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 16.05.14 in Vol 2, No 2 (2014): Apr-Jun

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

Works citing "mHealth 2.0: Experiences, Possibilities, and Perspectives"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.3328):

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

  1. Farias FACD, Dagostini CM, Bicca YDA, Falavigna VF, Falavigna A. Remote Patient Monitoring: A Systematic Review. Telemedicine and e-Health 2020;26(5):576
    CrossRef
  2. Molina MD, Sundar SS. Can Mobile Apps Motivate Fitness Tracking? A Study of Technological Affordances and Workout Behaviors. Health Communication 2020;35(1):65
    CrossRef
  3. Shemesh T, Barnoy S. Assessment of the Intention to Use Mobile Health Applications Using a Technology Acceptance Model in an Israeli Adult Population. Telemedicine and e-Health 2020;
    CrossRef
  4. Doupis J, Festas G, Tsilivigos C, Efthymiou V, Kokkinos A. Smartphone-Based Technology in Diabetes Management. Diabetes Therapy 2020;11(3):607
    CrossRef
  5. Bally ELS, Cesuroglu T. Toward Integration of mHealth in Primary Care in the Netherlands: A Qualitative Analysis of Stakeholder Perspectives. Frontiers in Public Health 2020;7
    CrossRef
  6. Bardus M, Awada N, Ghandour LA, Fares E, Gherbal T, Al-Zanati T, Stoyanov SR. The Arabic Version of the Mobile App Rating Scale: Development and Validation Study. JMIR mHealth and uHealth 2020;8(3):e16956
    CrossRef
  7. Bernabe-Ortiz A, Pauschardt J, Diez-Canseco F, Miranda JJ. Sustainability of mHealth Effects on Cardiometabolic Risk Factors: Five-Year Results of a Randomized Clinical Trial. Journal of Medical Internet Research 2020;22(4):e14595
    CrossRef
  8. Surdam J, Daly B, Fulton S, Margevicius S, Schluchter M, Flocke S, Manne S, Meropol NJ. Recruitment Strategies for Nurse Enrollment in an Online Study. Nursing Research 2020;69(1):69
    CrossRef
  9. Fiordelli M, Zanini C, Amann J, Scheel-Sailer A, Brach M, Stucki G, Rubinelli S. Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study. JMIR mHealth and uHealth 2020;8(5):e15818
    CrossRef
  10. Lecomte T, Potvin S, Corbière M, Guay S, Samson C, Cloutier B, Francoeur A, Pennou A, Khazaal Y. Mobile Apps for Mental Health Issues: Meta-Review of Meta-Analyses. JMIR mHealth and uHealth 2020;8(5):e17458
    CrossRef
  11. Chudner I, Drach-Zahavy A, Goldblatt H, Goldfracht M, Karkabi K. Power Gaps Among Stakeholders in Israel's Primary Care and the Role of Primary Care Physicians' Relative Power in Their Intention to Use Video-Consultations with Patients. Telemedicine and e-Health 2020;26(2):190
    CrossRef
  12. Su J, Dugas M, Guo X, Gao G. The Influence of Personality on mHealth Adoption Preference and Active Utilization Among Patients with Diabetes: A Prospective Pilot Study (Preprint). JMIR mHealth and uHealth 2020;
    CrossRef
  13. Kim K, Lee C, Hornik RC. Exploring the Effect of Health App Use on Fruit and Vegetable Consumption. Journal of Health Communication 2020;:1
    CrossRef
  14. Holdener M, Gut A, Angerer A. Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study. JMIR mHealth and uHealth 2020;8(1):e13244
    CrossRef
  15. del Río-Lanza A, Suárez-Vázquez A, Suárez-Álvarez L, Iglesias-Argüelles V. Mobile health (mhealth): facilitators and barriers of the intention of use in patients with chronic illnesses. Journal of Communication in Healthcare 2020;:1
    CrossRef
  16. Huilgol YS, Miron-Shatz T, Joshi AU, Hollander JE. Hospital Telehealth Adoption Increased in 2014 and 2015 and Was Influenced by Population, Hospital, and Policy Characteristics. Telemedicine and e-Health 2020;26(4):455
    CrossRef
  17. Molina MD, Myrick JG. The ‘how’ and ‘why’ of fitness app use: investigating user motivations to gain insights into the nexus of technology and fitness. Sport in Society 2020;:1
