种族/族裔和健康的社会决定因素及其对接受适当结肠癌化疗的影响。

Erica Dobbs, E. C. Tobin, Staci Deslich, Bryan K. Richmond
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引用次数: 0

摘要

简介尽管美国对结直肠癌的认识有所提高,治疗方法也有所改善,但健康的社会决定因素(SDH)在结直肠癌的治疗结果中仍扮演着重要角色。我们试图调查 SDH 与 III 期结肠癌患者适当使用辅助化疗之间的关系。方法在这项回顾性研究中,我们使用了国家癌症数据库 (NCDB) 中的数据。报告了描述性统计,包括连续变量的均值和 95% 置信区间,以及分类变量的频率和比例。使用 Wilcoxon 秩和检验或 Kruskal-Wallis 检验进行单变量假设检验,以确定与治疗相关的分类水平因素,并使用回归分析进行多变量分析:大都会非西班牙裔白人患者接受治疗的比例(69.7%)低于大都会非西班牙裔黑人患者(73.4%)(P < .001)。年龄越大,接受化疗的可能性越低,65 岁以上患者接受化疗的可能性比 65 岁以下患者降低 83% (P < .001)。与拥有私人保险的患者相比,医疗补助患者接受化疗的可能性降低了47%,医疗保险患者接受化疗的可能性降低了40%(P < .001)。与居住在大都会地区的患者相比,农村患者接受化疗的可能性更高(OR 1.42,1.32-2.52,P < .001),城市患者也是如此(OR 1.26,1.20-1.31,P < .001)。种族与接受化疗的差异无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Race/Ethnicity and Social Determinants of Health and Their Impact on Receiving Appropriate Chemotherapy for Colon Cancer.
INTRODUCTION Despite the heightened understanding and improved treatment for colorectal cancer in the United States, social determinants of health (SDH) play a significant role in the colorectal cancer outcomes. We sought to investigate the relationship between SDH and appropriate utilization of adjuvant chemotherapy in stage III colon cancer. METHODS For this retrospective study, we utilized data from the National Cancer Data Base (NCDB). Descriptive statistics are reported, including means and 95% confidence intervals for continuous variables and frequency and proportions for categorical variables. Univariate hypothesis testing to identify categorical level factors associated with treatment used Wilcoxon rank sum or Kruskal-Wallis tests, with multivariate analyses performed using regression analysis. RESULTS Significant differences were as follows: Metro-non-Hispanic White patients received treatment less frequently (69.7%) when compared to Metro-non-Hispanic Black patients (73.4%) (P < .001). Increasing age was a negative predictor of likelihood to receive with those over 65 years old having an 83% decrease in likelihood to receive chemotherapy when compared to those under 65 (P < .001). Medicaid patients were 47% less likely and Medicare patients were 40% less likely to receive chemotherapy when compared to those with private insurance (P < .001). Rural patients were statistically more likely to receive chemotherapy (OR 1.42, 1.32-2.52, P < .001) as were urban patients, (OR 1.26, 1.20-1.31, P < .001) when compared to patients residing in metro areas. CONCLUSION Age, living in a Metro area, and government insurance status at diagnosis are negatively correlated with the likelihood of receiving chemotherapy. Race was not associated with differences in receiving chemotherapy.
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