Patient activation refers to people's ability to engage in self-management of their health and health care. We assessed the performance of the Patient Activation Measure (PAM) for patients attending three inner-city health centers and compared resultant scores with those of the general U.S. adult population. We approached 801 patients and 527 (65.8%) participated; the majority were Latino(a) or African American/Black. No differences in activation were seen according to age. Males and more educated patients were more activated (p<.05) and patients with better self-rated health and adequate health literacy were more activated than their counterparts (p<.001). Patterns of scores resembled those of the U.S. general population for educational attainment and self-rated health but not for gender and age. Compared with the general population, more patients were characterized as level 1 (least activated). Developing strategies that enhance patient activation is critical to improving health outcomes, particularly in less advantaged populations.

Our study aimed to (1) assess health-related quality of life (HRQoL) and mental well-being of healthy and diseased persons in the general population during the early stage of the COVID-19 pandemic and (2) examine the relationship between HRQoL and mental well-being and individual characteristics and government response against COVID-19, as measured by the stringency index. A web-based survey was administered to a cohort of persons from the general population of eight countries: Greece, Italy, the Netherlands, Russia, South Africa, Sweden, the United Kingdom (UK) and the United States of America (US) from April 22 to May 5 and May 26 to June 1, 2020. Country-level stringency indices were adopted from the COVID-19 Government Response Tracker. Primary outcomes were HRQoL, measured using the EQ-5D-5L, and mental well-being, measured using the World Health Organization-5 Well-Being (WHO-5). 21,354 respondents were included in the study. Diseased respondents had lower EQ-5D-5L and WHO-5 scores compared to healthy respondents. Younger respondents had lower WHO-5 scores than older respondents. The stringency index had a stronger association with the EQ-5D-5L and WHO-5 among diseased respondents compared to healthy respondents. Increasing stringency was associated with an increase in EQ-5D-5L scores but a decrease in the WHO-5 index. The stringency of government response is inversely related to HRQoL and mental well-being with a small positive relation with HRQoL and strong negative relation with mental well-being. The magnitude of effects differed for healthy and diseased persons and by age but was most favourable for diseased and older persons.

Objectives: To assess heath literacy, health information seeking, and trust in health-related information among Haitian immigrants seen in primary care. Methods: Health literacy was measured by the Brief Health Literacy Screen (BHLS); items on health information use were from the 2007 Health Information National Trends Survey. Results: BHLS scores differed according to age, education, and survey language. Participants with lower levels of health literacy tended to be more likely to place “a lot” or “some” trust in family and friends and religious organizations and leaders as sources of information about health or medical topics. Conclusions: Constructing a culturally-tailored and appropriate intervention regarding health promotion requires understanding how the population accesses and conveys health information.

Previous investigations of the relationship between marital status and life expectancy and healthy life expectancy rely on the assumption that participants will remain in a given marital status until death. This study estimated total life expectancy (TLE) and active life expectancy (ALE) for respondents by their baseline marital status using a large longitudinal sample of the U.S. community-dwelling elderly population. Data were from the Medicare Health Outcomes Survey Cohort 15 (2012 baseline, 2014 follow-up). We included respondents aged ≥65 years (n = 164,597). Multi-state models estimated TLE and ALE by marital status to allow participants’ marital status to change during the remaining lifetime. Between 65 and 85 years, married men and women had a longer TLE and ALE than unmarried men and women. For example, at 65 years, TLE for married men was 18.6 years, 2.2 years longer than unmarried men, and ALE for married men was 12.3 years, 2.4 years longer than unmarried men. Similarly, at 65 years, TLE for married women was 21.1 years, 1.5 years longer than unmarried women, and ALE for married women was 13.0 years, 2.0 years longer than unmarried women. Such marriage protection effects decreased with age. In subgroups of unmarried persons, never married persons had the shortest TLE and ALE among men, and never married, divorced, and widowed persons had a similar, and shorter, TLE and ALE among women. The difference in TLE between married and unmarried persons was smaller after adjusting for baseline activity limitation status. This study provides additional evidence for marriage's protective effect, with the magnitude of protection being greater for younger as compared to older persons. Selection bias was a large contributor to longer life expectancy among married persons.