Comprehensive Review of Methods to Assess Uncertainty in Health Economic Evaluations
As healthcare costs continue to rise, accurate cost-effectiveness estimates are crucial. However, estimating the costs and outcomes of different interventions is complicated by uncertainty.
In model-based health economic evaluations (HEEs), uncertainty can arise from limited data, methodological limitations, and variability in clinical outcomes.
A recent review identified 80 methods for identifying, analyzing, and communicating uncertainty in HEEs. Quantifying uncertainty wherever possible is crucial to ensure accurate and unbiased cost-effectiveness estimates, ultimately leading to optimal allocation of healthcare resources
Recent Posts
Advancing Inclusive Healthcare Strategies Through Social Impact and Sustainability
In this update we examine how Novartis is embedding inclusive healthcare strategies into its core business by launching ambitious long-term Social Impact and Sustainability (SI&S) targets that reach to 2040. These targets integrate innovation, access to medicines, global health, environmental...
Closing the East-West Divide: Addressing Healthcare Investment Disparities in Central and Eastern...
A recent study commissioned by EFPIA and authored by leading CEE academics—Dr. Slaveyko Djambazov, Dr. Luka Voncina, Dr. Aleš Rod, and Dr. Marcin Czech—reveals that despite accelerated public health spending growth in several CEE countries, structural underinvestment persists. This produces marke...
Safeguarding Access: Navigating Pharmaceutical Cost Pressures in Portugal
Pharmaceutical cost pressures are mounting in Portugal, with industry leaders warning that price increases for certain medicines appear inevitable in the medium term despite the government’s commitment to strict controls in the 2026 annual review.
Global Cost Drivers Threaten Generic...