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Cited by 419

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Role of Health Risk Factors and Disease on Worker Productivity

Burton, Wayne N., Conti, Daniel J., Chen, Chin-Yu, Schultz, Alyssa B., Edington, Dee W.·1999·Journal of Occupational & Environmental Medicine

Abstract

The costs attributed to employee health problems are usually measured by employers in terms of direct health care costs, such as medical plan claims. Although it has been understood that employee health problems also produce indirect costs for employers, their measurement has been far less frequent. At best, studies have recorded one component of indirect health costs: the time lost to employee absenteeism and disability. The study presented here includes a measure of the actual decrease in the productivity of employees while they are on the job, in addition to measures of absenteeism and disability. These three measurements were combined to produce a Worker Productivity Index (WPI). The WPIs of 564 telephone customer-service agents were correlated with the employees' number and type of health risks, as measured by a Health Risk Appraisal. Additionally, the WPI was also examined across different disease states in the same population of employees. As the number of health risks increased, an employee's productivity decreased. The nature of the health risk may also differentially affect the pattern of the decrease. Finally, disease states were also associated with different patterns of productivity reduction.

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Metadata

Authors
Burton, W. N., Conti, D. J., Chen, C.-Y., Schultz, A. B., & Edington, D. W.
Venue
Journal of Occupational & Environmental Medicine
Published
1999-10
Volume
41
Issue
10
Pages
863-877
ISSN
1076-2752 (ISSN-L)
OpenAlex
W2074460083
Cited by
419
References
1
FWCI
33.28
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.