023;7:e41321
    CrossRef
  262. Gertz M, Schütz-Bosbach S, Diefenbach S. Smartphone and the Self: Experimental Investigation of Self-Incorporation of and Attachment to Smartphones. Multimodal Technologies and Interaction 2021;5(11):67
    CrossRef
  263. Wang H, Yang Y, You Q, Wang Y, Wang R. Impacts of Physical Exercise and Media Use on the Physical and Mental Health of People with Obesity: Based on the CGSS 2017 Survey. Healthcare 2022;10(9):1740
    CrossRef
  264. . Smartphone application use in commercial wild capture fisheries. Reviews in Fish Biology and Fisheries 2022;32(4):1063
    CrossRef
  265. Napolitano L, Fusco GM, Cirillo L, Abate M, Mirone C, Barone B, Celentano G, La Rocca R, Mirone V, Creta M, Capece M. Erectile dysfunction and mobile phone applications: Quality, content and adherence to European Association guidelines on male sexual dysfunction. Archivio Italiano di Urologia e Andrologia 2022;94(2):211
    CrossRef
  266. Hogan TP, Etingen B, Lipschitz JM, Shimada SL, McMahon N, Bolivar D, Bixler FR, Irvin D, Wacks R, Cutrona S, Frisbee KL, Smith BM. Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey. JMIR mHealth and uHealth 2022;10(12):e41767
    CrossRef
  267. Szinay D, Forbes CC, Busse H, DeSmet A, Smit ES, König LM. Is the uptake, engagement, and effectiveness of exclusively mobile interventions for the promotion of weight‐related behaviors equal for all? A systematic review. Obesity Reviews 2023;24(3)
    CrossRef
  268. Ahmad NA, Mat Ludin AF, Shahar S, Mohd Noah SA, Mohd Tohit N. Willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: a scoping review. BMJ Open 2022;12(3):e054561
    CrossRef
  269. Fedkov D, Berghofen A, Weiss C, Peine C, Lang F, Knitza J, Kuhn S, Krämer BK, Leipe J. Efficacy and safety of a mobile app intervention in patients with inflammatory arthritis: a prospective pilot study. Rheumatology International 2022;42(12):2177
    CrossRef
  270. Tandon P, Purdy G, Ismond KP, Cruz C, Etruw E, Suderman K, Hyde A, Stickland M, Spence JC, Lien DC, Bhanji R, Prado CM, Cruz AM, Joy AA, Yaskina M, Round J, Harback K, Padwal R, McNeely ML. Heal-me PiONEer (personalized online nutrition and exercise): An RCT assessing 2 levels of app-based programming in individuals with chronic disease. Contemporary Clinical Trials 2022;118:106791
    CrossRef
  271. Nwolise CH, Carey N, Shawe J. Preconception and Diabetes Information (PADI) App for Women with Pregestational Diabetes: a Feasibility and Acceptability Study. Journal of Healthcare Informatics Research 2021;5(4):446
    CrossRef
  272. Stancu V, Frank D, Lähteenmäki L, Grunert KG. Motivating consumers for health and fitness: The role of app features. Journal of Consumer Behaviour 2022;21(6):1506
    CrossRef
  273. Smyth B, Lawlor A, Berndsen J, Feely C. Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners. User Modeling and User-Adapted Interaction 2022;32(5):787
    CrossRef
  274. Haricharan HJ, Hacking D, Lau YK, Heap M. Improving Knowledge About Pregnancy for Deaf South African Women of Reproductive Age Through a Text Messaging–Based Information Campaign: Mixed Methods Study. JMIR Pediatrics and Parenting 2023;6:e40561
    CrossRef
  275. Becerro de Bengoa Vallejo R, Losa Iglesias ME, Robles Sanchez OD. Repeatability, Reproducibility, and Concurrent Validity of a Stethoscope and Health App System for the Quantification of Breath Rate in Healthy Adults: Repeatability and Validity Study. Journal of Medical Internet Research 2023;25:e41845
