Evidence map›Paper›PMID 29052164›Full record

ReviewPharmacoEconomics2017

The Role of Condition-Specific Preference-Based Measures in Health Technology Assessment.

Donna Rowen, John Brazier, Roberta Ara, Ismail Azzabi Zouraq

Abstract readReview
PubMed Publisher
In one paragraph

Review in PharmacoEconomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 5 pooled it
31.7field-weighted citation impact, top 1% of its field
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

59 citing papers in PubMed, 5 syntheses or guidelines pooled it, 95 citations in OpenAlex.

  1. Pooled it
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  5. A systematic review of utility values in children with cerebral palsy.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Pooled it
  6. Trial
  7. Article
  8. Article
  9. Measuring health-related quality of life in multiple sclerosis: comparing the acceptability, validity and responsiveness of the EQ-5D-3L and MSIS-8D.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  10. United Kingdom value set for the functional assessment of cancer therapy eight dimension (FACT-8D) preference-based quality of life instrument.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  11. Article
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  16. The EORTC QLU-C10D is a valid cancer-specific preference-based measure for cost-utility and health technology assessment in the Netherlands.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  17. Assessing the reliability of a novel cancer-specific multi-attribute utility instrument (FACT-8D) and comparing its validity to EQ-5D-5L in colorectal cancer patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
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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 at 2 institutions in 2 countries.

Donna RowenSchool of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK. d.rowen@sheffield.ac.uk.
John BrazierSchool of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Roberta AraSchool of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Ismail Azzabi ZouraqTakeda Pharmaceuticals International AG, Thurgauerstrasse 130, 8152, Glattpark-Opfikon (Zurich), Switzerland.
University of Sheffield · GBTakeda (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A condition-specific preference-based measure (CSPBM) is a measure of health-related quality of life (HRQOL) that is specific to a certain condition or disease and that can be used to obtain the quality adjustment weight of the quality-adjusted life-year (QALY) for use in economic models. This article provides an overview of the role and the development of CSPBMs, and presents a description of existing CSPBMs in the literature. The article also provides an overview of the psychometric properties of CSPBMs in comparison with generic preference-based measures (generic PBMs), and considers the advantages and disadvantages of CSPBMs in comparison with generic PBMs. CSPBMs typically include dimensions that are important for that condition but may not be important across all patient groups. There are a large number of CSPBMs across a wide range of conditions, and these vary from covering a wide range of dimensions to more symptomatic or uni-dimensional measures. Psychometric evidence is limited but suggests that CSPBMs offer an advantage in more accurate measurement of milder health states. The mean change and standard deviation can differ for CSPBMs and generic PBMs, and this may impact on incremental cost-effectiveness ratios. CSPBMs have a useful role in HTA where a generic PBM is not appropriate, sensitive or responsive. However, due to issues of comparability across different patient groups and interventions, their usage in health technology assessment is often limited to conditions where it is inappropriate to use a generic PBM or sensitivity analyses.

Indexed as

Patient PreferenceQuality of LifeCost-Benefit AnalysisHealth StatusHumansPsychometricsQuality-Adjusted Life YearsTechnology Assessment, Biomedical

Identifiers

PMID29052164
OpenAlexW2745564098

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.