Brouwer W B F, van Exel N J A, Koopmanschap M A, Rutten F F H
Institute for Medical Technology Assessment, Erasmus University Rotterdam, PO Box 1738, 3000 DR Rotterdam, The Netherlands.
Health Policy. 2002 Aug;61(2):173-87. doi: 10.1016/s0168-8510(01)00233-0.
Traditionally, production losses are estimated using the human capital or friction cost method. These methods base estimations of productivity costs on data on absence from work. For some diseases, like migraine, productivity losses without absence are occasionally calculated by estimating the production losses from reduced productivity at work. However, diseases typically only associated with absence may also be expected to cause reduced productivity before and after absence. In a previous study, Brouwer et al. concluded that productivity losses without absence are also very relevant in common diseases, like influenza, common cold or neck-problems. Studying a new sample of employees of a Dutch trade-firm (n = 51), who completed the questionnaire 'Ill and Recovered' upon return to work after absence due to illness, it was revealed that about 25% of the respondents experienced production losses before absence and about 20% of the respondents experience production losses after absence. This leads to an increase in estimated production losses of about 16% compared with only considering absence data. Current productivity costs estimates based solely on absence data may, therefore, underestimate real productivity costs. Compensation mechanisms in firms may reduce the underestimation.
传统上,生产损失是使用人力资本法或摩擦成本法来估算的。这些方法根据缺勤数据来估算生产力成本。对于某些疾病,如偏头痛,有时会通过估算工作效率降低导致的生产损失来计算无缺勤情况下的生产力损失。然而,通常仅与缺勤相关的疾病在缺勤前后也可能导致生产力降低。在先前的一项研究中,布劳威尔等人得出结论,在诸如流感、普通感冒或颈部问题等常见疾病中,无缺勤情况下的生产力损失也非常显著。通过对一家荷兰贸易公司的新样本员工(n = 51)进行研究,这些员工在因病缺勤后返回工作岗位时填写了“患病与康复”问卷,结果显示约25%的受访者在缺勤前经历了生产损失,约20%的受访者在缺勤后经历了生产损失。与仅考虑缺勤数据相比,这导致估计的生产损失增加了约16%。因此,目前仅基于缺勤数据的生产力成本估计可能会低估实际的生产力成本。公司中的补偿机制可能会减少这种低估。