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

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4532):

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

  1. Guan Z, Sun L, Xiao Q, Wang Y. Constructing an assessment framework for the quality of asthma smartphone applications. BMC Medical Informatics and Decision Making 2019;19(1)
    CrossRef
  2. Brigden A, Barnett J, Parslow RM, Beasant L, Crawley E. Using the internet to cope with chronic fatigue syndrome/myalgic encephalomyelitis in adolescence: a qualitative study. BMJ Paediatrics Open 2018;2(1):e000299
    CrossRef
  3. , , , , . Exploring Family Nurse Practitionersʼ Practices in Recommending mHealth Apps to Patients. CIN: Computers, Informatics, Nursing 2020;38(2):71
    CrossRef
  4. Reyes A, Qin P, Brown CA. A standardized review of smartphone applications to promote balance for older adults. Disability and Rehabilitation 2018;40(6):690
    CrossRef
  5. Rodríguez-Sánchez-Laulhé P, Luque-Romero LG, Blanquero J, Suero-Pineda A, Biscarri-Carbonero , Barrero-García FJ, Heredia-Rizo AM. 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)
    CrossRef
  6. 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
  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
    CrossRef
  8. Mayer MA, 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
    CrossRef
  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
    CrossRef
  10. Karasneh RA, Al-Azzam SI, Alzoubi KH, Muflih SM, Hawamdeh SS. Smartphone Applications for Period Tracking: Rating and Behavioral Change among Women Users. Obstetrics and Gynecology International 2020;2020:1
    CrossRef
  11. Ali ZC, Shakir S, Aslam TM. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86
    CrossRef
  12. Ali ZC, Shakir S, Aslam TM. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86
    CrossRef
  13. Pooch EHP, Sanchez-Paz A, Fermino MH, de Brito KCT, de Brito B, Romano LA, Abreu PC, Stech MR, Cazella SC, Cavalli LS. aquasaúde: A mobile application for educational training on prevention of shrimp pathogen-associated diseases. Aquaculture Research 2018;49(7):2597
    CrossRef
  14. Demiris G, Iribarren SJ, Sward K, Lee S, Yang R. Patient generated health data use in clinical practice: A systematic review. Nursing Outlook 2019;67(4):311
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  18. Iribarren SJ, Schnall R, Stone PW, Carballo-Diéguez A. Smartphone Applications to Support Tuberculosis Prevention and Treatment: Review and Evaluation. JMIR mHealth and uHealth 2016;4(2):e25
    CrossRef
  19. 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
  20. , , , , . 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
    CrossRef
  21. Stühmann LM, 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
    CrossRef
  22. Masterson Creber RM, Maurer MS, Reading M, Hiraldo G, Hickey KT, 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
    CrossRef
  23. Islam MN, Islam I, Munim KM, Islam AKMN. A Review on the Mobile Applications Developed for COVID-19: An Exploratory Analysis. IEEE Access 2020;8:145601
    CrossRef
  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
    CrossRef
  25. Darby A, Strum MW, Holmes E, Gatwood J. A Review of Nutritional Tracking Mobile Applications for Diabetes Patient Use. Diabetes Technology & Therapeutics 2016;18(3):200
    CrossRef
  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
    CrossRef
  27. 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
  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
    CrossRef
  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 2019;:101301
    CrossRef
  30. 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
  31. Iribarren SJ, Cato K, Falzon L, Stone PW, Mihalopoulos C. What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions. PLOS ONE 2017;12(2):e0170581
    CrossRef
  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
    CrossRef
  33. Martinez M, Park SB, Maison I, Mody V, Soh LS, Parihar HS. iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence. JMIR Diabetes 2017;2(2):e12
    CrossRef
  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
    CrossRef
  35. Sezgin E, Özkan-Yildirim S, Yildirim S. Understanding the perception towards using mHealth applications in practice. Information Development 2018;34(2):182
    CrossRef
  36. Poudyal A, van Heerden A, Hagaman A, Maharjan SM, Byanjankar P, Subba P, Kohrt BA. 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
    CrossRef
  37. 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

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4532):

  1. Eren PE, Gökalp E. Current and Emerging mHealth Technologies. 2018. Chapter 11:167
    CrossRef
  2. Vollmer Dahlke D, Ory M. Encyclopedia of Geropsychology. 2016. Chapter 289-1:1
    CrossRef