    CrossRef
  276. Gornyi B, Bunova A, Kulikova M, Kushunina D, Kalinina A, Drapkina O. Mobile applications in the control and correction of excess body weight (expert assessment results). Profilakticheskaya meditsina 2021;24(8):66
    CrossRef
  277. Seo S, Cho S, Yoon W, Lee CM. Classification of Smoking Cessation Apps: Quality Review and Content Analysis. JMIR mHealth and uHealth 2022;10(2):e17268
    CrossRef
  278. Kim B, Lee E. What Factors Affect a User’s Intention to Use Fitness Applications? The Moderating Effect of Health Status: A Cross-Sectional Study. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2022;59:004695802210958
    CrossRef
  279. Baer N, Vietzke J, Schenk L, Jutai J. Middle-aged and older adults’ acceptance of mobile nutrition and fitness apps: A systematic mixed studies review. PLOS ONE 2022;17(12):e0278879
    CrossRef
  280. Jacobs-Basadien M, Pather S, Petersen F. The role of culture in the adoption of mobile applications for the self-management of diabetes in low resourced urban communities. Universal Access in the Information Society 2022;
    CrossRef
  281. Gornyi B, Bunova A, Kushunina D, Kulikova M, Kalinina A, Drapkina O. Evaluation of Russian-language mobile applications designed to support smoking cessation. Profilakticheskaya meditsina 2022;25(7):66
    CrossRef
  282. Arensman R, Kloek C, Pisters M, Koppenaal T, Ostelo R, Veenhof C. Patient Perspectives on Using a Smartphone App to Support Home-Based Exercise During Physical Therapy Treatment: Qualitative Study. JMIR Human Factors 2022;9(3):e35316
    CrossRef
  283. 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
  284. Dalayya S, Elsaid STFA, Ng KH, Song TL, Lim JBY, Yan Z. Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients. Human Behavior and Emerging Technologies 2023;2023:1
    CrossRef
  285. Ansah EK, Moucheraud C, Arogundade L, Rangel GW, Fatokun O. Rethinking integrated service delivery for malaria. PLOS Global Public Health 2022;2(6):e0000462
    CrossRef
  286. 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
  287. Kwasnicka D, Keller J, Perski O, Potthoff S, ten Hoor GA, Ainsworth B, Crutzen R, Dohle S, van Dongen A, Heino M, Henrich JF, Knox L, König LM, Maltinsky W, McCallum C, Nalukwago J, Neter E, Nurmi J, Spitschan M, Van Beurden SB, Van der Laan LN, Wunsch K, Levink JJJ, Sanderman R. White Paper: Open Digital Health – accelerating transparent and scalable health promotion and treatment. Health Psychology Review 2022;16(4):475
    CrossRef
  288. Hamel LM, Dougherty DW, Kim S, Heath EI, Mabunda L, Tadesse E, Hill R, Eggly S. DISCO App: study protocol for a randomized controlled trial to test the effectiveness of a patient intervention to reduce the financial burden of cancer in a diverse patient population. Trials 2021;22(1)
    CrossRef
  289. Cai H, Chen H, Gao Y, Huang Q, Lv C, Cang X, Qi J, Luo K, Jin S. A preliminary study of further attempt at the development, testing and application of an independent primary screening stool card. Scientific Reports 2022;12(1)
    CrossRef
  290. Vázquez-Paz AM, Michel-Nava RM, Delgado-Pérez EE, Lares-Michel M, Espinosa-Curiel IE. Parents’ mHealth App for Promoting Healthy Eating Behaviors in Children: Feasibility, Acceptability, and Pilot Study. Journal of Medical Systems 2022;46(11)
    CrossRef