    CrossRef
  18. 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
  19. Cheng H, Tutt A, Llewellyn C, Size D, Jones J, Taki S, Rossiter C, Denney-Wilson E. Content and Quality of Infant Feeding Smartphone Apps: Five-Year Update on a Systematic Search and Evaluation. JMIR mHealth and uHealth 2020;8(5):e17300
    CrossRef
  20. Scharff FB, Lau ME, Riisager LHG, Møller SB, Salimi ML, Gondan M, Folke S. The PTSD help app in a Danish PTSD population: research protocol of a randomized controlled feasibility trial. Pilot and Feasibility Studies 2020;6(1)
    CrossRef
  21. Stephenson A, Garcia-Constantino M, McDonough SM, Murphy MH, Nugent CD, Mair JL. Iterative four-phase development of a theory-based digital behaviour change intervention to reduce occupational sedentary behaviour. DIGITAL HEALTH 2020;6:205520762091341
    CrossRef
  22. Ziegeldorf A, Wagner P, Wulff H. Effects of media-assisted therapeutic approaches on physical activity of obese adults: a systematic review. BMC Endocrine Disorders 2020;20(1)
    CrossRef
  23. Lewis RA, Lunney M, Chong C, Tonelli M. Identifying Mobile Applications Aimed at Self-Management in People With Chronic Kidney Disease. Canadian Journal of Kidney Health and Disease 2019;6:205435811983428
    CrossRef
  24. Ji X, Wang Y, Ma Y, Hu Z, Man S, Zhang Y, Li K, Yang J, Zhu J, Zhang J, Huang F. Improvement of Disease Management and Cost Effectiveness in Chinese Patients with Ankylosing Spondylitis Using a Smart-Phone Management System: A Prospective Cohort Study. BioMed Research International 2019;2019:1
    CrossRef
  25. Thornham H. Algorithmic vulnerabilities and the datalogical: Early motherhood and tracking-as-care regimes. Convergence: The International Journal of Research into New Media Technologies 2019;25(2):171
    CrossRef
  26. White B, Giglia RC, White JA, Dhaliwal S, Burns SK, Scott JA. Gamifying Breastfeeding for Fathers: Process Evaluation of the Milk Man Mobile App. JMIR Pediatrics and Parenting 2019;2(1):e12157
    CrossRef
  27. Kanthawala S, Joo E, Kononova A, Peng W, Cotten S. Folk theorizing the quality and credibility of health apps. Mobile Media & Communication 2019;7(2):175
    CrossRef
  28. Devan H, Farmery D, Peebles L, Grainger R. Evaluation of Self-Management Support Functions in Apps for People With Persistent Pain: Systematic Review. JMIR mHealth and uHealth 2019;7(2):e13080
    CrossRef
  29. Vo V, Auroy L, Sarradon-Eck A. Patients’ Perceptions of mHealth Apps: Meta-Ethnographic Review of Qualitative Studies. JMIR mHealth and uHealth 2019;7(7):e13817
    CrossRef
  30. Dale LP, White L, Mitchell M, Faulkner G. Smartphone app uses loyalty point incentives and push notifications to encourage influenza vaccine uptake. Vaccine 2019;37(32):4594
    CrossRef
  31. Kaehne A. Big Data and what it means for evaluating integrated care programmes. Journal of Integrated Care 2019;27(3):249
    CrossRef
  32. Chen AT, Wu S, Tomasino KN, Lattie EG, Mohr DC. A multi-faceted approach to characterizing user behavior and experience in a digital mental health intervention. Journal of Biomedical Informatics 2019;94:103187
    CrossRef
  33. Miah SJ, Hasan N, Gammack J. Follow-Up Decision Support Tool for Public Healthcare: A Design Research Perspective. Healthcare Informatics Research 2019;25(4):313
    CrossRef
  34. Schmietow B, Marckmann G. Mobile health ethics and the expanding role of autonomy. Medicine, Health Care and Philosophy 2019;22(4):623
    CrossRef
  35. Saripalle R, Runyan C, Russell M. Using HL7 FHIR to achieve interoperability in patient health record. Journal of Biomedical Informatics 2019;94:103188
    CrossRef
  36. REY-MARTÍNEZ J, ESPINOSA-SÁNCHEZ JM. Diseño y desarrollo de una aplicación para dispositivos móviles para el seguimiento y control de la enfermedad de Ménière. Revista ORL 2019;10(1):11
