Evidence map›Paper›PMID 41937377›Full record

ArticleInternational journal of technology assessment in health care2026

Unveiling trends: insights into medicines reimbursement recommendations and health technology management in Ireland (2018-2023).

David Aluga, Claire Gorry, Michael Barry, Paula Byrne, Paddy Gillespie, Susan M Smith

Abstract read
In one paragraph

Article 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. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trials, trips, and tribulations: pathways for implementing psychedelic therapy in Ireland.The international journal of neuropsychopharmacology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

David AlugaDiscipline of Public Health and Primary Care, Institute of Population Health, School of Medicine, https://ror.org/02tyrky19Trinity College Dublin, Ireland.ORCID https://orcid.org/0000-0001-8133-3525
Claire GorryHealth Service Executive-Medicines Management Programme, Trinity Centre for Health Sciences, https://ror.org/04c6bry31St. James's Hospital, Dublin, Ireland.
Michael BarryHealth Service Executive-Medicines Management Programme, Trinity Centre for Health Sciences, https://ror.org/04c6bry31St. James's Hospital, Dublin, Ireland.
Paula ByrneCentre for Health Research Methodology, College of Medicine, Nursing and Health Sciences, https://ror.org/03bea9k73University of Galway, Ireland.
Paddy GillespieHealth Economics and Policy Analysis Centre, J.E. Cairnes School of Business & Economics, https://ror.org/03bea9k73University of Galway, Ireland.
Susan M SmithDiscipline of Public Health and Primary Care, Institute of Population Health, School of Medicine, https://ror.org/02tyrky19Trinity College Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHealth technology management (HTM) involves systems designed to ensure the safe, effective, and cost-effective use of health technologies following reimbursement. This study examines the recommendations of Ireland's Health Service Executive-Drugs Group (HSE-DG), exploring the characteristics and patterns of positive or conditional positive recommendations and HTM-related requirements.

methodsWe reviewed the minutes of HSE-DG meetings between January 2018 and December 2023. Data on medicines reviewed during this period were extracted into Microsoft Excel and analyzed narratively.

resultsOver the study period, the HSE-DG reviewed 192 medicines (including new medicines and new indications for existing medicines), of which 157 received positive (115) or conditional positive recommendations (42). Of these, thirty-three were subject to HTM conditions, typically involving a managed access protocol or a specific reimbursement application process. Due to inconsistent reporting of key information, quantitative analysis was not feasible. However, common characteristics among HTM-linked recommendations emerged. These included submissions for reimbursement targeting a subset of the licensed population (45.5 percent vs. 5.6 percent in non-HTM cases), designation as orphan medicines (39.4 percent vs. 29.8 percent), and having both first-in-class and new chemical entity designations (75.8 percent vs. 47.6 percent).

conclusionsFindings indicate an increasing trend toward positive/conditional positive reimbursement recommendations with HTM in the Irish setting, with an average of 21 percent of positive/conditional positive recommendations over the study period contingent on HTM. More granular and consistent reporting of key indicators would enable the determination of characteristics associated with reimbursement recommendations with HTM.

Indexed as

Reimbursement MechanismsTechnology Assessment, BiomedicalCost-Benefit AnalysisHumansIrelandhealth technology assessmenthealth technology managementmanaged access protocolsorphan drugsreimbursement

Identifiers

PMID41937377
PMCPMC13125769

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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.