RefCheck Maintenance Notice

On Monday, December 3, 2018, from 16:00-18:00 EST, RefCheck will be undergoing maintenance. RefCheck is the process where, during copyediting, all references are extracted from the manuscript file, parsed, matched against various databases (eg, PubMed and CrossRef), and automatically corrected. For more information on RefCheck, please visit our Knowledge Base.

Who will be affected?

Citing this Article

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

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

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

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

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

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

  1. Mrazek AJ, Mrazek MD, Cherolini CM, Cloughesy JN, Cynman DJ, Gougis LJ, Landry AP, Reese JV, Schooler JW. The future of mindfulness training is digital, and the future is now. Current Opinion in Psychology 2019;28:81
    CrossRef
  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 2018;:1357633X1876840
    CrossRef
  3. Schumer H, Amadi C, Joshi A. Evaluating the Dietary and Nutritional Apps in the Google Play Store. Healthcare Informatics Research 2018;24(1):38
    CrossRef
  4. Ross S. Policy, practice and regulatory issues in mobile technology treatment for forensic clients. European Journal of Probation 2018;10(1):44
    CrossRef
  5. 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
  6. Shattuck D, Haile LT, Simmons RG. Lessons From the Dot Contraceptive Efficacy Study: Analysis of the Use of Agile Development to Improve Recruitment and Enrollment for mHealth Research. JMIR mHealth and uHealth 2018;6(4):e99
    CrossRef
  7. Broom DR, Flint SW. Gotta Catch ‘Em All: Impact of Pokémon Go on Physical Activity, Sitting Time, and Perceptions of Physical Activity and Health at Baseline and Three-Month Follow-Up. Games for Health Journal 2018;7(6):401
    CrossRef
  8. 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 2018;
    CrossRef
  9. Nam S, Han SH, Gilligan M. Internet Use and Preventive Health Behaviors Among Couples in Later Life: Evidence from the Health and Retirement Study. The Gerontologist 2018;
    CrossRef
  10. McKay FH, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):22
    CrossRef
  11. Zhang J, Calabrese C, Ding J, Liu M, Zhang B. Advantages and challenges in using mobile apps for field experiments: A systematic review and a case study. Mobile Media & Communication 2018;6(2):179
    CrossRef
  12. Koch MC, Lermann J, van de Roemer N, Renner SK, Burghaus S, Hackl J, Dittrich R, Kehl S, Oppelt PG, Hildebrandt T, Hack CC, Pöhls UG, Renner SP, Thiel FC. Improving usability and pregnancy rates of a fertility monitor by an additional mobile application: results of a retrospective efficacy study of Daysy and DaysyView app. Reproductive Health 2018;15(1)
    CrossRef
  13. Scheerman JFM, van Empelen P, van Loveren C, van Meijel B. A Mobile App (WhiteTeeth) to Promote Good Oral Health Behavior Among Dutch Adolescents with Fixed Orthodontic Appliances: Intervention Mapping Approach. JMIR mHealth and uHealth 2018;6(8):e163
    CrossRef
  14. Klonoff DC, Kerr D. Overcoming Barriers to Adoption of Digital Health Tools for Diabetes. Journal of Diabetes Science and Technology 2018;12(1):3
    CrossRef
  15. Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1)
    CrossRef
  16. Burnett-Zeigler IE, Waldron EM, Hong S, Yang A, Wisner KL, Ciolino JD. Accessibility and feasibility of using technology to support mindfulness practice, reduce stress and promote long term mental health. Complementary Therapies in Clinical Practice 2018;33:93
    CrossRef
  17. Ferranti D, Lorenzo D, Munoz-Rojas D, Gonzalez-Guarda RM. Health education needs of intimate partner violence survivors: Perspectives from female survivors and social service providers. Public Health Nursing 2018;35(2):118
    CrossRef
  18. Thornton L, Kay-Lambkin F, Tebbutt B, Hanstock TL, Baker AL. A Mobile Phone–Based Healthy Lifestyle Monitoring Tool for People With Mental Health Problems (MyHealthPA): Development and Pilot Testing. JMIR Cardio 2018;2(2):e10228
    CrossRef
