Predicting COVID-19 Cases in Nursing Homes of California and Ohio: Does the Work Environment Matter?

J Occup Environ Med. 2024 Oct 1;66(10):e460-e466. doi: 10.1097/JOM.0000000000003181. Epub 2024 Jul 1.

Abstract

Objective: The cross-sectional study evaluates if the prepandemic work environments in nursing homes predict coronavirus disease 2019 (COVID-19) cases among residents and staff, accounting for other factors.

Method: Leveraging data from a survey of California and Ohio nursing homes (n = 340), we examined if Workplace Integrated Safety and Health domains - Leadership, Participation, and Comprehensive and Collaborative Strategies predicted cumulative COVID-19 cases among nursing home residents and staff.

Results: In Ohio, a 1-unit increase in Leadership score was associated with 2 fewer staff cases and 4 fewer resident cases. A 1-unit increase in Comprehensive and Collaborative Strategies score in California showed an average marginal effect of approximately 1 less staff case and 2 fewer resident cases.

Conclusions: These findings suggest that leadership commitment and interdepartment collaboration to prioritize worker safety may have protected against COVID-19 cases in nursing homes.

MeSH terms

  • Aged
  • COVID-19* / epidemiology
  • COVID-19* / prevention & control
  • California / epidemiology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Leadership
  • Male
  • Middle Aged
  • Nursing Homes* / statistics & numerical data
  • Occupational Health
  • Ohio / epidemiology
  • SARS-CoV-2*
  • Surveys and Questionnaires
  • Working Conditions
  • Workplace*