Evidence map›Paper›PMID 36348155›Full record

ArticlePharmacoEconomics2022

Estimating an EQ-5D-Y-3L Value Set for Indonesia by Mapping the DCE onto TTO Values.

Titi Sahidah Fitriana, Bram Roudijk, Fredrick Dermawan Purba, Jan J V Busschbach, Elly Stolk

Open access · hybridAbstract read
In one paragraph

Article in PharmacoEconomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
7.4field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. 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
    Article
  5. Value set of EQ-5D-Y-3L for Hong Kong.Health and quality of life outcomes · 2026
    Article
  6. An Australian Value Set for the EQ-5D-Y-3L.Health and quality of life outcomes · 2025
    Article
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  13. Understanding Canadian stakeholders' views on measuring and valuing health for children and adolescents: a qualitative study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    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 at 4 institutions in 2 countries.

Titi Sahidah FitrianaSection Medical Psychology and Psychotherapy, Department of Psychiatry, Erasmus MC University Medical Center, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands. t.fitriana@erasmusmc.nl.ORCID 0000-0001-5062-6886
Bram RoudijkEuroQol Research Foundation, Rotterdam, The Netherlands.
Fredrick Dermawan PurbaDepartment of Developmental Psychology, Faculty of Psychology, Universitas Padjadjaran, Jatinangor, Indonesia.
Jan J V BusschbachSection Medical Psychology and Psychotherapy, Department of Psychiatry, Erasmus MC University Medical Center, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands.
Elly StolkEuroQol Research Foundation, Rotterdam, The Netherlands.
EuroQol Research Foundation · NLErasmus MC · NLPadjadjaran University · IDYarsi University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesMethods for estimating health values in adult populations are well developed, but lag behind in children. The EuroQol standard protocol to arrive at value sets for the youth version of the EQ-5D-Y-3L combines discrete choice experiments with ten composite time trade-off values. Whether ten composite time trade-off values are sufficient remains to be seen and this is one of the reasons the protocol allows for experimental expansion. In this study, 23 health states were administered for the composite time trade-off. This methodological research is embedded in a study aimed at generating a representative value set for EQ-5D-Y-3L in Indonesia.

methodsA representative sample of 1072 Indonesian adults each completed 15 discrete choice experiment choice pairs via face-to-face interviews. The discrete choice experiment responses were analysed using a mixed-logit model. To anchor the discrete choice experiment values onto the full health-dead quality-adjusted life-year scale, composite time trade-off values were separately obtained from 222 adults living in Java for 23 EQ-5D-Y-3L states. The derived latent discrete choice experiment values were mapped onto the mean observed composite time trade-off values to create a value set for the EQ-5D-Y-3L. Linear and non-linear mapping models were explored to estimate the most efficient and valid model for the value set.

resultsCoefficients obtained from the choice model were consistent with the monotonic structure of the EQ-5D-Y-3L instrument. The composite time trade-off data showed non-linearity, as the values for the two worst states being evaluated were much lower than predicted by a standard linear model estimated over all composite time trade-off data. Thus, the non-linear mapping strategies with a power term outperformed the linear mapping in terms of mean absolute error. The final model gave a value range from 1.000 for full health (11111) to - 0.086 for the worst health state (33333). Values were most affected by pain/discomfort and least by self-care.

conclusionsThis article presents the first EQ-5D-Y-3L value set for Indonesia based on the stated preferences of adults asked to consider their views about a 10-year-old child. Mapping the mixed-logit discrete choice experiment model with the inclusion of a power term (without a constant) allowed us to generate a consistent value set for Indonesian youth. Our findings support the expansion of the composite time trade-off part of the EQ-5D-Y valuation study design and show that it would be wise to account for possible non-linearities in updates of the design.

Indexed as

Quality of LifeAdolescentAdultChildHumansIndonesiaQuality-Adjusted Life YearsSurveys and Questionnaires

Identifiers

PMID36348155
PMCPMC9758088
OpenAlexW4308558743

What OpenQuestion holds

Textmetadata
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.