    CrossRef
  37. Kwan YH, Ong WJ, Xiong M, Leung YY, Phang JK, Wang CTM, Fong W. Evaluation of Mobile Apps Targeted at Patients With Spondyloarthritis for Disease Monitoring: Systematic App Search. JMIR mHealth and uHealth 2019;7(10):e14753
    CrossRef
  38. Rossmann C, Riesmeyer C, Brew-Sam N, Karnowski V, Joeckel S, Chib A, Ling R. Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies. JMIR Diabetes 2019;4(1):e10271
    CrossRef
  39. Dufour S, Fedorkow D, Kun J, Deng SX, Fang Q. Exploring the Impact of a Mobile Health Solution for Postpartum Pelvic Floor Muscle Training: Pilot Randomized Controlled Feasibility Study. JMIR mHealth and uHealth 2019;7(7):e12587
    CrossRef
  40. Holzmann SL, Holzapfel C. A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults. Journal of Personalized Medicine 2019;9(2):31
    CrossRef
  41. Willcox JC, Dobson R, Whittaker R. Old-Fashioned Technology in the Era of “Bling”: Is There a Future for Text Messaging in Health Care?. Journal of Medical Internet Research 2019;21(12):e16630
    CrossRef
  42. Fiske A, Prainsack B, Buyx A. Data Work: Meaning-Making in the Era of Data-Rich Medicine. Journal of Medical Internet Research 2019;21(7):e11672
    CrossRef
  43. Codella J, Partovian C, Chang H, Chen C. Data quality challenges for person-generated health and wellness data. IBM Journal of Research and Development 2018;62(1):3:1
    CrossRef
  44. Tutelman PR, Chambers CT, Stinson JN, Parker JA, Barwick M, Witteman HO, Jibb L, Stinson HC, Fernandez CV, Nathan PC, Campbell F, Irwin K. The Implementation Effectiveness of a Freely Available Pediatric Cancer Pain Assessment App: A Pilot Implementation Study. JMIR Cancer 2018;4(2):e10280
    CrossRef
  45. Song M, Kanaoka H. Effectiveness of mobile application for menstrual management of working women in Japan: randomized controlled trial and medical economic evaluation. Journal of Medical Economics 2018;21(11):1131
    CrossRef
  46. Rasche P, Wille M, Bröhl C, Theis S, Schäfer K, Knobe M, Mertens A. Prevalence of Health App Use Among Older Adults in Germany: National Survey. JMIR mHealth and uHealth 2018;6(1):e26
    CrossRef
  47. Similä H, Immonen M, Toska-Tervola J, Enwald H, Keränen N, Kangas M, Jämsä T, Korpelainen R. Feasibility of mobile mental wellness training for older adults. Geriatric Nursing 2018;39(5):499
    CrossRef
  48. Sezgin E, Özkan-Yildirim S, Yildirim S. Understanding the perception towards using mHealth applications in practice. Information Development 2018;34(2):182
    CrossRef
  49. Laird EA, Ryan A, McCauley C, Bond RB, Mulvenna MD, Curran KJ, Bunting B, Ferry F, Gibson A. Using Mobile Technology to Provide Personalized Reminiscence for People Living With Dementia and Their Carers: Appraisal of Outcomes From a Quasi-Experimental Study. JMIR Mental Health 2018;5(3):e57
    CrossRef
  50. Gutfraind A, Peterson JK, Billig Rose E, Arevalo-Nieto C, Sheen J, Condori-Luna GF, Tankasala N, Castillo-Neyra R, Condori-Pino C, Anand P, Naquira-Velarde C, Levy MZ, Basáñez M. Integrating evidence, models and maps to enhance Chagas disease vector surveillance. PLOS Neglected Tropical Diseases 2018;12(11):e0006883
    CrossRef
  51. Pedersen PE, Nysveen H. A Brief Systematic Review of Mobile App Markets Research: User, Developer and Platform Perspectives. SSRN Electronic Journal 2018;
    CrossRef
  52. Chu H, Liu Y, Kuo F. A Mobile Sleep-Management Learning System for Improving Students’ Sleeping Habits by Integrating a Self-Regulated Learning Strategy: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(10):e11557
    CrossRef
  53. da Costa CA, Pasluosta CF, Eskofier B, da Silva DB, da Rosa Righi R. Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards. Artificial Intelligence in Medicine 2018;89:61
    CrossRef