  19. Robbins R, Krebs P, Rapoport DM, Jean-Louis G, Duncan DT. Examining Use of Mobile Phones for Sleep Tracking Among a National Sample in the USA. Health Communication 2018;:1
    CrossRef
  20. Tudor-Sfetea C, Rabee R, Najim M, Amin N, Chadha M, Jain M, Karia K, Kothari V, Patel T, Suseeharan M, Ahmed M, Sherwani Y, Siddiqui S, Lin Y, Eisingerich AB. Evaluation of Two Mobile Health Apps in the Context of Smoking Cessation: Qualitative Study of Cognitive Behavioral Therapy (CBT) Versus Non-CBT-Based Digital Solutions. JMIR mHealth and uHealth 2018;6(4):e98
    CrossRef
  21. Ashford RD, Lynch K, Curtis B. Technology and Social Media Use Among Patients Enrolled in Outpatient Addiction Treatment Programs: Cross-Sectional Survey Study. Journal of Medical Internet Research 2018;20(3):e84
    CrossRef
  22. Badawy SM, Barrera L, Cai S, Thompson AA. Association between Participants’ Characteristics, Patient-Reported Outcomes, and Clinical Outcomes in Youth with Sickle Cell Disease. BioMed Research International 2018;2018:1
    CrossRef
  23. Waite-Jones JM, Majeed-Ariss R, Smith J, Stones SR, Van Rooyen V, Swallow V. Young People’s, Parents’, and Professionals’ Views on Required Components of Mobile Apps to Support Self-Management of Juvenile Arthritis: Qualitative Study. JMIR mHealth and uHealth 2018;6(1):e25
    CrossRef
  24. 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 2018;
    CrossRef
  25. Badawy SM, Cronin RM, Hankins J, Crosby L, DeBaun M, Thompson AA, Shah N. Patient-Centered eHealth Interventions for Children, Adolescents, and Adults With Sickle Cell Disease: Systematic Review. Journal of Medical Internet Research 2018;20(7):e10940
    CrossRef
  26. Mishra A, Maheswarappa SS. How Content Valence and Online Impression Influence Goal Achievement in Social Media Environment?. Global Business Review 2018;:097215091879396
    CrossRef
  27. 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
  28. 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 2018;
    CrossRef
  29. Kim J, Kang J, Kim H, Ko J, Kim H, Kim Y, Ko K, Lee M. Development of tailored contents of a mobile health application to prevent the metabolic syndrome. Korean Journal of Health Education and Promotion 2018;35(3):25
    CrossRef
  30. 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 2018;:1
    CrossRef
  31. Dalton JA, Rodger D, Wilmore M, Humphreys S, Skuse A, Roberts CT, Clifton VL, Beiki O. The Health-e Babies App for antenatal education: Feasibility for socially disadvantaged women. PLOS ONE 2018;13(5):e0194337
    CrossRef
  32. Chen JI, Smolenski DJ, Dobscha SK, Bush NE, Denneson LM. Correlates of Mental Health Smartphone Application Use among Patients with Suicidal Ideation. Journal of Technology in Human Services 2018;:1
    CrossRef
  33. Escoffery C, McGee R, Bidwell J, Sims C, Thropp EK, Frazier C, Mynatt ED. A review of mobile apps for epilepsy self-management. Epilepsy & Behavior 2018;81:62
    CrossRef
  34. Lee RA, Jung ME. Evaluation of an mHealth App (DeStressify) on University Students’ Mental Health: Pilot Trial. JMIR Mental Health 2018;5(1):e2
    CrossRef
  35. Hekler EB, Rivera DE, Martin CA, Phatak SS, Freigoun MT, Korinek E, Klasnja P, Adams MA, Buman MP. Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions. Journal of Medical Internet Research 2018;20(6):e214
    CrossRef
  36. Choo CC, Burton AAD. Mobile Phone Apps for Behavioral Interventions for At-Risk Drinkers in Australia: Literature Review. JMIR mHealth and uHealth 2018;6(2):e18
    CrossRef
  37. Choo CC, Burton AA. Smartphone Apps for Mindfulness Interventions for Suicidality in Asian Youths: Literature Review. JMIR mHealth and uHealth 2018;6(6):e139
    CrossRef
  38. Theodoulou I, Reddy AM, Wong J. Is innovative workforce planning software the solution to NHS staffing and cost crisis? An exploration of the locum industry. BMC Health Services Research 2018;18(1)
    CrossRef
  39. Rathbone AL, Clarry L, Prescott J. Assessing the Efficacy of Mobile Health Apps Using the Basic Principles of Cognitive Behavioral Therapy: Systematic Review. Journal of Medical Internet Research 2017;19(11):e399
    CrossRef
  40. Attwood S, Parke H, Larsen J, Morton KL. Using a mobile health application to reduce alcohol consumption: a mixed-methods evaluation of the drinkaware track & calculate units application. BMC Public Health 2017;17(1)
