Rory Meyers College of Nursing, New York University, New York, NY, USA.
Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
J Am Med Dir Assoc. 2021 Apr;22(4):893-898.e2. doi: 10.1016/j.jamda.2021.02.014. Epub 2021 Feb 22.
Coronavirus disease 2019 (COVID-19) has disproportionately impacted nursing homes (NHs) with large shares of Black residents. We examined the associations between the proportion of Black residents in NHs and COVID-19 infections and deaths, accounting for structural bias (operationalized as county-level factors) and stratifying by urbanicity/rurality.
This was a cross-sectional observational cohort study using publicly available data from the LTCfocus, Centers for Disease Control and Prevention Long-Term Care Facility COVID-19 Module, and the NYTimes county-level COVID-19 database. Four multivariable linear regression models omitting and including facility characteristics, COVID-19 burden, and county-level fixed effects were estimated.
In total, 11,587 US NHs that reported data on COVID-19 to the Centers for Disease Control and Prevention and had data in LTCfocus and NYTimes from January 20, 2020 through July 19, 2020.
Proportion of Black residents in NHs (exposure); COVID-19 infections and deaths (main outcomes).
The proportion of Black residents in NHs were as follows: none= 3639 (31.4%), <20% = 1020 (8.8%), 20%-49.9% = 1586 (13.7%), ≥50% = 681 (5.9%), not reported = 4661 (40.2%). NHs with any Black residents showed significantly more COVID-19 infections and deaths than NHs with no Black residents. There were 13.6 percentage points more infections and 3.5 percentage points more deaths in NHs with ≥50% Black residents than in NHs with no Black residents (P < .001). Although facility characteristics explained some of the differences found in multivariable analyses, county-level factors and rurality explained more of the differences.
It is likely that attributes of place, such as resources, services, and providers, important to equitable care and health outcomes are not readily available to counties where NHs have greater proportions of Black residents. Structural bias may underlie these inequities. It is imperative that support be provided to NHs that serve greater proportions of Black residents while considering the rurality of the NH setting.
2019 年冠状病毒病(COVID-19)对养老院(NHs)造成了不成比例的影响,这些养老院有大量的黑人居民。我们研究了 NHs 中黑人居民比例与 COVID-19 感染和死亡之间的关联,同时考虑了结构偏差(表现为县级因素),并按城市/农村地区进行了分层。
这是一项使用来自 LTCfocus、疾病控制和预防中心长期护理设施 COVID-19 模块以及 NYTimes 县级 COVID-19 数据库的公开数据进行的横断面观察性队列研究。估计了四个多元线性回归模型,这些模型排除和包括设施特征、COVID-19 负担和县级固定效应。
共有 11587 家向疾病控制和预防中心报告 COVID-19 数据的美国 NHs,并且在 LTCfocus 和 NYTimes 中有数据,数据时间为 2020 年 1 月 20 日至 2020 年 7 月 19 日。
NHs 中黑人居民的比例(暴露);COVID-19 感染和死亡(主要结果)。
NHs 中黑人居民的比例如下:无黑人居民=3639(31.4%),黑人居民比例<20%=1020(8.8%),黑人居民比例 20%-49.9%=1586(13.7%),黑人居民比例≥50%=681(5.9%),未报告=4661(40.2%)。有任何黑人居民的 NHs 比没有黑人居民的 NHs 有更多的 COVID-19 感染和死亡。黑人居民比例≥50%的 NHs 比没有黑人居民的 NHs 多 13.6 个百分点的感染和 3.5 个百分点的死亡(P<0.001)。尽管设施特征在多变量分析中解释了部分差异,但县级因素和农村地区解释了更多的差异。
NHs 所在的县的资源、服务和提供者等对公平护理和健康结果很重要的属性,很可能对黑人居民比例较高的县来说不容易获得。结构性偏见可能是造成这些不平等的原因。当考虑 NHs 的农村环境时,必须向黑人居民比例较高的 NHs 提供支持。