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1.
PEC Innov ; 3: 100209, 2023 Dec 15.
Article in English | MEDLINE | ID: mdl-37753273

ABSTRACT

Objective: Among patients with coronary heart disease, we sought to address the research questions of: 1) What is the acceptability of applying a technology-enabled approach to support medication adherence?; and 2) What are barriers to medication adherence using the Capability-Opportunity-Motivation Behavior (COM-B) model as a guiding framework? Methods: Applying qualitative research methods, we employed a series of 3 focus groups per individual (total 9 sessions). Coded data from thematic analysis were mapped to the COM-B model components for meaningful associations. Results: Fourteen participants were recruited (median age 69.5 ± 11, 50% female). Barriers to medication adherence were organized along these COM-B domains: psychological capability (forgetfulness, distractions, fear of side effects), physical opportunity (inaccessible medications, inability to renew prescriptions), reflective (burdening family members), and automatic motivation (medication fatigue, health decline). Conclusions: Tailored text messaging and mobile phone apps were perceived as helpful tools for medication adherence. The COM-B model was useful to provide a comprehensive, theory-driven evaluation of patients' beliefs and motivations on whether to engage in medication adherence. Innovation: To date, text messaging and mobile applications have not been widely implemented in the clinical setting and provide a major opportunity to innovate on approaches to address medication adherence.

2.
Digit Health ; 6: 2055207620926844, 2020.
Article in English | MEDLINE | ID: mdl-32489672

ABSTRACT

OBJECTIVE: Medication non-adherence is linked to adverse clinical outcomes (i.e. rehospitalization, mortality) among patients with coronary heart disease. Given its global adoption and growing popularity among older adults, mobile technology may be an effective strategy to improve medication adherence. The aim of this article is to present the perceptions, attitudes, and beliefs of individuals with coronary heart disease about using text messaging and mobile phone applications for medication adherence. METHODS: We recruited 28 participants (veterans and non-veterans) with a history of coronary heart disease and antiplatelet medication use in Northern California. We formed six focus groups of individuals who participated in three sessions (total 18 sessions). We analyzed our data using grounded theory. RESULTS: The median age was 69.5 ± 10.8 years for non-veterans (50% male) and 70 ± 8.6 years for veterans (100% male). In the first session, we found that participants perceived text message reminders as a convenient, easy, and flexible tool to establish a routine for taking medications. In the second session, participants were eager to use applications for their greater interactivity, individualized health monitoring, and personalized medication information. The third session, participants shared preferred features (i.e. drug interactions, tracking symptoms) after using two applications at home for 2 weeks. CONCLUSIONS: Older adults are engaged and can be proficient mobile technology users. Text messaging and mobile phone applications are perceived as helpful tools for medication adherence. Future research should include rigorous clinical trials to test the efficacy of mobile health technology to promote medication adherence in populations that require strict medication adherence.

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