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

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

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

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

Journals

  1. Volkova E, Michie J, Corrigan C, Sundborn G, Eyles H, Jiang Y, Mhurchu C. Effectiveness of recruitment to a smartphone-delivered nutrition intervention in New Zealand: analysis of a randomised controlled trial. BMJ Open 2017;7(6):e016198 View
  2. Srikesavan C, Bryer C, Ali U, Williamson E. Web-based rehabilitation interventions for people with rheumatoid arthritis: A systematic review. Journal of Telemedicine and Telecare 2019;25(5):263 View
  3. Badawy S, Cronin R, Hankins J, Crosby L, DeBaun M, Thompson A, Shah N. Patient-Centered eHealth Interventions for Children, Adolescents, and Adults With Sickle Cell Disease: Systematic Review. Journal of Medical Internet Research 2018;20(7):e10940 View
  4. Schoeppe S, Alley S, Rebar A, Hayman M, Bray N, Van Lippevelde W, Gnam J, Bachert P, Direito A, Vandelanotte C. Apps to improve diet, physical activity and sedentary behaviour in children and adolescents: a review of quality, features and behaviour change techniques. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1) View
  5. Kannan V, Basit M, Bajaj P, Carrington A, Donahue I, Flahaven E, Medford R, Melaku T, Moran B, Saldana L, Willett D, Youngblood J, Toomay S. User stories as lightweight requirements for agile clinical decision support development. Journal of the American Medical Informatics Association 2019;26(11):1344 View
  6. Gonzalez-Sanchez J, Recio-Rodriguez J, Fernandez-delRio A, Sanchez-Perez A, Magdalena-Belio J, Gomez-Marcos M, Garcia-Ortiz L. Using a smartphone app in changing cardiovascular risk factors: A randomized controlled trial (EVIDENT II study). International Journal of Medical Informatics 2019;125:13 View
  7. Balán I, Lopez-Rios J, Nayak S, Lentz C, Arumugam S, Kutner B, Dolezal C, Macar O, Pabari T, Wang Ying A, Okrah M, Sia S. SMARTtest: A Smartphone App to Facilitate HIV and Syphilis Self- and Partner-Testing, Interpretation of Results, and Linkage to Care. AIDS and Behavior 2020;24(5):1560 View
  8. Kalke K, Ginossar T, Bentley J, Carver H, Shah S, Kinney A. Use of Evidence-Based Best Practices and Behavior Change Techniques in Breast Cancer Apps: Systematic Analysis. JMIR mHealth and uHealth 2020;8(1):e14082 View
  9. Brown H, Bucher T, Collins C, Rollo M. A review of pregnancy iPhone apps assessing their quality, inclusion of behaviour change techniques, and nutrition information. Maternal & Child Nutrition 2019;15(3) View
  10. Goodday S, Atkinson L, Goodwin G, Saunders K, South M, Mackay C, Denis M, Hinds C, Attenburrow M, Davies J, Welch J, Stevens W, Mansfield K, Suvilehto J, Geddes J. The True Colours Remote Symptom Monitoring System: A Decade of Evolution. Journal of Medical Internet Research 2020;22(1):e15188 View
  11. Kim J, Wineinger N, Steinhubl S. The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e116 View
  12. Escoffery C, McGee R, Bidwell J, Sims C, Thropp E, Frazier C, Mynatt E. A review of mobile apps for epilepsy self-management. Epilepsy & Behavior 2018;81:62 View
  13. Padilla V, Rustad J, Harvey P, Wasserman B, Ziemer D, Musselman D. Neurocognitive impairment in patients with comorbid diabetes mellitus and depression. Personalized Medicine in Psychiatry 2017;1-2:2 View
  14. Reynolds R, Sutherland R, Nathan N, Janssen L, Lecathelinais C, Reilly K, Walton A, Wolfenden L. Feasibility and principal acceptability of school‐based mobile communication applications to disseminate healthy lunchbox messages to parents. Health Promotion Journal of Australia 2019;30(1):108 View
  15. Lazzara E, Baker A, Abts N, Nathan-Roberts D, Ranton J, Fouquet S, Chaparro B. Going Mobile: Guiding the Development of Safer and More Effective Mobile Access in Healthcare. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2017;61(1):578 View
  16. Hekler E, Rivera D, Martin C, Phatak S, Freigoun M, Korinek E, Klasnja P, Adams M, Buman M. Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions. Journal of Medical Internet Research 2018;20(6):e214 View
  17. Clarke J, Draper S. Intermittent mindfulness practice can be beneficial, and daily practice can be harmful. An in depth, mixed methods study of the “Calm” app's (mostly positive) effects. Internet Interventions 2020;19:100293 View
  18. Smith R, Menon J, Rajeev J, Feinberg L, Kumar R, Banerjee A. Potential for the use of mHealth in the management of cardiovascular disease in Kerala: a qualitative study. BMJ Open 2015;5(11):e009367 View
  19. Wang Q, Egelandsdal B, Amdam G, Almli V, Oostindjer M. Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR mHealth and uHealth 2016;4(2):e33 View
  20. Mummah S, Robinson T, King A, Gardner C, Sutton S. IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior. Journal of Medical Internet Research 2016;18(12):e317 View
  21. Zamberg I, Windisch O, Agoritsas T, Nendaz M, Savoldelli G, Schiffer E. A Mobile Medical Knowledge Dissemination Platform (HeadToToe): Mixed Methods Study. JMIR Medical Education 2020;6(1):e17729 View
  22. Aguirre P, Lotto M, Strieder A, Cruvinel A, Cruvinel T. The Effectiveness of Educational Mobile Messages for Assisting in the Prevention of Early Childhood Caries: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(9):e13656 View
  23. Lobelo F, Kelli H, Tejedor S, Pratt M, McConnell M, Martin S, Welk G. The Wild Wild West: A Framework to Integrate mHealth Software Applications and Wearables to Support Physical Activity Assessment, Counseling and Interventions for Cardiovascular Disease Risk Reduction. Progress in Cardiovascular Diseases 2016;58(6):584 View
  24. Singh K, Drouin K, Newmark L, Filkins M, Silvers E, Bain P, Zulman D, Lee J, Rozenblum R, Pabo E, Landman A, Klinger E, Bates D. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 2016;4(4):e136 View
  25. Baglione A, Gong J, Boukhechba M, Wells K, Barnes L. Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence. IEEE Pervasive Computing 2020;19(3):24 View
  26. Schoeppe S, Alley S, Van Lippevelde W, Bray N, Williams S, Duncan M, 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) View
  27. Castellano-Tejedor C, Moreno J, Knittle K, Nurmi J, Ginchev T, Parramón G, Ciudin A, Ramos-Quiroga J, Lusilla-Palacios P. Assessing the user experience and usability of the PRECIOUS system: a randomized controlled trial in obese patients. Informatics for Health and Social Care 2020;45(4):410 View
  28. Ju A, Scholes-Robertson N, Johnson D, Cho Y, van Zwieten A, Manera K, Howell M, Viecelli A, Jesudason S, Evangelidis N, Polkinghorne K, Gutman T, Wyburn K, Craig J, Tong A, Charalambous A, Beach B, Larkin B, Beach C, Clive C, Dingle D, Thomas D, Blake D, Baker D, Underwood D, McLaren D, Demagante F, Jennings G, Jeff H, Mewburn I, Wooldridge J, Ellis J, Widders K, Young K, McLaren K, Yew K, Ellis M, Blake M, Scholes-Robertson N, Scholes-Robertson N, Grant P, Kennedy P, Walter P, Yew P, Jeff R, Wooldridge W. Patient-led identification and prioritization of exercise interventions for fatigue on dialysis: a workshop report. Clinical Kidney Journal 2021;14(3):831 View
