Faculty Bibliography

IMPORTANCE/OBJECTIVE:Racial and ethnic disparities plague the US health care system despite efforts to eliminate them. To understand what has been achieved amid these efforts, a comprehensive study from the population perspective is needed. OBJECTIVES/OBJECTIVE:To determine trends in rates and racial/ethnic disparities of key access to care measures among adults in the US in the last two decades. DESIGN/METHODS:Cross-sectional. SETTING/METHODS:Data from the National Health Interview Survey, 1999-2018. PARTICIPANTS/METHODS:Individuals >18 years old. EXPOSURE/METHODS:Race and ethnicity: non-Hispanic Black, non-Hispanic Asian, non-Hispanic White, Hispanic. MAIN OUTCOME AND MEASURES/METHODS:Rates of lack of insurance coverage, lack of a usual source of care, and foregone/delayed medical care due to cost. We also estimated the gap between non-Hispanic White and the other subgroups for these outcomes. RESULTS:We included 596,355 adults, of which 69.7% identified as White, 11.8% as Black, 4.7% as Asian, and 13.8% as Hispanic. The proportion uninsured and the rates of lacking a usual source of care remained stable across all 4 race/ethnicity subgroups up to 2009, while rates of foregone/delayed medical care due to cost increased. Between 2010 and 2015, the percentage of uninsured diminished for all, with the steepest reduction among Hispanics (-2.1% per year). In the same period, rates of no usual source of care declined only among Hispanics (-1.2% per year) while rates of foregone/delayed medical care due to cost decreased for all. No substantial changes were observed from 2016-2018 in any outcome across subgroups. Compared with 1999, in 2018 the rates of foregone/delayed medical care due to cost were higher for all (+3.1% among Whites, +3.1% among Blacks, +0.5% among Asians, and +2.2% among Hispanics) without significant change in gaps; rates of no usual source of care were not significantly different among Whites or Blacks but were lower among Hispanics (-4.9%) and Asians (-6.4%). CONCLUSIONS AND RELEVANCE/CONCLUSIONS:Insurance coverage increased for all, but millions of individuals remained uninsured or underinsured with increasing rates of unmet medical needs due to cost. Those identifying as non-Hispanic Black and Hispanic continue to experience more barriers to health care services compared with non-Hispanic White individuals. KEY POINTS/CONCLUSIONS:

IMPORTANCE/OBJECTIVE:Thirty-five years ago, the Heckler Report described health disparities among minority populations in the US. Since then, policies have been implemented to address these disparities. However, a recent evaluation of progress towards improving the health and health equity among US adults is lacking. OBJECTIVES/OBJECTIVE:To evaluate racial/ethnic disparities in the physical and mental health of US adults over the last 2 decades. DESIGN/METHODS:Cross-sectional. SETTING/METHODS:National Health Interview Survey data, years 1999-2018. PARTICIPANTS/METHODS:Adults aged 18-85 years. EXPOSURE/METHODS:Race/ethnicity subgroups (non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, Hispanic). MAIN OUTCOME AND MEASURES/METHODS:Proportion of adults reporting poor/fair health status, severe psychological distress, functional limitation, and insufficient sleep. We also estimated the gap between non-Hispanic White and the other subgroups for these four outcomes. RESULTS:We included 596,355 adults (mean age 46 years, 51.8% women), of which 69.7%, 13.8%, 11.8% and 4.7% identified as non-Hispanic White, Hispanic, non-Hispanic Black, and non-Hispanic Asian, respectively. Between 1999 and 2018, Black individuals fared worse on most measures of health, with 18.7% (95% CI 17.1-20.4) and 41.1% (95% CI 38.7-43.5) reporting poor/fair health and insufficient sleep in 2018 compared with 11.1% (95% CI 10.5- 11.7) and 31.2% (95% CI 30.3-32.1) among White individuals. Notably, between 1999-2018, there was no significant decrease in the gap in poor/fair health status between White individuals and Black (-0.07% per year, 95% CI -0.16-0.01) and Hispanic (-0.03% per year, 95% CI -0.07- 0.02) individuals, and an increase in the gap in sleep between White individuals and Black (+0.2% per year, 95% CI 0.1-0.4) and Hispanic (+0.3% per year, 95% CI 0.1-0.4) individuals. Additionally, there was no significant decrease in adults reporting poor/fair health status and an increase in adults reporting severe psychological distress, functional limitation, and insufficient sleep. CONCLUSIONS AND RELEVANCE/CONCLUSIONS:The marked racial/ethnic disparities in health of US adults have not improved over the last 20 years. Moreover, the self-perceived health of US adults worsened during this time. These findings highlight the need to re-examine the initiatives seeking to promote health equity and improve health.