  291. Kiani N, Pirzadeh A. Mobile-application intervention on physical activity of pregnant women in Iran during the COVID-19 epidemic in 2020. Journal of Education and Health Promotion 2021;10(1):328
    CrossRef
  292. Bocking H, Russell-Bennett R, Letheren K. I'm no expert, but … ? Consumer use of supportive digital tools in health services. Journal of Service Theory and Practice 2022;32(2):105
    CrossRef
  293. Rogez E, Rogez M, Legrand P, Davergne T. Applications smartphone pour promouvoir l’activité physique chez les patients atteints de polyarthrite rhumatoïde : une recherche des différentes applications. Kinésithérapie, la Revue 2021;21(240):11
    CrossRef
  294. Kaseva K, Tervaniemi M, Heikura E, Kostilainen K, Pöyhönen-Alho M, Shoemaker JK, Petrella RJ, Peltonen JE. Identifying Personality Characteristics and Indicators of Psychological Well-Being Associated With Attrition in the Motivation Makes the Move! Physical Activity Intervention: Randomized Technology-Supported Trial. JMIR Formative Research 2022;6(11):e30285
    CrossRef
  295. Han M, Rhee SY. Effectiveness of Mobile Health Applications for 5% Body Weight Reduction in Obese and Overweight Adults. Journal of Obesity & Metabolic Syndrome 2021;30(4):354
    CrossRef
  296. 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
  297. Mbada CE, Isatayo TS, Omole JO, Odole AC, Ayanniyi O, Dada OO, Gambo IP, Fatoye CT, Ademoyegun A, Sonuga OA, Fatoye F. Development and Feasibility Testing of an Animated Cartoon-Based Self-Care Application for Low-Back Pain – a Pilot Study. Rehabilitacja Medyczna 2021;25(1)
    CrossRef
  298. Deslippe AL, Soanes A, Bouchaud CC, Beckenstein H, Slim M, Plourde H, Cohen TR. Barriers and facilitators to diet, physical activity and lifestyle behavior intervention adherence: a qualitative systematic review of the literature. International Journal of Behavioral Nutrition and Physical Activity 2023;20(1)
    CrossRef
  299. Qin Y, Wang X, Namkoong K. A meta-analysis of the overall effect of mHealth physical activity interventions for weight loss and the moderating effect of behavioral change theories, techniques, and mobile technologies. Mobile Media & Communication 2022;10(2):337
    CrossRef
  300. Carvalho C, Prando BC, Dantas LO, Serrão PRMDS. Mobile health technologies for the management of spine disorders: A systematic review of mHealth applications in Brazil. Musculoskeletal Science and Practice 2022;60:102562
    CrossRef
  301. Wang T, Stanforth PR, Fleming RYD, Wolf Jr JS, Stanforth D, Tanaka H. A Mobile App With Multimodality Prehabilitation Programs for Patients Awaiting Elective Surgery: Development and Usability Study. JMIR Perioperative Medicine 2021;4(2):e32575
    CrossRef
  302. Willms A, Rhodes RE, Liu S. Effects of Mobile-Based Financial Incentive Interventions for Adults at Risk of Developing Hypertension: Feasibility Randomized Controlled Trial. JMIR Formative Research 2023;7:e36562
    CrossRef
  303. Fang P, Shi S, Menhas R, Laar RA, Saeed MM. Demographic Characteristics and Digital Platforms for Physical Activity Among the Chinese Residents During the COVID-19 Pandemic: A Mediating Analysis. Journal of Multidisciplinary Healthcare 2022;Volume 15:515
    CrossRef
  304. He M, Blye C, Halpenny E. Impacts of environmental communication on pro-environmental intentions and behaviours: a systematic review on nature-based tourism context. Journal of Sustainable Tourism 2023;31(8):1921
    CrossRef
