1. Mapping the value for money of precision medicine: a systematic literature review and meta-analysis
- Author
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Wenjia Chen, Nigel Chong Boon Wong, Yi Wang, Yaroslava Zemlyanska, Dimple Butani, Suchin Virabhak, David Bruce Matchar, Thittaya Prapinvanich, and Yot Teerawattananon
- Subjects
precision medicine ,medical genetics ,economic evaluation ,value for money ,systematic review ,meta-analysis ,Public aspects of medicine ,RA1-1270 - Abstract
ObjectiveThis study aimed to quantify heterogeneity in the value for money of precision medicine (PM) by application types across contexts and conditions and to quantify sources of heterogeneity to areas of particular promises or concerns as the field of PM moves forward.MethodsA systemic search was performed in Embase, Medline, EconLit, and CRD databases for studies published between 2011 and 2021 on cost-effectiveness analysis (CEA) of PM interventions. Based on a willingness-to-pay threshold of one-time GDP per capita of each study country, the net monetary benefit (NMB) of PM was pooled using random-effects meta-analyses. Sources of heterogeneity and study biases were examined using random-effects meta-regressions, jackknife sensitivity analysis, and the biases in economic studies checklist.ResultsAmong the 275 unique CEAs of PM, publicly sponsored studies found neither genetic testing nor gene therapy cost-effective in general, which was contradictory to studies funded by commercial entities and early stage evaluations. Evidence of PM being cost-effective was concentrated in a genetic test for screening, diagnosis, or as companion diagnostics (pooled NMBs, $48,152, $8,869, $5,693, p
- Published
- 2023
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