Dataset Information

Do racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach

ABSTRACT: Racial/ethnic disparities are among the top-selective underlying determinants associated with the disproportional impact of the COVID-19 pandemic on human mobility and health outcomes. This study jointly examined county-level racial/ethnic differences in compliance with stay-at-home orders and COVID-19 health outcomes during 2020, leveraging two-year geo-tracking data of mobile devices across ~4.4 million point-of-interests (POIs) in the contiguous United States. Through a set of structural equation modeling, this study quantified how racial/ethnic differences in following stay-at-home orders could mediate COVID-19 health outcomes, controlling for state effects, socioeconomics, demographics, occupation, and partisanship. Results showed that counties with higher Asian populations decreased most in their travel, both in terms of reducing their overall POIs’ visiting and increasing their staying home percentage. Moreover, counties with higher White populations experienced the lowest infection rate, while counties with higher African American populations presented the highest case-fatality ratio. Additionally, control variables, particularly partisanship, median household income, percentage of elders, and urbanization, significantly accounted for the county differences in human mobility and COVID-19 health outcomes. Mediation analyses further revealed that human mobility only statistically influenced infection rate but not case-fatality ratio, and such mediation effects varied substantially among racial/ethnic compositions. Last, robustness check of racial gradient at census block group level documented consistent associations but greater magnitude. Taken together, these findings suggest that US residents’ responses to COVID-19 are subject to an entrenched and consequential racial/ethnic divide.

SUBMITTER: Hu S

PROVIDER: S-EPMC8584966 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:IntroductionTelehealth can potentially improve the quality of healthcare through increased access to primary care. While telehealth use increased during the COVID-19 pandemic, racial/ethnic disparities in the use of telemedicine persisted during this period. Little is known about the relationship between health coverage and patient race/ethnicity after the onset of the COVID-19 pandemic.ObjectiveThis study examines how differences in patient race/ethnicity and health coverage are associated with the number of in-person vs. telehealth visits among patients with chronic conditions before and after California's stay-at-home order (SAHO) was issued on 19 March 2020.MethodsWe used weekly patient visit data (in-person (N = 63, 491) and telehealth visits (N = 55, 472)) from seven primary care sites of an integrated, multi-specialty medical group in Los Angeles County that served a diverse patient population between January 2020 and December 2020 to examine differences in telehealth visits reported for Latino and non-Latino Asian, Black, and white patients with chronic conditions (type 2 diabetes, pre-diabetes, and hypertension). After adjusting for age and sex, we estimate differences by race/ethnicity and the type of insurance using an interrupted time series with a multivariate logistic regression model to study telehealth use by race/ethnicity and type of health coverage before and after the SAHO. A limitation of our research is the analysis of aggregated patient data, which limited the number of individual-level confounders in the regression analyses.ResultsOur descriptive analysis shows that telehealth visits increased immediately after the SAHO for all race/ethnicity groups. Our adjusted analysis shows that the likelihood of having a telehealth visit was lower among uninsured patients and those with Medicaid or Medicare coverage compared to patients with private insurance. Latino and Asian patients had a lower probability of telehealth use compared with white patients.DiscussionTo address access to chronic care management through telehealth, we suggest targeting efforts on uninsured adults and those with Medicare or Medicaid coverage, who may benefit from increased telehealth use to manage their chronic care.

Project description:ObjectiveHealth disparities are pervasive in nursing homes (NHs), but disparities in NH end-of-life (EOL) care (ie, hospital transfers, place of death, hospice use, palliative care, advance care planning) have not been comprehensively synthesized. We aim to identify differences in NH EOL care for racial/ethnic minority residents.DesignA systematic review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and registered in PROSPERO (CRD42020181792).Setting and participantsOlder NH residents who were terminally ill or approaching the EOL, including racial/ethnic minority NH residents.MethodsThree electronic databases were searched from 2010 to May 2020. Quality was assessed using the Newcastle-Ottawa Scale.ResultsEighteen articles were included, most (n = 16) were good quality and most (n = 15) used data through 2010. Studies varied in definitions and grouping of racial/ethnic minority residents. Four outcomes were identified: advance care planning (n = 10), hospice (n = 8), EOL hospitalizations (n = 6), and pain management (n = 1). Differences in EOL care were most apparent among NHs with higher proportions of Black residents. Racial/ethnic minority residents were less likely to complete advance directives. Although hospice use was mixed, Black residents were consistently less likely to use hospice before death. Hispanic and Black residents were more likely to experience an EOL hospitalization compared with non-Hispanic White residents. Racial/ethnic minority residents experienced worse pain and symptom management at the EOL; however, no articles studied specifics of palliative care (eg, spiritual care).Conclusions and implicationsThis review identified NH health disparities in advance care planning, EOL hospitalizations, and pain management for racial/ethnic minority residents. Research is needed that uses recent data, reflective of current NH demographic trends. To help reduce EOL disparities, language services and cultural competency training for staff should be available in NHs with higher proportions of racial/ethnic minorities.

Dataset Information

Do racial and ethnic disparities in following stay-at-home orders influence COVID-19 health outcomes? A mediation analysis approach

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets