Disparities in infectious disease-related health care utilization between Medicaid-enrolled American Indians and non-Hispanic Whites-Lessons from the first 16 months of coronavirus disease 2019 and a decade of flu seasons.

IF 3.1 2区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Scarlett Sijia Wang, Randall Akee, Emilia Simeonova, Sherry Glied
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引用次数: 0

Abstract

Objective: To understand why American Indian and Alaskan Native (AIAN) populations have had exceptionally high COVID-19 mortality, we compare patterns of healthcare utilization and outcomes for two serious infectious respiratory diseases-Influenza-like-illness (ILI) and coronavirus disease 2019 (COVID-19)-between American Indian and Alaskan Native (AIAN) populations (as identified in Medicaid data) and non-Hispanic Whites over the 2009-2021 period.

Study setting and design: We select all people under the age of 65 years identified as non-Hispanic White or AIAN in the New York State Medicaid claims data between 2009 and 2021. We analyze data across 10 ILI cohorts (between September 2009 and August 2020) and 4 COVID-19 cohorts (March-June 2020, July-September 2020, October-December 2020, and January-June 2021). We examine mortality and utilization rates using logistic regressions, adjusting for demographic characteristics, prior chronic conditions, and geographic location (including residence near a reservation). We stratify the analysis by rural vs. nonrural counties.

Data sources and analytic sample: We use the New York State Medicaid claims data for the analysis.

Principal findings: We find that even among Medicaid beneficiaries, who are similar in socioeconomic status and identical in health insurance coverage, AIAN populations have much lower rates of use of outpatient services and much higher rates of acute (inpatient and emergency room) service utilization for both ILI and COVID-19 than non-Hispanic Whites. Prior to COVID-19, demographic and health status-adjusted all-cause mortality rates, including from ILI, were lower among American Indians than among non-Hispanic Whites on New York State Medicaid, but this pattern reversed during the COVID-19 pandemic. Both findings are driven by nonrural counties. We did not observe significant differences in all-cause mortality and acute service utilization comparing AIAN to non-Hispanic Whites in rural areas.

Conclusion: The utilization and mortality disparities we identify within the Medicaid population highlight the need to move beyond insurance in addressing poor health outcomes in the American Indian population.

参加医疗补助计划的美国印第安人和非西班牙裔白人在传染病相关医疗保健使用方面的差异--2019 年冠状病毒疾病头 16 个月和十年流感季节的教训。
目的:为了了解为什么美国印第安人和阿拉斯加原住民(AIAN)人群的 COVID-19 死亡率特别高,我们比较了 2009-2021 年期间美国印第安人和阿拉斯加原住民(AIAN)人群(根据医疗补助计划数据确定)与非西班牙裔白人之间在两种严重传染性呼吸道疾病--流感样疾病(ILI)和 2019 年冠状病毒病(COVID-19)--的医疗保健利用模式和结果:我们选择了 2009 年至 2021 年期间纽约州医疗补助申请数据中所有 65 岁以下非西班牙裔白人或美洲印第安人。我们分析了 10 个 ILI 组群(2009 年 9 月至 2020 年 8 月)和 4 个 COVID-19 组群(2020 年 3 月至 6 月、2020 年 7 月至 9 月、2020 年 10 月至 12 月和 2021 年 1 月至 6 月)的数据。我们使用逻辑回归分析死亡率和使用率,并对人口特征、既往慢性病和地理位置(包括居住在保留地附近)进行调整。我们按农村县与非农村县进行了分层分析:我们使用纽约州医疗补助计划的报销数据进行分析:我们发现,即使在社会经济地位相似、医疗保险覆盖范围相同的医疗补助受益人中,亚裔美国人在 ILI 和 COVID-19 中的门诊服务使用率和急性病(住院病人和急诊室)服务使用率也远低于非西班牙裔白人。在 COVID-19 流行之前,根据人口统计和健康状况调整的全因死亡率(包括 ILI),美国印第安人低于纽约州医疗补助计划中的非西班牙裔白人,但在 COVID-19 流行期间,这一模式发生了逆转。这两项发现都是由非农村县造成的。在农村地区,我们没有观察到亚裔美国人与非西班牙裔白人在全因死亡率和急性病服务利用率上的明显差异:我们在医疗补助人群中发现的使用率和死亡率差异突出表明,在解决美国印第安人健康状况差的问题时,需要超越保险的范畴。
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来源期刊
Health Services Research
Health Services Research 医学-卫生保健
CiteScore
4.80
自引率
5.90%
发文量
193
审稿时长
4-8 weeks
期刊介绍: Health Services Research (HSR) is a peer-reviewed scholarly journal that provides researchers and public and private policymakers with the latest research findings, methods, and concepts related to the financing, organization, delivery, evaluation, and outcomes of health services. Rated as one of the top journals in the fields of health policy and services and health care administration, HSR publishes outstanding articles reporting the findings of original investigations that expand knowledge and understanding of the wide-ranging field of health care and that will help to improve the health of individuals and communities.
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