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Published on: February 23, 2011
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Economic evaluations of predictive genetic testing: A scoping review
Qin Xi1, Shihan Jin2, Stephen Morris1
1Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
Plos One
|August 2, 2023
Summary
Predictive genetic testing for conditions like cancer is often cost-effective compared to no testing. Economic evaluations show its value, especially as testing costs decrease.
Area of Science:
- Health Economics
- Genetics
- Public Health
Background:
- Predictive genetic testing offers insights into future health conditions.
- Economic evaluations assess the cost-effectiveness of these tests.
- Previous research exists, but a comprehensive scoping review is needed.
Purpose of the Study:
- To conduct a scoping review of economic evaluations for predictive genetic testing.
- To synthesize findings on the cost-effectiveness of genetic testing across various health conditions.
- To identify trends and geographical focuses in the research.
Main Methods:
- Scoping review methodology applied.
- Searched PubMed, Web of Science, Embase, and Cochrane databases (2019-2022).
- Included studies from a prior review (2013-2019), totaling 53 studies.
Main Results:
- Most studies focused on the US, UK, and Australia.
- Cancer and cardiovascular diseases were the most common conditions studied.
- 94% of studies found predictive genetic testing cost-effective compared to no testing.
Conclusions:
- Predictive genetic testing, particularly for cancer and cardiovascular diseases, is generally cost-effective.
- The cost-effectiveness is improving as genetic testing expenses decline.
- Economic evaluations support the integration of predictive genetic testing into healthcare.
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