Predicting COVID-19 Cases in Nursing Homes of California and Ohio: Does the Work Environment Matter?
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2024/10/01
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Description: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. [Description provided by NIOSH]
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ISSN:1076-2752
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Volume:66
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Issue:10
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NIOSHTIC Number:nn:20069864
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Citation:J Occup Environ Med 2024 Oct; 66(10):e460-e466
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Contact Point Address:Soumyadipta Roy, 504A Ford Building, Department of Health Policy and Administration, Pennsylvania State University, University Park, PA 16802
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Email:sqr5764@psu.edu
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Federal Fiscal Year:2025
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Performing Organization:Harvard University, Boston, Massachusetts
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Peer Reviewed:True
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Start Date:20070901
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Source Full Name:Journal of Occupational and Environmental Medicine
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End Date:20260831
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Main Document Checksum:urn:sha-512:2037499c2f43d5d7cde32cc199b08059ff5890878307fb254b8955b8623fff459ac183ad85d594231d5d6e6abebe1a406aa6970f4ffa34a2d72ca5afab49348a
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