Health Technology Assessment-Informed Decision Making by the Federal Joint Committee/Institute for Quality and Efficiency in Health Care in Germany and the National Institute for Health and Care Excellence in England: The Role of Budget Impact.

Value Health

Division of Health Economics, German Cancer Research Center (DKFZ), Heidelberg, Germany; Mannheim Medical Faculty, Heidelberg University, Mannheim, Germany; Institute for Innovation & Valuation in Health Care (InnoVal(HC)), Wiesbaden, Germany; Alfred-Weber-Institute, Heidelberg University, Heidelberg, Germany.

Published: July 2023

AI Article Synopsis

  • The study evaluated how budget impact (BI) influences health technology assessments (HTA) conducted by GBA and IQWiG in Germany, and NICE in England from 2011 to 2018.
  • Data were collected from publicly available decisions and analyzed to determine the impact of BI alongside other evaluation criteria.
  • Findings indicated that while NICE and IQWiG consider specific criteria heavily, including cost-effectiveness ratios and randomized trials, GBA's evaluations may be less rigorous and show a weaker correlation with BI compared to NICE and IQWiG.

Article Abstract

Objectives: This study aimed to test (official) evaluation criteria including the potential role of budget impact (BI) on health technology assessment (HTA) outcomes published by the Federal Joint Committee (Gemeinsamer Bundesausschuss [GBA]) and the Institute for Quality and Efficiency in Health Care (Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen [IQWiG]) in Germany as well as the National Institute for Health and Care Excellence (NICE) in England.

Methods: Data were extracted from all publicly available GBA decisions and IQWiG assessments as well as NICE single technology appraisals between January 2011 and June 2018, and information with regard to evaluation criteria used by these agencies was collected. Data were analyzed using logistic regression to estimate the effect of the BI on the HTA outcomes while controlling for criteria used by GBA/IQWiG and NICE.

Results: NICE recommendations are largely driven by the incremental cost-effectiveness ratio and, if applicable, by end-of-life criteria (P < .01). While IQWiG assessments are significantly affected by the availability of randomized controlled trials and patient-relevant endpoints (P < .01), GBA appraisals primarily focus on endpoints (P < .01). The BI correlated with NICE single technology appraisals (inverted-U relationship, P < .1) and IQWiG recommendations (increasing linear relationship, P < .05), but not with GBA decisions (P > .1). Nevertheless, given that IQWiG assessments seem to be more rigorous than GBA appraisals regarding the consideration of evidence-based evaluation criteria, decisions by GBA might be negatively associated with the BI.

Conclusions: Results reveal that GBA/IQWiG and NICE follow their official evaluation criteria consistently. After controlling for all significant variables, the BI seems to have an (independent) effect on HTA outcomes as well.

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Source
http://dx.doi.org/10.1016/j.jval.2023.02.018DOI Listing

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