{"title":"Catastrophic health expenditures: a disproportionate risk in uninsured ethnic minorities with diabetes.","authors":"Sebastian Linde, Leonard E Egede","doi":"10.1186/s13561-024-00486-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Chargemaster prices are the list prices that providers and health systems assign to each of their medical services in the US. These charges are often several factors of magnitude higher than those extended to individuals with either private or public insurance, however, these list prices are billed in full to uninsured patients, putting them at increased risk of catastrophic health expenditures (CHE). The objective of this study was to examine the risk of CHE across insurance status, diabetes diagnosis and to examine disparity gaps across race/ethnicity.</p><p><strong>Methods: </strong>We perform a retrospective observational study on a nationally representative cohort of adult patients from the Medical Expenditure Panel Survey for the years 2002-2017. Using logistic regression models we estimate the risk of CHE across insurance status, diabetes diagnosis and explore disparity gaps across race/ethnicity.</p><p><strong>Results: </strong>Our fully adjusted results show that the relative odds of having CHE if uninsured is 5.9 (p < 0.01) compared to if insured, and 1.1 (p < 0.01) for patients with a diabetes diagnosis (compared to those without one). We note significant interactions between insurance status and diabetes diagnosis, with uninsured patients with a diabetes diagnosis being 9.5 times (p < 0.01) more likely to experience CHE than insured patients without a diabetes diagnosis. In terms of racial/ethnic disparities, we find that among the uninsured, non-Hispanic blacks are 13% (p < 0.05), and Hispanics 14.2% (p < 0.05), more likely to experience CHE than non-Hispanic whites. Among uninsured patients with diabetes, we further find that Hispanic patients are 39.3% (p < 0.05) more likely to have CHE than non-Hispanic white patients.</p><p><strong>Conclusions: </strong>Our findings indicate that uninsured patients with diabetes are at significantly elevated risks for CHE. These risks are further found to be disproportionately higher among uninsured racial/ethnic minorities, suggesting that CHE may present a channel through which structural economic and health disparities are perpetuated.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10916057/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1186/s13561-024-00486-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Chargemaster prices are the list prices that providers and health systems assign to each of their medical services in the US. These charges are often several factors of magnitude higher than those extended to individuals with either private or public insurance, however, these list prices are billed in full to uninsured patients, putting them at increased risk of catastrophic health expenditures (CHE). The objective of this study was to examine the risk of CHE across insurance status, diabetes diagnosis and to examine disparity gaps across race/ethnicity.
Methods: We perform a retrospective observational study on a nationally representative cohort of adult patients from the Medical Expenditure Panel Survey for the years 2002-2017. Using logistic regression models we estimate the risk of CHE across insurance status, diabetes diagnosis and explore disparity gaps across race/ethnicity.
Results: Our fully adjusted results show that the relative odds of having CHE if uninsured is 5.9 (p < 0.01) compared to if insured, and 1.1 (p < 0.01) for patients with a diabetes diagnosis (compared to those without one). We note significant interactions between insurance status and diabetes diagnosis, with uninsured patients with a diabetes diagnosis being 9.5 times (p < 0.01) more likely to experience CHE than insured patients without a diabetes diagnosis. In terms of racial/ethnic disparities, we find that among the uninsured, non-Hispanic blacks are 13% (p < 0.05), and Hispanics 14.2% (p < 0.05), more likely to experience CHE than non-Hispanic whites. Among uninsured patients with diabetes, we further find that Hispanic patients are 39.3% (p < 0.05) more likely to have CHE than non-Hispanic white patients.
Conclusions: Our findings indicate that uninsured patients with diabetes are at significantly elevated risks for CHE. These risks are further found to be disproportionately higher among uninsured racial/ethnic minorities, suggesting that CHE may present a channel through which structural economic and health disparities are perpetuated.
背景介绍收费标准是美国医疗服务提供者和医疗系统为每项医疗服务制定的清单价格。这些收费往往比私人或公共保险患者的收费高出数倍,然而,这些清单价格是向未投保的患者全额收取的,这就增加了他们发生灾难性医疗支出(CHE)的风险。本研究的目的是考察不同保险状况、糖尿病诊断的灾难性医疗支出风险,并考察不同种族/族裔之间的差距:我们对 2002-2017 年医疗支出小组调查中具有全国代表性的成年患者队列进行了回顾性观察研究。利用逻辑回归模型,我们估算了不同保险状况、糖尿病诊断的 CHE 风险,并探讨了不同种族/族裔之间的差异:完全调整后的结果显示,未投保的糖尿病患者患 CHE 的相对几率为 5.9(P 结论:我们的研究结果表明,未投保的糖尿病患者患 CHE 的几率为 5.9(P):我们的研究结果表明,未参保的糖尿病患者罹患 CHE 的风险显著升高。这些风险在未参保的少数种族/族裔中更高,这表明CHE可能是结构性经济和健康差异长期存在的一个渠道。