Published on in Vol 3, No 3 (2015): Jul-Sep

A Framework to Assist Health Professionals in Recommending High-Quality Apps for Supporting Chronic
Disease Self-Management: Illustrative Assessment of Type 2 Diabetes Apps

A Framework to Assist Health Professionals in Recommending High-Quality Apps for Supporting Chronic Disease Self-Management: Illustrative Assessment of Type 2 Diabetes Apps

A Framework to Assist Health Professionals in Recommending High-Quality Apps for Supporting Chronic Disease Self-Management: Illustrative Assessment of Type 2 Diabetes Apps

Authors of this article:

Kelli Hale1 Author Orcid Image ;   Sandra Capra1 Author Orcid Image ;   Judy Bauer1 Author Orcid Image

Journals

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  3. Mueller R. Exploring Family Nurse Practitioners' Practices in Recommending mHealth Apps to Patients. CIN: Computers, Informatics, Nursing 2020;38(2):71 View
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  5. Rodríguez-Sánchez-Laulhé P, Luque-Romero L, Blanquero J, Suero-Pineda A, Biscarri-Carbonero Á, Barrero-García F, Heredia-Rizo A. A mobile app using therapeutic exercise and education for self-management in patients with hand rheumatoid arthritis: a randomized controlled trial protocol. Trials 2020;21(1) View
  6. Grainger R, Townsley H, White B, Langlotz T, Taylor W. 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 View
  7. Chen J, Gemming L, Hanning R, Allman-Farinelli M. Smartphone apps and the nutrition care process: Current perspectives and future considerations. Patient Education and Counseling 2018;101(4):750 View
  8. Mayer M, Rodríguez Blanco O, Torrejon A. Use of Health Apps by Nurses for Professional Purposes: Web-Based Survey Study. JMIR mHealth and uHealth 2019;7(11):e15195 View
  9. Vu M, Nguyen V, Vishwanath S, Wolfe C, Patel S. Know Your Numbers: Creation and implementation of a novel community health mobile application (app) by student pharmacists. Journal of the American Pharmacists Association 2018;58(2):191 View
  10. 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
  11. Ali Z, Shakir S, Aslam T. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86 View
  12. Ali Z, Shakir S, Aslam T. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86 View
  13. Pooch E, Sanchez-Paz A, Fermino M, de Brito K, de Brito B, Romano L, Abreu P, Stech M, Cazella S, Cavalli L. aquasaúde: A mobile application for educational training on prevention of shrimp pathogen-associated diseases. Aquaculture Research 2018;49(7):2597 View
  14. Demiris G, Iribarren S, Sward K, Lee S, Yang R. Patient generated health data use in clinical practice: A systematic review. Nursing Outlook 2019;67(4):311 View
  15. 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
  16. Albrecht U, Malinka C, Long S, Raupach T, Hasenfuß G, von Jan U. Quality Principles of App Description Texts and Their Significance in Deciding to Use Health Apps as Assessed by Medical Students: Survey Study. JMIR mHealth and uHealth 2019;7(2):e13375 View
  17. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P. Fundamentals for Future Mobile-Health (mHealth): A Systematic Review of Mobile Phone and Web-Based Text Messaging in Mental Health. Journal of Medical Internet Research 2016;18(6):e135 View
  18. Iribarren S, Schnall R, Stone P, Carballo-Diéguez A. Smartphone Applications to Support Tuberculosis Prevention and Treatment: Review and Evaluation. JMIR mHealth and uHealth 2016;4(2):e25 View
  19. DiFilippo K, Huang W, Chapman-Novakofski K. A New Tool for Nutrition App Quality Evaluation (AQEL): Development, Validation, and Reliability Testing. JMIR mHealth and uHealth 2017;5(10):e163 View
