Covid-19 and excess mortality in medicare beneficiaries

PLoS One. 2022 Feb 2;17(2):e0262264. doi: 10.1371/journal.pone.0262264. eCollection 2022.

Abstract

We estimated excess mortality in Medicare recipients in the United States with probable and confirmed Covid-19 infections in the general community and amongst residents of long-term care (LTC) facilities. We considered 28,389,098 Medicare and dual-eligible recipients from one year before February 29, 2020 through September 30, 2020, with mortality followed through November 30th, 2020. Probable and confirmed Covid-19 diagnoses, presumably mostly symptomatic, were determined from ICD-10 codes. We developed a Risk Stratification Index (RSI) mortality model which was applied prospectively to establish baseline mortality risk. Excess deaths attributable to Covid-19 were estimated by comparing actual-to-expected deaths based on historical (2017-2019) comparisons and in closely matched concurrent (2020) cohorts with and without Covid-19. Overall, 677,100 (2.4%) beneficiaries had confirmed Covid-19 and 2,917,604 (10.3%) had probable Covid-19. A total of 472,329 confirmed cases were community living and 204,771 were in LTC. Mortality following a probable or confirmed diagnosis in the community increased from an expected incidence of about 4.0% to actual incidence of 7.5%. In long-term care facilities, the corresponding increase was from 20.3% to 24.6%. The absolute increase was therefore similar at 3-4% in the community and in LTC residents. The percentage increase was far greater in the community (89.5%) than among patients in chronic care facilities (21.1%) who had higher baseline risk of mortality. The LTC population without probable or confirmed Covid-19 diagnoses experienced 38,932 excess deaths (34.8%) compared to historical estimates. Limitations in access to Covid-19 testing and disease under-reporting in LTC patients probably were important factors, although social isolation and disruption in usual care presumably also contributed. Remarkably, there were 31,360 (5.4%) fewer deaths than expected in community dwellers without probable or confirmed Covid-19 diagnoses. Disruptions to the healthcare system and avoided medical care were thus apparently offset by other factors, representing overall benefit. The Covid-19 pandemic had marked effects on mortality, but the effects were highly context-dependent.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • COVID-19 / economics
  • COVID-19 / mortality*
  • Female
  • Humans
  • Incidence
  • Insurance Benefits / trends
  • Long-Term Care / trends
  • Male
  • Medicare / trends*
  • Mortality
  • Risk Factors
  • SARS-CoV-2 / pathogenicity
  • Skilled Nursing Facilities / trends
  • United States

Grants and funding

This study was funded by Health Data Analytics Institute (HDAI) (www.hdainstitute.com). The funder provided support in the form of salaries for authors SDG, NCG, PJM, JG and DC, and HDAI consultant DIS, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. The Robert Wood Johnson Foundation provided support for access to the Covid-19 RSI365 risk prediction models by academic researchers for non-commercial purposes via the HDAI API (https://www.hda-institute.com/application-for-use-of-the-hdai-api/).