Literature DB >> 10937398

Cost estimates for hospital inpatient care in Australia: evaluation of alternative sources.

T Jackson1.   

Abstract

OBJECTIVE: This paper presents a framework for evaluation of alternative sources of estimates of the costs of hospital inpatient care in Australia. It argues that the choice of costing methods depends on the decision-context and the sensitivity of the decision to estimation errors.
METHOD: Five criteria are proposed for evaluation of sources of hospital cost data, with detailed consideration of the way estimates are derived in two computerised approaches which use accounting data. Three broad approaches to cost estimation are evaluated against these criteria.
RESULTS: Choosing an estimation method entails an optimisation analysis for each decision context. 'Microcosting' techniques remains the most valid approach to cost estimation, but are costly and this may, in turn, limit the sample of patients or institutions. Protocol-based cost estimates vary widely in their validity, depending on source data, but there is little justification for continued use of crude per diem cost estimates in such protocols. When precision and resolution are important objectives, clinical costing approaches provide the most valid inpatient cost estimates at a reasonable data cost. When external validity is important, or where standardisation of hospital costs is desired, use of published national cost weights may be preferred.
CONCLUSION: Both primary and secondary sources of cost data must withstand challenges to internal and external validity. The 'resolution' (or precision) of cost estimates and the relative costs of collection must also be considered. IMPLICATIONS: Studies using estimates of the costs of hospital care should defend the appropriateness of the costing approach and data source for the decision context.

Entities:  

Mesh:

Year:  2000        PMID: 10937398     DOI: 10.1111/j.1467-842x.2000.tb01562.x

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  8 in total

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  8 in total

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