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Estimating MS-related work productivity loss and factors associated with work productivity loss in a representative Australian sample of people with multiple sclerosis
Citation
Chen, J and Taylor, B and Palmer, AJ and Kirk-Brown, A and van Dijk, P and Simpson Jr, S and Blizzard, L and van der Mei, I, Estimating MS-related work productivity loss and factors associated with work productivity loss in a representative Australian sample of people with multiple sclerosis, Multiple Sclerosis Journal, (June) pp. 1-11. ISSN 1352-4585 (2018) [Refereed Article]
Copyright Statement
Copyright 2018 The Authors
DOI: doi:10.1177/1352458518781971
Abstract
Objectives: To quantify the MS-related work productivity loss and to compare factors associated with labour force participation and work productivity loss.
Methods: Participants were from the Australian MS Longitudinal Study. MS-related work productivity loss included absenteeism (time missed from work) and presenteeism (reduced productivity while working). Data were analysed using log-binomial and Cragg hurdle regression.
Results: Among 740 MS employees, 56% experienced any work productivity loss due to MS in the past 4 weeks. The mean total work productivity loss was 2.5 days (14.2% lost productive time), absenteeism 0.6 days (3.4%) and presenteeism 1.9 days (10.8%)), leading to AU$6767 (US$4985, EURO€4578) loss per person annually. Multivariable analyses showed that work productivity was determined most strongly by symptoms, particularly 'fatigue and cognitive symptoms' and 'pain and sensory symptoms', while older age, and lower education level were also predictive of not being in the labour force.
Conclusion: MS-related presenteeism was three times higher than absenteeism, highlighting the importance of presenteeism being included in employment outcomes. The dominance of symptom severity as predictors of both work participation and productivity loss emphasises the need for improved management of symptoms.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | multiple sclerosis, absenteeism, fatigue, pain, presenteeism, symptoms, work productivity loss |
| Research Division: | Economics |
| Research Group: | Applied economics |
| Research Field: | Health economics |
| Objective Division: | Health |
| Objective Group: | Clinical health |
| Objective Field: | Clinical health not elsewhere classified |
| UTAS Author: | Chen, J (Miss Jing Chen) |
| UTAS Author: | Taylor, B (Professor Bruce Taylor) |
| UTAS Author: | Palmer, AJ (Professor Andrew Palmer) |
| UTAS Author: | Simpson Jr, S (Dr Steve Simpson JR) |
| UTAS Author: | Blizzard, L (Professor Leigh Blizzard) |
| UTAS Author: | van der Mei, I (Professor Ingrid van der Mei) |
| ID Code: | 126700 |
| Year Published: | 2018 |
| Web of Science® Times Cited: | 26 |
| Deposited By: | Menzies Institute for Medical Research |
| Deposited On: | 2018-06-21 |
| Last Modified: | 2019-02-25 |
| Downloads: | 0 |
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