Literature DB >> 18615835

The impact of using different costing methods on the results of an economic evaluation of cardiac care: microcosting vs gross-costing approaches.

Fiona M Clement Nee Shrive1, William A Ghali, Cam Donaldson, Braden J Manns.   

Abstract

BACKGROUND: Published guidelines on the conduct of economic evaluations provide little guidance regarding the use and potential bias of the different costing methods.
OBJECTIVES: Using microcosting and two gross-costing methods, we (1) compared the cost estimates within and across subjects, and (2) determined the impact on the results of an economic evaluation.
METHODS: Microcosting estimates were obtained from the local health region and gross-costing estimates were obtained from two government bodies (one provincial and one national). Total inpatient costs were described for each method. Using an economic evaluation of sirolimus-eluting stents, we compared the incremental cost-utility ratios that resulted from applying each method.
RESULTS: Microcosting, Case-Mix-Grouper (CMG) gross-costing, and Refined-Diagnosis-Related grouper (rDRG) gross-costing resulted in 4-year mean cost estimates of $16,684, $16,232, and $10,474, respectively. Using Monte Carlo simulation, the cost per QALY gained was $41,764 (95% CI: $41,182-$42 346), $42,538 (95% CI: $42 167-$42 907), and $36,566 (95% CI: $36,172-$36,960) for microcosting, rDRG-derived and CMG-derived estimates, respectively (P<0.001).
CONCLUSIONS: Within subject, the three costing methods produced markedly different cost estimates. The difference in cost-utility values produced by each method is modest but of a magnitude that could influence a decision to fund a new intervention. (c) 2008 John Wiley & Sons, Ltd.

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Year:  2009        PMID: 18615835     DOI: 10.1002/hec.1363

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


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