This article introduces the new 5-level EQ-5D (EQ-5D-5L) health status measure. 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. 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. 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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Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L)

The Task Force for the management of atrial fibrillation of the European Society of Cardiology (ESC)  

Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC  

Endorsed by the European Stroke Organisation (ESO)

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2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS

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2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS: The Task Force for the management of atrial fibrillation of the European Society of Cardiology (ESC). Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Endorsed by the European Stroke Organisation (ESO)

ESC guidelines for the management of atrial fibrillation developed in collaboration with EACTS

6-month consequences of COVID-19 in patients discharged from hospital: a cohort study.

Fatigue is a common and often disturbing sequela of serious chronic health conditions. In the widely applied HRQL instrument, the EQ-5D, this aspect is not included directly, for its assumed lack of additional information. We investigated the validity of this assumption by determining the gain-if any-of an additional fatigue item to the EQ-5D-5L in a general population sample.A Dutch general population sample (including diseased people) completed a web-based survey including the EQ-5D-5L and the Rivermead Post-Concussion Symptoms Questionnaire (RPQ). The RPQ fatigue item was used to create the EQ-5D-5L + Fatigue. We head-to-head compared the psychometric performance contrasting the EQ-5D-5L and EQ-5D-5L + Fatigue: distribution (e.g. ceiling), informativity cf. Shannon's indices, convergent validity, domain dependency, and explanatory power. Results were compared between subgroups with and without ≥ 1 chronic health condition.The study population consisted of 3027 persons of whom 52% had a chronic health condition. The mean EQ-5D-5L utility score was 0.83 and 48% experienced some degree of fatigue. Adding the fatigue item to the EQ-5D-5L decreased the ceiling effect, increased absolute informativity (H' = 6.44 vs. H' = 4.90) and relative informativity (J' = 0.46 vs. J' = 0.42). The extra fatigue item slightly increased convergent validity (Spearman's rank correlation coefficient = - 0.61 vs. - 0.62). Domain dependency analysis showed that all EQ-5D-5L domains are dominant over the fatigue item. Explanatory power of the EQ-5D-5L + Fatigue was higher compared to the EQ-5D-5L (R2 = 0.42 vs. 0.39). The gain is substantially larger in the subgroup with chronic health conditions.Adding a fatigue item to the EQ-5D-5L improved all psychometric performance criteria of the enriched instrument in the general population. Effects are substantially larger in the subgroup with chronic health conditions, indicating that adding a fatigue item to the EQ-5D-5L is especially relevant in evaluating the HRQL of diseased people. 

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Adding a fatigue item to the EQ-5D-5L improves its psychometric performance in the general population

Objectives There has been a growing interest in the use of EQ-5D health outcomes measures in Latin America and the Caribbean. Population norms data provide a benchmark against which clinicians, researchers, and policy makers can compare the health status of patient, treatment, or demographic groups. This study aimed to provide EQ-5D-5L population norms for Belize. Methods The EQ-5D-5L questionnaire was included in a national survey in Belize in 2014. The survey also captured key demographic variables. EQ-5D-5L health states, EQ-5D visual analog scale (EQ VAS) scores, and EQ-5D-5L index values (based on the Trinidad and Tobago value set) were obtained for key demographic groups in Belize. Results A representative sample of 2078 respondents completed the survey. The mean index value, EQ VAS score, and ceiling level for Belize were 0.947, 82.6, and 67.8%, respectively. Similar to other Caribbean countries, Belizeans self-reported relatively high EQ VAS scores and ceiling levels compared with non-Caribbean regions. Men reported generally higher health status than women, health status declined as age rises, and the dimensions with the highest burden were pain/discomfort and mobility. Conclusions This study provides researchers and practitioners in Belize with tools to use EQ-5D-5L. Users can apply the EQ VAS scores and EQ-5D-5L states presented herein as reference values. Until an EQ-5D-5L value set is created for Belize, the Trinidad and Tobago index values can be applied to Belizean-reported EQ-5D-5L states, which can then be compared with the index values presented in this study.

