Missed opportunities in hospital quality measurement during the COVID-19 pandemic: a retrospective investigation of US hospitals’ CMS Star Ratings and 30-day mortality during the early pandemic

Author:

Pollock Benjamin DORCID,Devkaran Subashnie,Dowdy Sean C

Abstract

ObjectivesIn the USA and UK, pandemic-era outcome data have been excluded from hospital rankings and pay-for-performance programmes. We assessed the relationship between US hospitals’ pre-pandemic Centers for Medicare and Medicaid Services (CMS) Overall Hospital Star ratings and early pandemic 30-day mortality among both patients with COVID and non-COVID to understand whether pre-existing structures, processes and outcomes related to quality enabled greater pandemic resiliency.Design and data sourceA retrospective, claim-based data study using the 100% Inpatient Standard Analytic File and Medicare Beneficiary Summary File including all US Medicare Fee-for-Service inpatient encounters from 1 April 2020 to 30 November 2020 linked with the CMS Hospital Star Ratings using six-digit CMS provider IDs.Outcome measureThe outcome was risk-adjusted 30-day mortality. We used multivariate logistic regression adjusting for age, sex, Elixhauser mortality index, US Census Region, month, hospital-specific January 2020 CMS Star rating (1–5 stars), COVID diagnosis (U07.1) and COVID diagnosis×CMS Star Rating interaction.ResultsWe included 4 473 390 Medicare encounters from 2533 hospitals, with 92 896 (28.2%) mortalities among COVID-19 encounters and 387 029 (9.3%) mortalities among non-COVID encounters. There was significantly greater odds of mortality as CMS Star Ratings decreased, with 18% (95% CI 15% to 22%; p<0.0001), 33% (95% CI 30% to 37%; p<0.0001), 38% (95% CI 34% to 42%; p<0.0001) and 60% (95% CI 55% to 66%; p<0.0001), greater odds of COVID mortality comparing 4-star, 3-star, 2-star and 1-star hospitals (respectively) to 5-star hospitals. Among non-COVID encounters, there were 17% (95% CI 16% to 19%; p<0.0001), 24% (95% CI 23% to 26%; p<0.0001), 32% (95% CI 30% to 33%; p<0.0001) and 40% (95% CI 38% to 42%; p<0.0001) greater odds of mortality at 4-star, 3-star, 2-star and 1-star hospitals (respectively) as compared with 5-star hospitals.ConclusionOur results support a need to further understand how quality outcomes were maintained during the pandemic. Valuable insights can be gained by including the reporting of risk-adjusted pandemic era hospital quality outcomes for high and low performing hospitals.

Publisher

BMJ

Reference15 articles.

1. The State of Health Care Quality Measurement in the Era of COVID-19

2. Centers for Medicare and Medicaid Services . Condition-specific mortality measures updates and specifications report. 2022. Available: https://qualitynet.cms.gov/files/6256e1881d037e0016868e79?filename=2022_CSM_AUS_Report.pdf [Accessed 10 Aug 2022].

3. Centers for Medicare and Medicaid Services . Hospital-acquired condition reduction program. Table 1. Key program dates for FY 2021 to FY 2023. Available: https://www.cms.gov/files/document/fy-2022-hac-reduction-program-key-dates-matrix.pdf [Accessed 9 Dec 2021].

4. RTI International . Methodology: U.S. News & world report 2022-23 best hospitals: specialty rankings. 2022.

5. Department of Health and Social Care . Quality and outcomes framework (QOF) suspended for 2020-21. 2020. Available: https://www.gov.uk/government/news/quality-and-outcomes-framework-qof-suspended-for-2020-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3