Evidence map›Paper›PMID 29052163›Full record

ReviewPharmacoEconomics2017

The Use of Health State Utility Values in Decision Models.

Roberta Ara, John Brazier, 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 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. An international compendium of health state utilities in people with HIV: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Pooled it
  2. Systematic methodological review of health state values in glaucoma cost-utility analyses.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Observational
  7. Local Instrumental Variable Methods to Address Confounding and Heterogeneity when Using Electronic Health Records: An Application to Emergency Surgery.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Article
  8. Association between knee symptoms, change in knee symptoms over 6-9 years, and SF-6D health state utility among middle-aged Australians.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  9. Article
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  12. Review
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

3 authors.

Roberta AraSchool of Health and Related Research (ScHARR), University of Sheffield, Regent Court, Regent Street, Sheffield, UK. r.m.ara@sheffield.ac.uk.
John BrazierSchool of Health and Related Research (ScHARR), University of Sheffield, Regent Court, Regent Street, Sheffield, UK.
Ismail Azzabi ZouraqTakeda Pharmaceuticals International AG, Thurgauerstrasse 130, 8152, Glattpark-Opfikon (Zurich), Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methodological issues of how to use health state utility values (HSUVs) in decision models arise frequently, including the most appropriate evidence to use as the baseline (e.g. the baseline HSUVs associated with avoiding a particular health condition or event), how to capture changes due to adverse events and how to appropriately capture uncertainty in progressive conditions where the expected change in quality of life is likely to be monotonically decreasing over time. As preference-based measures provide different values when collected from the same patient, it is important to ensure that all HSUVs used within a single model are obtained from the same instrument where ever possible. When people enter the model without the condition of interest (e.g. primary prevention of cardiovascular disease, screening or vaccination programmes), appropriate age- and gender-adjusted HSUVs from people without the particular condition should be used as the baseline. General population norms may be used as a proxy if the exact condition-specific evidence is not available. Individual discrete health states should be used for serious adverse reactions to treatment and the corresponding HSUVs sourced as normal. Care should be taken to avoid double counting when capturing the effects for both less severe adverse reactions (e.g. itchy skin rash or dry cough) and more severe adverse events (e.g. fatigue in oncology). Transparency in reporting standards for both the justification of the evidence used and any 'adjustments' is important to increase readers' confidence that the evidence used is the most appropriate available.

Indexed as

Decision Support TechniquesHealth StatusModels, TheoreticalHumansPatient PreferenceQuality of LifeTime FactorsUncertainty

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.