# The role of budget impact in reimbursement decisions in The Netherlands: interviews with decision-makers and pharmaceutical industry representatives

**Authors:** Vivian Reckers-Droog, Joost Enzing, Werner Brouwer

PMC · DOI: 10.1007/s10198-025-01771-w · The European Journal of Health Economics · 2025-04-09

## TL;DR

This study explores how budget impact analyses are used in different stages of health technology reimbursement decisions in the Netherlands.

## Contribution

It provides new insights into the inconsistent use of budget impact analyses across decision stages and the rationale behind this variation.

## Key findings

- Budget impact analyses serve different purposes depending on the decision stage and the needs of decision-makers.
- Evidence on budget impact is used inconsistently, with some aspects like savings and substitution effects being excluded in early stages.
- A clear framework for consistent use of budget impact evidence across stages has not been established.

## Abstract

Economic evaluations of health technologies increasingly encompass a cost-effectiveness analysis (CEA) and a supplementary budget impact analysis (BIA) to inform reimbursement decisions on health technologies. Evidence from the Netherlands suggests that CEA requirements are consistent between the different stages of the decision-making process in the Netherlands, while BIA requirements are not. It remains unclear why aspects of BIAs vary in form and importance across decision stages, and why BIA results do not have a clear and consistent relationship with CEA results. Therefore, this study aimed to obtain further insight into the role of budget impact in the different stages of the decision-making process in the Netherlands, and into the experiences of decision-makers that may explain the variation in use of BIA across these stages. To meet this aim, we conducted semi-structured interviews with 12 decision-makers and 3 pharmaceutical industry representatives. Our findings indicate that BIAs serve multiple purposes depending on the responsibilities and needs of decision-makers in a specific decision stage. Each purpose may be relatively well-defined, and decision-makers seemingly have a clear understanding of the evidence on (aspects of) budget impact required for achieving their specific purpose. For example, the selection of pharmaceuticals for assessment is based on the maximum financial risk associated with reimbursement, discarding evidence on savings and substitution effects in other budgets and sectors, while these broader healthcare and societal elements are included during the appraisal stage. Hence, a clear framework for the consistent use of evidence on budget impact across decision stages has not yet been established.

The online version contains supplementary material available at 10.1007/s10198-025-01771-w.

## Full-text entities

- **Genes:** ID3 (inhibitor of DNA binding 3) [NCBI Gene 3399] {aka HEIR-1, bHLHb25}, ID4 (inhibitor of DNA binding 4) [NCBI Gene 3400] {aka IDB4, bHLHb27}, CPAT1 (cerebral palsy, ataxic 1) [NCBI Gene 60502] {aka ACP}
- **Diseases:** rare diseases (MESH:D035583)
- **Chemicals:** ZIN (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

13 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12572102/full.md

## References

5 references — full list in the complete paper: https://tomesphere.com/paper/PMC12572102/full.md

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Source: https://tomesphere.com/paper/PMC12572102