医疗保险覆盖改善了美国贫困地区的死亡率

Y. Puckett
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摘要

目标:获得护理和贫穷与乳腺癌风险较高有关,但它们对乳腺癌死亡的影响尚未得到充分评估。我们假设,对大型数据库数据的分析将进一步阐明社会经济地位与乳腺癌死亡率之间的关系。方法:使用监测、流行病学和最终结果(SEER)数据库来识别2006-2011年间诊断的浸润性导管癌病例,以及反映五年内乳腺癌死亡的存在或不存在的数据。分析了40-64岁女性和65岁以上女性两个年龄组。从美国社区调查中获得了年度县级医院率、流动护理设施率、护理/住宿护理设施率、农村商业率、人口密度和感兴趣年龄组的妇女人数。结果:在贫困率方面,第三四分位数县40-64岁妇女的发病率死亡率比第一个四分位数县高13% (99% CI 3%, 25%),第四个四分位数县比第一个四分位数县高19% (7%,35%)(p < 0.01);第二个四分位数的县没有显示出更高的发病率死亡率(p > 0.01)。65岁以上妇女的死亡率在贫困率四分位数之间没有差异(每次评估的p > 0.01)。每10万人中医院数量增加50%,40-64岁和65岁以上妇女的死亡率分别增加8%(5%,11%)和5%(1%,8%),这可能反映出在医院更好地确定了死亡原因。其他比率和人口密度的差异未检测到影响(各分析p > 0.01)。结论:贫困率较高的县40-64岁妇女的乳腺癌死亡率较高,但65岁以上妇女的乳腺癌死亡率不高。与医疗保险相关的普遍覆盖与贫困对乳腺癌死亡率没有明显影响有关。
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Medicare Coverage Improves Mortality Outcomes in Regions of Poverty in United States
Objectives: Access to care and poverty have been associated with a higher risk of breast cancer, but their impact on breast cancer death has not been fully evaluated. We hypothesized that analysis of data from a large database would further elucidate the association between socioeconomic status and breast cancer mortality. Methods: The Surveillance, Epidemiology, and End Results (SEER) database was used to identify cases of invasive ductal carcinoma diagnosed between 2006-2011, as well as data reflecting the presence or absence of a breast cancer death within five years. Two age groups, 40-64 year old women, and 65+ year old women, were analyzed. From the American Community Survey were acquired annual county level hospital rates, ambulatory care facility rates, nursing/residential care facility rates, rural business rates, population densities, and counts of women in the age groups of interest. Results: With respect to poverty rates, incidence based mortality rates for 40-64 year old women were 13% (99% CI 3%, 25%) higher for counties in the third quartile and 19% (7%, 35%) higher for counties in the fourth quartile (p < 0.01) than for counties in the first quartile; counties in the second quartile did not show higher incidence mortality rates (p > 0.01). Mortality rates for 65+ year old women did not differ among poverty rate quartiles (p > 0.01 for each assessment). A 50% increase in hospitals per 100,000 persons was associated with 8% (5%, 11%) and 5% (1%, 8%) increases in mortality rates for 40-64 y and 65+ y women, respectively, likely reflecting better ascertainment of causes of death at hospitals. Impacts of differences in other rates and population density were not detected (p > 0.01 for each analysis). Conclusion: Counties with higher poverty rates have increased breast cancer mortality rates for 40-64 y women, but not for 65+ y women. Universal coverage associated with Medicare is associated with the absence of an apparent effect of poverty upon breast cancer mortality.
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