疗养院的压力伤害:使用国家数据调查种族/民族差异

Q2 Health Professions
Lara Dhingra, Clyde Schechter, Stephanie DiFiglia, Karen Lipson, Russell Portenoy
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引用次数: 0

摘要

背景:在美国,黑人疗养院(NH)的居民比白人居民有更高的压力损伤(PI)率。尽管一些研究将此归因于NHs中黑人居民的比例相对较高,结果不佳,资源有限,但与pi相关的因素及其在NHs内部和内部的后果仍然知之甚少。此外,人们对不同种族和民族居民的pi知之甚少。目的:使用2016 - 2017年的四个国家数据集,我们评估了美国NHs在非西班牙裔白人、非西班牙裔黑人、西班牙裔、亚洲人、美洲印第安人或阿拉斯加原住民、夏威夷原住民或其他太平洋岛民之间pi相关结果的差异,并阐明了居民、设施和社区水平特征对这些结果的影响。方法:计算PI的年发病率、PI愈合的概率、PI相关疼痛的患病率和镇痛药处方。我们确定了这些结果与种族/民族之间的双变量关联,以及每个结果与多个潜在协变量之间的双变量关联。在调整协变量的同时,多变量分析评估了每个结果与种族/民族之间的关联。研究结果:在双变量分析中,白人的2、3、4期和不可分期pi的年发病率低于黑人和西班牙裔,与美洲印第安人或阿拉斯加原住民相似,高于亚洲人、夏威夷原住民或其他太平洋岛民。在多变量分析中,PI发病率比率仅在美洲印第安人和阿拉斯加原住民中较高,并且这种差异与nhh水平变量—种族和少数民族居民的比例有关。其他结果没有因种族/民族而异。进行了一项调整的探索性分析,以帮助解释双变量和多变量分析之间的差异,并揭示了nh内的重要差异:与白人相比,黑人、美洲印第安人或阿拉斯加土著妇女的PI发病率比更高。局限性:我们的研究结果是相关的,可能受到未评估变量和行政数据限制的影响。含义:在美国国民保健服务中,PIs的年发病率因种族/民族而异。设施特征强烈影响这种变化。在种族和少数民族居民中较高的发病率也可以用NHs内部的差异来解释,并且在包括黑人、美洲印第安人或阿拉斯加原住民的女性居民在内的亚群体中也有显著的发病率。未来的研究应该单独评估性别,并探索跨nh和nh内的差异,以确定是否存在结构性不平等、偏见和不同的护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pressure Injuries in Nursing Homes: Investigating Racial/Ethnic Differences Using National Data
Context: In the United States, Black nursing home (NH) residents have higher rates of pressure injury (PI) than White residents. Although some studies ascribe this to a relatively high proportion of Black residents in NHs with poor outcomes and limited resources, the factors that associate with PIs and their consequences across and within NHs remain poorly understood. Also, little is known about PIs among residents of differing races and ethnicities. Objectives: Using four national datasets from 2016–2017, we evaluated U.S. NHs to characterize differences in PI-related outcomes among non-Hispanic Whites, non-Hispanic Blacks, Hispanics, Asians, American Indian or Alaska Natives, and Native Hawaiian or Other Pacific Islanders, and clarified the impact of resident-, facility-, and community-level characteristics on these outcomes. Methods: We calculated the annual incidence rate of PIs, the probability of PI healing, and the prevalence of PI-associated pain and analgesic prescription. We determined the bivariate associations between each of these outcomes and race/ethnicity, and between each outcome and multiple potential covariates. Multivariable analyses then evaluated the associations between each outcome and race/ethnicity while adjusting for covariates. Findings: In the bivariate analyses, the annual incidence rate of stage 2, 3, 4, and unstageable PIs for Whites was lower than Blacks and Hispanics, similar to American Indians or Alaska Natives, and higher than Asians and Native Hawaiians or Other Pacific Islanders. In the multivariable analyses, the PI incidence rate ratio was higher only among American Indians or Alaska Natives, and this difference was associated with a NH-level variable—the proportion of racial and ethnic minority residents. Other outcomes did not vary by race/ethnicity. An adjusted exploratory analysis was conducted to help explain the difference between the bivariate and multivariable analyses and revealed an important within-NH difference: Compared to Whites, the PI incidence rate ratios were higher in women who were Black, or American Indian or Alaska Native. Limitations: Our findings are correlational and may be impacted by unevaluated variables and the limitations of administrative data. Implications: In U.S. NHs, the annual incidence rate of PIs varies by race/ethnicity. Facility characteristics strongly influence this variation. Higher incidence rate ratios among racial and ethnic minority residents also are explained by differences within NHs and are striking among subgroups, including female residents who are Black, or American Indian or Alaska Native. Future research should evaluate the sexes separately and explore both across-NH and within-NH differences to determine whether there are structural inequities, bias, and disparate care.
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CiteScore
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