Federal University of Santa Catarina, Campus Universitário, Trindade, Florianópolis, Santa Catarina, Brazil.
Int J Health Serv. 2021 Apr;51(2):155-166. doi: 10.1177/0020731420979808. Epub 2020 Dec 15.
Research on healthcare inequities has centralized whether marginalized racial, gender, or socioeconomic (SES) groups are afforded equitable access to care, yet scant investigations have focused on how race intersects with other social statuses to shape difficulty accessing health services. Contextual specificity has also been under-researched in this field of knowledge. Data from 59,249 respondents 18 years of age and over from the 2013 Brazilian National Health Survey were analyzed using multilevel regressions models. We test 3 hypotheses: racial, gender, and socioeconomically oppressed groups are each more likely to report difficulty accessing health services (H1); compared to high-SES white men, low-SES Black women report expressively higher frequencies of the outcome (H2); and intersectional healthcare inequities are larger among low-SES Brazilian states (H3). Partially supporting H1 and H2, results suggest that race and SES, but not gender, are each strong predictors of difficulty accessing healthcare, with low-SES Black respondents facing the highest odds of reporting this outcome. Although H3 was not supported, intersectional groups residing in low-SES Brazilian states were more likely to report difficulty accessing healthcare. This study demonstrated that, together with contextual specificity, the intersections of race with other axes of marginalization should be at the forefront of research and policy addressing healthcare inequities.
卫生保健不公平现象的研究集中在边缘化的种族、性别或社会经济地位(SES)群体是否能够公平获得医疗保健,但几乎没有研究关注种族如何与其他社会地位交织在一起,从而影响获得卫生服务的难度。在这一知识领域,具体背景也研究不足。本研究使用多层次回归模型分析了来自 2013 年巴西国家卫生调查的 59249 名 18 岁及以上受访者的数据。我们检验了 3 个假设:种族、性别和社会经济地位受压迫群体更有可能报告获得卫生服务的困难(H1);与高 SES 的白人男性相比,低 SES 的黑人女性报告该结果的频率明显更高(H2);低 SES 的巴西州存在更大的交叉性医疗保健不公平现象(H3)。部分支持 H1 和 H2 的结果表明,种族和 SES 而不是性别,都是获得医疗保健困难的强有力预测因素,低 SES 的黑人受访者报告这种结果的可能性最高。尽管 H3 未得到支持,但居住在低 SES 巴西州的交叉群体更有可能报告获得医疗保健的困难。本研究表明,除了具体背景外,种族与其他边缘化轴线的交叉点应该成为研究和政策解决医疗保健不公平现象的重点。