  54. Chae J. A Comprehensive Profile of Those Who Have Health-Related Apps. Health Education & Behavior 2018;45(4):591
    CrossRef
  55. Gartland KM, Gartland JS. Opportunities in biotechnology. Journal of Biotechnology 2018;282:38
    CrossRef
  56. Aamir J, Ali SM, Kamel Boulos MN, Anjum N, Ishaq M. Enablers and inhibitors: A review of the situation regarding mHealth adoption in low- and middle-income countries. Health Policy and Technology 2018;7(1):88
    CrossRef
  57. Dallinga J, Janssen M, van der Werf J, Walravens R, Vos S, Deutekom M. Analysis of the Features Important for the Effectiveness of Physical Activity–Related Apps for Recreational Sports: Expert Panel Approach. JMIR mHealth and uHealth 2018;6(6):e143
    CrossRef
  58. Ravn Jakobsen P, Hermann A, Søndergaard J, Wiil U, Clemensen J. Development of an mHealth Application for Women Newly Diagnosed with Osteoporosis without Preceding Fractures: A Participatory Design Approach. International Journal of Environmental Research and Public Health 2018;15(2):330
    CrossRef
  59. Rasche P, Mertens A, Miron-Shatz T, Berzon C, Schlick CM, Jahn M, Becker S, Fürnsinn C. Seamless recording of glucometer measurements among older experienced diabetic patients – A study of perception and usability. PLOS ONE 2018;13(5):e0197455
    CrossRef
  60. 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
  61. Loiselle CG, Ahmed S. Is Connected Health Contributing to a Healthier Population?. Journal of Medical Internet Research 2017;19(11):e386
    CrossRef
  62. Dobson R, Whittaker R, Pfaeffli Dale L, Maddison R. The effectiveness of text message-based self-management interventions for poorly-controlled diabetes: A systematic review. DIGITAL HEALTH 2017;3:205520761774031
    CrossRef
  63. Hassandra M, Lintunen T, Hagger MS, Heikkinen R, Vanhala M, Kettunen T. An mHealth App for Supporting Quitters to Manage Cigarette Cravings With Short Bouts of Physical Activity: A Randomized Pilot Feasibility and Acceptability Study. JMIR mHealth and uHealth 2017;5(5):e74
    CrossRef
  64. Lanssens D, Vandenberk T, Thijs IM, Grieten L, Gyselaers W. Effectiveness of Telemonitoring in Obstetrics: Scoping Review. Journal of Medical Internet Research 2017;19(9):e327
    CrossRef
  65. Serrano KJ, Coa KI, Yu M, Wolff-Hughes DL, Atienza AA. Characterizing user engagement with health app data: a data mining approach. Translational Behavioral Medicine 2017;7(2):277
    CrossRef
  66. Skrepnik N, Spitzer A, Altman R, Hoekstra J, Stewart J, Toselli R. Assessing the Impact of a Novel Smartphone Application Compared With Standard Follow-Up on Mobility of Patients With Knee Osteoarthritis Following Treatment With Hylan G-F 20: A Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(5):e64
    CrossRef
  67. Albrecht U, Afshar K, Illiger K, Becker S, Hartz T, Breil B, Wichelhaus D, von Jan U. Expectancy, usage and acceptance by general practitioners and patients: exploratory results from a study in the German outpatient sector. DIGITAL HEALTH 2017;3:205520761769513
    CrossRef
  68. Yan BP, Chan CK, Li CK, To OT, Lai WH, Tse G, Poh YC, Poh M. Resting and Postexercise Heart Rate Detection From Fingertip and Facial Photoplethysmography Using a Smartphone Camera: A Validation Study. JMIR mHealth and uHealth 2017;5(3):e33
    CrossRef
  69. Sucala M, Cuijpers P, Muench F, Cardoș R, Soflau R, Dobrean A, Achimas-Cadariu P, David D. Anxiety: There is an app for that. A systematic review of anxiety apps. Depression and Anxiety 2017;34(6):518
    CrossRef
  70. Sezgin E, Özkan-Yildirim S, Yildirim S. Investigation of physicians' awareness and use of mHealth apps: A mixed method study. Health Policy and Technology 2017;6(3):251
    CrossRef