  29. Lowres N, Duckworth A, Redfern J, Thiagalingam A, Chow C. Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study. JMIR mHealth and uHealth 2020;8(6):e19200 View
  30. Dedov V, Dedova I. Automated Management of Exercise Intervention at the Point of Care: Application of a Web-Based Leg Training System. JMIR Rehabilitation and Assistive Technologies 2015;2(2):e11 View
  31. Gilljam B, Nygren J, 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 View
  32. McKay F, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):22 View
  33. Stragier J, Vandewiele G, Coppens P, Ongenae F, Van den Broeck W, De Turck F, De Marez L. Data Mining in the Development of Mobile Health Apps: Assessing In-App Navigation Through Markov Chain Analysis. Journal of Medical Internet Research 2019;21(6):e11934 View
  34. Schumer H, Amadi C, Joshi A. Evaluating the Dietary and Nutritional Apps in the Google Play Store. Healthcare Informatics Research 2018;24(1):38 View
  35. Simmons R, Shattuck D, Jennings V. Assessing the Efficacy of an App-Based Method of Family Planning: The Dot Study Protocol. JMIR Research Protocols 2017;6(1):e5 View
  36. Rincon E, Monteiro-Guerra F, Rivera-Romero O, Dorronzoro-Zubiete E, Sanchez-Bocanegra C, Gabarron E. Mobile Phone Apps for Quality of Life and Well-Being Assessment in Breast and Prostate Cancer Patients: Systematic Review. JMIR mHealth and uHealth 2017;5(12):e187 View
  37. Bernard S, Boucher S, McLean L, Moffet H. Mobile technologies for the conservative self-management of urinary incontinence: a systematic scoping review. International Urogynecology Journal 2020;31(6):1163 View
  38. Guo Y, Bian J, Leavitt T, Vincent H, Vander Zalm L, Teurlings T, Smith M, Modave F. Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument. Journal of Medical Internet Research 2017;19(3):e67 View
  39. Choi W, Wang S, Lee Y, Oh H, Zheng Z. A systematic review of mobile health technologies to support self-management of concurrent diabetes and hypertension. Journal of the American Medical Informatics Association 2020;27(6):939 View
  40. Arheiam A, Albadri S, Brown S, Burnside G, Higham S, Harris R. Are diet diaries of value in recording dietary intake of sugars? A retrospective analysis of completion rates and information quality. British Dental Journal 2016;221(9):571 View
  41. Stiles-Shields C, Montague E, Lattie E, Kwasny M, Mohr D. What might get in the way: Barriers to the use of apps for depression. DIGITAL HEALTH 2017;3:205520761771382 View
  42. Wills A, Garry J, Hubbard J, Mezoian T, Breen C, Ortiz-Miller C, Nalipinski P, Sullivan S, Berry J, Cudkowicz M, Paganoni S, Chan J, Macklin E. Nutritional counseling with or without mobile health technology: a randomized open-label standard-of-care-controlled trial in ALS. BMC Neurology 2019;19(1) View
  43. Weber S, Lorenz C, Hemmings N. Improving Stress and Positive Mental Health at Work via an App-Based Intervention: A Large-Scale Multi-Center Randomized Control Trial. Frontiers in Psychology 2019;10 View
  44. Thornton L, Kay-Lambkin F, Tebbutt B, Hanstock T, Baker A. A Mobile Phone–Based Healthy Lifestyle Monitoring Tool for People With Mental Health Problems (MyHealthPA): Development and Pilot Testing. JMIR Cardio 2018;2(2):e10228 View
  45. Ahmadiankalati M, Steins-Loeber S, Paslakis G. Review of Randomized Controlled Trials Using e-Health Interventions for Patients With Eating Disorders. Frontiers in Psychiatry 2020;11 View
  46. Patrick K, Hekler E, Estrin D, Mohr D, Riper H, Crane D, Godino J, Riley W. The Pace of Technologic Change. American Journal of Preventive Medicine 2016;51(5):816 View
  47. Lee R, Jung M. Evaluation of an mHealth App (DeStressify) on University Students’ Mental Health: Pilot Trial. JMIR Mental Health 2018;5(1):e2 View
  48. Rutsch M, Jochems N, Schrader A, Brandes I, Weier L, Deck R. ReNaApp: increasing the long-term effects of oncological rehabilitation through an application after medical rehabilitation (ReNaApp): a quasi-randomized longitudinal study of prospective design. BMC Health Services Research 2020;20(1) View
  49. Haddad H, de Nazelle A. The role of personal air pollution sensors and smartphone technology in changing travel behaviour. Journal of Transport & Health 2018;11:230 View
  50. Covolo L, Ceretti E, Moneda M, Castaldi S, Gelatti U. Does evidence support the use of mobile phone apps as a driver for promoting healthy lifestyles from a public health perspective? A systematic review of Randomized Control Trials. Patient Education and Counseling 2017;100(12):2231 View
  51. Setoguchi M, Motruk S, Frank V, Kessler D. A review of mobile applications to enhance coaching in occupational therapy. British Journal of Occupational Therapy 2020;83(9):549 View
  52. Dutheil F, Duclos M, Naughton G, Dewavrin S, Cornet T, Huguet P, Chatard J, Pereira B. WittyFit—Live Your Work Differently: Study Protocol for a Workplace-Delivered Health Promotion. JMIR Research Protocols 2017;6(4):e58 View
  53. Lee S, Nurmatov U, Nwaru B, Mukherjee M, Grant L, Pagliari C. Effectiveness of mHealth interventions for maternal, newborn and child health in low– and middle–income countries: Systematic review and meta–analysis. Journal of Global Health 2016;6(1) View
  54. Ferranti D, Lorenzo D, Munoz-Rojas D, Gonzalez-Guarda R. Health education needs of intimate partner violence survivors: Perspectives from female survivors and social service providers. Public Health Nursing 2018;35(2):118 View
  55. Danielsson A, Lundin A, Andréasson S. Using mobile phone technology to treat alcohol use disorder: study protocol for a randomized controlled trial. Trials 2018;19(1) View
  56. Willcox J, Dobson R, Whittaker R. Old-Fashioned Technology in the Era of “Bling”: Is There a Future for Text Messaging in Health Care?. Journal of Medical Internet Research 2019;21(12):e16630 View
  57. Rieger A, Gaines A, Barnett I, Baldassano C, Connolly Gibbons M, Crits-Christoph P. Psychiatry Outpatients’ Willingness to Share Social Media Posts and Smartphone Data for Research and Clinical Purposes: Survey Study. JMIR Formative Research 2019;3(3):e14329 View
  58. Burnett-Zeigler I, Waldron E, Hong S, Yang A, Wisner K, Ciolino J. Accessibility and feasibility of using technology to support mindfulness practice, reduce stress and promote long term mental health. Complementary Therapies in Clinical Practice 2018;33:93 View
  59. Jallo N, Thacker L, Menzies V, Stojanovic P, Svikis D. A Stress Coping App for Hospitalized Pregnant Women at Risk for Preterm Birth. MCN: The American Journal of Maternal/Child Nursing 2017;42(5):257 View
  60. Knight E, Stuckey M, Prapavessis H, Petrella R. Public Health Guidelines for Physical Activity: Is There an App for That? A Review of Android and Apple App Stores. JMIR mHealth and uHealth 2015;3(2):e43 View
