Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Department of Management, Monash University, Narre Warren, VIC, Australia.
Mult Scler. 2019 Jun;25(7):994-1004. doi: 10.1177/1352458518781971. Epub 2018 Jun 18.
Little is known about the work productivity loss in multiple sclerosis (MS).
To quantify the MS-related work productivity loss and to compare factors associated with labour force participation and work productivity loss.
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.
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.
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.
多发性硬化症(MS)导致的工作生产力损失知之甚少。
量化 MS 相关工作生产力损失,并比较与劳动力参与和工作生产力损失相关的因素。
参与者来自澳大利亚多发性硬化症纵向研究。MS 相关工作生产力损失包括缺勤(工作缺勤时间)和在职工作效率降低(生产力降低)。使用对数二项式和 Cragg 障碍回归分析数据。
在 740 名 MS 员工中,56%的人在过去 4 周内因 MS 而出现任何工作生产力损失。平均总工作生产力损失为 2.5 天(14.2%的工作时间损失),缺勤 0.6 天(3.4%)和在职工作效率降低 1.9 天(10.8%)),导致每人每年损失 6767 澳元(4985 美元,4578 欧元)。多变量分析表明,工作生产力主要由症状决定,特别是“疲劳和认知症状”和“疼痛和感觉症状”,而年龄较大和教育程度较低也与不在劳动力中有关。
MS 相关的在职工作效率降低是缺勤的三倍,这凸显了将在职工作效率降低纳入就业结果的重要性。症状严重程度作为工作参与和生产力损失的预测因素的主导地位强调了需要改善症状管理。