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
相关论文
共 28 条
  • [21] Racial and Ethnic Disparities in Hospital Admissions from COVID-19: Determining the Impact of Neighborhood Deprivation and Primary Language
    Ingraham, Nicholas E.
    Purcell, Laura N.
    Karam, Basil S.
    Dudley, R. Adams
    Usher, Michael G.
    Warlick, Christopher A.
    Allen, Michele L.
    Melton, Genevieve B.
    Charles, Anthony
    Tignanelli, Christopher J.
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2021, 36 (11) : 3462 - 3470
  • [22] Analyzing Spatial-Temporal Impacts of Neighborhood Socioeconomic Status Variables on COVID-19 Outbreaks as Potential Social Determinants of Health
    Tsou, Ming-Hsiang
    Xu, Jian
    Lin, Chii-Dean
    Daniels, Morgan
    Embury, Jessica
    Park, Jaehee
    Ko, Eunjeong
    Gibbons, Joseph
    ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS, 2023, 113 (04) : 891 - 912
  • [23] Inclusion of Race and Ethnicity With Neighborhood Socioeconomic Deprivation When Assessing COVID-19 Hospitalization Risk Among California Veterans Health Administration Users
    Wong, Michelle S.
    Brown, Arleen F.
    Washington, Donna L.
    JAMA NETWORK OPEN, 2023, 6 (03) : E231471
  • [24] Neighborhood-level economic characteristics and depression and PTSD symptoms among Houstonians who have experienced Hurricane Harvey and COVID-19
    Cohen, Gregory H.
    Wang, Ruochen
    Rosenberg, Samuel B.
    Sampson, Laura
    Lowe, Sarah R.
    Cabral, Howard
    Ruggiero, Kenneth
    Galea, Sandro
    PSYCHIATRY RESEARCH, 2024, 333
  • [25] What explains the socioeconomic status-health gradient? Evidence from workplace COVID-19 infections
    Godefroy, Raphael
    Lewis, Joshua
    SSM-POPULATION HEALTH, 2022, 18
  • [26] Racial and socioeconomic status differences in stress, posttraumatic growth, and mental health in an older adult cohort during the COVID-19 pandemic
    Willey, Brea
    Mimmack, Kayden
    Gagliardi, Geoffroy
    Dossett, Michelle L.
    Wang, Sharon
    Udeogu, Onyinye J.
    Donovan, Nancy J.
    Gatchel, Jennifer R.
    Quiroz, Yakeel T.
    Amariglio, Rebecca
    Liu, Cindy H.
    Hyun, Sunah
    ElTohamy, Abdelrahman
    Rentz, Dorene
    Sperling, Reisa A.
    Marshall, Gad A.
    Vannini, Patrizia
    ECLINICALMEDICINE, 2022, 45
  • [27] Ethnic, socioeconomic, and demographic determinants of generalized anxiety disorder and fear of COVID-19 among teenagers in California, United States: a cross-sectional analysis
    Kumra, Elina
    Patange, Amit
    FRONTIERS IN EDUCATION, 2025, 9
  • [28] Health Inequity in Georgia During the COVID-19 Pandemic: An Ecological Analysis Assessing the Relationship Between County-Level Racial/Ethnic and Economic Polarization Using the ICE and SARS-CoV-2 Cases, Hospitalizations, and Deaths in Georgia as of October 2020
    Eichenbaum, Amit
    Tate, Allan D.
    HEALTH EQUITY, 2022, 6 (01) : 230 - 239