  61. Capobianco E. On Digital Therapeutics. Frontiers in Digital Humanities 2015;2 View
  62. Lang M, Mayr M, Ringbauer S, Cepek L. PatientConcept App: Key Characteristics, Implementation, and its Potential Benefit. Neurology and Therapy 2019;8(1):147 View
  63. Harrison J, Baker M. Attitudes of dual diagnosis service users to mobile apps that aid treatment adherence. Mental Health Practice 2018;21(10):29 View
  64. Miralles I, Granell C, Díaz-Sanahuja L, Van Woensel W, Bretón-López J, Mira A, Castilla D, Casteleyn S. Smartphone Apps for the Treatment of Mental Disorders: Systematic Review. JMIR mHealth and uHealth 2020;8(4):e14897 View
  65. Huberty J, Green J, Glissmann C, Larkey L, Puzia M, Lee C. Efficacy of the Mindfulness Meditation Mobile App “Calm” to Reduce Stress Among College Students: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(6):e14273 View
  66. Petrenko C, Parr J, Kautz C, Tapparello C, Olson H. A Mobile Health Intervention for Fetal Alcohol Spectrum Disorders (Families Moving Forward Connect): Development and Qualitative Evaluation of Design and Functionalities. JMIR mHealth and uHealth 2020;8(4):e14721 View
  67. Tzilos Wernette G, Countryman K, Khatibi K, Riley E, Stephenson R. Love My Body: Pilot Study to Understand Reproductive Health Vulnerabilities in Adolescent Girls. Journal of Medical Internet Research 2020;22(3):e16336 View
  68. Koch M, Lermann J, van de Roemer N, Renner S, Burghaus S, Hackl J, Dittrich R, Kehl S, Oppelt P, Hildebrandt T, Hack C, Pöhls U, Renner S, Thiel F. RETRACTED ARTICLE: Improving usability and pregnancy rates of a fertility monitor by an additional mobile application: results of a retrospective efficacy study of Daysy and DaysyView app. Reproductive Health 2018;15(1) View
  69. Samoggia A, Riedel B. Assessment of nutrition-focused mobile apps' influence on consumers' healthy food behaviour and nutrition knowledge. Food Research International 2020;128:108766 View
  70. Wilson L, Tyler N, Jacobs P, Gabo V, Senf B, Reddy R, Castle J. Patient Input for Design of a Decision Support Smartphone Application for Type 1 Diabetes. Journal of Diabetes Science and Technology 2020;14(6):1081 View
  71. Russell E, Lloyd-Houldey A, Memon A, Yarker J. Factors Influencing Uptake and Use of a New Health Information App for Young People. Journal of Technology in Human Services 2018;36(4):222 View
  72. Arigo D, Jake-Schoffman D, Wolin K, Beckjord E, Hekler E, Pagoto S. The history and future of digital health in the field of behavioral medicine. Journal of Behavioral Medicine 2019;42(1):67 View
  73. Zaslavsky O, Roopsawang I, Chen A. Promoting Behavioral Change in Mobile Health Interventions for Older Adults: A Scoping Review. Research in Gerontological Nursing 2020;13(2):102 View
  74. Máca V, Ščasný M, Zvěřinová I, Jakob M, Hrnčíř J. Incentivizing Commuter Cycling by Financial and Non-Financial Rewards. International Journal of Environmental Research and Public Health 2020;17(17):6033 View
  75. Mahmood A, Kedia S, Wyant D, Ahn S, Bhuyan S. Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions. DIGITAL HEALTH 2019;5:205520761988218 View
  76. Theodoulou I, Reddy A, Wong J. Is innovative workforce planning software the solution to NHS staffing and cost crisis? An exploration of the locum industry. BMC Health Services Research 2018;18(1) View
  77. Domnich A, Arata L, Amicizia D, Signori A, Patrick B, Stoyanov S, Hides L, Gasparini R, Panatto D. Development and validation of the Italian version of the Mobile Application Rating Scale and its generalisability to apps targeting primary prevention. BMC Medical Informatics and Decision Making 2016;16(1) View
  78. Alberts N, Badawy S, Hodges J, Estepp J, Nwosu C, Khan H, Smeltzer M, Homayouni R, Norell S, Klesges L, Porter J, Hankins J. Development of the InCharge Health Mobile App to Improve Adherence to Hydroxyurea in Patients With Sickle Cell Disease: User-Centered Design Approach. JMIR mHealth and uHealth 2020;8(5):e14884 View
  79. Seiler A, Klaas V, Tröster G, Fagundes C. eHealth and mHealth interventions in the treatment of fatigued cancer survivors: A systematic review and meta-analysis. Psycho-Oncology 2017;26(9):1239 View
  80. Kim T, Lee Y, Yu E, Kim M, Yang S, Hur Y, Kang J. Effects of a mobile healthcare service provided by public health centers on practicing of health behaviors and health risk factors. Nutrition Research and Practice 2019;13(6):509 View
  81. Khan K, Hall C, Davies E, Hollis C, Glazebrook C. The Effectiveness of Web-Based Interventions Delivered to Children and Young People With Neurodevelopmental Disorders: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2019;21(11):e13478 View
  82. Biviji R, Vest J, Dixon B, Cullen T, Harle C. Content analysis of behavior change techniques in maternal and infant health apps. Translational Behavioral Medicine 2021;11(2):504 View
  83. Dalton J, Rodger D, Wilmore M, Humphreys S, Skuse A, Roberts C, Clifton V, Beiki O. The Health-e Babies App for antenatal education: Feasibility for socially disadvantaged women. PLOS ONE 2018;13(5):e0194337 View
  84. Huang G, Zhou E. Time to Work Out! Examining the Behavior Change Techniques and Relevant Theoretical Mechanisms that Predict the Popularity of Fitness Mobile Apps with Chinese-Language User Interfaces. Health Communication 2019;34(12):1502 View
  85. Payne H, Moxley V, MacDonald E. Health Behavior Theory in Physical Activity Game Apps: A Content Analysis. JMIR Serious Games 2015;3(2):e4 View
  86. Modave F, Bian J, Leavitt T, Bromwell J, Harris III C, Vincent H. Low Quality of Free Coaching Apps With Respect to the American College of Sports Medicine Guidelines: A Review of Current Mobile Apps. JMIR mHealth and uHealth 2015;3(3):e77 View
  87. Alcaraz K, Vereen R, Burnham D. Use of Telephone and Digital Channels to Engage Socioeconomically Disadvantaged Adults in Health Disparities Research Within a Social Service Setting: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(4):e16680 View
  88. Berman A, Molander O, Tahir M, Törnblom P, Gajecki M, Sinadinovic K, Andersson C. Reducing Risky Alcohol Use via Smartphone App Skills Training Among Adult Internet Help-Seekers: A Randomized Pilot Trial. Frontiers in Psychiatry 2020;11 View
  89. Lawitschka A, Buehrer S, Bauer D, Peters K, Silbernagl M, Zubarovskaya N, Brunmair B, Kayali F, Hlavacs H, Mateus-Berr R, Riedl D, Rumpold G, Peters C. A Web-Based Mobile App (INTERACCT App) for Adolescents Undergoing Cancer and Hematopoietic Stem Cell Transplantation Aftercare to Improve the Quality of Medical Information for Clinicians: Observational Study. JMIR mHealth and uHealth 2020;8(6):e18781 View
  90. Brower J, LaBarge M, White L, Mitchell M. Examining Responsiveness to an Incentive-Based Mobile Health App: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(8):e16797 View
