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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (363) Mobile Health (mhealth) (2777) mHealth for Wellness, Behavior Change and Prevention (2754)

Published on in Vol 2, No 1 (2014): Jan-Mar

A Classification Scheme for Analyzing Mobile Apps Used to Prevent and Manage Disease in Late Life

A Classification Scheme for Analyzing Mobile Apps Used to Prevent and Manage Disease in Late Life

A Classification Scheme for Analyzing Mobile Apps Used to Prevent and Manage Disease in Late Life

Authors of this article:

Aiguo Wang1 ;   Ning An1 ;   Xin Lu2 ;   Hongtu Chen2, 3, 4 ;   Changqun Li1 ;   Sue Levkoff4, 5, 6
Article Authors Cited by (25) Tweetations (19) Metrics

Journals

  1. Cunha A, Cunha E, Peres E, Trigueiros P. Helping Older People: Is there an App for that?. Procedia Computer Science 2016;100:118 View
  2. Roberts C, Sage A, Geryk L, Sleath B, Carpenter D. Adolescent feedback on predisposing, reinforcing and enabling features in asthma self-management apps. Health Education Journal 2019;78(7):770 View
  3. Fitzgerald M, McClelland T. What makes a mobile app successful in supporting health behaviour change?. Health Education Journal 2017;76(3):373 View
  4. Dupuis K, Tsotsos L. Technology for Remote Health Monitoring in an Older Population: A Role for Mobile Devices. Multimodal Technologies and Interaction 2018;2(3):43 View
  5. 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
  6. Brignone L, Edleson J. The Dating and Domestic Violence App Rubric: Synthesizing Clinical Best Practices and Digital Health App Standards for Relationship Violence Prevention Smartphone Apps. International Journal of Human–Computer Interaction 2019;35(19):1859 View
  7. Maheu M, Nicolucci V, Pulier M, Wall K, Frye T, Hudlicka E. The Interactive Mobile App Review Toolkit (IMART): a Clinical Practice-Oriented System. Journal of Technology in Behavioral Science 2016;1(1-4):3 View
  8. 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) View
  9. Paglialonga A, Pinciroli F, Tognola G. The ALFA4Hearing Model (At-a-Glance Labeling for Features of Apps for Hearing Health Care) to Characterize Mobile Apps for Hearing Health Care. American Journal of Audiology 2017;26(3S):408 View
  10. McClelland G, Fitzgerald M. A participatory mobile application (app) development project with mental health service users and clinicians. Health Education Journal 2018;77(7):815 View
  11. Boudreaux E, Waring M, Hayes R, Sadasivam R, Mullen S, Pagoto S. Evaluating and selecting mobile health apps: strategies for healthcare providers and healthcare organizations. Translational Behavioral Medicine 2014;4(4):363 View
  12. Lane T, Armin J, Gordon J. Online Recruitment Methods for Web-Based and Mobile Health Studies: A Review of the Literature. Journal of Medical Internet Research 2015;17(7):e183 View
  13. Seely E, Weitzman P, Cortes D, Romero Vicente S, Levkoff S. Development and Feasibility of an App to Decrease Risk Factors for Type 2 Diabetes in Hispanic Women With Recent Gestational Diabetes (Hola Bebé, Adiós Diabetes): Pilot Pre-Post Study. JMIR Formative Research 2020;4(12):e19677 View
  14. Krishnaswami A, Beavers C, Dorsch M, Dodson J, Masterson Creber R, Kitsiou S, Goyal P, Maurer M, Wenger N, Croy D, Alexander K, Batsis J, Turakhia M, Forman D, Bernacki G, Kirkpatrick J, Orr N, Peterson E, Rich M, Freeman A, Bhavnani S. Gerotechnology for Older Adults With Cardiovascular Diseases. Journal of the American College of Cardiology 2020;76(22):2650 View
  15. Portenhauser A, Terhorst Y, Schultchen D, Sander L, Denkinger M, Stach M, Waldherr N, Dallmeier D, Baumeister H, Messner E. Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores. JMIR Aging 2021;4(1):e23313 View
  16. Sheon A, Van Winkle B, Solad Y, Atreja A. An Algorithm for Digital Medicine Testing: A NODE.Health Perspective Intended to Help Emerging Technology Companies and Healthcare Systems Navigate the Trial and Testing Period prior to Full-Scale Adoption. Digital Biomarkers 2018;2(3):139 View
  17. Ayanso A, Han M, Zihayat M. An automated mobile app labeling framework based on primary motivations for smartphone use. International Journal of Web Information Systems 2022;18(1):23 View
  18. Yau K, Tang T, Görges M, Pinkney S, Kim A, Kalia A, Amed S. Effectiveness of Mobile Apps in Promoting Healthy Behavior Changes and Preventing Obesity in Children: Systematic Review. JMIR Pediatrics and Parenting 2022;5(1):e34967 View
  19. Schomakers E, Lidynia C, Vervier L, Calero Valdez A, Ziefle M. Applying an Extended UTAUT2 Model to Explain User Acceptance of Lifestyle and Therapy Mobile Health Apps: Survey Study. JMIR mHealth and uHealth 2022;10(1):e27095 View

Books/Policy Documents

  1. Han P, Li Y, Yin Y, An N. Human Aspects of IT for the Aged Population. Design for the Elderly and Technology Acceptance. View
  2. Molina-Recio G, García-Hernández L, Castilla-Melero A, Palomo-Romero J, Molina-Luque R, Sánchez-Muñoz A, Arauzo-Azofra A, Salas-Morera L. Bioinformatics and Biomedical Engineering. View
  3. . M‐Health: Fundamentals and Applications. View
  4. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. View
  5. Deb R, Mahto P, Deka L. Recent Developments in Individual and Organizational Adoption of ICTs. View