  71. Van Ameringen M, Turna J, Khalesi Z, Pullia K, Patterson B. There is an app for that! The current state of mobile applications (apps) for DSM-5 obsessive-compulsive disorder, posttraumatic stress disorder, anxiety and mood disorders. Depression and Anxiety 2017;34(6):526
    CrossRef
  72. 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
  73. del Río-Lanza A, Suárez-Vázquez A, Suárez-Álvarez L, Iglesias-Argüelles V. Mobile health services in haemophilia: opportunities and risks. Haemophilia 2017;23(4):e378
    CrossRef
  74. Govorko MH, Fritschi L, White J, Reid A. Identifying Asbestos-Containing Materials in Homes: Design and Development of the ACM Check Mobile Phone App. JMIR Formative Research 2017;1(1):e7
    CrossRef
  75. Jusob FR, George C, Mapp G. Exploring the need for a suitable privacy framework for mHealth when managing chronic diseases. Journal of Reliable Intelligent Environments 2017;3(4):243
    CrossRef
  76. DiFilippo KN, Huang W, Chapman-Novakofski KM. A New Tool for Nutrition App Quality Evaluation (AQEL): Development, Validation, and Reliability Testing. JMIR mHealth and uHealth 2017;5(10):e163
    CrossRef
  77. Ernsting C, Dombrowski SU, Oedekoven M, O´Sullivan JL, Kanzler M, Kuhlmey A, Gellert P. Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey. Journal of Medical Internet Research 2017;19(4):e101
    CrossRef
  78. 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
  79. Zens M, Woias P, Suedkamp NP, Niemeyer P. “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework. JMIR mHealth and uHealth 2017;5(2):e23
    CrossRef
  80. Grainger R, Townsley H, White B, Langlotz T, Taylor WJ. Apps for People With Rheumatoid Arthritis to Monitor Their Disease Activity: A Review of Apps for Best Practice and Quality. JMIR mHealth and uHealth 2017;5(2):e7
    CrossRef
  81. Choo S, Kim JY, Jung SY, Kim S, Kim JE, Han JS, Kim S, Kim JH, Kim J, Kim Y, Kim D, Steinhubl S. Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship. JMIR mHealth and uHealth 2016;4(1):e24
    CrossRef
  82. White BK, Martin A, White JA, Burns SK, Maycock BR, Giglia RC, Scott JA. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81
    CrossRef
  83. Mertens A, Brandl C, Miron-Shatz T, Schlick C, Neumann T, Kribben A, Meister S, Diamantidis CJ, Albrecht U, Horn P, Becker S. A mobile application improves therapy-adherence rates in elderly patients undergoing rehabilitation. Medicine 2016;95(36):e4446
    CrossRef
  84. Molina Recio G, García-Hernández L, Molina Luque R, Salas-Morera L. The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review. BioMedical Engineering OnLine 2016;15(S1)
    CrossRef
  85. Woods SS, Evans NC, Frisbee KL. Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications. Journal of the American Medical Informatics Association 2016;23(3):491
    CrossRef
  86. White BK, Burns SK, Giglia RC, Scott JA. Designing evaluation plans for health promotion mHealth interventions: a case study of theMilk Manmobile app. Health Promotion Journal of Australia 2016;27(3):198
    CrossRef
  87. 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
  88. Zens M, Südkamp NP, Niemeyer P. „Back on Track“: Kreuzbandstudie via Smartphone. Arthroskopie 2016;29(4):225
    CrossRef
  89. Steele Gray C, Khan AI, Kuluski K, McKillop I, Sharpe S, Bierman AS, Lyons RF, Cott C. Improving Patient Experience and Primary Care Quality for Patients With Complex Chronic Disease Using the Electronic Patient-Reported Outcomes Tool: Adopting Qualitative Methods Into a User-Centered Design Approach. JMIR Research Protocols 2016;5(1):e28
    CrossRef
  90. White B, White J, Giglia R, Tawia S. Feed Safe: a multidisciplinary partnership approach results in a successful mobile application for breastfeeding mothers. Health Promotion Journal of Australia 2016;27(2):111
    CrossRef
  91. Krieger WH. When are medical apps medical? Off-label use and the Food and Drug Administration. DIGITAL HEALTH 2016;2:205520761666278
