Evidence map›Paper›PMID 17640110›Full record

ArticlePharmacoEconomics2007

A stated preference binary choice experiment to explore NICE decision making.

Paul Tappenden, John Brazier, Julie Ratcliffe, James Chilcott

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Article in PharmacoEconomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
–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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. The Role of Qualitative Research Methods in Discrete Choice Experiments.Medical decision making : an international journal of the Society for Medical Decision Making · 2017
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  7. Attributes Development for Pharmaceutical Subsidization: A Qualitative Study.Iranian journal of pharmaceutical research : IJPR · 2020
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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

4 authors.

Paul TappendenSchool of Health and Related Research, The University of Sheffield, Sheffield, England. P.Tappenden@Sheffield.ac.uk
John Brazier
Julie Ratcliffe
James Chilcott

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore whether the National Institute for Health and Clinical Excellence (NICE) takes account of concerns other than just incremental cost effectiveness in commissioning healthcare services.

methodA stated preference binary choice experiment was used to explore the preferences of members of NICE's Appraisal Committees for incremental cost effectiveness, the degree of uncertainty surrounding incremental costs and health outcomes, the age of beneficiaries, baseline health-related quality of life (HR-QOL) and the availability of alternative therapies when considering whether to recommend health technologies.

resultsA logit modelling analysis of Committee members' stated preferences suggested that increases in the incremental cost-effectiveness ratio and economic uncertainty, and the availability of other therapies was associated with statistically significant reductions in the odds of a positive recommendation (p < 0.01). The transition from a very low to a comparatively high level of baseline HR-QOL was also associated with a statistically significant reduction in the odds of a positive recommendation (p = 0.003). The age of beneficiaries did not significantly affect decisions concerning whether to recommend technologies.

conclusionThe results of the choice experiment support the notion of a probabilistic adoption/rejection approach rather than the operation of a single cost-effectiveness threshold.

Indexed as

Cost-Benefit AnalysisDecision MakingEnglandHealth ServicesHumansQuality-Adjusted Life YearsQuality of LifeResearch DesignWales

Identifiers

What OpenQuestion holds

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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.