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 18.12.17 in Vol 5, No 12 (2017): December

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

Works citing "Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.8758):

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

  1. Fischer T, Stumpf P, Reinhardt G, Schwarz PEH, Timpel P. Video-based smartphone app (‘VIDEA bewegt’) for physical activity support in German adults: a study protocol for a single-armed observational study. BMJ Open 2020;10(3):e034027
    CrossRef
  2. Sancho-Garcia S, Sanz-de Diego S, Medina-Porqueres I. Apps to prescribe therapeutic exercise among rehabilitating adults: a systematic review. The Journal of Sports Medicine and Physical Fitness 2020;60(3)
    CrossRef
  3. , , , , . m-Health, Smartphones, and Apps for Behavioral Health: Human Factors for All Users. Journal of Technology in Behavioral Science 2019;4(2):124
    CrossRef
  4. Tassone C, Keshavjee K, Paglialonga A, Moreira N, Pinto J, Quintana Y. Evaluation of mobile apps for treatment of patients at risk of developing gestational diabetes. Health Informatics Journal 2020;26(3):1983
    CrossRef
  5. Verdaguer S, Mateo KF, Wyka K, Dennis-Tiwary TA, Leung MM. A Web-Based Interactive Tool to Reduce Childhood Obesity Risk in Urban Minority Youth: Usability Testing Study. JMIR Formative Research 2018;2(2):e21
    CrossRef
  6. Daly LM, Boyle FM, Gibbons K, Le H, Roberts J, Flenady V. Mobile applications providing guidance about decreased fetal movement: Review and content analysis. Women and Birth 2019;32(3):e289
    CrossRef
  7. Farias N, Rose-Davis B, Hong P, Wozney L. An Automated Text Messaging System (Tonsil-Text-To-Me) to Improve Tonsillectomy Perioperative Experience: Exploratory Qualitative Usability and Feasibility Study. JMIR Perioperative Medicine 2020;3(1):e14601
    CrossRef
  8. Larbi D, Randine P, Årsand E, Antypas K, Bradway M, Gabarron E. Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review. Journal of Medical Internet Research 2020;22(7):e18480
    CrossRef
  9. Paglialonga A, Lugo A, Santoro E. An overview on the emerging area of identification, characterization, and assessment of health apps. Journal of Biomedical Informatics 2018;83:97
    CrossRef
  10. Kapoor A, Nambisan P, Baker E. Mobile applications for breast cancer survivorship and self-management: A systematic review. Health Informatics Journal 2020;:146045822095085
    CrossRef
  11. Hanghøj S, Boisen KA, Hjerming M, Elsbernd A, Pappot H. Usability of a Mobile Phone App Aimed at Adolescents and Young Adults During and After Cancer Treatment: Qualitative Study. JMIR Cancer 2020;6(1):e15008
    CrossRef
  12. Arigo D, Jake-Schoffman DE, Wolin K, Beckjord E, Hekler EB, Pagoto SL. The history and future of digital health in the field of behavioral medicine. Journal of Behavioral Medicine 2019;42(1):67
    CrossRef
  13. Malik RD, Kowalik CG. Patient Education for Overactive Bladder in the Digital Era. Current Bladder Dysfunction Reports 2019;14(3):186
    CrossRef
  14. Luna-Perejon F, Malwade S, Styliadis C, Civit J, Cascado-Caballero D, Konstantinidis E, Abdul SS, Bamidis PD, Civit A, Li Y. Evaluation of user satisfaction and usability of a mobile app for smoking cessation. Computer Methods and Programs in Biomedicine 2019;182:105042
    CrossRef
  15. Mwaisaka J, Gonsalves L, Thiongo M, Waithaka M, Sidha H, Otieno A, Mukiira C, Gichangi P. Young people’s experiences using an on-demand mHealth sexual and reproductive health text message intervention in Kenya: A qualitative study (Preprint). JMIR mHealth and uHealth 2020;
    CrossRef
  16. Nebeker C, Bartlett Ellis RJ, Torous J. Development of a decision-making checklist tool to support technology selection in digital health research. Translational Behavioral Medicine 2019;
    CrossRef
  17. Nuamah J, Mehta R, Sasangohar F. Technologies for Opioid Use Disorder Management: Mobile App Search and Scoping Review. JMIR mHealth and uHealth 2020;8(6):e15752
    CrossRef
  18. Qu C, Sas C, Daudén Roquet C, Doherty G. Functionality of Top-Rated Mobile Apps for Depression: Systematic Search and Evaluation. JMIR Mental Health 2020;7(1):e15321
    CrossRef
