TY  - JOUR
AU  - Liska, Jan
AU  - Mical, Marie
AU  - Maillard, Christophe
AU  - Dessapt, Cécile
AU  - Bendig, Europa
AU  - Mai, Daniel
AU  - Piette, John D
AU  - De Geest, Sabina
AU  - Fontaine, Guillaume
PY  - 2024
DA  - 2024/1/12
TI  - Mapping the Cardiometabolic Patient Experience and Self-Care Behaviors to Inform Design, Implementation, and Persistent Use of Digital Health Care Solutions: Mixed Methods Study
JO  - JMIR Form Res
SP  - e43683
VL  - 8
KW  - self-care
KW  - adherence
KW  - digital health
KW  - design
KW  - implementation
KW  - coronary
KW  - type 2 diabetes
KW  - care
KW  - patient engagement
KW  - behavior
KW  - interview
KW  - treatment
KW  - tool
KW  - digital tool
KW  - support
AB  - Background: Cardiometabolic conditions including acute coronary syndrome (ACS) and type 2 diabetes (T2D) require comprehensive care and patient engagement in self-care behaviors, and the drivers of those behaviors at the individual and health system level are still poorly understood. Objective: We aim to gain insights into self-care behaviors of individuals with cardiometabolic conditions. Methods: A convenience sample of 98 adult patients with ACS and T2D was recruited in the United States, Germany, and Taiwan to participate in a mixed methods study using ethnographic methods. All participants completed 7-day web-based diaries tracking their level of engagement, and 48 completed 90-minute web-based semistructured interviews between February 4, 2021, and March 27, 2021, focusing on themes including moments of engagement. Qualitative analysis identified factors influencing self-care practices and a Patient Mind States Model prototype. Results: Patient reports indicate that many patients feel social pressure to adhere to treatment. Patients’ experience can be understood within 5 categories defined in terms of their degree of engagement and adherence (“ignoring,” “struggling,” “juggling,” “controlling,” and “reframing”). Conclusions: For people living with ACS and T2D, the self-care journey is defined by patterns of patient experiences, which can identify areas that tailored digital health care interventions may play a meaningful role. 
SN  - 2561-326X
UR  - https://formative.jmir.org/2024/1/e43683
UR  - https://doi.org/10.2196/43683
UR  - http://www.ncbi.nlm.nih.gov/pubmed/38214969
DO  - 10.2196/43683
ID  - info:doi/10.2196/43683
ER  -