  20. Holtkamp M. Decrease Hospital Spending: There's an App for That! A Retrospective Analysis of Implementation of a Mobile Resident Handbook on Hospital Costs and Disposition. Telemedicine and e-Health 2017;23(10):828 View
  21. Stühmann L, Paprott R, Heidemann C, Baumert J, Hansen S, Zahn D, Scheidt-Nave C, Gellert P. Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey. JMIR Diabetes 2020;5(2):e14396 View
  22. Masterson Creber R, Maurer M, Reading M, Hiraldo G, Hickey K, Iribarren S. Review and Analysis of Existing Mobile Phone Apps to Support Heart Failure Symptom Monitoring and Self-Care Management Using the Mobile Application Rating Scale (MARS). JMIR mHealth and uHealth 2016;4(2):e74 View
  23. Islam M, Islam I, Munim K, Islam A. A Review on the Mobile Applications Developed for COVID-19: An Exploratory Analysis. IEEE Access 2020;8:145601 View
  24. Cole T, Robinson L, Romero L, O'Brien L. Effectiveness of interventions to improve therapy adherence in people with upper limb conditions: A systematic review. Journal of Hand Therapy 2019;32(2):175 View
  25. Darby A, Strum M, Holmes E, Gatwood J. A Review of Nutritional Tracking Mobile Applications for Diabetes Patient Use. Diabetes Technology & Therapeutics 2016;18(3):200 View
  26. Xie B, Su Z, Zhang W, Cai R. Chinese Cardiovascular Disease Mobile Apps’ Information Types, Information Quality, and Interactive Functions for Self-Management: Systematic Review. JMIR mHealth and uHealth 2017;5(12):e195 View
  27. 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
  28. 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 View
  29. Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2020;55:101301 View
  30. 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
  31. Iribarren S, Cato K, Falzon L, Stone P, Mihalopoulos C. What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions. PLOS ONE 2017;12(2):e0170581 View
  32. Davoudi Kongsofla M, Najafi Ghezeljeh T, Saeidi A, Peyravi H, Kiaroosta N. Design and Evaluation of a Smartphone-Based Application to Manage the Treatment of People with Heart Failur. Iranian Journal of War and Public Health 2019;11(3):125 View
  33. Martinez M, Park S, Maison I, Mody V, Soh L, Parihar H. iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence. JMIR Diabetes 2017;2(2):e12 View
  34. Ostojic M, Chung J, DiMattia M, Furlonger B, Busacca M, Chittleborough P. A Review of the Processes By Which School Psychologists and Counsellors Can Use Taxonomies to Evaluate Health-Related Apps. Journal of Psychologists and Counsellors in Schools 2018;28(2):212 View
  35. Sezgin E, Özkan-Yildirim S, Yildirim S. Understanding the perception towards using mHealth applications in practice. Information Development 2018;34(2):182 View
  36. Poudyal A, van Heerden A, Hagaman A, Maharjan S, Byanjankar P, Subba P, Kohrt B. Wearable Digital Sensors to Identify Risks of Postpartum Depression and Personalize Psychological Treatment for Adolescent Mothers: Protocol for a Mixed Methods Exploratory Study in Rural Nepal. JMIR Research Protocols 2019;8(8):e14734 View
  37. Laird E, Ryan A, McCauley C, Bond R, Mulvenna M, Curran K, 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 View
  38. Schindler-Ruwisch J, Peters A. Mobile applications for emerging adults transitioning to independent diabetes monitoring. Informatics for Health and Social Care 2021;46(1):56 View
  39. Davoudi M, Najafi Ghezeljeh T, Vakilian Aghouee F. Effect of a Smartphone-Based App on the Quality of Life of Patients With Heart Failure: Randomized Controlled Trial. JMIR Nursing 2020;3(1):e20747 View
  40. 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 View