  305. Coughlin JW, Martin LM, Zhao D, Goheer A, Woolf TB, Holzhauer K, Lehmann HP, Lent MR, McTigue KM, Clark JM, Bennett WL. Electronic Health Record–Based Recruitment and Retention and Mobile Health App Usage: Multisite Cohort Study. Journal of Medical Internet Research 2022;24(6):e34191
    CrossRef
  306. Butler , Derraik J, Taylor R, Cutfield W. Prediction Models for Early Childhood Obesity: Applicability and Existing Issues. Hormone Research in Paediatrics 2018;90(6):358
    CrossRef
  307. Elnaggar A, von Oppenfeld J, Whooley MA, Merek S, Park LG. Applying Mobile Technology to Sustain Physical Activity After Completion of Cardiac Rehabilitation: Acceptability Study. JMIR Human Factors 2021;8(3):e25356
    CrossRef
  308. Wienert J, Jahnel T, Maaß L. What are Digital Public Health Interventions? First Steps Toward a Definition and an Intervention Classification Framework. Journal of Medical Internet Research 2022;24(6):e31921
    CrossRef
  309. Lee Y, Huang L, Chen S, Shao J, Lai C, Yang N. Effects of Mobile Application Program (App)-Assisted Health Education on Preventive Behaviors and Cancer Literacy among Women with Cervical Intraepithelial Neoplasia. International Journal of Environmental Research and Public Health 2021;18(21):11603
    CrossRef
  310. Kawichai S, Songtaweesin WN, Wongharn P, Phanuphak N, Cressey TR, Moonwong J, Vasinonta A, Saisaengjan C, Chinbunchorn T, Puthanakit T. A Mobile Phone App to Support Adherence to Daily HIV Pre-exposure Prophylaxis Engagement Among Young Men Who Have Sex With Men and Transgender Women Aged 15 to 19 Years in Thailand: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2022;10(4):e25561
    CrossRef
  311. Rughani G, Nilsen TIL, Wood K, Mair FS, Hartvigsen J, Mork PJ, Nicholl BI. The selfBACK artificial intelligence‐based smartphone app can improve low back pain outcome even in patients with high levels of depression or stress. European Journal of Pain 2023;27(5):568
    CrossRef
  312. Drapkina OM, Karamnova NS, Kontsevaya AV, Gorny BE, Dadaeva VA, Drozdova LY, Yeganyan RA, Eliashevich SO, Izmailova OV, Lavrenova EA, Lischenko OV, Skripnikova IA, Shvabskaya OB, Shishkova VN. Russian Society for the Prevention of Noncommunicable Diseases (ROPNIZ). Alimentary-dependent risk factors for chronic non-communicable diseases and eating habits: dietary correction within the framework of preventive counseling. Methodological Guidelines. Cardiovascular Therapy and Prevention 2021;20(5):2952
    CrossRef
  313. Meankaew P, Lawpoolsri S, Piyaphanee W, Wansatid P, Chaovalit P, Lawawirojwong S, Kaewkungwal J. Cross-platform mobile app development for disseminating public health information to travelers in Thailand: development and usability. Tropical Diseases, Travel Medicine and Vaccines 2022;8(1)
    CrossRef
  314. Sysko R, Michaelides A, Costello K, Herron DM, Hildebrandt T. An Initial Test of the Efficacy of a Digital Health Intervention for Bariatric Surgery Candidates. Obesity Surgery 2022;32(11):3641
    CrossRef
  315. Vilasi A, Panuccio VA, Morante S, Villa A, Versace MC, Mezzatesta S, Mercuri S, Inguanta R, Aiello G, Cutrupi D, Puglisi R, Capria S, Li Vigni M, Tripepi G, Torino C. Monitoring Risk Factors and Improving Adherence to Therapy in Patients With Chronic Kidney Disease (Smit-CKD Project): Pilot Observational Study. JMIR Bioinformatics and Biotechnology 2022;3(1):e36766
    CrossRef
  316. Kay MC, Miller HN, Askew S, Spaulding EM, Chisholm M, Christy J, Yang Q, Steinberg DM. Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial. AJPM Focus 2022;1(2):100037
