Estimation of an Instrument-Defined Minimally Important Difference in EQ-5D-5L Index Scores Based on Scoring Algorithms Derived Using the EQ-VT Version 2 Valuation Protocols

Henry, Edward; Barry, Luke; Hobbins, Anna; McClure, Nathan S.; O’Neill, Ciarán

doi:10.1016/j.jval.2020.03.003

Cited by 32 publications

(22 citation statements)

References 37 publications

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“…The largest difference between the present and previous values was observed in the age group of 60 to 69 years; nevertheless, the difference was only 0.024, which is smaller than the minimal clinically important difference for the EQ-5D-5L. 27…”

Section: Response Rate and Demographic Factorscontrasting

confidence: 62%

Japanese Population Norms of EQ-5D-5L and Health Utilities Index Mark 3: Disutility Catalog by Disease and Symptom in Community Settings

2021

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This study aimed to establish the Japanese population norms of the EQ-5D-5L and Health Utilities Index Mark 3 (HUI3) and estimate the disutility associated with diseases and symptoms.Methods: We performed a door-to-door survey of the general population by random sampling. The planned sample size was 10 000 residents (age $16 years) of 334 districts in Japan. In addition to the EQ-5D-5L and HUI3 questionnaires, questions regarding demographic factors and self-reported main diseases and symptoms were asked. The EQ-5D-5L and HUI3 responses were converted to index values on the basis of Japanese value sets. Summary values by age and sex were calculated to obtain Japanese normative values. A multiple linear model was used to examine relationships between these values and diseases and symptoms.Results: We collected 10 183 responses from 334 districts. The mean EQ-5D-5L index values were 0.821 (male) and 0.774 (female) in the age group of 80 to 89 years, which were lower compared with 0.978 (male) and 0.967 (female) in the age group of 16 to 19 years. Similar trends were observed for the HUI3 values. Age, sex, household income, and education level had a significant influence on the values of both instruments. When measured with the EQ-5D-5L, Parkinson disease, dementia, and stroke were associated with the largest disutility (.0.2), and the disutility for depression was approximately 0.18. In contrast, the HUI3 disutility values for Parkinson disease and dementia were approximately 0.4. Conclusions:This study established the Japanese population norms of the EQ-5D-5L and HUI3, which can be used in healthcare decision making and contribute to a more reliable analysis of economic evaluations.

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Section: Response Rate and Demographic Factorscontrasting

confidence: 62%

Japanese Population Norms of EQ-5D-5L and Health Utilities Index Mark 3: Disutility Catalog by Disease and Symptom in Community Settings

2021

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“…For example, it is likely that a disutility value of 0.1 estimated by EQ-5D-Y does not correspond to a similar degree of deterioration of the health states as a disutility value of 0.1 measured by the adult EQ-5D instrument. Although the minimal important difference of EQ-5D-Y has not been reported yet, it could be smaller than that of adult EQ-5D [34]. These differences should be taken into consideration while interpreting our results; problems may arise if these differences are ignored.…”

Section: Discussionmentioning

confidence: 80%

EQ-5D-Y Population Norms for Japanese Children and Adolescents

Shiroiwa

Fukuda

2021

PharmacoEconomics

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Objective This study was aimed at establishing population norms of EQ-5D-Y in Japan by a nationwide large sample survey. Methods We performed a door-to-door survey by visiting the homes of children/adolescents aged 8-15 years selected by random sampling. The planned sample size was 3600 from 100 districts in Japan. Children/adolescents were asked to respond to the EQ-5D-Y instrument, and their parents, to background questions on themselves and their children. Summary statistics by age/sex were calculated to obtain the Japanese population norms. A multiple linear regression model was used to examine the relationships between the EQ-5D-Y index and their parents' demographic factors, the children/adolescents' diseases/symptoms and the family environment. Results We collected 3636 responses from 100 districts. The overall EQ-5D-Y index values (all sexes, ages) ranged from 0.90 to 0.95. The percentage of respondents reporting full health ranged from 40 to 60%. In regard to the influence of the children/adolescents' diseases/symptoms on disutility, developmental disability showed the largest disutility values of 0.090. Sleeplessness and body pain were the symptoms that exerted the greatest influence on the EQ-5D-Y index; the effect sizes ranged from − 0.030 to − 0.098 for sleeplessness, and from − 0.023 to − 0.079 for body pain. The EQ-5D-Y index of children/adolescents with parents who reported severe stress was lower by 0.072 (p < 0.001), as compared with that of children/ adolescents with parents reporting no stress. Conclusions Population norms of EQ-5D-Y were established for the first time. We also clarified the relationship between the EQ-5D-Y index value and the children/adolescents' diseases/symptoms and the family environment.

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“…No data were found analysing the convergence of the EQ-5D index values with declared diabetes in the general population. In Henry et al [82] authors estimated the minimally important difference (MID) for EQ-5D-5L scoring algorithms, including that from the Polish population. The mean result was 0.080 (0.030).…”

Section: Discussionmentioning

confidence: 99%

Validity of the EQ-5D-5L questionnaire among the general population of Poland

Młyńczak

Golicki

2020

Qual Life Res

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Purpose We aim to compare the psychometric properties of the EQ-5D-5L questionnaire with the EQ-5D-3L version and EQ VAS, based on a survey conducted in a sample representing the general adult population of Poland. Methods The survey comprised health-related quality of life (HRQoL) questionnaires: EQ-5D-5L, EQ VAS, SF-12 and EQ-5D-3L, together with demographic and socio-economic characteristics items. The EQ-5D index values were estimated based on a directly measured value set for Poland. The following psychometric properties were analysed: feasibility, distribution of responses, redistribution from EQ-5D-3L to EQ-5D-5L, inconsistencies, ceiling effects, informativity power and construct validity. We proposed a novel approach to the construct validity assessment, based on the use of a machine learning technique known as the random forest algorithm. Results From March to June 2014, 3978 subjects (aged 18–87, 53.2% female) were surveyed. The EQ-5D-5L questionnaire had a lower ceiling effect compared to EQ-5D-3L (38.0% vs 46.6%). Redistribution from EQ-5D-3L to EQ-5D-5L was similar for each dimension, and the mean inconsistency did not exceed 5%. The results of known-groups validation confirmed the hypothesis concerning the relationship between the EQ-5D index values and age, sex and occurrence of diabetes. Conclusions The EQ-5D-5L, in comparison with its EQ-5D-3L equivalent, showed similar or better psychometric properties within the general population of a country. We assessed the construct validity of the questionnaire with a novel approach that was based on a machine learning technique known as the random forest algorithm.

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Estimation of an Instrument-Defined Minimally Important Difference in EQ-5D-5L Index Scores Based on Scoring Algorithms Derived Using the EQ-VT Version 2 Valuation Protocols

Abstract: Objectives: To estimate and compare the minimally important difference (MID) in index score of country-specific EQ-5D-5L scoring algorithms developed using EuroQol Valuation Technology protocol version 2, including algorithms from Germany,

Cited by 32 publications

References 37 publications

Japanese Population Norms of EQ-5D-5L and Health Utilities Index Mark 3: Disutility Catalog by Disease and Symptom in Community Settings

Japanese Population Norms of EQ-5D-5L and Health Utilities Index Mark 3: Disutility Catalog by Disease and Symptom in Community Settings

EQ-5D-Y Population Norms for Japanese Children and Adolescents

Validity of the EQ-5D-5L questionnaire among the general population of Poland

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