Evidence map›Paper›PMID 31286995›Full record

ArticleBMC research notes2019

Comparison of health state utility estimates from instrument-based and vignette-based methods: a case study in kidney disease.

Andrew H Briggs, Vasily Belozeroff, David Feeny

Abstract readComparative Study
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Differences in the Selection of Health State Utility Values by Sponsorship in Published Cost-Effectiveness Analyses.Medical decision making : an international journal of the Society for Medical Decision Making · 2021
    Article
  4. Article
  5. 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.

Andrew H BriggsWilliam R Lindsay Chair of Health Economics, Health Economics and Technology Assessment, Institute of Health & Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, Scotland, UK. andrew.briggs@glasgow.ac.uk.
Vasily BelozeroffAmgen Inc., Thousand Oaks, CA, USA.
David FeenyDepartment of Economics, McMaster University, Hamilton, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe take advantage of a rare occurrence when two different studies report on the estimation of quality of life utilities for the same health states to assess convergence of the reported measures. Health state utilities are important inputs into health economic models that estimate the impact of new medical technologies using a common metric of health gain-the quality adjusted life-year.

resultsWe find low concordance between the two measures which is concerning in that this could have important ramifications for health care decision making based on estimated cost-effectiveness. We explore possible reasons for the discrepancy between the two measures and draw implications for the design of future studies.

Indexed as

Health StatusQuality-Adjusted Life YearsQuality of LifeCost-Benefit AnalysisHumansKidney DiseasesModels, EconomicCost-effectivenessHealth-related quality of lifeHealth technology assessment (HTA)Medical technologyQuality adjusted life years (QALYs)

Identifiers

PMID31286995
PMCPMC6615078

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.