  91. Badawy S, Thompson A, Kuhns L. Medication Adherence and Technology-Based Interventions for Adolescents With Chronic Health Conditions: A Few Key Considerations. JMIR mHealth and uHealth 2017;5(12):e202 View
  92. Hussain T, Smith P, Yee L. Mobile Phone–Based Behavioral Interventions in Pregnancy to Promote Maternal and Fetal Health in High-Income Countries: Systematic Review. JMIR mHealth and uHealth 2020;8(5):e15111 View
  93. Robbins R, Krebs P, Rapoport D, Jean-Louis G, Duncan D. Examining Use of Mobile Phones for Sleep Tracking Among a National Sample in the USA. Health Communication 2019;34(5):545 View
  94. West P, Van Kleek M, Giordano R, Weal M, Shadbolt N. Information Quality Challenges of Patient-Generated Data in Clinical Practice. Frontiers in Public Health 2017;5 View
  95. Lee M, Lee H, Kim Y, Kim J, Cho M, Jang J, Jang H. Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature. International Journal of Environmental Research and Public Health 2018;15(12):2838 View
  96. Sutherland R, Nathan N, Brown A, Yoong S, Finch M, Lecathelinais C, Reynolds R, Walton A, Janssen L, Desmet C, Gillham K, Herrmann V, Hall A, Wiggers J, Wolfenden L. A randomized controlled trial to assess the potential efficacy, feasibility and acceptability of an m-health intervention targeting parents of school aged children to improve the nutritional quality of foods packed in the lunchbox ‘SWAP IT’. International Journal of Behavioral Nutrition and Physical Activity 2019;16(1) View
  97. Mummah S, Mathur M, King A, Gardner C, Sutton S. Mobile Technology for Vegetable Consumption: A Randomized Controlled Pilot Study in Overweight Adults. JMIR mHealth and uHealth 2016;4(2):e51 View
  98. Tu R, Hsieh P, Feng W. Walking for fun or for “likes”? The impacts of different gamification orientations of fitness apps on consumers’ physical activities. Sport Management Review 2019;22(5):682 View
  99. Kim J, Kang J, Kim H, Ko J, Kim H, Kim Y, Ko K, Lee M. Development of tailored contents of a mobile health application to prevent the metabolic syndrome. Korean Journal of Health Education and Promotion 2018;35(3):25 View
  100. Chen J, Smolenski D, Dobscha S, Bush N, Denneson L. Correlates of Mental Health Smartphone Application Use among Patients with Suicidal Ideation. Journal of Technology in Human Services 2018;36(4):191 View
  101. Milne-Ives M, Lam C, De Cock C, Van Velthoven M, 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 View
  102. Mendiola M, Kalnicki M, Lindenauer S. Valuable Features in Mobile Health Apps for Patients and Consumers: Content Analysis of Apps and User Ratings. JMIR mHealth and uHealth 2015;3(2):e40 View
  103. Soela Kim , Jeong Yeob Han . Co-presence in Gamified Geosocial Mobile Fitness Applications: Its Determinants and Effects on Perceived Support, Exercise Self-Efficacy, and Exercise Adherence. Health Communication Research 2018;17(2):33 View
  104. Henshall C, Davey Z, Jacelon C, Martin C. A usability study to test the effectiveness, efficiency and simplicity of a newly developed Internet-based Exercise-focused Health App for Lung cancer survivors (iEXHALE): Protocol paper. Health Informatics Journal 2020;26(2):1431 View
  105. Kay E, Shou L. A randomised controlled trial of a smartphone application for improving oral hygiene. British Dental Journal 2019;226(7):508 View
  106. de Cock C, van Velthoven M, Milne-Ives M, Mooney M, Meinert E. Use of Apps to Promote Childhood Vaccination: Systematic Review. JMIR mHealth and uHealth 2020;8(5):e17371 View
  107. Choo C, Burton A. Mobile Phone Apps for Behavioral Interventions for At-Risk Drinkers in Australia: Literature Review. JMIR mHealth and uHealth 2018;6(2):e18 View
  108. Ashford R, Giorgi S, Mann B, Pesce C, Sherritt L, Ungar L, Curtis B. Digital recovery networks: Characterizing user participation, engagement, and outcomes of a novel recovery social network smartphone application. Journal of Substance Abuse Treatment 2020;109:50 View
  109. Brown H, Collins C, Bucher T, Rollo M. Evaluation of the effectiveness and usability of an educational portion size tool, Serv AR preg, for pregnant women. Journal of Human Nutrition and Dietetics 2019;32(6):719 View
  110. Cho H, Flynn G, Saylor M, Gradilla M, Schnall R. Use of the FITT framework to understand patients’ experiences using a real-time medication monitoring pill bottle linked to a mobile-based HIV self-management app: A qualitative study. International Journal of Medical Informatics 2019;131:103949 View
  111. Delmas M, 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 View
  112. Milne-Ives M, Lam C, Van Velthoven M, Meinert E. Mobile Apps for Health Behavior Change: Protocol for a Systematic Review. JMIR Research Protocols 2020;9(1):e16931 View
  113. Badawy S, Kuhns L. Economic Evaluation of Text-Messaging and Smartphone-Based Interventions to Improve Medication Adherence in Adolescents with Chronic Health Conditions: A Systematic Review. JMIR mHealth and uHealth 2016;4(4):e121 View
  114. Bender M, Cooper B, Park L, 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 View
  115. Minen M, Torous J, Raynowska J, Piazza A, Grudzen C, Powers S, Lipton R, Sevick M. Electronic behavioral interventions for headache: a systematic review. The Journal of Headache and Pain 2016;17(1) View
  116. Yun K, Xu J, Leuba S, Zhu Y, Zhang J, Chu Z, Geng W, Jiang Y, Shang H. Development and Validation of a Personalized Social Media Platform–Based HIV Incidence Risk Assessment Tool for Men Who Have Sex With Men in China. Journal of Medical Internet Research 2019;21(6):e13475 View
  117. Brusk J, Bensley R. A Comparison of Mobile and Fixed Device Access on User Engagement Associated With Women, Infants, and Children (WIC) Online Nutrition Education. JMIR Research Protocols 2016;5(4):e216 View
  118. Badawy S, Shah R, Beg U, Heneghan M. 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 View
  119. Shattuck D, Haile L, Simmons R. Lessons From the Dot Contraceptive Efficacy Study: Analysis of the Use of Agile Development to Improve Recruitment and Enrollment for mHealth Research. JMIR mHealth and uHealth 2018;6(4):e99 View
  120. Lazard A, Saffer A, Horrell L, Benedict C, Love B. Peer‐to‐peer connections: Perceptions of a social support app designed for young adults with cancer. Psycho-Oncology 2020;29(1):173 View
  121. Brewer L, Hayes S, Caron A, Derby D, Breutzman N, Wicks A, Raman J, Smith C, Schaepe K, Sheets R, Jenkins S, Lackore K, Johnson J, Jones C, Radecki Breitkopf C, Cooper L, Patten C, Newton R. Promoting cardiovascular health and wellness among African-Americans: Community participatory approach to design an innovative mobile-health intervention. PLOS ONE 2019;14(8):e0218724 View
  122. Ahn J, Lee H, Kim J, Park H, Kim D, Lee J. Use of a Smartphone App for Weight Loss Versus a Paper-Based Dietary Diary in Overweight Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e14013 View
  123. Broom D, Flint S. Gotta Catch ‘Em All: Impact of Pokémon Go on Physical Activity, Sitting Time, and Perceptions of Physical Activity and Health at Baseline and Three-Month Follow-Up. Games for Health Journal 2018;7(6):401 View
