The Association of Where Patients with Prostate Cancer Live and Receive Care on Racial Treatment Inequities

Noah Hammarlund, Sarah K Holt, Ruth Etzioni, Danté Morehead, Jenney R Lee, Erika M Wolff, Yohali Burrola-Mendez, Liz Sage, John L Gore, Yaw A Nyame
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Abstract

Black individuals are less likely to be treated for prostate cancer even though they are more than twice as likely to die compared to White individuals. The complex causes of these inequities are influenced by social and structural factors, including racism, which contribute to the differential delivery of care. This study investigates how factors related to the location of where individuals live and receive care affect treatment inequities for prostate cancer between Black and White individuals. We hypothesize that both location and race independently influence treatment inequities. We used data from the Surveillance, Epidemiology, and End Results (SEER) cancer registry linked to Medicare claims to estimate the treatment inequity, as defined by differences in radiation or radical prostatectomy. Fixed effects at the physician, hospital, and patient ZIP code levels were incorporated to adjust for all time-invariant factors at these levels. The results indicate that residential location-related factors explain only half of the treatment inequity, while provider- and hospital-level factors do not significantly account for disparities. Even after accounting for all time-invariant factors, significant differences in treatment rates persist. The study highlights the importance of understanding race as a social construct and racism as a systemic and structural phenomenon in addressing treatment inequities. These findings provide a necessary step toward understanding equitable care and designing interventions to solve this inequity.
前列腺癌患者居住和接受治疗的地点与种族治疗不平等的关系
黑人接受前列腺癌治疗的可能性较低,尽管他们死亡的可能性是白人的两倍多。造成这些不平等现象的复杂原因受到包括种族主义在内的社会和结构性因素的影响,这些因素导致了医疗服务的差异。本研究调查了与个人居住和接受治疗的地点有关的因素如何影响黑人和白人在前列腺癌治疗方面的不平等。我们假设,地点和种族都会独立影响治疗的不平等。我们使用了与医疗保险(Medicare)索赔相关联的癌症监测、流行病学和最终结果(SEER)登记处的数据来估计治疗不公平的情况,即放射治疗或根治性前列腺切除术的差异。研究纳入了医生、医院和患者邮政编码层面的固定效应,以调整这些层面的所有时变因素。结果表明,与居住地相关的因素只能解释一半的治疗不公平现象,而医疗机构和医院层面的因素并不能显著解释治疗不公平现象。即使考虑了所有时间不变因素,治疗率的显著差异依然存在。这项研究强调,在解决治疗不公平问题时,必须将种族理解为一种社会建构,将种族主义理解为一种系统性和结构性现象。这些发现为理解公平护理和设计干预措施以解决这种不公平现象迈出了必要的一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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