Evidence map›Paper›PMID 40317454›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2025

EuroQol data for assessment of population health needs and instrument evaluation (EQ-DAPHNIE): a study for enhancing population health assessment.

Jeffrey A Johnson, Mathieu F Janssen, Fatima Al Sayah, Henry Bailey, Mihir Gandhi, Dominik Golicki, Nils Gutacker, Erica Lubetkin, Brendan Mulhern, Fredrick Dermawan Purba and 7 more

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2025. 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. Comparative performance of the EQ-5D-5L, EQ-HWB, and PROMIS-10 in screening for history of anxiety and depression in the general adult population in 15 countries.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  2. Challenges with interviewer administration of EQ-5D questionnaires in a large-scale population survey in China: a qualitative analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  3. Comparative performance of EQ-5D-5L bolt-ons in China and the Netherlands: results from the EQ-DAPHNIE project.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  4. Measuring inequality in quality of life: further evidence that the EQ-5D-5L may underestimate it.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  5. Population norms for the EQ-5D-3L and EQ-5D-5L in Peninsular Malaysia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  6. Design and implementation of data quality controls in the EQ-DAPHNIE study: insights from the pilot phase and 15-country analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    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

17 authors.

Jeffrey A JohnsonSchool of Public Health, University of Alberta, Edmonton, AB, Canada. jeff.johnson@ualberta.ca.ORCID http://orcid.org/0000-0001-8290-2857
Mathieu F JanssenEuroQol Research Foundation, Rotterdam, The Netherlands.
Fatima Al SayahUniversity of Alberta, Edmonton, Canada.
Henry BaileyThe University of the West Indies, St. Augustine, Trinidad and Tobago.
Mihir GandhiDuke-NUS Medical School, Singapore, Singapore.
Dominik GolickiMedical University of Warsaw, Warszaw, Poland.
Nils GutackerCentre for Health Economics, University of York, York, UK.
Erica LubetkinCUNY School of Medicine, New York, USA.
Brendan MulhernUniversity of Technology Sydney, Sydney, Australia.
Fredrick Dermawan PurbaUniversitas Padjadjaran, Jatinangor, Indonesia.
Juan M Ramos-GoñiDecision Analysis and Support Unit, SGH, Warsaw School of Economics, Warszaw, Poland.
Desiree ScottUniversity of Cape Town, Cape Town, South Africa.
Hilary ShortUniversity of Alberta, Edmonton, Canada.
Trudy SullivanUniversity of Otago, Dunedin, New Zealand.
Rosalie VineyUniversity of Technology Sydney, Sydney, Australia.
Zhihao YangGuizhou Medical University, Guiyang, China.
Victor ZárateMerck & Co., Santiago, Chile.

Funding

Research Center in Minority Institutions (RCMI) at City CollegeU54MD017979 · NIMHD · CITY COLLEGE OF NEW YORK · PI M. Felice Marina GHILARDI · 2024 to 2026
$15.9M
EuroQol Research Foundation 367-RANIMHD NIH HHS U54 MD017979
6 · The paper itself

Abstract

backgroundMethods for collecting self-reported health status measures in population health surveys vary significantly across countries, presenting challenges to comparability. The EuroQol Data for Assessment of Population Health Needs and Instrument Evaluation (EQ-DAPHNIE) project aims to address this issue by developing infrastructure to generate representative datasets across multiple countries. This initiative aims to standardize data collection methodologies and to evaluate the performance of various health status measures, providing a foundation for reliable population health assessments. This paper describes the rationale, design and data collection methods for the EQ-DAPHNIE project. METHODS/

designEQ-DAPHNIE employs a cross-sectional online survey design targeting the general adult population across various countries. Participants were recruited through an online panel provider. Each country had a target sample of 4500 responses, with quota sampling to ensure representativeness based on age, sex, income, region, and language. The survey collected comprehensive data on social determinants of health at both individual and neighbourhood levels. Participation was voluntary, and measures were taken to maintain data anonymity and ensure data quality through pre-testing and various quality assurance approaches. DISCUSSION: The EQ-DAPHNIE project represents a significant advancement in generating large, representative, and comparable population health datasets across multiple countries. By employing precise sampling strategies, robust recruitment and data collection methods, and rigorous quality control measures, the project aims to provide a valuable resource for assessing and understanding population health and evaluating various health-related quality of life (HRQoL) and wellbeing instruments.

Indexed as

Health StatusHealth SurveysNeeds AssessmentPopulation HealthQuality of LifeAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPsychometricsSurveys and QuestionnairesYoung AdultASCOTEQ-5DEQ-HWBICECAP-AInstrument comparisonPopulation health assessmentPROMIS-10WHO-5

Identifiers

PMID40317454
PMCPMC12689827

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.