Validity of the EQ-5D-5L questionnaire among the general population of Poland
- PDF / 1,001,541 Bytes
- 13 Pages / 595.276 x 790.866 pts Page_size
- 92 Downloads / 190 Views
Validity of the EQ‑5D‑5L questionnaire among the general population of Poland Katarzyna Młyńczak1,2 · Dominik Golicki1,2 Accepted: 3 October 2020 © The Author(s) 2020
Abstract 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. Keywords EQ-5D · EQ-5D-5L · EQ-5D-3L · Validity · Health-related quality of life · General population
Introduction Assessment of the health-related quality of life (HRQoL) is an essential step in the process of inferring the cost-effectiveness of medical technology. To ensure the correctness of pharmacoeconomic inference, the HRQoL estimates should tend to the true value. However, this is difficult because the HRQoL is a latent variable and cannot be measured and interpreted directly. The assessment of psychometric properties, i.e. validation, includes determining if there are grounds to believe that the questionnaire used to assess HRQoL * Katarzyna Młyńczak [email protected] 1
Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, 1b Banacha St, 02‑097 Warsaw, Poland
HealthQuest spółka z ograniczoną odpowiedzialnością Sp. K, Warsaw, Poland
2
measures what is intended [1]. Therefore, before the questionnaire is included in a study, it should be validated. It means checking to what extent, in a given clinical situation and a specific population, the results of the questionnaire can be correctly interpreted. The most commonly assessed and pointed in the COSMIN checklis
Data Loading...
