Evidence map›Paper›PMID 37341959›Full record

ArticlePharmacoEconomics2023

EQ-5D-5L Value Set for Slovenia.

Valentina Prevolnik Rupel, Marko Ogorevc

Abstract read
In one paragraph

Article in PharmacoEconomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Do EQ-5D-Y-3L value sets have common properties, and how do they compare to EQ-5D-5L value sets?The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  8. EQ-5D-5L value set for Norway: a hybrid model using cTTO and DCE data.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  9. 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

2 authors.

Valentina Prevolnik RupelInstitute for Economic Research, Kardeljeva ploščad 17, Ljubljana, Slovenia. rupelv@ier.si.ORCID 0000-0002-1238-7156
Marko OgorevcInstitute for Economic Research, Kardeljeva ploščad 17, Ljubljana, Slovenia.ORCID 0000-0001-9970-3045

Funding

EuroQol Research Foundation 377-VS
6 · The paper itself

Abstract

objectivesThe aim of this valuation study was to produce a value set to support the use of EQ-5D-5L data in decision making in Slovenia.

methodsThe study design followed the published EuroQol research protocol, and a quota sample was defined according to age, sex, and region. Overall, 1012 adult respondents completed 10 time trade-off and seven discrete choice experiment tasks in face-to-face interviews. The Tobit model was used to analyse the composite time trade-off (cTTO) data in order to generate values for the 3125 EQ-5D-5L health states.

resultsThe data showed logical consistency, with more severe states being given lower values. The greatest disutility was shown in the pain/discomfort and anxiety/depression dimensions. In the EQ-5D-5L value set, the values range from -1.09 to 1. With the exception of UA5 (unable to perform usual activities), all other levels on all health dimensions were statistically different from 0 and from each other. Compared with the existing EQ-5D-3L value set, there is a slightly lower share of 'worse than dead' states (32.1% compared with 33.7%) and the minimum value is lower.

conclusionsResults have important implications for users of the EQ-5D-5L in Slovenia and regions. It is a robust and up-to-date value set and should be the preferred value set used in adults in Slovenia and in neighbouring countries without their own value set.

Indexed as

Health StatusQuality of LifeAdultHumansResearch DesignSloveniaSurveys and Questionnaires

Identifiers

PMID37341959
PMCPMC10570207

What OpenQuestion holds

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LicenceCC BY-NC
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.