Digital Medicine Tools and the Work of Being a Patient: A Qualitative Investigation of Digital Treatment Burden in Patients With Diabetes
Patients identified how digital medicine tools contribute to their treatment burden. The resulting digital burden taxonomy can be used to inform the design, implementation, and prescription of digital medicine tools including support for patients as they normalize them in their lives.
Authors
- Mariana Borras-Osorio
- Misk Al Zahidy (ORCID: https://orcid.org/0009-0007-1999-9351)
- Jennifer L. Ridgeway (ORCID: https://orcid.org/0000-0001-7658-6763)
- Megan E. Branda (ORCID: https://orcid.org/0000-0003-0779-6876)
- Viet-Thi Tran (ORCID: https://orcid.org/0000-0003-1863-6739)
- Sue Simha
- Víctor M. Montori (ORCID: https://orcid.org/0000-0003-0595-2898)
- Maeva Haemmerle
Institutions
- Inserm (FR)
- Université Paris Cité (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
- Centre de Recherche Épidémiologie et Statistique (FR)
Publication Details
- Journal
- Mayo Clinic Proceedings Digital Health
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1016/j.mcpdig.2024.11.001
- Citations
- 4
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 1.55