    CrossRef
  92. Steele Gray C, Gill A, Khan AI, Hans PK, Kuluski K, Cott C. The Electronic Patient Reported Outcome Tool: Testing Usability and Feasibility of a Mobile App and Portal to Support Care for Patients With Complex Chronic Disease and Disability in Primary Care Settings. JMIR mHealth and uHealth 2016;4(2):e58
    CrossRef
  93. Shukla SN, Sharma J. Potential of mHealth to Transform Healthcare in India. Journal of Health Management 2016;18(3):447
    CrossRef
  94. Peng W, Kanthawala S, Yuan S, Hussain SA. A qualitative study of user perceptions of mobile health apps. BMC Public Health 2016;16(1)
    CrossRef
  95. Johnson K, Richards S, Chih M, Moon TJ, Curtis H, Gustafson DH. A Pilot Test of a Mobile App for Drug Court Participants. Substance Abuse: Research and Treatment 2016;10:SART.S33390
    CrossRef
  96. Laws RA, Litterbach EV, Denney-Wilson EA, Russell CG, Taki S, Ong K, Elliott RM, Lymer SJ, Campbell KJ. A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program. Journal of Medical Internet Research 2016;18(9):e248
    CrossRef
  97. Whitehead L, Seaton P. The Effectiveness of Self-Management Mobile Phone and Tablet Apps in Long-term Condition Management: A Systematic Review. Journal of Medical Internet Research 2016;18(5):e97
    CrossRef
  98. Higgins JP. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11
    CrossRef
  99. Bardus M, Smith JR, Samaha L, Abraham C. Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review. Journal of Medical Internet Research 2015;17(11):e259
    CrossRef
  100. Censi F, Mattei E, Triventi M, Calcagnini G. Regulatory frameworks for mobile medical applications. Expert Review of Medical Devices 2015;12(3):273
    CrossRef
  101. Gay V, Leijdekkers P. Bringing Health and Fitness Data Together for Connected Health Care: Mobile Apps as Enablers of Interoperability. Journal of Medical Internet Research 2015;17(11):e260
    CrossRef
  102. Bauman M, Massicotte M, Kuhle S, Siddons S, Bruce A. EMPoWARed: Edmonton pediatric warfarin self-management study. Thrombosis Research 2015;136(5):887
    CrossRef
  103. Monney G, Penzenstadler L, Dupraz O, Etter J, Khazaal Y. mHealth App for Cannabis Users: Satisfaction and Perceived Usefulness. Frontiers in Psychiatry 2015;6
    CrossRef
  104. Subhi Y, Bube SH, Rolskov Bojsen S, Skou Thomsen AS, Konge L. Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review. JMIR mHealth and uHealth 2015;3(3):e79
    CrossRef
  105. Waller A, Forshaw K, Carey M, Robinson S, Kerridge R, Proietto A, Sanson-Fisher R. Optimizing Patient Preparation and Surgical Experience Using eHealth Technology. JMIR Medical Informatics 2015;3(3):e29
    CrossRef
  106. Lane TS, Armin J, Gordon JS. Online Recruitment Methods for Web-Based and Mobile Health Studies: A Review of the Literature. Journal of Medical Internet Research 2015;17(7):e183
    CrossRef
  107. Becker S, Brandl C, Meister S, Nagel E, Miron-Shatz T, Mitchell A, Kribben A, Albrecht U, Mertens A, Szecsi PB. Demographic and Health Related Data of Users of a Mobile Application to Support Drug Adherence is Associated with Usage Duration and Intensity. PLOS ONE 2015;10(1):e0116980
    CrossRef
  108. Garg SK, Lyles CR, Ackerman S, Handley MA, Schillinger D, Gourley G, Aulakh V, Sarkar U. Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems. BMC Medical Informatics and Decision Making 2015;16(1)
    CrossRef
  109. DeMonte CM, DeMonte WD, Thorn BE. Future implications of eHealth interventions for chronic pain management in underserved populations. Pain Management 2015;5(3):207
    CrossRef
  110. Stellefson M, Alber JM, Wang MQ, Eddy JM, Chaney BH, Chaney JD. Use of Health Information and Communication Technologies to Promote Health and Manage Behavioral Risk Factors Associated With Chronic Disease: Applications in the Field of Health Education. American Journal of Health Education 2015;46(4):185
