Publications

Abstract

Background: Patient activation - or knowledge, confidence, and skill managing overall health - is associated with improved health behaviors such as exercise; it is unknown whether it is associated with advance care planning (ACP). Objective: To determine whether patient activation is associated with ACP. Design: This is a cross-sectional study. Setting/Subjects: A total of 414 veterans (≥60 years) with serious and chronic illness enrolled in an ACP trial. Measures: Patient characteristics and self-report surveys included the validated 13-item patient activation measure (PAM, five-point Likert) (e.g., "Taking an active role in your own healthcare is the most important factor⋯") categorized into four levels (e.g., Level 1: "disengaged and overwhelmed" to Level 4: "maintaining behaviors"). ACP was measured with the ACP Engagement Survey including 57-item process scores (i.e., knowledge, contemplation, self-efficacy, readiness, 5-point Likert scale) and 25-item action scores (i.e., surrogate designation, yes/no items). Associations were determined with linear regression. Results: Participants were 71.1 ± 7.8 years of age, 43% were non-white, 9% were women, and 20% had limited health literacy. Higher PAM levels were associated with higher finances, having adult children, lower comorbidity, and more social support (p < 0.05). After adjusting for these characteristics, higher PAM (Level 4 vs. Level 1) was associated with higher ACP engagement (ACP process scores, 2.8 ± 0.7 vs. 3.8 ± 0.7 and action scores 9.7 ± 4.4 vs. 15.1 ± 6.0, p < 0.001). Conclusions: Higher patient activation to manage one's overall healthcare is associated with higher engagement in ACP. Interventions designed to foster general patient activation and self-efficacy to engage in health behaviors and disease management may also improve engagement in the ACP process.

Abstract

Background: The place of residence has been linked to cognitive function among adults in developed countries. This study examined how urban and rural residence was associated with cognitive function among adults in India. Methods: The World Health Organization Study on Global AGEing and Adult Health data was used to examine cognition among 6,244 community-residing adults age 50+ in 6 states in India. Residential status was categorized as urban, rural, urban-to-urban, rural-to-urban, rural-to-rural, and urban-to-rural. Cognition was assessed by immediate and delayed recall tests, digit span test, and verbal fluency test. Multilevel models were used to account for state-level differences and adjusted for individual-level sociodemographic, psychosocial, and health-related factors. Results: Urban residents and urban-to-urban migrants had the highest levels of cognition, whereas rural residents and those who migrated to (or within) rural areas had the lowest cognition. The differences largely persisted after adjustment for multiple covariates; however, rural-to-urban migrants had no difference in cognition from urban residents once socioeconomic factors were taken into account. Conclusion: Cognition among adults in India differed significantly according to their current and past place of residence. Socioeconomic factors played an important role in the cognitive function of adults in urban areas.