    CrossRef
  41. 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
  42. Kwan V, Hagen G, Noel M, Dobson K, Yeates K. Healthcare at Your Fingertips: The Professional Ethics of Smartphone Health-Monitoring Applications. Ethics & Behavior 2017;27(8):615
    CrossRef
  43. Dutheil F, Duclos M, Naughton G, Dewavrin S, Cornet T, Huguet P, Chatard J, Pereira B. WittyFit—Live Your Work Differently: Study Protocol for a Workplace-Delivered Health Promotion. JMIR Research Protocols 2017;6(4):e58
    CrossRef
  44. Hirano M, Ogura K, Kitahara M, Sakamoto D, Shimoyama H. Designing behavioral self-regulation application for preventive personal mental healthcare. Health Psychology Open 2017;4(1):205510291770718
    CrossRef
  45. Mummah S, Robinson TN, Mathur M, Farzinkhou S, Sutton S, Gardner CD. Effect of a mobile app intervention on vegetable consumption in overweight adults: a randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1)
    CrossRef
  46. Hoj TH, Covey EL, Jones AC, Haines AC, Hall PC, Crookston BT, West JH. How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms. JMIR mHealth and uHealth 2017;5(8):e114
    CrossRef
  47. Salzwedel A, Rabe S, Zahn T, Neuwirth J, Eichler S, Haubold K, Wachholz A, Reibis R, Völler H. User Interest in Digital Health Technologies to Encourage Physical Activity: Results of a Survey in Students and Staff of a German University. JMIR mHealth and uHealth 2017;5(4):e51
    CrossRef
  48. Robbins R, Krebs P, Jagannathan R, Jean-Louis G, Duncan DT. Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status. JMIR mHealth and uHealth 2017;5(12):e197
    CrossRef
  49. Jacobs S, Radnitz C, Hildebrandt T. Adherence as a predictor of weight loss in a commonly used smartphone application. Obesity Research & Clinical Practice 2017;11(2):206
    CrossRef
  50. Jallo N, Thacker LR, Menzies V, Stojanovic P, Svikis DS. A Stress Coping App for Hospitalized Pregnant Women at Risk for Preterm Birth. MCN, The American Journal of Maternal/Child Nursing 2017;42(5):257
    CrossRef
  51. Miah SJ, Gammack J, Hasan N. Extending the framework for mobile health information systems Research: A content analysis. Information Systems 2017;69:1
    CrossRef
  52. Barratt P. Healthy competition: A qualitative study investigating persuasive technologies and the gamification of cycling. Health & Place 2017;46:328
    CrossRef
  53. Seiler A, Klaas V, Tröster G, Fagundes CP. eHealth and mHealth interventions in the treatment of fatigued cancer survivors: A systematic review and meta-analysis. Psycho-Oncology 2017;26(9):1239
    CrossRef
  54. Davis SW, Oakley-Girvan I. Achieving value in mobile health applications for cancer survivors. Journal of Cancer Survivorship 2017;11(4):498
    CrossRef
  55. Sigler BE. Investigating the Perceptions of Care Coordinators on Using Behavior Theory-Based Mobile Health Technology With Medicaid Populations: A Grounded Theory Study. JMIR mHealth and uHealth 2017;5(3):e36
    CrossRef
  56. Badawy SM, Thompson AA, Kuhns LM. Medication Adherence and Technology-Based Interventions for Adolescents With Chronic Health Conditions: A Few Key Considerations. JMIR mHealth and uHealth 2017;5(12):e202
    CrossRef
  57. Rincon E, Monteiro-Guerra F, Rivera-Romero O, Dorronzoro-Zubiete E, Sanchez-Bocanegra CL, Gabarron E. Mobile Phone Apps for Quality of Life and Well-Being Assessment in Breast and Prostate Cancer Patients: Systematic Review. JMIR mHealth and uHealth 2017;5(12):e187
    CrossRef
  58. West P, Van Kleek M, Giordano R, Weal M, Shadbolt N. Information Quality Challenges of Patient-Generated Data in Clinical Practice. Frontiers in Public Health 2017;5
    CrossRef
  59. Schoeppe S, Alley S, Rebar AL, Hayman M, Bray NA, Van Lippevelde W, Gnam J, Bachert P, Direito A, Vandelanotte C. Apps to improve diet, physical activity and sedentary behaviour in children and adolescents: a review of quality, features and behaviour change techniques. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1)
    CrossRef
  60. Padilla VL, Rustad JK, Harvey PD, Wasserman B, Ziemer D, Musselman DL. Neurocognitive impairment in patients with comorbid diabetes mellitus and depression. Personalized Medicine in Psychiatry 2017;1-2:2
