Evidence map›Paper›PMID 39225720›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2025

Valuation of the EQ-5D-3L in Jordan.

Abeer Al Rabayah, Bram Roudijk, Fredrick Dermawan Purba, Fanni Rencz, Saad Jaddoua, Uwe Siebert

Abstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Factors associated with health state valuations: a secondary analysis of an EQ-5D-3L valuation study from Jordan.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  5. Article
  6. Article
  7. Observational
  8. Article
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

6 authors.

Abeer Al RabayahInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research, and Health Technology Assessment, UMIT TIROL - University for Health Sciences and Technology, Hall in Tirol, Austria. Abeer-Ahmad-Hamdan.Al-Rabayah@umit-tirol.at.ORCID http://orcid.org/0000-0003-2952-9103
Bram RoudijkEuroQol Research Foundation, Rotterdam, The Netherlands.
Fredrick Dermawan PurbaFaculty of Psychology, Padjadjaran University, Bandung, Indonesia.
Fanni RenczDepartment of Health Policy, Corvinus University of Budapest, Budapest, Hungary.
Saad JaddouaPharmacy Department, King Hussein Cancer Center, Amman, Jordan.
Uwe SiebertInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research, and Health Technology Assessment, UMIT TIROL-University for Health Sciences and Technology, Hall in Tirol, Austria.

Funding

EuroQol Research Foundation 60-2020VS
6 · The paper itself

Abstract

backgroundIn Jordan, no national value set is available for any preference-accompanied health utility measure.

objectiveThis study aims to develop a value set for EQ-5D-3L based on the preferences of the Jordanian general population.

methodsA representative sample of the Jordanian general population was obtained through quota sampling involving age, gender, and region. Participants aged above 18 years were interviewed via videoconferencing using the EuroQol Valuation Technology 2.1 protocol. Participants completed ten composite time trade-offs (cTTO) and ten discrete choice experiments (DCE) tasks. cTTO and DCE data were analyzed using linear and logistic regression models, respectively, and hybrid models were applied to the combined DCE and cTTO data.

resultsA total of 301 participants with complete data were included in the analysis. The sample was representative of the general population regarding region, age, and gender. All model types applied, that is, random intercept model, random intercept Tobit, linear model with correction for heteroskedasticity, Tobit with correction for heteroskedasticity, and all hybrid models, were statistically significant. They showed logical consistency in terms of higher utility decrements with more severe levels. The hybrid model corrected for heteroskedasticity was selected to construct the Jordanian EQ-5D-3L value set as it showed the best fit and lowest mean absolute error. The predicted value for the most severe health state (33333) was - 0.563. Utility decrements due to mobility had the largest weight, followed by anxiety/depression, while usual activities had the smallest weight.

conclusionThis study provides the first EQ-5D-3L value set in the Middle East. The Jordanian EQ-5D-3L value set can now be used in health technology assessments for health policy planning by the Jordanian health sector's decision-makers.

Indexed as

Health StatusQuality of LifeAdolescentAdultAgedFemaleHumansJordanMaleMiddle AgedPatient PreferenceQuality-Adjusted Life YearsSurveys and QuestionnairesYoung AdultCost-utilityEQ-5D-3LHybrid modelJordanValuationVirtual interviews

Identifiers

PMID39225720
PMCPMC11937146

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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.