Health-Related Quality of Life Population Norms for Belize Using EQ-5D-5L.

Introduction The effects of the COVID-19 pandemic caused considerable psychological and physical effects in healthy and diseased New Yorkers aside from the effects in those who were infected. We investigated the relationship between known risk-enhancing and health-promoting factors (social and medical), comorbidity indicators, and, as the primary outcome, health-related quality of life (HRQoL). Methods Between April 22 and May 5, 2020, a market research agency (Dynata) administered a digital survey including the EQ-5D-5L and items related to individual characteristics, social position, occupational and insurance status, living situation, exposures (smoking and COVID-19), detailed chronic conditions, and experienced access to care to an existing internet panel representative of New Yorkers. Results 2684 persons completed the questionnaire. The median age was 48 years old, and most respondents were non-Hispanic white (74%) and reported at least higher vocational training or a university education (83%). During COVID-19, mean HRQoL scores were 0.82 for the EQ-5D-5L index and 79.3 for the EQ VAS. Scores varied for healthy and diseased respondents differently by the above determinants. Lower age, impaired occupational status, loss of health insurance, and limited access to care exerted more influence on EQ-5D-5L scores of diseased persons compared to healthy persons. Among diseased persons, the number of chronic conditions and limited access to health care had the strongest association with EQ-5D-5L scores. While EQ-5D-5L scores improved with increasing age, gender had no noticeable effect. Deprivation factors showed moderate effects, which largely disappeared in (stratified) multivariable analysis, suggesting mediation through excess chronic morbidity and poor healthcare access. Generally, modifying effects were larger in the EQ-5D-5L as compared to the EQ VAS. Conclusions Almost all factors relating to a disadvantaged position showed a negative association with HRQoL. In diseased respondents, pre-existing chronic comorbidity and experienced access to health care are key factors.

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Health inequities as measured by the EQ-5D-5L during COVID-19: Results from New York in healthy and diseased persons

To determine feasibility and validity of the EQ-5D-3L in the elderly European population.Secondary data analysis based on the study of health, ageing, and retirement in Europe (SHARE) to determine the percentage of missing items for EQ-5D dimensions and EQ VAS, and to demonstrate convergent/divergent validity with measures included in the SHARE survey. Known-groups validity was tested using literature-based hypotheses. Correlation coefficients and Cohen's f are reported.Missing values were below 3% across all EQ-5D dimensions and gender strata, slightly increasing with age. Individuals' responses to each EQ-5D dimension were related to their ratings of other measures in expected directions. The EQ VAS and all EQ-5D dimensions (except anxiety/depression) moderately to strongly correlated with physical [e.g. number of limitations in activities of daily living (ADL): r = 0.313-0.658] and generic measures [CASP (control, autonomy, self-realization, pleasure)-19 scale, self-perceived health, number of symptoms: r = 0.318-0.622], while anxiety/depression strongly correlated with the EURO-D scale (r = 0.527). Both EQ-5D dimensions and EQ VAS discriminated well between two [or more] groups known to differ [e.g. anxiety/depression discriminated well between persons classified as depressed/not depressed using the EURO-D scale, f = 0.51; self-care differentiated best between individuals without and with 1 + ADL limitations, f = 0.69]. Sociodemographic variables like gender, education, and partner in household were hardly associated with EQ VAS scores (f < 0.25).With item non-response of less than 3%, good discriminatory, and construct properties, the EQ-5D-3L showed to be a feasible and valid measure in the elderly Europeans. 

https://link.springer.com/content/pdf/10.1007/s11136-022-03158-3.pdf

Mathieu F. Janssen

Papers

Adding a fatigue item to the EQ-5D-5L improves its psychometric performance in the general population

Health-Related Quality of Life Population Norms for Belize Using EQ-5D-5L.

Health inequities as measured by the EQ-5D-5L during COVID-19: Results from New York in healthy and diseased persons

Feasibility and validity of the EQ-5D-3L in the elderly Europeans: a secondary data analysis using SHARE(d) data

A Head-to-Head Comparison of the Standard Quality-Adjusted Life Year Model With the Annual Profile Model