ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2025
Design and implementation of data quality controls in the EQ-DAPHNIE study: insights from the pilot phase and 15-country analysis.
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 4 papers.
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4 citing papers in PubMed.
- 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 · 2026Article
- 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 · 2026Article
- 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 · 2026Article
- EQ-5D-5L Iranian population norms derived from the local value set during the COVID-19 pandemic.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
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Abstract
objectiveThe EQ-DAPHNIE (EuroQol Data for Assessment of Population Health Needs and Instrument Evaluation) project is a large, multi-country survey initiative designed to generate population norms and enable comparative research using self-reported health measures. This paper describes the quality control processes and summarizes data quality metrics from the United Kingdom (UK) pilot and full implementation across 15 countries.
methodsRepresentative samples were recruited via Dynata, an online survey panel provider, using quota sampling by age, sex, income, community setting, and language (where applicable). The UK pilot (n = 3012) informed survey refinements ahead of full rollout (n = 68,411). Quality metrics included completion rates, bot detection, speeding, missing data, outliers, and quota achievement.
resultsAcross countries, response rates ranged from 80.1 to 100%, with completion rates varying widely (22.9% in Brazil to 60.8% in Japan; average 42.4%). Bot exclusions averaged 3.0%, peaking in China (11.7%). Speeding was low (0.3% average), and duplicate records were rare. Completion times ranged from 18.3 (France) to 31.4 min (New Zealand). Missing data varied substantially (0.0-48.7%), with Japan and Spain showing the least. Quota fulfillment ranged from 68.7 to 98.6%. Consistency checks showed strong agreement for repeated items-marital status (92.8-98.9%) and age (92.3-98.7%).
conclusionsThe quality control measures implemented throughout the EQ-DAPHNIE project effectively addressed common issues such as bot responses, speeding, and missing data, resulting in generally high-quality and representative datasets. However, variability across countries underscores the need to account for quality indicators when using the data for norm-setting or cross-country comparisons.
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