  124. Guo H, Zhang Y, Li P, Zhou P, Chen L, Li S. Evaluating the effects of mobile health intervention on weight management, glycemic control and pregnancy outcomes in patients with gestational diabetes mellitus. Journal of Endocrinological Investigation 2019;42(6):709 View
  125. Nam S, Han S, Gilligan M. Internet Use and Preventive Health Behaviors Among Couples in Later Life: Evidence from the Health and Retirement Study. The Gerontologist 2019;59(1):69 View
  126. Wortley D, An J, Heshmati A. Tackling the Challenge of the Aging Society: Detecting and Preventing Cognitive and Physical Decline through Games and Consumer Technologies. Healthcare Informatics Research 2017;23(2):87 View
  127. Klenk S, Reifegerste D, Renatus R. Gender differences in gratifications from fitness app use and implications for health interventions. Mobile Media & Communication 2017;5(2):178 View
  128. Zhang J, Calabrese C, Ding J, Liu M, Zhang B. Advantages and challenges in using mobile apps for field experiments: A systematic review and a case study. Mobile Media & Communication 2018;6(2):179 View
  129. Scheerman J, van Empelen P, van Loveren C, van Meijel B. A Mobile App (WhiteTeeth) to Promote Good Oral Health Behavior Among Dutch Adolescents with Fixed Orthodontic Appliances: Intervention Mapping Approach. JMIR mHealth and uHealth 2018;6(8):e163 View
  130. Santana C, Freitas A, Oliveira Barreto G, Sousa De Avelar I, Mazaro-Costa R, Bueno G, Ribeiro D, Damasceno Silva G, Naghettini A. Serious Game on a Smartphone for Adolescents Undergoing Hemodialysis: Development and Evaluation. JMIR Serious Games 2020;8(3):e17979 View
  131. Klonoff D, Kerr D. Overcoming Barriers to Adoption of Digital Health Tools for Diabetes. Journal of Diabetes Science and Technology 2018;12(1):3 View
  132. Volkova E, Li N, Dunford E, Eyles H, Crino M, Michie J, Ni Mhurchu C. “Smart” RCTs: Development of a Smartphone App for Fully Automated Nutrition-Labeling Intervention Trials. JMIR mHealth and uHealth 2016;4(1):e23 View
  133. Karasneh R, Al-Azzam S, Alzoubi K, Muflih S, Hawamdeh S. Smartphone Applications for Period Tracking: Rating and Behavioral Change among Women Users. Obstetrics and Gynecology International 2020;2020:1 View
  134. del Río Carral M, Roux P, Bruchez C, Santiago-Delefosse M. Santé digitale : promesses, défis et craintes. Une revue de la littérature. Pratiques Psychologiques 2017;23(1):61 View
  135. Bauer M, Glenn T, Monteith S, Bauer R, Whybrow P, Geddes J. Ethical perspectives on recommending digital technology for patients with mental illness. International Journal of Bipolar Disorders 2017;5(1) View
  136. Haga S, Shaw R, Kneifel C, Bond S, Ginsburg G. Promoting Wellness Through Mobile Health Technology in a College Student Population: Protocol Development and Pilot Study. JMIR Research Protocols 2020;9(4):e16474 View
  137. Oakley-Girvan I, Lavista J, Miller Y, Davis S, Acle C, Hancock J, Nelson L. Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study. JMIR Formative Research 2019;3(1):e10246 View
  138. Apolinário-Hagen J, Hennemann S, Fritsche L, Drüge M, Breil B. Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study. JMIR Mental Health 2019;6(11):e15373 View
  139. Sun C, Anderson K, Kuhn T, Mayer L, Klein C. A Sexual Health Promotion App for Transgender Women (Trans Women Connected): Development and Usability Study. JMIR mHealth and uHealth 2020;8(5):e15888 View
  140. Rader S, Dorner T, Schoberberger R, Wolf H. Effects of a web-based follow-up intervention on self-efficacy in obesity treatment for women. Wiener klinische Wochenschrift 2017;129(13-14):472 View
  141. Hendrie G, Hussain M, Brindal E, James-Martin G, Williams G, Crook A. Impact of a Mobile Phone App to Increase Vegetable Consumption and Variety in Adults: Large-Scale Community Cohort Study. JMIR mHealth and uHealth 2020;8(4):e14726 View
  142. Haga S. Toward digital-based interventions for medication adherence and safety. Expert Opinion on Drug Safety 2020;19(6):735 View
  143. Sigler B. Investigating the Perceptions of Care Coordinators on Using Behavior Theory-Based Mobile Health Technology With Medicaid Populations: A Grounded Theory Study. JMIR mHealth and uHealth 2017;5(3):e36 View
  144. Olsen S, Saperstein S, Gold R. Content and Feature Preferences for a Physical Activity App for Adults with Physical Disabilities: Focus Group Findings (Preprint). JMIR mHealth and uHealth 2019 View
  145. Li H, Lewis C, Chi H, Singleton G, Williams N. Mobile health applications for mental illnesses: An Asian context. Asian Journal of Psychiatry 2020;54:102209 View
  146. Ryan B, King R. How ready is ready? Measuring physical preparedness for severe storms. Natural Hazards 2020;104(1):171 View
  147. Trub L, Starks T. Textual Healing: Proof of Concept Study Examining the Impact of a Mindfulness Intervention on Smartphone Behavior. Mindfulness 2017;8(5):1225 View
  148. Nguyen E, Bugno L, Kandah C, Plevinsky J, Poulopoulos N, Wojtowicz A, Schneider K, Greenley R. Is There a Good App for That? Evaluating m-Health Apps for Strategies That Promote Pediatric Medication Adherence. Telemedicine and e-Health 2016;22(11):929 View
  149. Tudor-Sfetea C, Rabee R, Najim M, Amin N, Chadha M, Jain M, Karia K, Kothari V, Patel T, Suseeharan M, Ahmed M, Sherwani Y, Siddiqui S, Lin Y, Eisingerich A. Evaluation of Two Mobile Health Apps in the Context of Smoking Cessation: Qualitative Study of Cognitive Behavioral Therapy (CBT) Versus Non-CBT-Based Digital Solutions. JMIR mHealth and uHealth 2018;6(4):e98 View
  150. Bennett K, Clary K, Smith D, Lee C. Usability and Acceptability of a Mobile App to Help Emerging Adults Address their Friends' Substance Use (Harbor): Quantitative Study. Journal of Medical Internet Research 2020;22(11):e16632 View
  151. Hirano M, Ogura K, Kitahara M, Sakamoto D, Shimoyama H. Designing behavioral self-regulation application for preventive personal mental healthcare. Health Psychology Open 2017;4(1):205510291770718 View
  152. Elbert S, Dijkstra A, Oenema A. A Mobile Phone App Intervention Targeting Fruit and Vegetable Consumption: The Efficacy of Textual and Auditory Tailored Health Information Tested in a Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e147 View
  153. Rathbone A, Clarry L, Prescott J. Assessing the Efficacy of Mobile Health Apps Using the Basic Principles of Cognitive Behavioral Therapy: Systematic Review. Journal of Medical Internet Research 2017;19(11):e399 View
  154. Seifert A, Reinwand D, Schlomann A. Designing and Using Digital Mental Health Interventions for Older Adults: Being Aware of Digital Inequality. Frontiers in Psychiatry 2019;10 View
  155. Zhao J, Freeman B, Li M. Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review. Journal of Medical Internet Research 2016;18(11):e287 View
  156. Davis S, Oakley-Girvan I. Achieving value in mobile health applications for cancer survivors. Journal of Cancer Survivorship 2017;11(4):498 View
