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Validation of a computer-adaptive test to evaluate generic health-related quality of life

BACKGROUND: Health Related Quality of Life (HRQoL) is a relevant variable in the evaluation of health outcomes. Questionnaires based on Classical Test Theory typically require a large number of items to evaluate HRQoL. Computer Adaptive Testing (CAT) can be used to reduce tests length while maintain...

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Autores principales: Rebollo, Pablo, Castejón, Ignacio, Cuervo, Jesús, Villa, Guillermo, García-Cueto, Eduardo, Díaz-Cuervo, Helena, Zardaín, Pilar C, Muñiz, José, Alonso, Jordi
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3022567/
https://www.ncbi.nlm.nih.gov/pubmed/21129169
http://dx.doi.org/10.1186/1477-7525-8-147
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author Rebollo, Pablo
Castejón, Ignacio
Cuervo, Jesús
Villa, Guillermo
García-Cueto, Eduardo
Díaz-Cuervo, Helena
Zardaín, Pilar C
Muñiz, José
Alonso, Jordi
author_facet Rebollo, Pablo
Castejón, Ignacio
Cuervo, Jesús
Villa, Guillermo
García-Cueto, Eduardo
Díaz-Cuervo, Helena
Zardaín, Pilar C
Muñiz, José
Alonso, Jordi
author_sort Rebollo, Pablo
collection PubMed
description BACKGROUND: Health Related Quality of Life (HRQoL) is a relevant variable in the evaluation of health outcomes. Questionnaires based on Classical Test Theory typically require a large number of items to evaluate HRQoL. Computer Adaptive Testing (CAT) can be used to reduce tests length while maintaining and, in some cases, improving accuracy. This study aimed at validating a CAT based on Item Response Theory (IRT) for evaluation of generic HRQoL: the CAT-Health instrument. METHODS: Cross-sectional study of subjects aged over 18 attending Primary Care Centres for any reason. CAT-Health was administered along with the SF-12 Health Survey. Age, gender and a checklist of chronic conditions were also collected. CAT-Health was evaluated considering: 1) feasibility: completion time and test length; 2) content range coverage, Item Exposure Rate (IER) and test precision; and 3) construct validity: differences in the CAT-Health scores according to clinical variables and correlations between both questionnaires. RESULTS: 396 subjects answered CAT-Health and SF-12, 67.2% females, mean age (SD) 48.6 (17.7) years. 36.9% did not report any chronic condition. Median completion time for CAT-Health was 81 seconds (IQ range = 59-118) and it increased with age (p < 0.001). The median number of items administered was 8 (IQ range = 6-10). Neither ceiling nor floor effects were found for the score. None of the items in the pool had an IER of 100% and it was over 5% for 27.1% of the items. Test Information Function (TIF) peaked between levels -1 and 0 of HRQoL. Statistically significant differences were observed in the CAT-Health scores according to the number and type of conditions. CONCLUSIONS: Although domain-specific CATs exist for various areas of HRQoL, CAT-Health is one of the first IRT-based CATs designed to evaluate generic HRQoL and it has proven feasible, valid and efficient, when administered to a broad sample of individuals attending primary care settings.
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spelling pubmed-30225672011-01-19 Validation of a computer-adaptive test to evaluate generic health-related quality of life Rebollo, Pablo Castejón, Ignacio Cuervo, Jesús Villa, Guillermo García-Cueto, Eduardo Díaz-Cuervo, Helena Zardaín, Pilar C Muñiz, José Alonso, Jordi Health Qual Life Outcomes Research BACKGROUND: Health Related Quality of Life (HRQoL) is a relevant variable in the evaluation of health outcomes. Questionnaires based on Classical Test Theory typically require a large number of items to evaluate HRQoL. Computer Adaptive Testing (CAT) can be used to reduce tests length while maintaining and, in some cases, improving accuracy. This study aimed at validating a CAT based on Item Response Theory (IRT) for evaluation of generic HRQoL: the CAT-Health instrument. METHODS: Cross-sectional study of subjects aged over 18 attending Primary Care Centres for any reason. CAT-Health was administered along with the SF-12 Health Survey. Age, gender and a checklist of chronic conditions were also collected. CAT-Health was evaluated considering: 1) feasibility: completion time and test length; 2) content range coverage, Item Exposure Rate (IER) and test precision; and 3) construct validity: differences in the CAT-Health scores according to clinical variables and correlations between both questionnaires. RESULTS: 396 subjects answered CAT-Health and SF-12, 67.2% females, mean age (SD) 48.6 (17.7) years. 36.9% did not report any chronic condition. Median completion time for CAT-Health was 81 seconds (IQ range = 59-118) and it increased with age (p < 0.001). The median number of items administered was 8 (IQ range = 6-10). Neither ceiling nor floor effects were found for the score. None of the items in the pool had an IER of 100% and it was over 5% for 27.1% of the items. Test Information Function (TIF) peaked between levels -1 and 0 of HRQoL. Statistically significant differences were observed in the CAT-Health scores according to the number and type of conditions. CONCLUSIONS: Although domain-specific CATs exist for various areas of HRQoL, CAT-Health is one of the first IRT-based CATs designed to evaluate generic HRQoL and it has proven feasible, valid and efficient, when administered to a broad sample of individuals attending primary care settings. BioMed Central 2010-12-03 /pmc/articles/PMC3022567/ /pubmed/21129169 http://dx.doi.org/10.1186/1477-7525-8-147 Text en Copyright ©2010 Rebollo et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Rebollo, Pablo
Castejón, Ignacio
Cuervo, Jesús
Villa, Guillermo
García-Cueto, Eduardo
Díaz-Cuervo, Helena
Zardaín, Pilar C
Muñiz, José
Alonso, Jordi
Validation of a computer-adaptive test to evaluate generic health-related quality of life
title Validation of a computer-adaptive test to evaluate generic health-related quality of life
title_full Validation of a computer-adaptive test to evaluate generic health-related quality of life
title_fullStr Validation of a computer-adaptive test to evaluate generic health-related quality of life
title_full_unstemmed Validation of a computer-adaptive test to evaluate generic health-related quality of life
title_short Validation of a computer-adaptive test to evaluate generic health-related quality of life
title_sort validation of a computer-adaptive test to evaluate generic health-related quality of life
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3022567/
https://www.ncbi.nlm.nih.gov/pubmed/21129169
http://dx.doi.org/10.1186/1477-7525-8-147
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