Evidence map›Paper›PMID 31942698›Full record

ArticleThe patient2020

Use of Patient Preference Studies in HTA Decision Making: A NICE Perspective.

Jacoline C Bouvy, Luke Cowie, Rosemary Lovett, Deborah Morrison, Heidi Livingstone, Nick Crabb

Abstract read
PubMed Publisher
In one paragraph

Article in The patient, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

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

  1. Pooled it
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  3. Pooled it
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  5. Do preferences differ based on respondent experience of a health issue and its treatment? A case study using a public health intervention.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
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  12. Research on the demand, preference for oral nutritional supplementation in people with colorectal cancer in the postoperative period: A qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  15. Developing a patient-based utility value set for the EORTC QLU-C10D using the OPUF method in Chinese cancer patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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4 more citing papers are in PubMed but not listed here.

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.

Jacoline C BouvyScience Policy and Research Programme, National Institute for Health and Care Excellence, 10 Spring Gardens, London, SW1A 2BU, UK. jacoline.bouvy@nice.org.uk.ORCID 0000-0003-0093-5773
Luke CowieCentre for Health Technology Evaluation, National Institute for Health and Care Excellence, Manchester, UK.
Rosemary LovettScience Policy and Research Programme, National Institute for Health and Care Excellence, 10 Spring Gardens, London, SW1A 2BU, UK.
Deborah MorrisonScientific Advice, National Institute for Health and Care Excellence, Manchester, UK.
Heidi LivingstonePublic Involvement Programme, National Institute for Health and Care Excellence, London, UK.
Nick CrabbScience Policy and Research Programme, National Institute for Health and Care Excellence, 10 Spring Gardens, London, SW1A 2BU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient preference studies could provide valuable insights to a National Institute for Health and Care Excellence committee into the preferences patients have for different treatment options, especially if the study sample is representative of the broader patient population. We identify three main uses of patient preference studies along a technology's pathway from drug development to clinical use: in early clinical development to guide the selection of appropriate endpoints, to inform benefit-risk assessments carried out by regulators and to inform reimbursement decisions made by health technology assessment bodies. In the context of the National Institute for Health and Care Excellence's methods and processes, we do not see a role for quantitative patient preference data to be directly incorporated into health economic modelling. Rather, we see a role for patient preference studies to be submitted alongside other types of evidence. Examples where patient preference studies might have added value in health technology assessments include cases where two distinctly different treatment options are being compared, when patients have to decide between multiple treatment options, when technologies have important non-health benefits or when a treatment is indicated for a heterogenous population.

Indexed as

Patient PreferenceCost-Benefit AnalysisDrug DevelopmentHumansInsurance, Health, ReimbursementRisk AssessmentState MedicineTechnology Assessment, BiomedicalUnited Kingdom

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.