    CrossRef
  61. Lazzara EH, Baker AL, Abts N, Nathan-Roberts D, Ranton J, Fouquet S, Chaparro B. Going Mobile: Guiding the Development of Safer and More Effective Mobile Access in Healthcare. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2017;61(1):578
    CrossRef
  62. Trub L, Starks TJ. Textual Healing: Proof of Concept Study Examining the Impact of a Mindfulness Intervention on Smartphone Behavior. Mindfulness 2017;8(5):1225
    CrossRef
  63. Wortley D, An J, Heshmati A. Tackling the Challenge of the Aging Society: Detecting and Preventing Cognitive and Physical Decline through Games and Consumer Technologies. Healthcare Informatics Research 2017;23(2):87
    CrossRef
  64. Klenk S, Reifegerste D, Renatus R. Gender differences in gratifications from fitness app use and implications for health interventions. Mobile Media & Communication 2017;5(2):178
    CrossRef
  65. Simmons RG, Shattuck DC, Jennings VH. Assessing the Efficacy of an App-Based Method of Family Planning: The Dot Study Protocol. JMIR Research Protocols 2017;6(1):e5
    CrossRef
  66. 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
  67. Guo Y, Bian J, Leavitt T, Vincent HK, Vander Zalm L, Teurlings TL, Smith MD, Modave F. Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument. Journal of Medical Internet Research 2017;19(3):e67
    CrossRef
  68. del Río Carral M, Roux P, Bruchez C, Santiago-Delefosse M. Santé digitale : promesses, défis et craintes. Une revue de la littérature. Pratiques Psychologiques 2017;23(1):61
    CrossRef
  69. Rader S, Dorner TE, Schoberberger R, Wolf H. Effects of a web-based follow-up intervention on self-efficacy in obesity treatment for women. Wiener klinische Wochenschrift 2017;129(13-14):472
    CrossRef
  70. Bauer M, Glenn T, Monteith S, Bauer R, Whybrow PC, Geddes J. Ethical perspectives on recommending digital technology for patients with mental illness. International Journal of Bipolar Disorders 2017;5(1)
    CrossRef
  71. Stiles-Shields C, Montague E, Lattie EG, Kwasny MJ, Mohr DC. What might get in the way: Barriers to the use of apps for depression. DIGITAL HEALTH 2017;3:205520761771382
    CrossRef
  72. Volkova E, Li N, Dunford E, Eyles H, Crino M, Michie J, Ni Mhurchu C. “Smart” RCTs: Development of a Smartphone App for Fully Automated Nutrition-Labeling Intervention Trials. JMIR mHealth and uHealth 2016;4(1):e23
    CrossRef
  73. Patrick K, Hekler EB, Estrin D, Mohr DC, Riper H, Crane D, Godino J, Riley WT. The Pace of Technologic Change. American Journal of Preventive Medicine 2016;51(5):816
    CrossRef
  74. Mummah SA, Mathur M, King AC, Gardner CD, Sutton S. Mobile Technology for Vegetable Consumption: A Randomized Controlled Pilot Study in Overweight Adults. JMIR mHealth and uHealth 2016;4(2):e51
    CrossRef
  75. Kim JY, Wineinger NE, Steinhubl SR. The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e116
    CrossRef
  76. Lee SH, Nurmatov UB, Nwaru BI, Mukherjee M, Grant L, Pagliari C. Effectiveness of mHealth interventions for maternal, newborn and child health in low– and middle–income countries: Systematic review and meta–analysis. Journal of Global Health 2016;6(1)
    CrossRef
  77. M Quintiliani L, Mann DM, Puputti M, Quinn E, Bowen DJ. Pilot and Feasibility Test of a Mobile Health-Supported Behavioral Counseling Intervention for Weight Management Among Breast Cancer Survivors. JMIR Cancer 2016;2(1):e4
    CrossRef
  78. Cook VE, Ellis AK, Hildebrand KJ. Mobile health applications in clinical practice: pearls, pitfalls, and key considerations. Annals of Allergy, Asthma & Immunology 2016;117(2):143
    CrossRef
  79. Wang Q, Egelandsdal B, Amdam GV, Almli VL, Oostindjer M. Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR mHealth and uHealth 2016;4(2):e33
    CrossRef
  80. Domnich A, Arata L, Amicizia D, Signori A, Patrick B, Stoyanov S, Hides L, Gasparini R, Panatto D. Development and validation of the Italian version of the Mobile Application Rating Scale and its generalisability to apps targeting primary prevention. BMC Medical Informatics and Decision Making 2016;16(1)
    CrossRef
