@Article{info:doi/10.2196/43683,
author="Liska, Jan
and Mical, Marie
and Maillard, Christophe
and Dessapt, C{\'e}cile
and Bendig, Europa
and Mai, Daniel
and Piette, John D
and De Geest, Sabina
and Fontaine, Guillaume",
title="Mapping the Cardiometabolic Patient Experience and Self-Care Behaviors to Inform Design, Implementation, and Persistent Use of Digital Health Care Solutions: Mixed Methods Study",
journal="JMIR Form Res",
year="2024",
month="Jan",
day="12",
volume="8",
pages="e43683",
keywords="self-care; adherence; digital health; design; implementation; coronary; type 2 diabetes; care; patient engagement; behavior; interview; treatment; tool; digital tool; support",
abstract="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. ",
issn="2561-326X",
doi="10.2196/43683",
url="https://formative.jmir.org/2024/1/e43683",
url="https://doi.org/10.2196/43683",
url="http://www.ncbi.nlm.nih.gov/pubmed/38214969"
}