  19. Morris J, Jones M, DeRuyter F, Putrino D, Lang CE, Jake-Schoffman D. LiveWell RERC State of the Science Conference Report on ICT Access to Support Community Living, Health and Function for People with Disabilities. International Journal of Environmental Research and Public Health 2019;17(1):274
    CrossRef
  20. Koumpouros Y, Kafazis T. Wearables and mobile technologies in Autism Spectrum Disorder interventions: A systematic literature review. Research in Autism Spectrum Disorders 2019;66:101405
    CrossRef
  21. Scott IA, Scuffham P, Gupta D, Harch TM, 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
    CrossRef
  22. 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
  23. Stec MA, Arbour MW, Hines HF. Client‐Centered Mobile Health Care Applications: Using the Mobile Application Rating Scale Instrument for Evidence‐Based Evaluation. Journal of Midwifery & Women's Health 2019;64(3):324
    CrossRef
  24. Pinheiro M, Serra M, Pereira-Azevedo N. Predictors of the Number of Installs in Psychiatry Smartphone Apps: Systematic Search on App Stores and Content Analysis. JMIR Mental Health 2019;6(11):e15064
    CrossRef
  25. Fuller-Tyszkiewicz M, Richardson B, Klein B, Skouteris H, Christensen H, Austin D, Castle D, Mihalopoulos C, O'Donnell R, Arulkadacham L, Shatte A, Ware A. A Mobile App–Based Intervention for Depression: End-User and Expert Usability Testing Study. JMIR Mental Health 2018;5(3):e54
    CrossRef
  26. Downes E, Horigan A, Teixeira P. The transformation of health care for patients. Journal of the American Association of Nurse Practitioners 2019;31(3):156
    CrossRef
  27. Ondersma SJ, Walters ST. Clinician's Guide to Evaluating and Developing eHealth Interventions for Mental Health. Psychiatric Research and Clinical Practice 2020;2(1):26
    CrossRef
  28. Harada N, Harada S, Ito J, Atsuta R, Hori S, Takahashi K. Mobile Health App for Japanese Adult Patients With Asthma: Clinical Observational Study. Journal of Medical Internet Research 2020;22(8):e19006
    CrossRef
  29. , , , , . Evaluation of Behavior Change Techniques in Mobile Health Apps. AACN Advanced Critical Care 2020;31(2):126
    CrossRef
  30. Pryss R, Schlee W, Hoppenstedt B, Reichert M, Spiliopoulou M, Langguth B, Breitmayer M, Probst T. Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(6):e15547
    CrossRef
  31. 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
    CrossRef
  32. Flórez MT, Almodóvar R, García Pérez F, Rodríguez Cambrón AB, Carmona L, Pérez Manzanero M, Aboitiz Cantalapiedra J, Urruticoechea-Arana A, Rodríguez Lozano CJ, Castro C, Fernández-Carballido C, de Miguel E, Galíndez E, Álvarez Vega JL, Torre Alonso JC, Linares LF, Moreno M, Navarro-Compán V, Juanola X, Zarco P. The EJES-3D tool for personalized prescription of exercise in axial spondyloarthritis through multimedia animations: pilot study. Rheumatology International 2018;38(7):1277
    CrossRef
  33. Martin Payo R, Fernandez Álvarez M, Blanco Díaz M, Cuesta Izquierdo M, Stoyanov S, Llaneza Suárez E. Spanish adaptation and validation of the Mobile Application Rating Scale questionnaire. International Journal of Medical Informatics 2019;129:95
    CrossRef
  34. Wheaton N, Lenehan J, Amir LH. Evaluation of a Breastfeeding App in Rural Australia: Prospective Cohort Study. Journal of Human Lactation 2018;:089033441879418
    CrossRef
  35. Gous N, Fischer AE, Rhagnath N, Phatsoane M, Majam M, Lalla-Edward ST. Evaluation of a mobile application to support HIV self-testing in Johannesburg, South Africa. Southern African Journal of HIV Medicine 2020;21(1)
    CrossRef
  36. Baskerville NB, Struik LL, Guindon GE, Norman CD, Whittaker R, Burns C, Hammond D, Dash D, Brown KS. Effect of a Mobile Phone Intervention on Quitting Smoking in a Young Adult Population of Smokers: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(10):e10893
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.8758):

  1. Cerrato P, Halamka J. The Transformative Power of Mobile Medicine. 2019. :41
    CrossRef
  2. . Design and Quality Considerations for Developing Mobile Apps for Medication Management. 2021. chapter 3:51
    CrossRef
  3. Wu AC, Tse SM, Balli F. Precision in Pulmonary, Critical Care, and Sleep Medicine. 2020. Chapter 19:291
    CrossRef
  4. Idris A, Heupel W. Digitale Transformation von Dienstleistungen im Gesundheitswesen VII. 2020. Chapter 16:277
    CrossRef