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      A pilot study on the validity and psychometric properties of the electronic EQ-5D-5L in routine clinical practice

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          Abstract

          Background

          Electronic measurement of health-related quality of life (HRQOL) may facilitate timely and regular assessments in routine clinical practice. This study evaluated the validity and psychometric properties of an electronic version of the EQ-5D-5L (e-EQ-5D-5L) in Chinese patients with chronic knee and/or back problems.

          Methods

          151 Chinese subjects completed an electronic version of the Chinese (Hong Kong) EQ-5D-5L when they attended a primary care or orthopedics specialist out-patient clinic in Hong Kong. They also completed the Chinese Western Ontario and McMaster University Osteoarthritis Index (WOMAC), a Pain Rating Scale, and a structured questionnaire on socio-demographics, co-morbidities and health service utilization. 32 subjects repeated the e-EQ-5D-5L two weeks after the baseline. 102 subjects completed e-EQ-5D-5L and 99 completed the Global Rating on Change Scale at three-month clinic follow up. Construct validity was assessed by the association of EQ-5D-5L scores with external criterion of WOMAC scores. We tested mean differences of WOMAC scores between adjacent response levels of the EQ-5D-5L dimensions by one-way ANOVA, test–retest reliability by intra-class correlation, sensitivity by known group comparisons and responsiveness by changes in EQ-5D-5L scores over 3 months.

          Results

          There was an association between EQ-5D-5L and WOMAC scores. Mean WOMAC scores increased with the increase in adjacent response levels of EQ-5D-5L dimensions. Test–retest intraclass correlation coefficient (ICC) of EQ-5D-5L utility and EQ-VAS scores were 0.76 and 0.83, respectively, indicating good reliability. There were significant differences in the proportions reporting limitations in the EQ-5D-5L dimensions, the utility and VAS scores between the mild and severe pain groups (utility = 0.28, p = 0.001; VAS = 11.46, p < 0.001), and between primary care and specialist out-patient clinic patients (utility = 0.15, p = 0.001; VAS = 10.21, p < 0.001), supporting sensitivity. Among those reporting ‘better’ global health at three-months, their EQ-5D-5L utility and EQ-VAS scores were significantly increased from baseline (utility = 0.18, p < 0.001; VAS = 10.75, p = 0.005).

          Conclusions

          The electronic version of the EQ-5D-5L is valid, reliable, sensitive and responsive in the measurement of HRQOL in Chinese patients with chronic knee or back pain in routine clinical practice.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12955-021-01898-3.

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          Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L)

          Purpose This article introduces the new 5-level EQ-5D (EQ-5D-5L) health status measure. Methods EQ-5D currently measures health using three levels of severity in five dimensions. A EuroQol Group task force was established to find ways of improving the instrument’s sensitivity and reducing ceiling effects by increasing the number of severity levels. The study was performed in the United Kingdom and Spain. Severity labels for 5 levels in each dimension were identified using response scaling. Focus groups were used to investigate the face and content validity of the new versions, including hypothetical health states generated from those versions. Results Selecting labels at approximately the 25th, 50th, and 75th centiles produced two alternative 5-level versions. Focus group work showed a slight preference for the wording ‘slight-moderate-severe’ problems, with anchors of ‘no problems’ and ‘unable to do’ in the EQ-5D functional dimensions. Similar wording was used in the Pain/Discomfort and Anxiety/Depression dimensions. Hypothetical health states were well understood though participants stressed the need for the internal coherence of health states. Conclusions A 5-level version of the EQ-5D has been developed by the EuroQol Group. Further testing is required to determine whether the new version improves sensitivity and reduces ceiling effects.
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            <i>Statistical Power Analysis</i> is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: <br> * a chapter covering power analysis in set correlation and multivariate methods;<br> * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;<br> * expanded power and sample size tables for multiple regression/correlation.<br>
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              Psychometric Theory.

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                Author and article information

                Contributors
                emilyht@hku.hk
                Journal
                Health Qual Life Outcomes
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central (London )
                1477-7525
                18 December 2021
                18 December 2021
                2021
                : 19
                : 266
                Affiliations
                [1 ]GRID grid.440671.0, ISNI 0000 0004 5373 5131, Department of Family Medicine, , The University of Hong Kong Shenzhen Hospital, ; Shenzhen, China
                [2 ]GRID grid.194645.b, ISNI 0000000121742757, Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, , The University of Hong Kong, ; 3/F, Ap Lei Chau Clinic, 161 Main Street, Ap Lei Chau, Hong Kong, SAR China
                [3 ]GRID grid.194645.b, ISNI 0000000121742757, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, , The University of Hong Kong, ; Hong Kong, SAR China
                [4 ]GRID grid.194645.b, ISNI 0000000121742757, Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, , The University of Hong Kong, ; Hong Kong, SAR China
                [5 ]GRID grid.194645.b, ISNI 0000000121742757, Industrial and Manufacturing Systems Engineering, Faculty of Engineering, , The University of Hong Kong, ; Hong Kong, SAR China
                [6 ]GRID grid.83440.3b, ISNI 0000000121901201, Department of Applied Health Research, Institute of Epidemiology and Health Care, , University College London, ; London, UK
                Author information
                http://orcid.org/0000-0001-7409-9507
                Article
                1898
                10.1186/s12955-021-01898-3
                8684117
                34922564
                9974e4bf-c58a-4ce2-8c0d-ceeffb281f51
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 4 May 2021
                : 28 November 2021
                Funding
                Funded by: Hong Kong Research Grant Council
                Award ID: 17100119
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Health & Social care
                health-related quality of life,psychometrics,musculoskeletal problem,electronic eq-5d-5l,clinical practice

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