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Empirical Testing of Alternative Search Methods to Retrieve Utility Values for Health Economic Modelling
Johanna Lister1, Suzy Paisley2, Christopher Carroll3
1University of Sheffield, SCHARR, 30 Regent Street, Sheffield, S1 4DA, UK. jlister1@sheffield.ac.uk.
Pharmacoeconomics
|August 6, 2024
Summary
Systematic reviews for health economic models are less efficient than iterative or rapid reviews. Alternative search methods identified similar utility values, leading to comparable model conclusions.
Area of Science:
- Health Economics
- Information Retrieval
- Health Technology Assessment
Background:
- Identifying utility inputs for health economic models is crucial for HTA.
- Traditional systematic review methods are time-consuming and resource-intensive.
Purpose of the Study:
- To compare the efficiency and effectiveness of different information retrieval methods for identifying utility inputs.
- To evaluate systematic review, iterative searching, and rapid review methods.
Main Methods:
- A health technology assessment case study for ulcerative colitis (UC) was used.
- Compared systematic review with iterative searching and rapid review.
- Assessed time, burden, and relevance of retrieved information.
- Tested identified utility values in an UC health economic model.
Main Results:
- Systematic review identified the most publications but was least precise and slowest.
- Alternative methods (iterative, rapid review) were more efficient.
- Model results were consistent across all tested search methods, despite differences in retrieved data.
Conclusions:
- Usual systematic review practice is less efficient for identifying utility inputs.
- Alternative search methods yielded comparable health economic model conclusions.
- Further research is needed to generalize these findings across different health economic models.
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