Resident racial and ethnic composition, neighborhood-level socioeconomic status, and COVID-19 infections in California SNFs

J Am Geriatr Soc. 2023 Jan;71(1):157-166. doi: 10.1111/jgs.18076. Epub 2022 Oct 5.

Abstract

Background: In California, >29,000 residents in skilled nursing facility (SNFs) were diagnosed with novel coronavirus disease 2019 (COVID-19) between March 2020 and November 2020. Prior research suggests that SNFs serving racially and ethnically minoritized residents often have fewer resources and lower quality of care. We performed a cross-sectional analysis of COVID-19 incidence among residents in California SNFs, assessing the association of SNF-level racial and ethnic compositions and facility- and neighborhood-level (census tract- and county-level) indicators of socioeconomic status (SES).

Methods: SNFs were grouped based on racial and ethnic composition using data from the Centers for Medicare and Medicaid Services; categories included SNFs with ≥88% White residents, SNFs with ≥32% Black or Latinx residents, SNFs with ≥32% Asian residents, or SNFs not serving a high proportion of any racial and ethnic composition (mixed). SNF resident-level COVID-19 infection data were obtained from the National Healthcare Safety Network from May 25, 2020 to August 16, 2020. Multilevel mixed-effects negative binomial regressions were used to estimate incidence rate ratios (IRR) for confirmed COVID-19 infections among residents.

Results: Among 971 SNFs included in our sample, 119 (12.3%) had ≥88% White residents; 215 (22.1%) had ≥32% Black or Latinx residents; 78 (8.0%) had ≥32% Asian residents; and 559 (57.6%) were racially and ethnically mixed. After adjusting for confounders, SNFs with ≥32% Black or Latinx residents (IRR = 2.40 [95% CI = 1.56, 3.68]) and SNFs with mixed racial and ethnic composition (IRR = 2.12 [95% CI = 1.49, 3.03]) both had higher COVID-19 incidence rates than SNFs with ≥88% White residents. COVID-19 incidence rates were also found to be higher in SNFs with low SES neighborhoods compared to those in high SES neighborhoods.

Conclusion: Public health personnel should consider SNF- and neighborhood-level factors when identifying facilities to prioritize for COVID-19 outbreak prevention and control.

Keywords: COVID; disparities; nursing home; socioeconomic status.

MeSH terms

  • Aged
  • COVID-19* / epidemiology
  • California / epidemiology
  • Cross-Sectional Studies
  • Humans
  • Medicare
  • Residential Segregation
  • Skilled Nursing Facilities
  • Social Class
  • United States / epidemiology