  81. Milward J, Khadjesari Z, Fincham-Campbell S, Deluca P, Watson R, Drummond C. User Preferences for Content, Features, and Style for an App to Reduce Harmful Drinking in Young Adults: Analysis of User Feedback in App Stores and Focus Group Interviews. JMIR mHealth and uHealth 2016;4(2):e47
    CrossRef
  82. Mummah SA, Robinson TN, King AC, Gardner CD, Sutton S. IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior. Journal of Medical Internet Research 2016;18(12):e317
    CrossRef
  83. Lobelo F, Kelli HM, Tejedor SC, Pratt M, McConnell MV, Martin SS, Welk GJ. The Wild Wild West: A Framework to Integrate mHealth Software Applications and Wearables to Support Physical Activity Assessment, Counseling and Interventions for Cardiovascular Disease Risk Reduction. Progress in Cardiovascular Diseases 2016;58(6):584
    CrossRef
  84. Minen MT, Torous J, Raynowska J, Piazza A, Grudzen C, Powers S, Lipton R, Sevick MA. Electronic behavioral interventions for headache: a systematic review. The Journal of Headache and Pain 2016;17(1)
    CrossRef
  85. Zhao J, Freeman B, Li M. Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review. Journal of Medical Internet Research 2016;18(11):e287
    CrossRef
  86. Elbert SP, Dijkstra A, Oenema A. A Mobile Phone App Intervention Targeting Fruit and Vegetable Consumption: The Efficacy of Textual and Auditory Tailored Health Information Tested in a Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e147
    CrossRef
  87. Brusk JJ, Bensley RJ. A Comparison of Mobile and Fixed Device Access on User Engagement Associated With Women, Infants, and Children (WIC) Online Nutrition Education. JMIR Research Protocols 2016;5(4):e216
    CrossRef
  88. Nguyen E, Bugno L, Kandah C, Plevinsky J, Poulopoulos N, Wojtowicz A, Schneider KL, Greenley RN. Is There a Good App for That? Evaluating m-Health Apps for Strategies That Promote Pediatric Medication Adherence. Telemedicine and e-Health 2016;22(11):929
    CrossRef
  89. Arheiam A, Albadri S, Brown S, Burnside G, Higham S, Harris R. Are diet diaries of value in recording dietary intake of sugars? A retrospective analysis of completion rates and information quality. British Dental Journal 2016;221(9):571
    CrossRef
  90. 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
  91. Badawy SM, Kuhns LM. Economic Evaluation of Text-Messaging and Smartphone-Based Interventions to Improve Medication Adherence in Adolescents with Chronic Health Conditions: A Systematic Review. JMIR mHealth and uHealth 2016;4(4):e121
    CrossRef
  92. Singh K, Drouin K, Newmark LP, Filkins M, Silvers E, Bain PA, Zulman DM, Lee J, Rozenblum R, Pabo E, Landman A, Klinger EV, Bates DW. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 2016;4(4):e136
    CrossRef
  93. Smith R, Menon J, Rajeev JG, Feinberg L, Kumar RK, Banerjee A. Potential for the use of mHealth in the management of cardiovascular disease in Kerala: a qualitative study. BMJ Open 2015;5(11):e009367
    CrossRef
  94. Wiederhold BK. Behavioral Health Apps Abundant, but Evidence-Based Research Nearly Nonexistent. Cyberpsychology, Behavior, and Social Networking 2015;18(6):309
    CrossRef
  95. Dedov VN, Dedova IV. Automated Management of Exercise Intervention at the Point of Care: Application of a Web-Based Leg Training System. JMIR Rehabilitation and Assistive Technologies 2015;2(2):e11
    CrossRef
  96. Payne HE, Moxley VB, MacDonald E. Health Behavior Theory in Physical Activity Game Apps: A Content Analysis. JMIR Serious Games 2015;3(2):e4
    CrossRef
  97. Modave F, Bian J, Leavitt T, Bromwell J, Harris III C, Vincent H. Low Quality of Free Coaching Apps With Respect to the American College of Sports Medicine Guidelines: A Review of Current Mobile Apps. JMIR mHealth and uHealth 2015;3(3):e77
    CrossRef
  98. Capobianco E. On Digital Therapeutics. Frontiers in Digital Humanities 2015;2
    CrossRef
  99. Knight E, Stuckey MI, Prapavessis H, Petrella RJ. Public Health Guidelines for Physical Activity: Is There an App for That? A Review of Android and Apple App Stores. JMIR mHealth and uHealth 2015;3(2):e43
    CrossRef
  100. Mendiola MF, Kalnicki M, Lindenauer S. Valuable Features in Mobile Health Apps for Patients and Consumers: Content Analysis of Apps and User Ratings. JMIR mHealth and uHealth 2015;3(2):e40
    CrossRef

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

:
  1. Adewumi A, Olatunde G, Misra S, Maskeliūnas R, Damaševičius R. Information Technology Science. 2018. Chapter 3:23
    CrossRef
  2. Pereira A, Esteves M, Weber AM, Francisco M. Interactive Mobile Communication Technologies and Learning. 2018. Chapter 67:681
    CrossRef
  3. McMickens CL, Landers AJ. Pediatric Mental Health for Primary Care Providers. 2018. Chapter 10:109
    CrossRef
  4. Farmer A, Pal K. Diabetes Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. 2018. Chapter 13:401
    CrossRef
  5. Farmer A, Pal K. Diabetes. Epidemiology, Genetics, Pathogenesis, Diagnosis, Prevention, and Treatment. 2018. Chapter 13-1:1
    CrossRef
  6. Mollee JS, Klein MCA. Advances in Artificial Intelligence: From Theory to Practice. 2017. Chapter 37:353
    CrossRef
  7. Sacramento I, Wanick V. Mobile e-Health. 2017. Chapter 3:39
    CrossRef
  8. Bamidis P, Gabarron E, Hors-Fraile S, Konstantinidis E, Konstantinidis S, Rivera O. Participatory Health Through Social Media. 2016. :112
    CrossRef
  9. Rossmann C, Krömer N. eHealth in Deutschland. 2016. Chapter 24:441
    CrossRef