  157. Schwarting A, Dreher M, Assmann G, Witte T, Hoeper K, Schmidt R. Erfahrungen und Ergebnisse aus Rheuma-VOR. Zeitschrift für Rheumatologie 2019;78(8):743 View
  158. Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1) View
  159. Petersen J, 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 View
  160. Strotbaum V, Pobiruchin M, Schreiweis B, Wiesner M, Strahwald B. Your data is gold – Data donation for better healthcare?. it - Information Technology 2019;61(5-6):219 View
  161. Barratt P. Healthy competition: A qualitative study investigating persuasive technologies and the gamification of cycling. Health & Place 2017;46:328 View
  162. Mrazek A, Mrazek M, Cherolini C, Cloughesy J, Cynman D, Gougis L, Landry A, Reese J, Schooler J. The future of mindfulness training is digital, and the future is now. Current Opinion in Psychology 2019;28:81 View
  163. Mummah S, Robinson T, Mathur M, Farzinkhou S, Sutton S, Gardner C. Effect of a mobile app intervention on vegetable consumption in overweight adults: a randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1) View
  164. Jacobs S, Radnitz C, Hildebrandt T. Adherence as a predictor of weight loss in a commonly used smartphone application. Obesity Research & Clinical Practice 2017;11(2):206 View
  165. Badawy S, Barrera L, Cai S, Thompson A. Association between Participants’ Characteristics, Patient-Reported Outcomes, and Clinical Outcomes in Youth with Sickle Cell Disease. BioMed Research International 2018;2018:1 View
  166. Ross S. Policy, practice and regulatory issues in mobile technology treatment for forensic clients. European Journal of Probation 2018;10(1):44 View
  167. Ashford R, Lynch K, Curtis B. Technology and Social Media Use Among Patients Enrolled in Outpatient Addiction Treatment Programs: Cross-Sectional Survey Study. Journal of Medical Internet Research 2018;20(3):e84 View
  168. Ferrara G, Kim J, Lin S, Hua J, Seto E. A Focused Review of Smartphone Diet-Tracking Apps: Usability, Functionality, Coherence With Behavior Change Theory, and Comparative Validity of Nutrient Intake and Energy Estimates. JMIR mHealth and uHealth 2019;7(5):e9232 View
  169. Attwood S, Parke H, Larsen J, Morton K. Using a mobile health application to reduce alcohol consumption: a mixed-methods evaluation of the drinkaware track & calculate units application. BMC Public Health 2017;17(1) View
  170. Decker M, 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 View
  171. Fischer T, Stumpf P, Reinhardt G, Schwarz P, 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 View
  172. Miah S, Gammack J, Hasan N. Extending the framework for mobile health information systems Research: A content analysis. Information Systems 2017;69:1 View
  173. Delmas M, Kohli A. Can Apps Make Air Pollution Visible? User Engagement with Air Quality Information. SSRN Electronic Journal 2019 View
  174. Wiederhold B. Behavioral Health Apps Abundant, but Evidence-Based Research Nearly Nonexistent. Cyberpsychology, Behavior, and Social Networking 2015;18(6):309 View
  175. Waite-Jones J, Majeed-Ariss R, Smith J, Stones S, Van Rooyen V, Swallow V. Young People’s, Parents’, and Professionals’ Views on Required Components of Mobile Apps to Support Self-Management of Juvenile Arthritis: Qualitative Study. JMIR mHealth and uHealth 2018;6(1):e25 View
  176. Chehade M, Yadav L, Jayatilaka A, Gill T, Palmer E. Personal digital health hubs for multiple conditions. Bulletin of the World Health Organization 2020;98(8):569 View
  177. Scott I, Scuffham P, Gupta D, Harch T, Borchi J, Richards B. Going digital: a narrative overview of the effects, quality and utility of mobile apps in chronic disease self-management. Australian Health Review 2020;44(1):62 View
  178. Oreglia E, Ly S, Tijamo C, Ou A, Free C, Smith C. Development of an Intervention to Support the Reproductive Health of Cambodian Women Who Seek Medical Abortion: Research Protocol. JMIR Research Protocols 2020;9(7):e17779 View
  179. Milward J, Khadjesari Z, Fincham-Campbell S, Deluca P, Watson R, Drummond C. User Preferences for Content, Features, and Style for an App to Reduce Harmful Drinking in Young Adults: Analysis of User Feedback in App Stores and Focus Group Interviews. JMIR mHealth and uHealth 2016;4(2):e47 View
  180. Robbins R, Krebs P, Jagannathan R, Jean-Louis G, Duncan D. Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status. JMIR mHealth and uHealth 2017;5(12):e197 View
  181. Adu M, Malabu U, Malau-Aduli A, Drovandi A, Malau-Aduli B. 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 View
  182. Paslakis G, Fischer-Jacobs J, Pape L, Schiffer M, Gertges R, Tegtbur U, Zimmermann T, Nöhre M, de Zwaan M. Assessment of Use and Preferences Regarding Internet-Based Health Care Delivery: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research 2019;21(5):e12416 View
  183. Choo C, Burton A. Smartphone Apps for Mindfulness Interventions for Suicidality in Asian Youths: Literature Review. JMIR mHealth and uHealth 2018;6(6):e139 View
  184. Cook V, Ellis A, Hildebrand K. Mobile health applications in clinical practice: pearls, pitfalls, and key considerations. Annals of Allergy, Asthma & Immunology 2016;117(2):143 View
  185. M Quintiliani L, Mann D, Puputti M, Quinn E, Bowen D. Pilot and Feasibility Test of a Mobile Health-Supported Behavioral Counseling Intervention for Weight Management Among Breast Cancer Survivors. JMIR Cancer 2016;2(1):e4 View
  186. Salzwedel A, Rabe S, Zahn T, Neuwirth J, Eichler S, Haubold K, Wachholz A, Reibis R, Völler H. User Interest in Digital Health Technologies to Encourage Physical Activity: Results of a Survey in Students and Staff of a German University. JMIR mHealth and uHealth 2017;5(4):e51 View
  187. Hekler E, Tiro J, Hunter C, Nebeker C. Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision. Annals of Behavioral Medicine 2020;54(11):805 View
  188. Hoj T, Covey E, Jones A, Haines A, Hall P, Crookston B, West J. How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms. JMIR mHealth and uHealth 2017;5(8):e114 View
  189. Lopez-Castroman J, Abad-Tortosa D, Cobo Aguilera A, Courtet P, Barrigón M, Artés A, Baca-García E. Psychiatric Profiles of eHealth Users Evaluated Using Data Mining Techniques: Cohort Study. JMIR Mental Health 2021;8(1):e17116 View
  190. MacPherson M, Merry K, Locke S, Jung M. 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 View
  191. Huang C, Chen S, Tang C, Huang H. A trade-off dual-factor model to investigate discontinuous intention of health app users: From the perspective of information disclosure. Journal of Biomedical Informatics 2019;100:103302 View
  192. Mishra A, Maheswarappa S. How Content Valence and Online Impression Influence Goal Achievement in Social Media Environment?. Global Business Review 2019;20(5):1267 View