    CrossRef
  317. Yu J, Wu J, Huang O, Chen X, Shen K. A Smartphone-Based App to Improve Adjuvant Treatment Adherence to Multidisciplinary Decisions in Patients With Early-Stage Breast Cancer: Observational Study. Journal of Medical Internet Research 2021;23(9):e27576
    CrossRef
  318. 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
  319. Svendsen MJ, Nicholl BI, Mair FS, Wood K, Rasmussen CDN, Stochkendahl MJ. One size does not fit all: Participants’ experiences of the selfBACK app to support self-management of low back pain—a qualitative interview study. Chiropractic & Manual Therapies 2022;30(1)
    CrossRef
  320. Stocks J, Choi Y, Ibrahim S, Huchko M. Iterative Development of a Mobile Phone App to Support Community Health Volunteers During Cervical Cancer Screening in Western Kenya: Qualitative Study. JMIR Formative Research 2022;6(2):e27501
    CrossRef
  321. Muñoz Gallego A, De Sousa Lacerda J, Costa Araujo AC. DIVULGACIÓN CIENTÍFICA EN INSTAGRAM:. Revista de Comunicación de la SEECI 2023;56:148
    CrossRef
  322. Attie E, Meyer-Waarden L. How Do You Sleep? The Impact of Sleep Apps on Generation Z's Well-Being. Journal of Interactive Marketing 2023;58(2-3):222
    CrossRef
  323. Stecher C, Pfisterer B, Harden SM, Epstein D, Hirschmann JM, Wunsch K, Buman MP. Assessing the Pragmatic Nature of Mobile Health Interventions Promoting Physical Activity: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2023;11:e43162
    CrossRef
  324. Matsuhisa T, Fujie R, Masukawa R, Nakamura N, Mori N, Ito K, Yoshikawa Y, Okazaki K, Sato J. Impact of a Mindfulness Mobile Application on Weight Loss and Eating Behavior in People with Metabolic Syndrome: a Pilot Randomized Controlled Trial. International Journal of Behavioral Medicine 2024;31(2):202
    CrossRef
  325. van der Haar S, Raaijmakers I, Verain MC, Meijboom S. Consumers’ needs in nutrition apps to start and maintain usage: a mixed methods study (Preprint). JMIR mHealth and uHealth 2022;
    CrossRef
  326. Bastoni S, van Gemert-Pijnen L, Sanderman R, van Dongen A. Implementation of eMental health technologies for informal caregivers: A multiple case study. Frontiers in Digital Health 2023;5
    CrossRef
  327. 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
  328. Inagaki S, Kato K, Abe K, Takahashi H, Matsuda T. Relationship between Diabetes Self-Management and the Use of Health Care Apps: A Cross-Sectional Study. ACI Open 2023;07(01):e23
    CrossRef
  329. Hussin R, Aziz AFA, Ali MF, Monoto EMM, Arvinder-Singh H, Alabed AAA, Zaidi WAW, Ibrahim NM. Stroke Riskometer Application (SRA™) influence on lifestyle changes of home bound familial Malaysian stroke caregivers: a randomised controlled trial in a primary care based longer term stroke care facility. BMC Primary Care 2023;24(1)
    CrossRef
  330. López-Fernández I, Gil-Espinosa FJ, Burgueño R, Calderón A. Physical education teachers’ reality and experience from teaching during a pandemic. Sport, Education and Society 2023;:1
    CrossRef
  331. Schulze A, Lindemann A, Brand F, Geppert J, Menning A, Stehr P, Reifegerste D, Rossmann C. Mobile Apps Aimed at Preventing and Handling Unintentional Injuries in Children Aged <7 Years: Systematic Review. Interactive Journal of Medical Research 2023;12:e45258
    CrossRef
  332. 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
