Abstract
Background:
Current economic evaluations (EEs) of precision medicine (PM) often adhere to generic reference cases (RCs) which overlook the unique healthcare paradigms of PM. This study aimed to develop an RC to standardize the conduct and reporting of EEs of PM.
Methods:
A working group comprising 5 core health economists, 22 PM experts, and research staff from Singapore, Thailand, the Netherlands, UK, and Australia who were actively engaged in EE and clinical PM implementation. The RC development comprised four stages: (1) Expert consultation shaping the RC’s scope and structure across nine domains: Population, Intervention, Comparator, Cost, Outcome, Time, Equity and ethics, Adaptability, and Modelling (ie, “PICCOTEAM” framework); (2) A comprehensive literature review on current PM EE approaches and challenges; (3) Obtaining expert consensus and drafting recommendations; (4) A workshop for RC refinement based on stakeholder feedback on relevance and feasibility. Following an experts’ workshop, consensus was reached to tailor PM recommendations for screening, diagnosis, and pharmacogenomics, market-access, and early EEs.
Results:
The PICCOTEAM RC offers 46 recommendations for conventional EEs to guide PM reimbursement, emphasizing expert engagement, iterative study processes, disease-specific outcomes, decision uncertainty analyses, and equity considerations. Additionally, 30 recommendations are provided for early-stage evaluation to enhance PM’s positioning and value proposition, mitigating uncertainty, equity, and ethical issues.
Conclusion:
The PICCOTEAM RC offers a standardized process to conduct and report diverse PM EEs. This will serve as guidance for health departments, researchers, clinicians, editors, and reviewers. Pilot testing and continuous updates are recommended for ongoing relevance and applicability of this RC.
Current economic evaluations (EEs) of precision medicine (PM) often adhere to generic reference cases (RCs) which overlook the unique healthcare paradigms of PM. This study aimed to develop an RC to standardize the conduct and reporting of EEs of PM.
Methods:
A working group comprising 5 core health economists, 22 PM experts, and research staff from Singapore, Thailand, the Netherlands, UK, and Australia who were actively engaged in EE and clinical PM implementation. The RC development comprised four stages: (1) Expert consultation shaping the RC’s scope and structure across nine domains: Population, Intervention, Comparator, Cost, Outcome, Time, Equity and ethics, Adaptability, and Modelling (ie, “PICCOTEAM” framework); (2) A comprehensive literature review on current PM EE approaches and challenges; (3) Obtaining expert consensus and drafting recommendations; (4) A workshop for RC refinement based on stakeholder feedback on relevance and feasibility. Following an experts’ workshop, consensus was reached to tailor PM recommendations for screening, diagnosis, and pharmacogenomics, market-access, and early EEs.
Results:
The PICCOTEAM RC offers 46 recommendations for conventional EEs to guide PM reimbursement, emphasizing expert engagement, iterative study processes, disease-specific outcomes, decision uncertainty analyses, and equity considerations. Additionally, 30 recommendations are provided for early-stage evaluation to enhance PM’s positioning and value proposition, mitigating uncertainty, equity, and ethical issues.
Conclusion:
The PICCOTEAM RC offers a standardized process to conduct and report diverse PM EEs. This will serve as guidance for health departments, researchers, clinicians, editors, and reviewers. Pilot testing and continuous updates are recommended for ongoing relevance and applicability of this RC.
| Original language | English |
|---|---|
| Article number | 8756 |
| Number of pages | 15 |
| Journal | International Journal of Health Policy and Management |
| Volume | 14 |
| Early online date | 4 Aug 2025 |
| DOIs | |
| Publication status | E-pub ahead of print - 4 Aug 2025 |
Funding
This research received funding from the Health Systems Research Institute (HSRI), Thailand (HSRI 66-099).
Keywords
- precision medicine
- genetic testing
- sequencing
- economic evaluation
- cost effectiveness
- methodology