In:
International Journal of Technology Assessment in Health Care, Cambridge University Press (CUP), Vol. 25, No. 02 ( 2009-4), p. 214-221
Abstract:
Objectives: The aim of this study was to present a review of economic evaluations conducted from a Canadian perspective and to characterize sources of evidence and statistical methods to analyze effectiveness measures, resource utilization, and uncertainty. Methods: A search strategy was developed to identify Canadian economic evaluations published between January 2001 and June 2006. A standardized abstraction form was used to extract key data (e.g., study design, data sources, statistical methods). Results: A total of 153 unique studies were included for review, of which 75 were evaluations of drug therapies and less than half were funded by industry. Cost-effectiveness analysis was the most common type of economic evaluation and 80 percent of the studies used modeling techniques. A single source of evidence for effectiveness measures was used in half of the studies. Statistical methods were commonly reported to compare effectiveness measures when the economic evaluation was conducted alongside a clinical trial but less commonly when determining effectiveness input parameters in model-based economic evaluations, or to analyze resource utilization data. Authors relied mostly on univariate sensitivity analyses to explore uncertainty. Conclusions: This review identifies the need to improve the conduct and reporting of statistical methods for economic evaluations to improve confidence in the results.
Type of Medium:
Online Resource
ISSN:
0266-4623
,
1471-6348
DOI:
10.1017/S0266462309090278
Language:
English
Publisher:
Cambridge University Press (CUP)
Publication Date:
2009
detail.hit.zdb_id:
2020486-3
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