  333. Ikwunne T, Hederman L, Wall PJ. DECENT: A sociotechnical approach for developing mobile health apps in underserved settings. DIGITAL HEALTH 2023;9
    CrossRef
  334. Sviatenko T, Gogunska I, Semigina T, Kasianenko L, Salei O, Prokopenko M. The Role of Mobile Applications in the Doctor’s Working Time Management System. International Journal of Statistics in Medical Research 2022;11:66
    CrossRef
  335. Thorup CB, Bundgaard K, Pedersen PU. Transformation of health professional/patient caring relationships through information and communication technologies used in telemedicine: a scoping review protocol. JBI Database of Systematic Reviews and Implementation Reports 2019;17(4):470
    CrossRef
  336. Werbrouck A, Schmidt M, Putman K, Simoens S, Verhaeghe N, Annemans L. Cost-Utility of an Exercise Referral Scheme Versus Doing Nothing in Flemish Adults: Exploring the Impact of Key Assumptions. Journal of Physical Activity and Health 2023;:1
    CrossRef
  337. Pedersen K, Schlichter BR. Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review. Interactive Journal of Medical Research 2023;12:e40205
    CrossRef
  338. Rahmillah FI, Tariq A, King M, Oviedo-Trespalacios O. Evaluating the Effectiveness of Apps Designed to Reduce Mobile Phone Use and Prevent Maladaptive Mobile Phone Use: Multimethod Study. Journal of Medical Internet Research 2023;25:e42541
    CrossRef
  339. Hussian A, Mateen A, Amin F, Abid MA, Ullah S. Health Monitoring Apps: An Evaluation of the Persuasive System Design Model for Human Wellbeing. Information 2023;14(7):412
    CrossRef
  340. Binkowska AA, Obarska K, Marcowski P, Szymczak K, Lewczuk K, Sollich K, Banaszak M, Woronowicz B, Nowicka M, Skorko M, Gola M. Evaluating the effectiveness of mobile app-based self-guided psychological intervention to reduce craving and lapse risk in problematic substance use and behaviors: Protocol for a randomized control trial in the general population. Contemporary Clinical Trials Communications 2023;36:101180
    CrossRef
  341. Jovanova M, Cosme D, Doré B, Kang Y, Stanoi O, Cooper N, Helion C, Lomax S, McGowan AL, Boyd ZM, Bassett DS, Mucha PJ, Ochsner KN, Lydon-Staley DM, Falk EB. Psychological distance intervention reminders reduce alcohol consumption frequency in daily life. Scientific Reports 2023;13(1)
    CrossRef
  342. Borst F, Reuss-Borst M, Boschmann J, Schwarz P, König LM. Can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–A pilot-study. PLOS Digital Health 2023;2(10):e0000359
    CrossRef
  343. Nordstoga AL, Aasdahl L, Sandal LF, Dalager T, Kongsvold A, Mork PJ, Nilsen TIL. The Role of Pain Duration and Pain Intensity on the Effectiveness of App-Delivered Self-Management for Low Back Pain (selfBACK): Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e40422
    CrossRef
  344. Abdul Khalil NM, Mohd Mydin FH, Moy FM, Diviani N. Healthy adults’ views and experiences on behavior change strategies in mobile applications for diet monitoring: A single centre qualitative study. PLOS ONE 2023;18(11):e0292390
    CrossRef
  345. Williams JR, Sindermann C, Yang H, Montag C, Elhai JD. Latent profiles of problematic smartphone use severity are associated with social and generalized anxiety, and fear of missing out, among Chinese high school students. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2023;17(5)
    CrossRef
  346. . Identifying Behavior Change Techniques in an Artificial Intelligence-Based Fitness App: A Content Analysis. Health Education & Behavior 2023;
