Evidence map›Paper›PMID 33713323›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2021

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

Vitaly Omelyanovskiy, Nuriya Musina, Svetlana Ratushnyak, Tatiana Bezdenezhnykh, Vlada Fediaeva, Bram Roudijk, Fredrick Dermawan Purba

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Valuation of the EQ-5D-3L in Jordan.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  5. The EQ-5D-3L valuation study for Bermuda: using an on-line EQ-VT protocol.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  6. Article
  7. The EORTC QLU-C10D is a valid cancer-specific preference-based measure for cost-utility and health technology assessment in the Netherlands.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  8. Health-related quality of life assessed by EQ-5D-5L and its determinants among rural adults: result from the Henan rural cohort study.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  9. Eliciting a value set for the Swedish Capability-Adjusted Life Years instrument (CALY-SWE).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  10. The EQ-5D-3L Valuation Study in Pakistan.PharmacoEconomics - open · 2023
    Article
  11. 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

7 authors.

Vitaly OmelyanovskiyCenter of Healthcare Quality Assessment and Control, Ministry of Health of the Russian Federation, Moscow, Russia.
Nuriya MusinaCenter of Healthcare Quality Assessment and Control, Ministry of Health of the Russian Federation, Moscow, Russia.
Svetlana RatushnyakCenter of Healthcare Quality Assessment and Control, Ministry of Health of the Russian Federation, Moscow, Russia. svetlanarshk@gmail.com.
Tatiana BezdenezhnykhCenter of Healthcare Quality Assessment and Control, Ministry of Health of the Russian Federation, Moscow, Russia.
Vlada FediaevaCenter of Healthcare Quality Assessment and Control, Ministry of Health of the Russian Federation, Moscow, Russia.
Bram RoudijkEuroQol Research Foundation, Rotterdam, the Netherlands.
Fredrick Dermawan PurbaFaculty of Psychology, Universitas Padjadjaran, Jatinangor, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe most widely used generic questionnaire to estimate the quality of life for yielding quality-adjusted life years in economic evaluations is EQ-5D. Country-specific population value sets are required to use EQ-5D in economic evaluations. The aim of this study was to establish an EQ-5D-3L value set for Russia.

methodsA representative sample aged 18+ years was recruited from the Russia`s general population. Computer-assisted face-to-face interviews were conducted based on the standardized valuation protocol using EQ-Portable Valuation Technology. Population preferences were elicited utilizing both composite time trade-off (cTTO) and discrete choice experiment (DCE) techniques. To estimate the value set, a hybrid regression model combining cTTO and DCE data was used.

resultsA total of 300 respondents who successfully completed the interview were included in the primary analysis. 120 (40.0%) respondents reported no health problems of any dimension, and 56 (18.7%) reported moderate health problems in one dimension of the EQ-5D-3L. Median self-rated health using EQ-VAS was 80 with IQR 70-90. Comparing cTTO and DCE-predicted values for 243 health states resulted in a similar pattern. This supports the use of hybrid models. The predicted value based on the preferred model for the worst health state "33333" was -0.503. Mobility dimension had the most significant impact on the utility decrement, and anxiety/depression had the lowest decrement.

conclusionDetermining a Russian national value set may be considered the first step towards promoting cost-utility analysis use to increase comparability among studies and improve the transferability of healthcare decision-making in Russia.

Indexed as

Quality-Adjusted Life YearsAdolescentAdultAgedCost-Benefit AnalysisFemaleHumansMaleMiddle AgedQuality of LifeResearch DesignRussiaYoung AdultComposite time trade-offDiscreet choice experimentEQ-5D-3L valuationPopulation preferenceUtility measurement

Identifiers

PMID33713323
PMCPMC8233249

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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.