Campbell Travis, Galvani Alison P, Friedman Gerald, Fitzpatrick Meagan C
Department of Economics, Southern Oregon University, 1250 Siskiyou Blvd., Ashland, OR 97520.
Center for Infectious Disease Modeling and Analysis (CIDMA), Yale School of Public Health, New Haven, CT, USA.
Lancet Reg Health Am. 2022 Aug;12:100264. doi: 10.1016/j.lana.2022.100264. Epub 2022 May 12.
Before widespread vaccination, the United States was disproportionately affected by COVID-19 with a mortality rate several times that of other affluent societies. Comparing regions with different rates of health insurance, we assess how much of this excess mortality may be due to the relatively large population without health insurance.
We use daily surveillance data from the US Centers for Disease Control and Prevention (CDC) stratified by region, age group, gender, and race in regression analysis of daily COVID-19 cases, hospitalization, and mortality. COVID-19 data have been matched with structural characteristics of the region including average proportion with health insurance. As checks, we have estimated regressions for different time periods, different groups of states, and by comparing adjacent counties between states with and without Medicaid expansion.
Groups with lower health insurance coverage had significantly higher mortality as well as greater case counts and hospitalization. Early in the pandemic, they were also less likely to be tested for COVID-19. Applying our regression estimates, we estimate that had there been full health insurance coverage of the population, there would have been 60,000 fewer deaths, 26% of the total death toll in the period of this analysis.
Our study demonstrates that a significant share of COVID-19 mortality in the United States, and much of the excess mortality in the United States compared with other countries, is due to our reliance on a system of market-driven healthcare. Providing universal insurance coverage should be part of our campaign to reduce COVID-19 mortality. It also suggests that these concerns should not be restricted to COVID-19 but apply across all diseases, contributing to many unnecessary deaths in the United States each year even apart from the COVID-19 pandemic.
在广泛接种疫苗之前,美国受新冠疫情的影响尤为严重,死亡率是其他富裕社会的数倍。通过比较不同医疗保险覆盖率的地区,我们评估了这种过高死亡率中有多少可能归因于相对庞大的未参保人群。
我们使用美国疾病控制与预防中心(CDC)按地区、年龄组、性别和种族分层的每日监测数据,对每日新冠病例、住院情况和死亡率进行回归分析。新冠数据已与该地区的结构特征相匹配,包括医疗保险的平均覆盖率。作为检验,我们对不同时间段、不同州组进行了回归估计,并通过比较有和没有医疗补助扩大计划的州之间相邻县的情况进行分析。
医疗保险覆盖率较低的群体死亡率显著更高,病例数和住院率也更高。在疫情早期,他们接受新冠病毒检测的可能性也较小。应用我们的回归估计,我们估计如果全体人口都有医疗保险,死亡人数将减少6万,占本分析期间总死亡人数的26%。
我们的研究表明,美国新冠死亡病例中的很大一部分,以及与其他国家相比美国过高的死亡率,是由于我们依赖市场驱动的医疗体系。提供全民保险覆盖应成为我们降低新冠死亡率行动的一部分。这也表明这些问题不应局限于新冠疫情,而是适用于所有疾病,即使在新冠疫情之外,每年也导致美国许多不必要的死亡。