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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Usability of Apps and User Perceptions of mHealth (974) Design and Formative Evaluation of Mobile Apps (694) Apps, Mobile, Wearables for Diabetes (298)

Published on in Vol 1, No 2 (2013): Jul-Dec

Ideas and Enhancements Related to Mobile Applications to Support Type 1 Diabetes

Ideas and Enhancements Related to Mobile Applications to Support Type 1 Diabetes

Ideas and Enhancements Related to Mobile Applications to Support Type 1 Diabetes

Authors of this article:

Andy Pulman1 Author Orcid Image ;   Jacqui Taylor2 ;   Kathleen Galvin3 ;   Mike Masding4
Article Authors Cited by (17) Tweetations (3) Metrics

Journals

  1. Molina-Recio G, Molina-Luque R, Jiménez-García A, Ventura-Puertos P, Hernández-Reyes A, Romero-Saldaña M. Proposal for the User-Centered Design Approach for Health Apps Based on Successful Experiences: Integrative Review. JMIR mHealth and uHealth 2020;8(4):e14376 View
  2. 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
  3. Tamony P, Holt R, Barnard K. The Role of Mobile Applications in Improving Alcohol Health Literacy in Young Adults With Type 1 Diabetes. Journal of Diabetes Science and Technology 2015;9(6):1313 View
  4. Miyamoto S, Henderson S, Young H, Pande A, Han J. Tracking Health Data Is Not Enough: A Qualitative Exploration of the Role of Healthcare Partnerships and mHealth Technology to Promote Physical Activity and to Sustain Behavior Change. JMIR mHealth and uHealth 2016;4(1):e5 View
  5. Badawy S, Thompson A, Liem R. Technology Access and Smartphone App Preferences for Medication Adherence in Adolescents and Young Adults With Sickle Cell Disease. Pediatric Blood & Cancer 2016;63(5):848 View
  6. Hilliard M, Eshtehardi S, Minard C, Saber R, Thompson D, Karaviti L, Rojas Y, Anderson B. Strengths-Based Behavioral Intervention for Parents of Adolescents With Type 1 Diabetes Using an mHealth App (Type 1 Doing Well): Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols 2018;7(3):e77 View
  7. Morrison L, Hargood C, Lin S, Dennison L, Joseph J, Hughes S, Michaelides D, Johnston D, Johnston M, Michie S, Little P, Smith P, Weal M, Yardley L. Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study. Journal of Medical Internet Research 2014;16(10):e201 View
  8. Rubanovich C, Mohr D, Schueller S. Health App Use Among Individuals With Symptoms of Depression and Anxiety: A Survey Study With Thematic Coding. JMIR Mental Health 2017;4(2):e22 View
  9. Zhang Y, Li X, Luo S, Liu C, Liu F, Zhou Z. Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study. JMIR mHealth and uHealth 2018;6(9):e11400 View
  10. Zhang Y, Li X, Luo S, Liu C, Xie Y, Guo J, Liu F, Zhou Z. Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey. JMIR mHealth and uHealth 2019;7(2):e12658 View
  11. Thomas S, Pulman A, Thomas P, Collard S, Jiang N, Dogan H, Davies Smith A, Hourihan S, Roberts F, Kersten P, Pretty K, Miller J, Stanley K, Gay M. Digitizing a Face-to-Face Group Fatigue Management Program: Exploring the Views of People With Multiple Sclerosis and Health Care Professionals Via Consultation Groups and Interviews. JMIR Formative Research 2019;3(2):e10951 View
  12. Yonker L, Zan S, Scirica C, Jethwani K, Kinane T. “Friending” Teens: Systematic Review of Social Media in Adolescent and Young Adult Health Care. Journal of Medical Internet Research 2015;17(1):e4 View
  13. Thomas S, Pulman A, Dogan H, Jiang N, Passmore D, Pretty K, Fairbanks B, Davies Smith A, Thomas P. Creating a Digital Toolkit to Reduce Fatigue and Promote Quality of Life in Multiple Sclerosis: Participatory Design and Usability Study. JMIR Formative Research 2021;5(12):e19230 View
  14. Morrow E, Zidaru T, Ross F, Mason C, Patel K, Ream M, Stockley R. Artificial intelligence technologies and compassion in healthcare: A systematic scoping review. Frontiers in Psychology 2023;13 View
  15. Zhao E, Chen S. Association of serum C-peptide with all-cause and cardiovascular disease mortality in ultrasound-defined nonalcoholic fatty liver disease. Clinics and Research in Hepatology and Gastroenterology 2022;46(10):102002 View
  16. Pulman A, Hill J, Taylor J, Galvin K, Masding M. Innovative mobile technology alcohol education for young people with type 1 diabetes. Practical Diabetes 2013;30(9):376 View

Books/Policy Documents

  1. 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