Resource costing for multinational neurologic clinical trials: Methods and results HEALTH ECONOMICS Schulman, K., Burke, J., Drummond, M., Davies, L., Carlsson, P., Gruger, J., Harris, A., Lucioni, C., Gisbert, R., Llana, T., Tom, E., Bloom, B., Willke, R., Glick, H. 1998; 7 (7): 629–38

Abstract

We present the results of a multinational resource costing study for a prospective economic evaluation of a new medical technology for treatment of subarachnoid hemorrhage within a clinical trial. The study describes a framework for the collection and analysis of international resource cost data that can contribute to a consistent and accurate intercountry estimation of cost. Of the 15 countries that participated in the clinical trial, we collected cost information in the following seven: Australia, France, Germany, the UK, Italy, Spain, and Sweden. The collection of cost data in these countries was structured through the use of worksheets to provide accurate and efficient cost reporting. We converted total average costs to average variable costs and then aggregated the data to develop study unit costs. When unit costs were unavailable, we developed an index table, based on a market-basket approach, to estimate unit costs. To estimate the cost of a given procedure, the market-basket estimation process required that cost information be available for at least one country. When cost information was unavailable in all countries for a given procedure, we estimated costs using a method based on physician-work and practice-expense resource-based relative value units. Finally, we converted study unit costs to a common currency using purchasing power parity measures. Through this costing exercise we developed a set of unit costs for patient services and per diem hospital services. We conclude by discussing the implications of our costing exercise and suggest guidelines to facilitate more effective multinational costing exercises.

View details for DOI 10.1002/(SICI)1099-1050(1998110)7:7<629::AID-HEC378>3.0.CO;2-N

View details for Web of Science ID 000077046200007

View details for PubMedID 9845256