Association Between Current Medical Decision-Making Participation Self-Efficacy and Advance Care Planning Engagement...

Background and Objectives: Misconceptions of and cultural differences in aging influence older adults' medical decision-making self-efficacy and engagement in advance care planning (ACP). This study aims to investigate the association between current medical decision-making participation self-efficacy and ACP engagement among older individuals receiving home-based medical care (HBMC) in Taiwan. Design: Baseline data analysis of a nationwide cohort study. Setting and Participants: Patients aged ≥50 years who had been consistently receiving HBMC for > two months between November 2019 and December 2022 were recruited. Study recruitment took place at six hospitals and 12 community home care institutions. Measurement and Analysis: A structured questionnaire was used to collect data on sociodemographic characteristics, decision-making participation self-efficacy, and ACP engagement. Descriptive, stratified, and multivariate logistic regression analyses were performed. Results: In total, 408 HBMC recipients were enrolled (average age: 80.4 years; 55% women). The respondents reported moderate decision-making participation self-efficacy but low ACP engagement. In light of the transtheoretical model of behavior change, participants with moderate or high self-efficacy had a significantly higher chance of reaching the "contemplation stage" for ACP decisions (odds ratio or OR 4.06-27.13). Participants were more likely to reach the "preparation and action stages" for ACP decisions only when they had high self-efficacy (OR 2.76-14.73). Conclusions: Although participants with better current medical decision-making self-efficacy were more likely to contemplate ACP, many did not take action beyond appointing a medical surrogate(s). Strategies to enhance decisional self-efficacy, thereby increasing timely ACP discussions among older adults in home settings in Chinese culture, are warranted. Trial registration number: ClinicalTrials.gov Identifier is NCT04250103 which has been registered on 31st January 2020.