Resident racial and ethnic composition, neighborhood-level socioeconomic status, and COVID-19 infections in California SNFs.
Autor: | Engeda JC; California Department of Public Health, Healthcare-Associated Infections Program, Richmond, California, USA.; Public Health and Scientific Research, Social & Scientific Systems, Durham, North Carolina, USA., Karmarkar EN; California Department of Public Health, Healthcare-Associated Infections Program, Richmond, California, USA., Mitsunaga TM; California Department of Public Health, Healthcare-Associated Infections Program, Richmond, California, USA., Raymond KL; California Department of Public Health, Office of Health Equity, Sacramento, California, USA., Oh P; California Department of Public Health, Office of Health Equity, Sacramento, California, USA., Epson E; California Department of Public Health, Healthcare-Associated Infections Program, Richmond, California, USA. |
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Jazyk: | angličtina |
Zdroj: | Journal of the American Geriatrics Society [J Am Geriatr Soc] 2023 Jan; Vol. 71 (1), pp. 157-166. Date of Electronic Publication: 2022 Oct 05. |
DOI: | 10.1111/jgs.18076 |
Abstrakt: | 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. (© 2022 The American Geriatrics Society.) |
Databáze: | MEDLINE |
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