Adjusted productivity costs of stroke by human capital and friction cost methods: a Northern Finland Birth Cohort 1966 study

BACKGROUND: Productivity costs result from loss of paid and unpaid work and replacements due to morbidity and mortality. They are usually assessed in health economic evaluations with human capital method (HCM) or friction cost method (FCM). The methodology for estimating lost productivity is an area...

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Bibliographic Details
Published in:The European Journal of Health Economics
Main Authors: Rissanen, Ina, Ala-Mursula, Leena, Nerg, Iiro, Korhonen, Marko
Format: Text
Language:English
Published: Springer Berlin Heidelberg 2021
Subjects:
Original Paper
Northern Finland
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166714/
http://www.ncbi.nlm.nih.gov/pubmed/33625624
https://doi.org/10.1007/s10198-021-01271-7
Description
Summary:BACKGROUND: Productivity costs result from loss of paid and unpaid work and replacements due to morbidity and mortality. They are usually assessed in health economic evaluations with human capital method (HCM) or friction cost method (FCM). The methodology for estimating lost productivity is an area of considerable debate. OBJECTIVE: To compare traditional and adjusted HCM and FCM productivity cost estimates among young stroke patients. METHODS: The Northern Finland Birth Cohort 1966 was followed until the age of 50 to identify all 339 stroke patients whose productivity costs were estimated with traditional, occupation-specific and adjusted HCM and FCM models by using detailed, national register-based data on care, disability, mortality, education, taxation and labour market. RESULTS: Compared to traditional HCM, taking into account occupational class, national unemployment rate, disability-free life expectancy and decline in work ability, the productivity cost estimate decreased by a third, from €255,960 to €166,050. When traditional FCM was adjusted for occupational class and national unemployment rate, the estimate more than doubled from €3,040 to €7,020. HCM was more sensitive to adjustments for discount rate and wage growth rate than FCM. CONCLUSIONS: This study highlights the importance of adjustments of HCM and FCM. Routine register-based data can be used for accurate productivity cost estimates of health shocks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10198-021-01271-7.

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