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Estimates of patient costs related with population morbidity: Can indirect costs affect the results?

  • Hospital 36
  • Complutense University
  • Pompeu Fabra University

Research output: Contribution to journalScientific articlepeer-review

18 Citations (Scopus)

Abstract

A number of health economics studies require patient cost estimates as basic information input. However, the accuracy of cost estimates remains generally unspecified. We propose to investigate how the allocation of indirect costs or overheads can affect the estimation of patient costs and lead to improvements in the analysis of patient cost estimates. Instead of focussing on the costing method, this paper will highlight observed changes in variation explained by a methodology choice. We compare four overhead allocation methods for a specific Spanish population adjusted using the Clinical Risk Groups model. Our main conclusion is that the amount of global variation explained by the risk adjustment model depends mainly on direct costs, regardless of the cost allocation methodology used. Furthermore, the variation explained can be slightly increased, depending on the cost allocation methodology, and is independent of the level of aggregation in the classification system.

Original languageEnglish
Pages (from-to)289-295
Number of pages7
JournalEuropean Journal of Health Economics
Volume12
Issue number4
DOIs
Publication statusPublished - Aug 2011

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Clinical risk groups
  • Overhead allocation
  • Patient costs
  • Variation explained

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