Evidence map›Paper›PMID 36201130›Full record

ReviewPharmacoEconomics2022

Conceptual Framework for Optimised Proxy Value Set Selection Through Supra-National Value Set Development for the EQ-5D Instruments.

Agata Łaszewska, Ayesha Sajjad, Jan Busschbach, Judit Simon, Leona Hakkaart-van Roijen

Abstract readReview
In one paragraph

Review in PharmacoEconomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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  4. In varietate concordia - cluster analysis of EQ-5D-5L value sets in European Union countries.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    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

5 authors.

Agata ŁaszewskaDepartment of Health Economics, Center for Public Health, Medical University of Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria. agata.laszewska@meduniwien.ac.at.ORCID 0000-0002-6689-3708
Ayesha SajjadErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-7564-0596
Jan BusschbachSection Medical Psychology and Psychotherapy, Department of Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-8602-0381
Judit SimonDepartment of Health Economics, Center for Public Health, Medical University of Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria.ORCID 0000-0001-9279-8627
Leona Hakkaart-van RoijenErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0003-0635-7388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreference differences between countries and populations justify the use of country-specific value sets for the EQ-5D instruments. There are no clear criteria based on which the selection of value sets for countries without a national value set should be made. As part of the European PECUNIA project, this study aimed to identify factors contributing to differences in preference-based valuations and develop supra-national value sets for homogenous country clusters in Europe.

methodsA literature review was conducted to identify factors relevant to variations in the EQ-5D-3L/5L health state valuations across countries. Factors fulfilling the pre-specified criteria of validity, reliability, international feasibility and comparability were used to group 27 European Union member states, the European Free Trade Association countries and the UK. Clusters of countries were developed based on the frequency of their appearance in the same grouping. The supra-national value sets were estimated for these clusters from the coefficients of existing published valuation studies using the ordinary least-squares model.

resultsTen factors were identified from 69 studies. From these, five grouping variables: (1) culture and religion; (2) linguistics; (3) healthcare system typology; (4) healthcare system financing; and (5) sociodemographic aspects were derived to define the groups of homogenous countries. Frequency-based grouping revealed five cohesive clusters: English-speaking, Nordic, Central-Western, Southern and Eastern European.

conclusionsEuropean countries were clustered considering variables that may relate to differences in health state valuations. Supra-national value sets provide optimised proxy value set selection in the lack of a national value set and/or for regional decision making.

Indexed as

Health StatusQuality of LifeEuropeHumansReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID36201130
PMCPMC9534733

What OpenQuestion holds

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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.