种族间癌症筛查差异的邮政编码水平分析

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Carla Barberan Parraga , Roshni Singh , Rachel Lin , Leonardo Tamariz , Ana Palacio
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引用次数: 0

摘要

背景癌症结直肠癌筛查可以通过早期识别来预防疾病。CRC筛查中存在的差异与种族、社会经济地位、保险甚至地理等因素有关。我们的研究深入探讨了与邮政编码制表区相关的社会决定因素如何影响CRC筛查。材料和方法我们在邮政编码水平上按种族对CRC筛查进行了回顾性横断面研究,评估了有影响力的社会决定因素,如社会剥夺指数(SDI)。我们使用了美国疾病控制与预防中心500个城市项目(2016-2019)、PLACES项目(2020)和美国社区调查(2019)的公开数据。我们对种族、收入、健康保险、体检和SDI进行了多变量和验证性因素分析。结果SDI三分位数的增加与黑人或西班牙裔的可能性较高以及家庭收入中位数的降低有关(P<;.01)。SDI的三分位数中定期检查就诊率较低(P<:.01)。多变量分析显示,黑人、西班牙籍、收入较低、没有保险、缺乏定期检查,SDI增加与CRC筛查减少有关。在验证性因素分析中,我们发现SDI和获得保险是与CRC筛查减少最相关的变量。结论我们的研究结果表明,影响一个地区CRC筛查率的前两个因素是社会剥夺指数和获得医疗保健的机会。这些数据可能有助于实施针对社会障碍的干预措施,以进一步促进弱势社区的CRC筛查,并通过早期筛查降低总体死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Colorectal Cancer Screening Disparities Among Race: A Zip Code Level Analysis

Background

Colorectal cancer (CRC) screening can prevent disease by early identification. Existing disparities in CRC screening have been associated with factors including race, socioeconomic status, insurance, and even geography. Our study takes a deeper look into how social determinants related to zip code tabulation areas affect CRC screenings.

Materials and Methods

We conducted a retrospective cross-sectional study of CRC screenings by race at a zip code level, evaluating for impactful social determinant factors such as the social deprivation index (SDI). We used publicly available data from CDC 500 Cities Project (2016-2019), PLACES Project (2020), and the American Community Survey (2019). We conducted multivariate and confirmatory factor analyses among race, income, health insurance, check-up visits, and SDI.

Results

Increasing the tertile of SDI was associated with a higher likelihood of being Black or Hispanic, as well as decreased median household income (P < .01). Lower rates of regular checkup visits were found in the third tertile of SDI (P < .01). The multivariate analysis showed that being Black, Hispanic, lower income, being uninsured, lack of regular check-ups, and increased SDI were related to decreased CRC screening. In the confirmatory factor analysis, we found that SDI and access to insurance were the variables most related to decreased CRC screening.

Conclusion

Our results reveal the top 2 factors that impact a locality's CRC screening rates are the social deprivation index and access to health care. This data may help implement interventions targeting social barriers to further promote CRC screenings within disadvantaged communities and decrease overall mortality via early screening.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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