Published on in Vol 5, No 12 (2017): December

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

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

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

Journals

  1. 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
  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) View
  3. Krupinski E. m-Health, Smartphones, and Apps for Behavioral Health: Human Factors for All Users. Journal of Technology in Behavioral Science 2019;4(2):124 View
  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 View
  5. Verdaguer S, Mateo K, Wyka K, Dennis-Tiwary T, Leung M. A Web-Based Interactive Tool to Reduce Childhood Obesity Risk in Urban Minority Youth: Usability Testing Study. JMIR Formative Research 2018;2(2):e21 View
  6. Daly L, Boyle F, 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 View
  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 View
  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 View
  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 View
  10. Kapoor A, Nambisan P, Baker E. Mobile applications for breast cancer survivorship and self-management: A systematic review. Health Informatics Journal 2020;26(4):2892 View
  11. Hanghøj S, Boisen K, 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 View
  12. 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
  13. Malik R, Kowalik C. Patient Education for Overactive Bladder in the Digital Era. Current Bladder Dysfunction Reports 2019;14(3):186 View
  14. Luna-Perejon F, Malwade S, Styliadis C, Civit J, Cascado-Caballero D, Konstantinidis E, Abdul S, Bamidis P, 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 View
  15. Mwaisaka J, Gonsalves L, Thiongo M, Waithaka M, Sidha H, Alfred O, Mukiira C, Gichangi P. Young People’s Experiences Using an On-Demand Mobile Health Sexual and Reproductive Health Text Message Intervention in Kenya: Qualitative Study. JMIR mHealth and uHealth 2021;9(1):e19109 View
  16. Nebeker C, Bartlett Ellis R, Torous J. Development of a decision-making checklist tool to support technology selection in digital health research. Translational Behavioral Medicine 2020;10(4):1004 View
  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 View
  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 View
  19. Morris J, Jones M, DeRuyter F, Putrino D, Lang C, 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 View
  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 View
  21. 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
  22. Lewis R, 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 View
  23. Stec M, Arbour M, Hines H. 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 View
  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 View
  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 View
  26. Downes E, Horigan A, Teixeira P. The transformation of health care for patients: Information and communication technology, digiceuticals, and digitally enabled care. Journal of the American Association of Nurse Practitioners 2019;31(3):156 View
  27. Ondersma S, Walters S. Clinician's Guide to Evaluating and Developing eHealth Interventions for Mental Health. Psychiatric Research and Clinical Practice 2020;2(1):26 View
  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 View
  29. Harrington L. Evaluation of Behavior Change Techniques in Mobile Health Apps. AACN Advanced Critical Care 2020;31(2):126 View
  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 View
  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 View
  32. Flórez M, Almodóvar R, García Pérez F, Rodríguez Cambrón A, Carmona L, Pérez Manzanero M, Aboitiz Cantalapiedra J, Urruticoechea-Arana A, Rodríguez Lozano C, Castro C, Fernández-Carballido C, de Miguel E, Galíndez E, Álvarez Vega J, Torre Alonso J, Linares L, 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 View
  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 View
  34. Wheaton N, Lenehan J, Amir L. Evaluation of a Breastfeeding App in Rural Australia: Prospective Cohort Study. Journal of Human Lactation 2018:089033441879418 View
  35. Gous N, Fischer A, Rhagnath N, Phatsoane M, Majam M, Lalla-Edward S. Evaluation of a mobile application to support HIV self-testing in Johannesburg, South Africa. Southern African Journal of HIV Medicine 2020;21(1) View
  36. Baskerville N, Struik L, Guindon G, Norman C, Whittaker R, Burns C, Hammond D, Dash D, Brown K. 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 View
  37. Real F, Rosen B, Bishop J, McDonald S, DeBlasio D, Kreps G, Klein M, Kahn J. Usability Evaluation of the Novel Smartphone Application, HPV Vaccine: Same Way, Same Day, Among Pediatric Residents. Academic Pediatrics 2021;21(4):742 View
  38. Psihogios A, Stiles-Shields C, Neary M. The Needle in the Haystack: Identifying Credible Mobile Health Apps for Pediatric Populations during a Pandemic and beyond. Journal of Pediatric Psychology 2020;45(10):1106 View
  39. Radcliffe E, Lippincott B, Anderson R, Jones M. A Pilot Evaluation of mHealth App Accessibility for Three Top-Rated Weight Management Apps by People with Disabilities. International Journal of Environmental Research and Public Health 2021;18(7):3669 View
  40. Chirambo G, Muula A, Thompson M, Hardy V, Heavin C, Connor Y, Mastellos N, Andersson B, Donoghue J. End-user perspectives of two mHealth decision support tools: Electronic Community Case Management in Northern Malawi. International Journal of Medical Informatics 2021;145:104323 View
  41. Shilbayeh S, Ismail S, Qian M. Patient experience with an educational mobile health application: A pilot study on usability and feasibility in a Saudi population. Cogent Psychology 2020;7(1):1843883 View
  42. Real F, Meisman A, Rosen B. Usability matters for virtual reality simulations teaching communication. Medical Education 2020;54(11):1067 View
  43. Maharaj A, Lim D, Murphy R, Serlachius A. Comparing Two Commercially Available Diabetes Apps to Explore Challenges in User Engagement: Randomized Controlled Feasibility Study. JMIR Formative Research 2021;5(6):e25151 View
  44. Herbst R, Rybak T, Meisman A, Whitehead M, Rosen B, Crosby L, Klein M, Real F. A Virtual Reality Resident Training Curriculum on Behavioral Health Anticipatory Guidance: Development and Usability Study. JMIR Pediatrics and Parenting 2021;4(2):e29518 View
  45. Linardon J, King T, Shatte A, Fuller-Tyszkiewicz M. Usability Evaluation of a Cognitive-Behavioral App-Based Intervention for Binge Eating and Related Psychopathology: A Qualitative Study. Behavior Modification 2021:014544552110217 View
  46. Briggs T, Quick V, Hallman W. Feature Availability Comparison in Free and Paid Versions of Popular Smartphone Weight Management Applications. Journal of Nutrition Education and Behavior 2021 View
  47. Tobias G, Spanier A. Reducing Gingivitis Remotely using the iGAM mHealth app (part 2): Prospective Observational Study (Preprint). JMIR mHealth and uHealth 2020 View

Books/Policy Documents

  1. Cerrato P, Halamka J. The Transformative Power of Mobile Medicine. View
  2. . Design and Quality Considerations for Developing Mobile Apps for Medication Management. View
  3. Wu A, Tse S, Balli F. Precision in Pulmonary, Critical Care, and Sleep Medicine. View
  4. Idris A, Heupel W. Digitale Transformation von Dienstleistungen im Gesundheitswesen VII. View