  193. Merkouris S, Hawker C, Rodda S, Youssef G, Dowling N. GamblingLess: Curb Your Urge: Development and usability testing of a smartphone-delivered ecological momentary intervention for problem gambling. International Gambling Studies 2020;20(3):515 View
  194. Gentili C, Zetterqvist V, Rickardsson J, Holmström L, Simons L, Wicksell R. ACTsmart – development and feasibility of digital Acceptance and Commitment Therapy for adults with chronic pain. npj Digital Medicine 2020;3(1) View
  195. Kwan V, Hagen G, Noel M, Dobson K, Yeates K. Healthcare at Your Fingertips: The Professional Ethics of Smartphone Health-Monitoring Applications. Ethics & Behavior 2017;27(8):615 View
  196. Whitelock V, Kersbergen I, Higgs S, Aveyard P, Halford J, Robinson E. User Experiences of a Smartphone-Based Attentive Eating App and Their Association With Diet and Weight Loss Outcomes: Thematic and Exploratory Analyses From a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(10):e16780 View
  197. Bruce C, Harrison P, Giammattei C, Desai S, Sol J, Jones S, Schwartz R. Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes. JMIR mHealth and uHealth 2020;8(11):e17577 View
  198. Schultchen D, Terhorst Y, Holderied T, Stach M, Messner E, Baumeister H, Sander L. Stay Present with Your Phone: A Systematic Review and Standardized Rating of Mindfulness Apps in European App Stores. International Journal of Behavioral Medicine 2020 View
  199. Gambalunga F, Iacorossi L, Notarnicola I, Serra V, Piredda M, De Marinis M. Mobile Health in Adherence to Oral Anticancer Drugs. CIN: Computers, Informatics, Nursing 2021;39(1):17 View
  200. Brown A, Sutherland R, Janssen L, Hudson N, Chooi A, Reynolds R, Walton A, Lecathelinais C, Reilly K, Nathan N, Wolfenden L. Enhancing the potential effects of text messages delivered via an m-health intervention to improve packing of healthy school lunchboxes. Public Health Nutrition 2021;24(10):2867 View
  201. Baroutsou V, Hatz C, Blanke U, Haile S, Fehr J, Neumayr A, Puhan M, Bühler S. TOURIST2 – Tracking of urgent risks in swiss travellers to the 6 main travel destinations – Feasibility and ethical considerations of a smartphone application-based study. Travel Medicine and Infectious Disease 2021;39:101912 View
  202. Li T, Chen X, Wang J, Chen L, Cai W. A Mobile App-based Intervention for Pregnant Women With Stress Urinary Incontinence: Protocol for a Hybrid Effectiveness-Implementation Trial (Preprint). JMIR Research Protocols 2020 View
  203. Davis T, DiClemente R, 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 View
  204. Gilbey D, Morgan H, Lin A, Perry Y. Effectiveness, Acceptability, and Feasibility of Digital Health Interventions for LGBTIQ+ Young People: Systematic Review. Journal of Medical Internet Research 2020;22(12):e20158 View
  205. Bhurosy T, Middlestadt S, Lin H, Thiagarajah K, Fly A. A Randomized mHealth Trial to Promote Vegetable Intake Through Counting and Goal Setting. Journal of Nutrition Education and Behavior 2020;52(12):1111 View
  206. Pathiravasan C, Zhang Y, Trinquart L, Benjamin E, Borrelli B, McManus D, Kheterpal V, Lin H, Sardana M, Hammond M, Spartano N, Dunn A, Schramm E, Nowak C, Manders E, Liu H, Kornej J, Liu C, Murabito J. Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study. Journal of Medical Internet Research 2021;23(1):e24773 View
  207. Cho H, Chi C, Chiu W. Understanding sustained usage of health and fitness apps: Incorporating the technology acceptance model with the investment model. Technology in Society 2020;63:101429 View
  208. Müssener U, Thomas K, Linderoth C, Löf M, Åsberg K, Henriksson P, Bendtsen M. Development of an Intervention Targeting Multiple Health Behaviors Among High School Students: Participatory Design Study Using Heuristic Evaluation and Usability Testing. JMIR mHealth and uHealth 2020;8(10):e17999 View
  209. Stehr P, Karnowski V, Rossmann C. The multi-faceted usage patterns of nutrition apps: a survey on the appropriation of nutrition apps among German-speaking users of MyFitnessPal. BMC Medical Informatics and Decision Making 2020;20(1) View
  210. Pizarro-Ruiz J, Ordóñez-Camblor N, Del-Líbano M, Escolar-LLamazares M. Influence on Forgiveness, Character Strengths and Satisfaction with Life of a Short Mindfulness Intervention via a Spanish Smartphone Application. International Journal of Environmental Research and Public Health 2021;18(2):802 View
  211. Keaver L, Loftus A, Quinn L. A review of iPhone and Android apps for cancer patients and survivors: assessing their quality, nutrition information and behaviour change techniques. Journal of Human Nutrition and Dietetics 2021;34(3):572 View
  212. Lin Y, Chen S, Lin P, Tai A, Pan Y, Hsieh C, Lin S. Assessing User Retention of a Mobile App: Survival Analysis. JMIR mHealth and uHealth 2020;8(11):e16309 View
  213. Xu H, Long H. The Effect of Smartphone App–Based Interventions for Patients With Hypertension: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2020;8(10):e21759 View
  214. Stork M, Bell E, Jung M. Examining the Impact of a Mobile Health App on Functional Movement and Physical Fitness: Pilot Pragmatic Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(5):e24076 View
  215. Martin E, Di Meglio A, Charles C, Ferreira A, Gbenou A, Blond M, Fagnou B, Arvis J, Pistilli B, Saghatchian M, Vaz Luis I. Use of mHealth to Increase Physical Activity Among Breast Cancer Survivors With Fatigue: Qualitative Exploration. JMIR Cancer 2021;7(1):e23927 View
  216. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429 View
  217. Bahadoor R, Alexandre J, Fournet L, Gellé T, Serre F, Auriacombe M. Inventory and Analysis of Controlled Trials of Mobile Phone Applications Targeting Substance Use Disorders: A Systematic Review. Frontiers in Psychiatry 2021;12 View
  218. Martinez W, Threatt A, Rosenbloom S, Wallston K, Hickson G, Elasy T. A Patient-Facing Diabetes Dashboard Embedded in a Patient Web Portal: Design Sprint and Usability Testing. JMIR Human Factors 2018;5(3):e26 View
  219. Hamaya R, Fukuda H, Takebayashi M, Mori M, Matsushima R, Nakano K, Miyake K, Tani Y, Yokokawa H. Effects of an mHealth App (Kencom) With Integrated Functions for Healthy Lifestyles on Physical Activity Levels and Cardiovascular Risk Biomarkers: Observational Study of 12,602 Users. Journal of Medical Internet Research 2021;23(4):e21622 View
  220. Zhang C, Lakens D, IJsselsteijn W. Theory Integration for Lifestyle Behavior Change in the Digital Age: An Adaptive Decision-Making Framework. Journal of Medical Internet Research 2021;23(4):e17127 View
  221. Niu Z, Qin Z, Hu P, Wang T. Health Beliefs, Trust in Media Sources, Health Literacy, and Preventive Behaviors among High-Risk Chinese for COVID-19. Health Communication 2021:1 View
  222. Zimmermann B, Fiske A, Prainsack B, Hangel N, McLennan S, Buyx A. Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study. Journal of Medical Internet Research 2021;23(2):e25525 View
  223. Choi J, Chung C, Woo H. Diet-Related Mobile Apps to Promote Healthy Eating and Proper Nutrition: A Content Analysis and Quality Assessment. International Journal of Environmental Research and Public Health 2021;18(7):3496 View
