Estimates of patient costs related with population morbidity: Can indirect costs affect the results?
A number of health economics works require patient cost estimates as a basic information input. However the accuracy of cost estimates remains in general unspecified. We propose to investigate how the allocation of indirect costs or overheads can affect the estimation of patient costs in order to allow for improvements in the analysis of patient costs estimates. Instead of focusing on the costing method, this paper proposes to highlight changes in variance explained observed when a methodology is chosen. We compare three overhead allocation methods for a specific Spanish population adjusted using the Clinical Risk Groups (CRG), and we obtain different series of full-cost group estimates. As a result, there are significant gains in the proportion of the variance explained, depending upon the methodology used. Furthermore, we find that the global amount of variation explained by risk adjustment models depends mainly on direct costs and is independent of the level of aggregation used in the classification system.
|Date of creation:||Jan 2009|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.econ.upf.edu/|
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- Jan B. Oostenbrink & Maiwenn J. Al, 2005. "The analysis of incomplete cost data due to dropout," Health Economics, John Wiley & Sons, Ltd., vol. 14(8), pages 763-776.
- Zsolt Mogyorosy & Peter Smith, 2005. "The main methodological issues in costing health care services: A literature review," Working Papers 007cherp, Centre for Health Economics, University of York.
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