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The European Journal of Health Economics

Published in:

01-06-2014 | Original Paper

Predicting productivity based on EQ-5D: an explorative study

Authors: Marieke Krol, Elly Stolk, Werner Brouwer

Published in: The European Journal of Health Economics | Issue 5/2014

Abstract

Background

Productivity costs are often ignored in economic evaluations. In order to facilitate productivity cost inclusion, it has been suggested to estimate productivity costs indirectly using quality of life data.

Objective

This study aimed to derive and validate an algorithm for predicting productivity losses on the basis of quality-of-life data using the EQ-5D-3L.

Methods

A large representative sample of the Dutch general public (n = 1,100) was asked in a web-based questionnaire to state their expected level of productivity in terms of absenteeism and presenteeism for multiple EQ-5D health states. Based on these data, two generalized estimating equations (GEE) models were constructed: (1) a model predicting levels of absenteeism and (2) a model predicting presenteeism. The models were validated by comparing model predictions with conventionally measured productivity within a group of low back pain patients.

Results

Predicted absenteeism levels based on EQ-5D health state closely resembled conventionally measured absenteeism levels. Productivity losses related to presenteeism seemed somewhat overestimated by our prediction model. Measured and predicted productivity were moderately but highly significantly correlated.

Conclusions

Overall, it appears possible to make reasonable productivity predictions based on EQ-5D data. Further exploration and validation of prediction algorithms remains necessary, however, especially for presenteeism.

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Title: Predicting productivity based on EQ-5D: an explorative study
Authors: Marieke Krol
Elly Stolk
Werner Brouwer
Publication date: 01-06-2014
Publisher: Springer Berlin Heidelberg
Published in: The European Journal of Health Economics / Issue 5/2014
Print ISSN: 1618-7598
Electronic ISSN: 1618-7601
DOI: https://doi.org/10.1007/s10198-013-0487-y

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Predicting productivity based on EQ-5D: an explorative study

Abstract

Background

Objective

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Objective

Methods

Results

Conclusions

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