DISEASE-SPECIFIC CONTRIBUTIONS TO GEOGRAPHICAL DISPARITIES IN MORTALITY AMONG MEDICARE BENEFICIARIES

疾病特异性因素对医疗保险受益人死亡率地域差异的影响

阅读:2

Abstract

Improving Life expectancy (LE) in the LE-lagging states could significantly improve overall LE and eliminate health inequalities in the United States. We analyzed the disparity in mortality rates between eight states with high and low LE at 65 using individual morbidity trajectories in Medicare administrative claims data from 2000-2020. Disease-specific contributions were identified using the Powers-Yun decomposition technique for hazard functions (the Blinder-Oaxaca algorithm extended for time-to-event data). This approach identifies two effects per disease: exposure (the disparity is generated because of the difference in the prevalence of a disease in two compared populations) and vulnerability (the disparity is generated because of the difference in mortality in the subpopulation with the disease). Two population groups (80-) and (80+) separated by age 80 were analyzed. Disease-specific contributions explained 44% and 63% of the disparities in all-cause mortality in the 80- and 80+ age groups, respectively. Exposure effects dominated in the 80- group (47.8% vs. 3.5% of vulnerability effect), while vulnerability was the main contributor (40.1% vs. 23.3% of exposure effect) in the 80+ group. Heart failure, influenza, and pneumonia explained 21.3% of the disparity in the 80- group, while the other circulatory system diseases, especially the vulnerability of cardiac dysrhythmias (5%), dominated the 80+ group. Additionally, cerebrovascular diseases (10.7%) and blood diseases (14.1%) are the other two major contributors to vulnerability in 80+. Reducing disparities in LE demands multiple fronts, such as tobacco control, heightened preventive measures against influenza and pneumonia, and enhanced access to arrhythmia treatments.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。