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

Diabetes Self-Management (495) User-centred Design Case Studies (602) Visualization and Design for Diabetes Data (11) Nursing in a Homecare Setting (16)

Published on in Vol 4, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10702, first published .
Digital Person-Centered Self-Management Support for People With Type 2 Diabetes: Qualitative Study Exploring Design Challenges

Digital Person-Centered Self-Management Support for People With Type 2 Diabetes: Qualitative Study Exploring Design Challenges

Digital Person-Centered Self-Management Support for People With Type 2 Diabetes: Qualitative Study Exploring Design Challenges

Authors of this article:

Robyn Schimmer1 Author Orcid Image ;   Carljohan Orre2 Author Orcid Image ;   Ulrika Öberg3 Author Orcid Image ;   Karin Danielsson1 Author Orcid Image ;   Åsa Hörnsten3 Author Orcid Image
Article Authors Cited by (12) Tweetations (7) Metrics

Journals

  1. Mellergård E, Johnsson P, Eek F. Developing a web-based support using self-affirmation to motivate lifestyle changes in type 2 diabetes: A qualitative study assessing patient perspectives on self-management and views on a digital lifestyle intervention. Internet Interventions 2021;24:100384 View
  2. Vasconcelos Silva C, Bird D, Clemensen J, Janda M, de Camargo Catapan S, Fatehi F, Gray L, Menon A, Russell A. A qualitative analysis of the needs and wishes of people with type 2 diabetes and healthcare professionals for optimal diabetes care. Diabetic Medicine 2022;39(9) View
  3. da Fonseca M, Kovaleski F, Picinin C, Pedroso B, Rubbo P. E-Health Practices and Technologies: A Systematic Review from 2014 to 2019. Healthcare 2021;9(9):1192 View
  4. Chute C, French T, Raman S, Bradley J. User Requirements for Comanaged Digital Health and Care: Review. Journal of Medical Internet Research 2022;24(6):e35337 View
  5. Panch T, Duralde E, Mattie H, Kotecha G, Celi L, Wright M, Greaves F, Lu H. A distributed approach to the regulation of clinical AI. PLOS Digital Health 2022;1(5):e0000040 View
  6. Woldamanuel Y, Rossen J, Andermo S, Bergman P, Åberg L, Hagströmer M, Johansson U. Perspectives on Promoting Physical Activity Using eHealth in Primary Care by Health Care Professionals and Individuals With Prediabetes and Type 2 Diabetes: Qualitative Study. JMIR Diabetes 2023;8:e39474 View
  7. Moore A, Wylde V, Whitehouse M, Beswick A, Walsh N, Jameson C, Blom A. Development of evidence-based guidelines for the treatment and management of periprosthetic hip infection. Bone & Joint Open 2023;4(4):226 View
  8. Jarl F, Davelid A, Hedin K, Stomby A, Petersson C. Overcoming the struggle of living with type 2 diabetes – diabetes specialist nurses’ and patients’ perspectives on digital interventions. BMC Health Services Research 2023;23(1) View
  9. Robinson R, Liday C, Lee S, Williams I, Wright M, An S, Nguyen E. Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study. JMIR AI 2023;2:e46487 View
  10. Khatri R, Wolka E, Nigatu F, Zewdie A, Erku D, Endalamaw A, Assefa Y. People-centred primary health care: a scoping review. BMC Primary Care 2023;24(1) View
  11. Navarro Martínez O, Leyva-Moral J, Leal Costa C. Digital Transformation Led by Nurses and Nursing Managers’ Priorities: A Qualitative Study. Journal of Nursing Management 2024;2024(1) View
  12. Joyce J, Newbert C, Guess N, Fryer K, Mitchell C, Bespala L, Morris E, Aveyard P, Jebb S, Albury C. Identifying Key Moments in Type 2 Diabetes Management: A Qualitative Study of the Experiences of People With Type 2 Diabetes and Diabetes Health Coaches. Health Expectations 2024;27(6) View