Citation

Tao XG, Kalia N, Lavin RA, Minor SA, Yuspeh L, Leung N, Tsourmas NF, Bernacki EJ. J. Occup. Environ. Med. 2019; ePub(ePub): ePub.

Affiliation

Associate Professor of Medicine, Division of Occupational and Environmental Medicine, Department of Medicine, Johns Hopkins University School of Medicine (Xuguang (Grant) Tao); Assistant Professor of Medicine, Division of Occupational and Environmental Medicine, Department of Medicine, Johns Hopkins University School of Medicine (Nimisha Kalia); Associate Professor of Medicine, Department of Neurology, University of Maryland School of Medicine (Robert A. Lavin); Assistant Director, Insurance and Information Technology, School of Medicine, Johns Hopkins University (Sebastian A. Minor); AVP of Strategic Risk and Strategy Management, Louisiana Workers' Compensation Corporation, Instructor in Medicine, Department of Medicine, Johns Hopkins University School of Medicine (Larry Yuspeh); Assistant Professor of Population Health, Dell Medical School, the University of Texas at Austin, Assistant Professor of Medicine, Department of Medicine, Johns Hopkins School of Medicine (Nina Leung); Clinical Associate Professor, Department of Population Health, Dell Medical School, the University of Texas at Austin (Nicholas F. Tsourmas); Professor of Population Health, Dell Medical School, University of Texas at Austin, Emeritus Professor of Medicine, Department of Medicine, Johns Hopkins University School of Medicine (Edward J. Bernacki).

Copyright

(Copyright © 2019, Lippincott Williams and Wilkins)

DOI

10.1097/JOM.0000000000001683

PMID

31348416

Abstract

OBJECTIVE: To identify a simple surrogate to predict the future risk of multiple lost-time injuries.

METHOD: Employees of an academic medical center who sustained 5,906 injuries were followed from 1994 to 2017 or 1,046,218 person years.

RESULTS: The odds ratio of having three or more lost-time injuries during their entire duration of employment was 2.12 (95% CI: 1.60, 2.79) for employees having their first lost-time injury within the first six months of employment vs. those injured after that, controlling for demographics and employment duration. For each increasing year before the first lost-time injury, the probability of having three or more lost-time injuries decreased by 13%.

CONCLUSIONS: Employment duration prior to the first lost-time injury may be used to predict future lost-time injuries without detailed information of underlying risk factors.

Language: en