ReviewInternational journal of technology assessment in health care2026
Innovating HTA: a call for capacity building and standardization.
Review in International journal of technology assessment in health care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Authors and funding
7 authors.
Funding
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Abstract
objectivesNew technologies are being developed in a context of scarcity. Health technology assessment (HTA) aims to support decision makers in providing equitable and affordable access to effective innovations. This study aims to summarize the policy-related findings of a Horizon2020 project on innovating HTA methods and discuss their implications for the governance of HTA in Europe.
methodsA thematic analysis of policy-oriented papers (
resultsReported challenges included a lack of access to standardized data, differences in evidentiary needs, existing policy structures, and a lack of capacity and knowledge. Suggested solutions were capacity building, national and international dialogues, standardization, and increased European collaboration. Stakeholders had different expectations with respect to the likely success of these solutions.
conclusionInnovation of HTA requires alignment of evidentiary needs through dialogues, standardization through increased European collaboration, and capacity building. However, without additional investments in personnel capacity, HTA agencies must still prioritize some activities at the expense of others. Furthermore, although European collaboration is important, global alignment might be required to enforce standardization.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.