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The associations of multimorbidity with health-related productivity loss in a large and diverse public sector setting: A cross-sectional survey

Citation

Wang, L and Cocker, F and Kilpatrick, M and Otahal, P and Si, L and Palmer, AJ and Sanderson, K, The associations of multimorbidity with health-related productivity loss in a large and diverse public sector setting: A cross-sectional survey, Journal of Occupational and Environmental Medicine, 60, (6) pp. 528-535. ISSN 1076-2752 (2018) [Refereed Article]


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Copyright © 2017 American College of Occupational and Environmental Medicine

DOI: doi:10.1097/JOM.0000000000001243

Abstract

Objective: To evaluate absenteeism, presenteeism, and total lost productive time (LPT) associated with multimorbidity.

Methods: Cross-sectional data from 3228 state-government employees from Tasmania were collected in 2013. The validated measures of absenteeism, presenteeism, and LPT were obtained from employees' self-reported data over a 28-day period. Analyses were stratified by sex. Negative binomial models were used to estimate the associations between multimorbidity and LPT.

Results: The average health-related total LPT was 1.2 (standard deviation [SD] = 2.4) and 1.7 (SD = 3.5) days for men and women with multimorbidity, respectively. Women (rate ratio [RR] = 2.9, 95% confidence interval [CI] 1.8 to 4.9) and men (RR = 4.4, 95%CI 3.0 to 6.2) with 4+ chronic conditions were significantly more likely to report LPT compared with those without any chronic conditions.

Conclusion: We found multimorbidity is of concern within the workforce, with a positive association of multimorbidity and LPT observed, and significant differences in LPT between men and women reporting multimorbidity.

Item Details

Item Type:Refereed Article
Keywords:morbidity, multimorbidity, productivity loss, lost productive time, public sector, absenteeism, presenteeism
Research Division:Economics
Research Group:Applied economics
Research Field:Health economics
Objective Division:Health
Objective Group:Evaluation of health and support services
Objective Field:Evaluation of health and support services not elsewhere classified
UTAS Author:Wang, L (Ms Lilli Wang)
UTAS Author:Cocker, F (Dr Fiona Cocker)
UTAS Author:Kilpatrick, M (Dr Michelle Kilpatrick)
UTAS Author:Otahal, P (Mr Petr Otahal)
UTAS Author:Si, L (Mr Lei Si)
UTAS Author:Palmer, AJ (Professor Andrew Palmer)
UTAS Author:Sanderson, K (Associate Professor Kristy Sanderson)
ID Code:123918
Year Published:2018 (online first 2017)
Web of Science® Times Cited:1
Deposited By:Menzies Institute for Medical Research
Deposited On:2018-02-01
Last Modified:2018-07-23
Downloads:85 View Download Statistics

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