Evidence map›Paper›PMID 39616299›Full record

ArticleApplied health economics and health policy2025

Assessing the Value of New Antimicrobials: Evaluations of Cefiderocol and Ceftazidime-Avibactam to Inform Delinked Payments by the NHS in England.

Beth Woods, Ben Kearns, Laetitia Schmitt, Dina Jankovic, Claire Rothery, Sue Harnan, Jean Hamilton, Alison Scope, Shijie Ren, Laura Bojke and 8 more

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In one paragraph

Article in Applied health economics and health policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Beth WoodsCentre for Health Economics, University of York, Alcuin 'A' Block, Heslington, York, YO10 5DD, UK. beth.woods@york.ac.uk.ORCID 0000-0002-7669-9415
Ben KearnsSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Laetitia SchmittCentre for Health Economics, University of York, Alcuin 'A' Block, Heslington, York, YO10 5DD, UK.
Dina JankovicCentre for Health Economics, University of York, Alcuin 'A' Block, Heslington, York, YO10 5DD, UK.
Claire RotheryCentre for Health Economics, University of York, Alcuin 'A' Block, Heslington, York, YO10 5DD, UK.
Sue HarnanSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Jean HamiltonSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Alison ScopeSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Shijie RenSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Laura BojkeCentre for Health Economics, University of York, Alcuin 'A' Block, Heslington, York, YO10 5DD, UK.
Mark WilcoxUniversity of Leeds and Leeds Teaching Hospitals, Leeds, UK.
William HopeDepartment of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK.
Colm LeonardManchester University NHS Foundation Trust, Wythenshawe Hospital, Manchester, UK.
Philip HowardSchool of Healthcare, University of Leeds, Leeds, UK.
David JenkinsDepartment of Clinical Microbiology, University Hospitals of Leicester NHS Trust, Leicester, UK.
Alan AshworthDepartment of Cardiothoracic Anaesthesia, Intensive Care Medicine and Extracorporeal Membrane Oxygenation, Manchester University NHS Foundation Trust, Manchester, UK.
Andrew BentleyWythenshawe Hospital, University of Manchester NHS Foundation Trust, Manchester, UK.
Mark SculpherCentre for Health Economics, University of York, Alcuin 'A' Block, Heslington, York, YO10 5DD, UK.

Funding

National Institute for Health Research PR-PRU-1217-20401
6 · The paper itself

Abstract

objectivesThe UK has recently established subscription-payment agreements for two antimicrobials: cefiderocol and ceftazidime-avibactam. This article summarises the novel value assessments that informed this process and lessons learned for future pricing and funding decisions.

methodsThe evaluations used decision modelling to predict population incremental net health effects (INHEs), informed by systematic reviews, evidence syntheses, national surveillance data and structured expert elicitation.

resultsSignificant challenges faced during the development of the evaluations led to profound uncertainty in the estimates of INHEs. The value assessment required definition of the population expected to receive the new antimicrobials; estimating value within this heterogenous population; assessing comparative efficacy using antimicrobial susceptibility data due to the absence of relevant clinical data; and predicting population-level benefits despite poor data on current numbers of drug-resistant infections and uncertainties around emerging resistance. Though both antimicrobials offer the potential to treat multi-drug resistant infections, the benefits estimated were modest due to the rarity of true pan-resistance, low life expectancy of the patient population and difficulty of identifying and quantifying additional sources of value.

conclusionsAssessing the population INHEs of new antimicrobials was complex and resource intensive. Future evaluations should continue to assemble evidence relating to areas of expected usage, patient numbers over time and comparative effectiveness and safety. Projections of patient numbers could be greatly enhanced by the development of national level linked clinical, prescribing and laboratory data. A practical approach to synthesising these data would be to combine expert assessments of key parameters with a simple generic decision model.

Indexed as

Anti-Bacterial AgentsAzabicyclo CompoundsCeftazidimeCephalosporinsState MedicineCost-Benefit AnalysisDecision Support TechniquesDrug CombinationsEnglandHumansAnti-Bacterial Agentsavibactam, ceftazidime drug combinationAzabicyclo CompoundsCeftazidimeCephalosporinsDrug Combinations

Identifiers

PMID39616299
PMCPMC12130071

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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.