    CrossRef
  347. Obracht-Prondzyńska H, Radziszewski K, Anacka H, Duda E, Walnik M, Wereszko K, Geirbo HC. Codesigned Digital Tools for Social Engagement in Climate Change Mitigation. Sustainability 2023;15(24):16760
    CrossRef
  348. Chen L, Huang H, Jiang S, Yao H, Xu L, Huang Q, Xiao M, Zhao Q. Facilitators and barriers to the implementation of dietary nutrition interventions for community-dwelling older adults with physical frailty and sarcopenia: A qualitative meta-synthesis. International Journal of Nursing Sciences 2024;11(1):18
    CrossRef
  349. Makowski S, Bätz A, Prasse P, Jäger LA, Scheffer T. Detection of Alcohol Inebriation from Eye Movements. Procedia Computer Science 2023;225:2086
    CrossRef
  350. Masmoudi A, Zouari A, Bouzid A, Fourati K, Baklouti S, Ben Amar M, Boujelben S. Predicting Waist Circumference From a Single Computed Tomography Image Using a Mobile App (Measure It): Development and Evaluation Study. JMIRx Med 2023;4:e38852
    CrossRef
  351. Shanmugavel A, Shakya PR, Shrestha A, Nepal J, Shrestha A, Daneault J, Rawal S. Designing and Developing a Mobile App for Management and Treatment of Gestational Diabetes in Nepal: User-Centered Design Study. JMIR Formative Research 2024;8:e50823
    CrossRef
  352. Ximenes MAM, Fernandes CDS, Macêdo TS, Brandão MGSA, Galindo Neto NM, Caetano J, Barros LM. APLICATIVOS DE CELULAR PARA EDUCAÇÃO SOBRE SEGURANÇA DO PACIENTE: REVISÃO INTEGRATIVA. Revista de Enfermagem UFPE on line 2023;17(1):14
    CrossRef
  353. Faria BSFD, Carvalho C, Triches MI, Vieira LMSMDA, Sato TDO. Mobile health technologies for workers’ health and wellbeing: A systematic search of mHealth applications in Brazil. Journal of Bodywork and Movement Therapies 2024;38:54
    CrossRef
  354. Verain MC, Raaijmakers I, Meijboom S, van der Haar S. Differences in drivers of healthy eating and nutrition app preferences across motivation-based consumer groups. Food Quality and Preference 2024;116:105145
    CrossRef
  355. Althubyani A, Tang C, Thomas J, Gupta S. Evaluating the Use of Web-Based Technologies for Self-Management among Arabic-Speaking Immigrants Living with Type 2 Diabetes Mellitus: A Cross-Sectional Study in Saudi Arabia. Diabetology 2024;5(1):85
    CrossRef
  356. Grahlher K, Morgenstern M, Pietsch B, Gomes de Matos E, Rossa M, Lochbühler K, Daubmann A, Thomasius R, Arnaud N. Mobile App Intervention to reduce Substance Use, Gambling and Digital Media Use in Vocational School Students: Exploratory Analysis of the Intervention Arm of a Randomized Controlled Trial (Preprint). JMIR mHealth and uHealth 2023;
    CrossRef
  357. Dege T, Glatzel B, Borst V, Grän F, Goller S, Glatzel C, Goebeler M, Schmieder A. Patient-Centered Chronic Wound Care Mobile Apps: Systematic Identification, Analysis, and Assessment. JMIR mHealth and uHealth 2024;12:e51592
    CrossRef
  358. Nguyen A, Yu F, Park LG, Fukuoka Y, Wong C, Gildengorin G, Nguyen TT, Tsoh JY, Jih J. An App-Based Physical Activity Intervention Study in Community-Dwelling Chinese-, Tagalog-, and Vietnamese-Speaking Americans: A Pilot Study (Preprint). JMIR Formative Research 2024;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5692):

  1. Prashad R, Chen M. Optimizing Health Literacy for Improved Clinical Practices. 2018. chapter 4:73
    CrossRef
  2. Ferguson SG, Jahnel T, Elliston K, Shiffman S. The Cambridge Handbook of Research Methods in Clinical Psychology. 2020. 23:301