  41. Salehinejad S, Niakan Kalhori S, Hajesmaeel Gohari S, Bahaadinbeigy K, Fatehi F. A review and content analysis of national apps for COVID-19 management using Mobile Application Rating Scale (MARS). Informatics for Health and Social Care 2021;46(1):42 View
  42. Thomas M, Lal V, Baby A, Rabeeh VP M, James A, Raj A. Can technological advancements help to alleviate COVID-19 pandemic? a review. Journal of Biomedical Informatics 2021;117:103787 View
  43. Marques F, Bettoni G, Santos B, Adeoye A, Brito B, Brito K, Buketov K, Cazella S, Fermino M, Hellebrandt L, Jeebhay M, Mitchell R, Ngajilo D, Watterson A, Cavalli L. AquaSafe: Aquaculture occupational safety and health in the palm of your hand. Pesquisa Agropecuária Gaúcha 2020;26(1):46 View
  44. Alzamanan M, Lim K, Akmar Ismail M, Abdul Ghani N. Self-Management Apps for People With Epilepsy: Systematic Analysis. JMIR mHealth and uHealth 2021;9(5):e22489 View
  45. Malinka C, Dittrich F, Back D, Ansorg J, von Jan U, Albrecht U. Orthopaedic and trauma surgeons’ prioritisation of app quality principles based on their demographic background. BMC Musculoskeletal Disorders 2023;24(1) View
  46. Leach B, Parkinson S, Gkousis E, Abel G, Atherton H, Campbell J, Clark C, Cockcroft E, Marriott C, Pitchforth E, Sussex J. Digital Facilitation to Support Patient Access to Web-Based Primary Care Services: Scoping Literature Review. Journal of Medical Internet Research 2022;24(7):e33911 View
  47. Mack C, Terhorst Y, Stephan M, Baumeister H, Stach M, Messner E, Bengel J, Sander L. “Help in a Heartbeat?”: A Systematic Evaluation of Mobile Health Applications (Apps) for Coronary Heart Disease. International Journal of Environmental Research and Public Health 2021;18(19):10323 View
  48. Militello L, Hutson E. The Good, the Bad, and the Potential. Advances in Family Practice Nursing 2022;4(1):173 View
  49. Foster M, Xiong W, Quintiliani L, Hartmann C, Gaehde S. Preferences of Older Adult Veterans With Heart Failure for Engaging With Mobile Health Technology to Support Self-care: Qualitative Interview Study Among Patients With Heart Failure and Content Analysis. JMIR Formative Research 2022;6(12):e41317 View
  50. Chan P, Furlonger B, Leif E, D’Souza L, Phillips K, Di Mattia M. An evaluation of the behaviour change content and quality of smartphone apps designed for individuals experiencing anxiety: an illustrative example for school psychologists. Educational and Developmental Psychologist 2022;39(2):209 View
  51. Saeidnia H, Kozak M, Ausloos M, Lund B, Ghorbi A, Mohammadzadeh Z. Evaluation of COVID-19 m-Health apps: An analysis of the methods of app usability testing during a global pandemic. Informatics in Medicine Unlocked 2023;41:101310 View
  52. Wang J, Zhu Z, Shuling Z, Fan J, Jin Y, Gao Z, Chen W, Li X. Effectiveness of mHealth App–Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2024;12:e51478 View
  53. Levy A, Leo H, Joseph T, Henderson M, Olivier P, Shayan Y, Buithieu M. Teaching Families How to Manage Diabetic Emergencies Using Their Children as Patient Simulators. Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 2024 View
  54. Abel G, Atherton H, Sussex J, Akter N, Aminu A, Bak W, Bryce C, Clark C, Cockcroft E, Evans H, Gkousis E, Jenkins G, Jenkinson C, Khan N, Lambert J, Leach B, Marriott C, Newbould J, Parkinson S, Parsons J, Pitchforth E, Sheard L, Stockwell S, Thomas C, Treadgold B, Winder R, Campbell J. Current experience and future potential of facilitating access to digital NHS primary care services in England: the Di-Facto mixed-methods study. Health and Social Care Delivery Research 2024:1 View

Books/Policy Documents

  1. Eren P, Gökalp E. Current and Emerging mHealth Technologies. View
  2. Vollmer Dahlke D, Ory M. Encyclopedia of Geropsychology. View