INTRODUCTION:The USA has the highest rate of community gun violence of any developed democracy. There is an urgent need to develop feasible, scalable and community-led interventions that mitigate incident gun violence and its associated health impacts. Our community-academic research team received National Institutes of Health funding to design a community-led intervention that mitigates the health impacts of living in communities with high rates of gun violence. METHODS AND ANALYSIS:We adapted 'Building Resilience to Disasters', a conceptual framework for natural disaster preparedness, to guide actions of multiple sectors and the broader community to respond to the man-made disaster of gun violence. Using this framework, we will identify existing community assets to be building blocks of future community-led interventions. To identify existing community assets, we will conduct social network and spatial analyses of the gun violence episodes in our community and use these analyses to identify people and neighbourhood blocks that have been successful in avoiding gun violence. We will conduct qualitative interviews among a sample of individuals in the network that have avoided violence (n=45) and those living or working on blocks that have not been a location of victimisation (n=45) to identify existing assets. Lastly, we will use community-based system dynamics modelling processes to create a computer simulation of the community-level contributors and mitigators of the effects of gun violence that incorporates local population-based based data for calibration. We will engage a multistakeholder group and use themes from the qualitative interviews and the computer simulation to identify feasible community-led interventions. ETHICS AND DISSEMINATION:The Human Investigation Committee at Yale University School of Medicine (#2000022360) granted study approval. We will disseminate study findings through peer-reviewed publications and academic and community presentations. The qualitative interview guides, system dynamics model and group model building scripts will be shared broadly.

OBJECTIVE:To identify county characteristics associated with high versus low well-being among high-poverty counties. DESIGN:Observational cross-sectional study at the county level to investigate the associations of 29 county characteristics with the odds of a high-poverty county reporting population well-being in the top quintile versus the bottom quintile of well-being in the USA. County characteristics representing key determinants of health were drawn from the Robert Wood Johnson Foundation County Health Rankings and Roadmaps population health model. SETTING:Counties in the USA that are in the highest quartile of poverty rate. MAIN OUTCOME MEASURE:Gallup-Sharecare Well-being Index, a comprehensive population-level measure of physical, mental and social health. Counties were classified as having a well-being index score in the top or bottom 20% of all counties in the USA. RESULTS:Among 770 high-poverty counties, 72 were categorised as having high well-being and 311 as having low well-being. The high-well-being counties had a mean well-being score of 71.8 with a SD of 2.3, while the low-well-being counties had a mean well-being score of 60.2 with a SD of 2.8. Among the six domains of well-being, basic access, which includes access to housing and healthcare, and life evaluation, which includes life satisfaction and optimism, differed the most between high-being and low-well-being counties. Among 29 county characteristics tested, six were independently and significantly associated with high well-being (p<0.05). These were lower rates of preventable hospital stays, higher supply of primary care physicians, lower prevalence of smoking, lower physical inactivity, higher percentage of some college education and higher percentage of heavy drinkers. CONCLUSIONS:Among 770 high-poverty counties, approximately 9% outperformed expectations, reporting a collective well-being score in the top 20% of all counties in the USA. High-poverty counties reporting high well-being differed from high-poverty counties reporting low well-being in several characteristics.

This study aimed to investigate the impact of previous maternal migration experiences on left-behind children's (LBC) mental health status and suicidal ideation, and the possible mediating role of parent-child communication. A cross-sectional study among rural children was conducted in Anhui, China, in 2018. LBC who self-reported that (a) their fathers were migrants and (b) they were living with their mothers at the time of the survey were included in this study. The participants were then divided into two subgroups by previous maternal migration experience. Previous maternal migration was associated with worse mental health and a higher prevalence of suicidal ideation among LBC compared with their peers. Healthy communication between children and parents fully mediates the adverse effects caused by previous maternal migration experiences on mental health among LBC, and communication with mother partially mediates the association with suicidal ideation. Communication classes for returning parents offered jointly by governments and schools could be an effective way to mitigate the impacts of maternal migration on child mental health and should be studied.