George Mason University, School of Business, USA.
George Mason University, Department of Geography and Geoinformation Science, USA.
Public Health. 2020 May;182:95-101. doi: 10.1016/j.puhe.2020.02.004. Epub 2020 Mar 23.
To evaluate distribution of hospital-level cancer diagnosis and treatment technologies along dimensions of racial residential segregation.
Cross-sectional analysis of residential segregation and availability of technologies associated with cancer diagnosis and treatment.
American Hospital Association data were merged with American Community Survey data, and hospital was the unit of analysis. Isolation index and Atkinson's index were calculated for racial residential segregation for the census tract in which the hospital is located based on the composite census block groups. Logistic regression was used to model presence of cancer technologies as a function of percent below poverty (scaled 1-10), number of neighboring hospitals, and rural status.
Segregation measured by isolation index was associated with the availability of some technologies, independent of percentage below 125% poverty line, number of neighboring hospitals, and rural status. Diagnostic cancer technologies, such as CT scan (odds ratio [OR] = 0.928, 95% confidence interval [CI]: 0.894, 0.964), ultrasound (OR = 0.961, 95% CI: 0.927, 0.997), mammography (OR = 0.943, 95% CI: 0.914, 0.974), optical colonoscopy (OR = 0.932, 95% CI: 0.904, 0.961), and full-field digital mammography (OR = 0.948, 95% CI: 0.920, 0.977) and therapeutic cancer technology such as chemo therapy (OR = 0.963, 95% CI: 0.934, 0.992) appear to be less available in neighborhoods with higher isolation index. However, when segregation is measured by Atkinson's index, CT scan (OR = 1.064, 95% CI: 1.010, 1.121), ultrasound (OR = 1.087, 95% CI: 1.035, 1.141), mammography (OR = 1.094, 95% CI: 1.049, 1.141), and optical colonoscopy (OR = 1.053, 95% CI: 1.012, 1.095) are more available in neighborhoods with higher Atkinson's index.
These results suggest that cancer diagnostic capabilities in segregated areas are in the pathway between residential segregation and cancer treatment process, and future studies should evaluate individual-level associations.
评估癌症诊断和治疗技术在种族居住隔离维度上的分布情况。
对与癌症诊断和治疗相关的技术的居住隔离和可获得性进行横断面分析。
将美国医院协会数据与美国社区调查数据合并,并以医院为分析单位。根据综合普查街区组,计算医院所在的普查区的种族居住隔离的隔离指数和阿特金森指数。使用逻辑回归模型,将癌症技术的存在作为贫困比例(1-10 分制)、邻近医院数量和农村状况的函数进行建模。
以隔离指数衡量的隔离与一些技术的可获得性有关,与贫困线以下 125%的比例、邻近医院数量和农村状况无关。诊断性癌症技术,如 CT 扫描(比值比[OR] = 0.928,95%置信区间[CI]:0.894,0.964)、超声(OR = 0.961,95%CI:0.927,0.997)、乳房 X 光检查(OR = 0.943,95%CI:0.914,0.974)、光学结肠镜检查(OR = 0.932,95%CI:0.904,0.961)和全数字化乳房 X 线摄影(OR = 0.948,95%CI:0.920,0.977)以及治疗性癌症技术,如化疗(OR = 0.963,95%CI:0.934,0.992),在隔离指数较高的社区似乎供应不足。然而,当以阿特金森指数衡量隔离时,CT 扫描(OR = 1.064,95%CI:1.010,1.121)、超声(OR = 1.087,95%CI:1.035,1.141)、乳房 X 光检查(OR = 1.094,95%CI:1.049,1.141)和光学结肠镜检查(OR = 1.053,95%CI:1.012,1.095)在阿特金森指数较高的社区更易获得。
这些结果表明,隔离地区的癌症诊断能力处于居住隔离与癌症治疗过程之间的关系链中,未来的研究应该评估个体层面的关联。