Background: No systematic country-level comparison has been undertaken between crosswalk- and EQ-VT-derived EQ-5D-5L value sets. Crosswalk values can differ from EQ-VT-based EQ-5D-5L value sets owing to valuation protocols, changes in societal preferences over time, and a change in the label of the highest level on mobility in moving from EQ-5D-3L to EQ-5D-5L. This study aimed to compare the five-level (5L) crosswalk and EQ-VT value sets to explore differences between them at the country level.
Methods: From the countries with both time trade-off (TTO)- or discrete choice experiment (DCE) + TTO-based EQ-5D-3L value sets and EQ-VT-based EQ-5D-5L value sets, 19 pairs of EQ-5D-3L/EQ-5D-5L sets were found. For each of these EQ-5D-3L value sets, 5L crosswalk sets were developed and compared with the corresponding national EQ-5D-5L valuation set using correlation analysis, ranges, values of specific states, Bland-Altman plots, and scatter plots. Three of the countries have EQ-5D-3L and EQ-5D-5L valuation data for the same set of respondents. These three cases were analyzed separately, as they provide a "true" test of the differences between the two value sets.
Results: Spearman correlation between the crosswalk and valuation sets ranged from 0.831 to 0.989, being below 0.9 in 11 pairs of value sets. The difference in the percentage of negative values ranged from +22.5 to -18.8%, and the difference in the ranges within each pair of value sets ranged from +42.7 to -18.4%. The average mean absolute difference of values (crosswalk versus EQ-VT) was 0.149. This was below 0.1 in only 5 of the 19 EQ-VT/crosswalk set pairs. For the states comprising one level 5 and four level 1s, no country preserved its ranking of importance of the five dimensions in moving from crosswalk to EQ-VT values. Most of the Bland-Altman plots and scatterplots revealed a pattern that placed states with the highest level on mobility as a separate band from other states.
Discussion: All of the criteria showed poor agreement between the crosswalk- and EQ-VT-based value sets. The differences in labels for the most extreme response option for the mobility dimension leads to substantial differences in values between these value sets.
Conclusions: Crosswalk and EQ-VT value sets should not be used interchangeably, except under circumstances where it is not possible or feasible to conduct a direct EQ-5D-5L valuation study.
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http://dx.doi.org/10.1007/s40258-025-00954-z | DOI Listing |
Appl Health Econ Health Policy
March 2025
EuroQol Research Foundation, Rotterdam, The Netherlands.
Background: No systematic country-level comparison has been undertaken between crosswalk- and EQ-VT-derived EQ-5D-5L value sets. Crosswalk values can differ from EQ-VT-based EQ-5D-5L value sets owing to valuation protocols, changes in societal preferences over time, and a change in the label of the highest level on mobility in moving from EQ-5D-3L to EQ-5D-5L. This study aimed to compare the five-level (5L) crosswalk and EQ-VT value sets to explore differences between them at the country level.
View Article and Find Full Text PDFHealth Qual Life Outcomes
February 2025
Department of Community Medicine, School of Public Health, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh, 160012, India.
Background: Estimation of health-related quality of life (HRQoL) in diabetic retinopathy (DR) patients is important to assess the impact of disease, to monitor the treatment outcomes, and conduct health technology assessments. The study aimed to measure the HRQoL in DR patients using the generic as well as disease specific instruments, identify the determinants of HRQoL, empirically investigate the concurrent validity between the QoL instruments, and to develop statistical approaches to map NEI-VFQ-25 (National Eye Institute- Visual Function Questionnaire- 25) composite score based on EQ-5D-5 L (EuroQol 5-dimensions 5-levels) utility values.
Methods: A facility based cross-sectional study was carried out to measure the HRQoL of 300 DR patients using EQ-5D-5 L, EuroQol visual analogue scale (EQ-VAS), and NEI-VFQ-25 instruments.
Infect Dis Ther
February 2025
Janssen Vaccines and Prevention BV, Archimedesweg 4-6, 2333 CN, Leiden, South Holland, The Netherlands.
Introduction: Invasive Escherichia coli disease (IED) incidence has increased over recent years among aging populations and has rising antimicrobial resistance. Here, we report on a comparative, cross-sectional, retrospective analysis of US patients with IED to quantify IED-related healthcare resource utilization (HCRU), costs, and impact on health-related quality of life (HRQoL).
Methods: This study included Kaiser Permanente Northwest (KPNW) members aged ≥ 60 years enrolled between July 2019 and January 2020.
Qual Life Res
December 2024
Centre for Health Technology and Services Research, CINTESIS, Rua Dr. Plácido da Costa, Porto, 4200-450, Portugal.
Background: The transferability of health policies in the European Union (EU) faces challenges due to economic, political, and healthcare system factors, including cross-country differences in health preferences. In order to aid policymaking, previous research has grouped EU countries based on geographical proximity or literature-based criteria, but not on health preference data. The EQ-5D-5L instrument, which measures health-related quality of life and reflects unique national health preferences shaped by cultural and social factors, is used to evaluate policies, technologies and interventions, but has not been used to group countries.
View Article and Find Full Text PDFThyroid
November 2024
Department of Nuclear Medicine, Medical University of Innsbruck, Austria.
Health economic appraisals often rely on the assessment of health utilities using preference-based measures (PBM). The cancer-specific PBM, European Organisation for Research and Treatment of Cancer Quality of Life Utility - Core 10 Dimensions (EORTC QLU-C10D), was developed recently, and now needs to be validated in various clinical populations. In a multicenter, multinational prospective cohort study, we longitudinally collected EORTC QLQ-C30 and EQ-5D-5L data from patients with thyroid cancer.
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