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

被引:3
|
作者
Engeda, Joseph C. [1 ,2 ]
Karmarkar, Ellora N. [1 ]
Mitsunaga, Tisha M. [1 ]
Raymond, Kristal L. [3 ]
Oh, Peter [3 ]
Epson, Erin [1 ]
机构
[1] Calif Dept Publ Hlth, Healthcare Associated Infect Program, 850 Marina Bay Pkwy, Richmond, CA 94804 USA
[2] Publ Hlth & Sci Res Social & Sci Syst, Durham, NC USA
[3] Calif Dept Publ Hlth, Off Hlth Equ, Sacramento, CA USA
关键词
COVID; disparities; nursing home; socioeconomic status; NURSING-HOME QUALITY; DISPARITIES;
D O I
10.1111/jgs.18076
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
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.
引用
收藏
页码:157 / 166
页数:10
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