Evidence map›Paper›PMID 39583088›Full record

ArticleMDM policy & practice

Early Economic Modeling to Inform a Target Product Profile: A Case Study of a Novel Rapid Test for

Paola Cocco, Alison Florence Smith, Kerrie Ann Davies, Christopher Michael Rooney, Robert Michael West, Bethany Shinkins

Abstract read
In one paragraph

Article in MDM policy & practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Paola CoccoAcademic Unit of Health Economics, Leeds Diagnosis and Screening Unit, Leeds Institute for Health Sciences, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0002-0652-6877
Alison Florence SmithAcademic Unit of Health Economics, Leeds Diagnosis and Screening Unit, Leeds Institute for Health Sciences, University of Leeds, Leeds, UK.
Kerrie Ann DaviesAcademic Unit of Health Economics, Leeds Diagnosis and Screening Unit, Leeds Institute for Health Sciences, NIHR Leeds In Vitro Diagnostics Co-operative (MIC), University of Leeds, Leeds, UK.
Christopher Michael RooneyHealthcare Associated Infections Research Group, Leeds Teaching Hospitals NHS Trust, and University of Leeds, Leeds, UK.
Robert Michael WestLeeds Institute for Health Sciences, University of Leeds, Leeds, UK.
Bethany ShinkinsDivision of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highlights: Target product profiles (TPPs) for new medical tests provide test developers with performance benchmarks and technical requirements for new tests. Early economic evaluation has already been used to identify acceptable ranges for certain performance requirements for new tests. Currently, however, early economic evaluation methods are yet to be used in the context of TPP development, and there is no guidance as to how this could and should be done.A de novo approach was developed to identify the minimum performance requirements and maximum costs for new tests, based on cost-effectiveness considerations, while also isolating most influential parameters. The added value of this framework lies in structuring early economic evaluation methods as a means of informing transparent, evidence-based minimum TPP performance specifications while also accounting as much as possible for the (inevitable) uncertainty surrounding the minimum performance requirements.This study represents the first application of early economic modeling as a means of deriving the minimum performance specifications for a novel point-of-care test for

Indexed as

clostridioides difficile infectiondiagnostic testearly economic evaluationtarget product profilestest evaluation pathway

Identifiers

PMID39583088
PMCPMC11585019

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.