    CrossRef
  111. 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
  112. Larrosa F, Rama-Lopez J, Benitez J, Morales JM, Martinez A, Alañon MA, Arancibia-Tagle D, Batuecas-Caletrio A, Martinez-Lopez M, Perez-Fernandez N, Gimeno C, Ispizua A, Urrutikoetxea A, Rey-Martinez J. Development and evaluation of an audiology app for iPhone/iPad mobile devices. Acta Oto-Laryngologica 2015;135(11):1119
    CrossRef
  113. Heckman BW, Mathew AR, Carpenter MJ. Treatment burden and treatment fatigue as barriers to health. Current Opinion in Psychology 2015;5:31
    CrossRef
  114. Backonja U, Hall AK, Thielke S. Older Adults’ Current and Potential Uses of Information Technologies in a Changing World. The International Journal of Aging and Human Development 2014;80(1):41
    CrossRef
  115. Giota KG, Kleftaras G. Mental Health Apps: Innovations, Risks and Ethical Considerations. E-Health Telecommunication Systems and Networks 2014;03(03):19
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.3328)

:
  1. Baggott C, Jibb L, Parker R, Stinson J, Linder L. Pediatric Oncology Nursing. 2020. Chapter 8:131
    CrossRef
  2. Morgan SE, Occa A, Peng W, McFarlane SJ. The Handbook of Applied Communication Research. 2020. :897
    CrossRef
  3. Saad A. Complex, Intelligent, and Software Intensive Systems. 2020. Chapter 50:569
    CrossRef
  4. El‐Toukhy S, Nahum‐Shani I. Wiley StatsRef: Statistics Reference Online. 2020. :1
    CrossRef
  5. Nizamuddin I, Basra R, Vanam S, Pirani N. Optimizing Medical Education With Instructional Technology. 2019. chapter 9:156
    CrossRef
  6. Meedya S, Sheikh MK, Win KT, Halcomb E. Persuasive Technology: Development of Persuasive and Behavior Change Support Systems. 2019. Chapter 16:189
    CrossRef
  7. Kim JA, Kim D. Computational Science and Its Applications – ICCSA 2019. 2019. Chapter 8:90
    CrossRef
  8. Martínez-Borba V, Suso-Ribera C, Osma J. Pervasive Computing Paradigms for Mental Health. 2019. Chapter 14:176
    CrossRef
  9. Bregenzer A, Jiménez P. Handbuch Digitale Wirtschaft. 2019. Chapter 30-1:1
    CrossRef
  10. Eren PE, Gökalp E. Current and Emerging mHealth Technologies. 2018. Chapter 11:167
    CrossRef
  11. Sezgin E, Yildirim S, Yildirim S. Current and Emerging mHealth Technologies. 2018. Chapter 10:153
    CrossRef
  12. Gabel A, Schiering I, Müller SV, Ertas F. Privacy and Identity Management. The Smart Revolution. 2018. Chapter 22:330
    CrossRef
  13. Doğanyiğit S. Current and Emerging mHealth Technologies. 2018. Chapter 4:37
    CrossRef
  14. Bonnin J, Gay V, Weis F. Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living. 2018. Chapter 12:134
    CrossRef
  15. Haak D, Deserno V, Deserno T. Medizintechnik. 2017. Chapter 48:893
    CrossRef
  16. Mertens A, Becker S, Theis S, Rasche P, Wille M, Bröhl C, Finken L, Schlick C. Advances in Human Factors and Ergonomics in Healthcare. 2017. Chapter 28:295
    CrossRef
  17. Haak D, Deserno V, Deserno T. Informationsmanagement und Kommunikation in der Medizin. 2017. Chapter 48:145
    CrossRef
  18. Salido J, Deniz O, Bueno G. Bioinformatics and Biomedical Engineering. 2016. Chapter 42:467
    CrossRef
  19. Big Data and Ethics. 2016. :267
    CrossRef
  20. Molina-Recio G, García-Hernández L, Castilla-Melero A, Palomo-Romero JM, Molina-Luque R, Sánchez-Muñoz AA, Arauzo-Azofra A, Salas-Morera L. Bioinformatics and Biomedical Engineering. 2015. Chapter 3:24
    CrossRef
  21. Haak D, Deserno V, (geb.Lehmann) TD. Medizintechnik. 2015. Chapter 48-1:1
    CrossRef
  22. Mertens A, Rasche P, Theis S, Wille M, Schlick C, Becker S. Human Aspects of IT for the Aged Population. Design for Everyday Life. 2015. Chapter 12:123
    CrossRef