Gibbons Joseph, Yang Tse-Chuan
Department of Sociology, 5500 Campanile Drive, San Diego State University.
Department of Sociology, 1400 Washington Ave, University at Albany.
Appl Spat Anal Policy. 2018 Mar;11(1):37-58. doi: 10.1007/s12061-016-9211-5. Epub 2016 Oct 11.
An ongoing obstacle in dealing with minority health disparities is discriminatory behavior from healthcare practitioners, also known as medical discrimination. It is not clear, however, if the effects of medical discriminations onto health are constant across space. For example, there is evidence to suspect minorities in racially segregated neighborhoods suffer less from discrimination compared to those living elsewhere. To determine the presence of spatial heterogeneity underlying medical discrimination, we implement logistic geographically weighted regression (GWR) using individual data in the city of Philadelphia from the 2006 and 2008 Public Health Management Corporation's Southeastern Pennsylvania Household Health Surveys. Evaluating the potential role residential segregation has in offsetting medical discrimination, we compare the GWR results to tract data from the 2005-2009 American Community Survey. Through this comparison, we find that the effects of medical discrimination on self-rated health are weaker in magnitude in areas that are mostly minority. However, evidence of direct health benefits for minorities in segregated communities is inconclusive. Thus, while we cannot say living in segregated neighborhoods leads to better minority health, the sting of medical discrimination can be weaker in these places. These results emphasize the importance of local variation, even within a city like Philadelphia, challenging the aspatial one-model-fits-all approach normally found in population studies.
在应对少数群体健康差异方面,一个持续存在的障碍是医疗从业者的歧视行为,也称为医疗歧视。然而,尚不清楚医疗歧视对健康的影响在不同地区是否恒定。例如,有证据怀疑,与居住在其他地方的少数群体相比,居住在种族隔离社区的少数群体遭受的歧视较少。为了确定医疗歧视背后空间异质性的存在,我们使用2006年和2008年公共卫生管理公司宾夕法尼亚州东南部家庭健康调查中费城的个人数据,实施逻辑地理加权回归(GWR)。为了评估居住隔离在抵消医疗歧视方面的潜在作用,我们将GWR结果与2005 - 2009年美国社区调查的区域数据进行比较。通过这种比较,我们发现,在少数群体居多的地区,医疗歧视对自评健康的影响在程度上较弱。然而,关于隔离社区中少数群体直接健康益处的证据尚无定论。因此,虽然我们不能说居住在隔离社区会带来更好的少数群体健康,但在这些地方医疗歧视的刺痛可能会较弱。这些结果强调了局部差异的重要性,即使在像费城这样的城市中也是如此,这对人口研究中通常采用的非空间一刀切方法提出了挑战。