  224. Fogarty H, Gaul A, Syed S, Aleksejenko N, Geoghegan R, Conroy H, Crampton E, Ngwenya N, Tuohy E, McMahon C. Adherence to hydroxyurea, health-related quality of life domains and attitudes towards a smartphone app among Irish adolescents and young adults with sickle cell disease. Irish Journal of Medical Science (1971 -) 2021 View
  225. Sun R, Han W, Chang H, Shaw M. Motivating Adherence to Exercise Plans Through a Personalized Mobile Health App: Enhanced Action Design Research Approach. JMIR mHealth and uHealth 2021;9(6):e19941 View
  226. May C, St George J, Lane S. Fathers Raising Children on the Autism Spectrum: Lower Stress and Higher Self-Efficacy Following SMS (Text2dads) Intervention. Journal of Autism and Developmental Disorders 2021 View
  227. Hawker C, Merkouris S, Youssef G, Dowling N. A Smartphone-Delivered Ecological Momentary Intervention for Problem Gambling (GamblingLess: Curb Your Urge): Single-Arm Acceptability and Feasibility Trial. Journal of Medical Internet Research 2021;23(3):e25786 View
  228. Russ S, Sevdalis N, Ocloo J. A Smartphone App Designed to Empower Patients to Contribute Toward Safer Surgical Care: Qualitative Evaluation of Diverse Public and Patient Perceptions Using Focus Groups. JMIR mHealth and uHealth 2021;9(4):e24065 View
  229. Hazel C, Bull S, Greenwell E, Bunik M, Puma J, Perraillon M. Systematic review of cost-effectiveness analysis of behavior change communication apps: Assessment of key methods. DIGITAL HEALTH 2021;7:205520762110005 View
  230. Yilmaz S, Bohara A. mHealth: Potentials and Risks for Addressing Mental Health and Well-Being Issues Among Nepali Adolescents. Frontiers in Public Health 2021;9 View
  231. Badawy S, Cronin R, Liem R, Palermo T. Digital behavioural interventions for people with sickle cell disease. Cochrane Database of Systematic Reviews 2021 View
  232. Chang W, Wang Y, Chang Y, Lo S. Effectiveness of an App-Based Mobile Intervention for Precision Oral Self-Care in Patients with Periodontitis from Initial Therapy to Re-Evaluation. Applied Sciences 2021;11(9):4229 View
  233. Mehta P, Moore S, Bull S, Kwan B. Building MedVenture – A mobile health application to improve adolescent medication adherence – Using a multidisciplinary approach and academic–industry collaboration. DIGITAL HEALTH 2021;7:205520762110198 View
  234. Rinawan F, Susanti A, Amelia I, Ardisasmita M, Widarti , Dewi R, Ferdian D, Purnama W, Purbasari A. Understanding mobile application development and implementation for monitoring Posyandu data in Indonesia: a 3-year hybrid action study to build “a bridge” from the community to the national scale. BMC Public Health 2021;21(1) View
  235. Willems S, Rao J, Bhambere S, Patel D, Biggins Y, Guite J. 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 View
  236. Khanjari S, Bell E, Sadeghi L, Sabzehei M, Haghani S. The impact of a mobile health intervention on the sense of coherence and quality of life of mothers with premature infants. Journal of Neonatal Nursing 2021 View
  237. Temsah M, Abouammoh N, Ashry A, Al-Eyadhy A, Alhaboob A, Alsohime F, Almazyad M, Alabdulhafid M, Temsah R, Aljamaan F, Jamal A, Halwani R, Alhasan K, Al-Tawfiq J, 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 View
  238. Müssener U. Digital encounters: Human interactions in mHealth behavior change interventions. DIGITAL HEALTH 2021;7:205520762110297 View
  239. Degroote L, De Paepe A, De Bourdeaudhuij I, Van Dyck D, Crombez G. Effectiveness of the mHealth intervention ‘MyDayPlan’ to increase physical activity: an aggregated single case approach. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  240. Baek Y, Jeong K, Lee S, Kim H, Seo B, Jin H. Feasibility and Effectiveness of Assessing Subhealth Using a Mobile Health Management Application in Early Middle-Aged Koreans: A Randomized Controlled Trial (Preprint). JMIR mHealth and uHealth 2021 View
  241. Shah A, O’Dwyer L, Badawy S. Telemedicine in Malignant and Nonmalignant Hematology: Systematic Review of Pediatric and Adult Studies. JMIR mHealth and uHealth 2021;9(7):e29619 View
  242. Tu Y, Chang Y, Chiou H, Lai K. The Effects of Continuous Usage of a Diabetes Management App on Glycemic Control in Real-world Clinical Practice: Retrospective Analysis. Journal of Medical Internet Research 2021;23(7):e23227 View
  243. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308 View
  244. Lucassen D, Lasschuijt M, Camps G, Van Loo E, Fischer A, de Vries R, Haarman J, Simons M, de Vet E, Bos-de Vos M, Pan S, Ren X, de Graaf K, Lu Y, Feskens E, Brouwer-Brolsma E. Short and Long-Term Innovations on Dietary Behavior Assessment and Coaching: Present Efforts and Vision of the Pride and Prejudice Consortium. International Journal of Environmental Research and Public Health 2021;18(15):7877 View
  245. Hoevenaars D, Holla J, te Loo L, Koedijker J, Dankers S, Houdijk H, Visser B, Janssen T, de Groot S, Deutekom M. Mobile App (WHEELS) to Promote a Healthy Lifestyle in Wheelchair Users With Spinal Cord Injury or Lower Limb Amputation: Usability and Feasibility Study. JMIR Formative Research 2021;5(8):e24909 View

Books/Policy Documents

  1. Pereira A, Esteves M, Weber A, Francisco M. Interactive Mobile Communication Technologies and Learning. View
  2. Herrington H, Araujo P, Doerfler B. Creating a Lifestyle Medicine Center. View
  3. McMickens C, Landers A. Pediatric Mental Health for Primary Care Providers. View
  4. Mecili O, Hadj B, Nouioua F, Akhrouf S, Malek R. Internet of Things, Infrastructures and Mobile Applications. View
  5. Farmer A, Pal K. Diabetes Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. View
  6. Mollee J, Klein M. Advances in Artificial Intelligence: From Theory to Practice. View
  7. Rossmann C, Krömer N. eHealth in Deutschland. View
  8. Levin-Zamir D, Parial L. Encyclopedia of Gerontology and Population Aging. View
  9. Farmer A, Pal K. Diabetes. Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. View
  10. Adewumi A, Olatunde G, Misra S, Maskeliūnas R, Damaševičius R. Information Technology Science. View
  11. Kim K, Jalil S, Ngo V. Consumer Informatics and Digital Health. View
  12. Martinez-Martin N. Ethical Dimensions of Commercial and DIY Neurotechnologies. View
  13. Blankers M, Salemink E, Wiers R. e-Mental Health. View
  14. Bamidis P, Gabarron E, Hors-Fraile S, Konstantinidis E, Konstantinidis S, Rivera O. Participatory Health Through Social Media. View
  15. Sacramento I, Wanick V. Mobile e-Health. View
  16. Alturki R, Gay V. Recent Trends and Advances in Wireless and IoT-enabled Networks. View
  17. LaBelle M, Strong C, Tseng Y. Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity. View
  18. Riva S, Hampton P, Chinyio E. Collaboration and Integration in Construction, Engineering, Management and Technology. View
  19. Mukami V, Millham R, Puckree T, Fong S. Proceeding of First Doctoral Symposium on Natural Computing Research. View