    CrossRef
  3. Petersen F, Jacobs M, Pather S. Responsible Design, Implementation and Use of Information and Communication Technology. 2020. Chapter 6:61
    CrossRef
  4. de Moraes Lopes MHB, Ferreira DD, Ferreira ACBH, da Silva GR, Caetano AS, Braz VN. Artificial Intelligence in Precision Health. 2020. :465
    CrossRef
  5. Snippe L, Boffo M, Stewart SH, Dom G, Wiers RW. Gambling Disorder. 2019. Chapter 10:195
    CrossRef
  6. Baulch E, Watkins J, Tariq A. mHealth Innovation in Asia. 2018. Chapter 1:1
    CrossRef
  7. . The Cambridge Handbook of Research Methods in Clinical Psychology. 2020. Part VI:299
    CrossRef
  8. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. 2019. chapter 7:161
    CrossRef
  9. Paglialonga A, Mastropietro A, Scalco E, Rizzo G. m_Health Current and Future Applications. 2019. Chapter 2:5
    CrossRef
  10. . Gezondheidsbevordering en zelfmanagement door verpleegkundigen en verpleegkundig specialisten. 2018. Chapter 6:205
    CrossRef
  11. Sari H, Othman M, Al-Ghaili AM. Recent Trends in Data Science and Soft Computing. 2019. Chapter 68:736
    CrossRef
  12. Kharbouch M, Idri A, Redman L, Alami H, Fernández-Alemán JL, Toval A. Computational Science and Its Applications – ICCSA 2020. 2020. Chapter 63:894
    CrossRef
  13. Ofori MQ, El-Gayar OF. Optimizing Health Monitoring Systems With Wireless Technology. 2020. chapter 11:130
    CrossRef
  14. . Preventie door paramedici. 2019. Chapter 4:147
    CrossRef
  15. . Preventie door paramedici. 2019. Chapter 3:67
    CrossRef
  16. Prashad R, Chen M. Research Anthology on Improving Health Literacy Through Patient Communication and Mass Media. 2022. chapter 1:1
    CrossRef
  17. Antolín-Prieto R, Ruiz-Lacaci N, Reyes-Menendez A. Management and Marketing for Improved Competitiveness and Performance in the Healthcare Sector. 2021. chapter 11:238
    CrossRef
  18. Dugdale SL, Semper HM. Digital Innovations for Mental Health Support. 2022. chapter 4:56
    CrossRef
  19. Matlebjane DA, Ndayizigamiye P, Kante M. Innovation Practices for Digital Transformation in the Global South. 2022. Chapter 6:97
    CrossRef
  20. . Nursing: Health Education and Improving Patient Self-Management. 2023. Chapter 14:207
    CrossRef
  21. Neves AL, Lygidakis C, Hoedebecke K, de Pinho-Costa L, Pilotto A. The Role of Family Physicians in Older People Care. 2022. Chapter 8:107
    CrossRef
  22. Mars M, Scott RE. Integrity of Scientific Research. 2022. Chapter 28:281
    CrossRef
  23. Carlier S, Braun M, De Paepe A, Crombez G, De Backere F, De Turck F. Pervasive Computing Technologies for Healthcare. 2022. Chapter 28:452
    CrossRef
  24. . Nursing: Health Education and Improving Patient Self-Management. 2023. Chapter 16:275
    CrossRef
  25. . Nursing: Health Education and Improving Patient Self-Management. 2023. Chapter 7:101
    CrossRef
  26. Kante M, Ndayizigamiye P. Innovation Practices for Digital Transformation in the Global South. 2022. Chapter 5:79
    CrossRef
  27. Vinogradov M, Chang M, Lin F, Yan Y. ICT for Health, Accessibility and Wellbeing. 2023. Chapter 8:110
    CrossRef
  28. Jacobs-Basadien M, Pather S. Information and Communication Technologies for Ageing Well and e-Health. 2023. Chapter 18:338
    CrossRef
  29. Bosschaerts K, Stragier J, Steenwinckel B, De Marez L, Van Hoecke S, Ongenae F. Pervasive Computing Technologies for Healthcare. 2023. Chapter 42:636
    CrossRef