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Quality-of-life assessment in dementia: the use of DEMQOL and DEMQOL-Proxy total scores

PURPOSE: There is a need to determine whether health-related quality-of-life (HRQL) assessments in dementia capture what is important, to form a coherent basis for guiding research and clinical and policy decisions. This study investigated structural validity of HRQL assessments made using the DEMQO...

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Autores principales: Chua, Kia-Chong, Brown, Anna, Little, Ryan, Matthews, David, Morton, Liam, Loftus, Vanessa, Watchurst, Caroline, Tait, Rhian, Romeo, Renee, Banerjee, Sube
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102947/
https://www.ncbi.nlm.nih.gov/pubmed/27318488
http://dx.doi.org/10.1007/s11136-016-1343-1
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author Chua, Kia-Chong
Brown, Anna
Little, Ryan
Matthews, David
Morton, Liam
Loftus, Vanessa
Watchurst, Caroline
Tait, Rhian
Romeo, Renee
Banerjee, Sube
author_facet Chua, Kia-Chong
Brown, Anna
Little, Ryan
Matthews, David
Morton, Liam
Loftus, Vanessa
Watchurst, Caroline
Tait, Rhian
Romeo, Renee
Banerjee, Sube
author_sort Chua, Kia-Chong
collection PubMed
description PURPOSE: There is a need to determine whether health-related quality-of-life (HRQL) assessments in dementia capture what is important, to form a coherent basis for guiding research and clinical and policy decisions. This study investigated structural validity of HRQL assessments made using the DEMQOL system, with particular interest in studying domains that might be central to HRQL, and the external validity of these HRQL measurements. METHODS: HRQL of people with dementia was evaluated by 868 self-reports (DEMQOL) and 909 proxy reports (DEMQOL-Proxy) at a community memory service. Exploratory and confirmatory factor analyses (EFA and CFA) were conducted using bifactor models to investigate domains that might be central to general HRQL. Reliability of the general and specific factors measured by the bifactor models was examined using omega (ω) and omega hierarchical (ω (h)) coefficients. Multiple-indicators multiple-causes models were used to explore the external validity of these HRQL measurements in terms of their associations with other clinical assessments. RESULTS: Bifactor models showed adequate goodness of fit, supporting HRQL in dementia as a general construct that underlies a diverse range of health indicators. At the same time, additional factors were necessary to explain residual covariation of items within specific health domains identified from the literature. Based on these models, DEMQOL and DEMQOL-Proxy overall total scores showed excellent reliability (ω (h) > 0.8). After accounting for common variance due to a general factor, subscale scores were less reliable (ω (h) < 0.7) for informing on individual differences in specific HRQL domains. Depression was more strongly associated with general HRQL based on DEMQOL than on DEMQOL-Proxy (−0.55 vs −0.22). Cognitive impairment had no reliable association with general HRQL based on DEMQOL or DEMQOL-Proxy. CONCLUSIONS: The tenability of a bifactor model of HRQL in dementia suggests that it is possible to retain theoretical focus on the assessment of a general phenomenon, while exploring variation in specific HRQL domains for insights on what may lie at the ‘heart’ of HRQL for people with dementia. These data suggest that DEMQOL and DEMQOL-Proxy total scores are likely to be accurate measures of individual differences in HRQL, but that subscale scores should not be used. No specific domain was solely responsible for general HRQL at dementia diagnosis. Better HRQL was moderately associated with less depressive symptoms, but this was less apparent based on informant reports. HRQL was not associated with severity of cognitive impairment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11136-016-1343-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-51029472016-11-21 Quality-of-life assessment in dementia: the use of DEMQOL and DEMQOL-Proxy total scores Chua, Kia-Chong Brown, Anna Little, Ryan Matthews, David Morton, Liam Loftus, Vanessa Watchurst, Caroline Tait, Rhian Romeo, Renee Banerjee, Sube Qual Life Res Article PURPOSE: There is a need to determine whether health-related quality-of-life (HRQL) assessments in dementia capture what is important, to form a coherent basis for guiding research and clinical and policy decisions. This study investigated structural validity of HRQL assessments made using the DEMQOL system, with particular interest in studying domains that might be central to HRQL, and the external validity of these HRQL measurements. METHODS: HRQL of people with dementia was evaluated by 868 self-reports (DEMQOL) and 909 proxy reports (DEMQOL-Proxy) at a community memory service. Exploratory and confirmatory factor analyses (EFA and CFA) were conducted using bifactor models to investigate domains that might be central to general HRQL. Reliability of the general and specific factors measured by the bifactor models was examined using omega (ω) and omega hierarchical (ω (h)) coefficients. Multiple-indicators multiple-causes models were used to explore the external validity of these HRQL measurements in terms of their associations with other clinical assessments. RESULTS: Bifactor models showed adequate goodness of fit, supporting HRQL in dementia as a general construct that underlies a diverse range of health indicators. At the same time, additional factors were necessary to explain residual covariation of items within specific health domains identified from the literature. Based on these models, DEMQOL and DEMQOL-Proxy overall total scores showed excellent reliability (ω (h) > 0.8). After accounting for common variance due to a general factor, subscale scores were less reliable (ω (h) < 0.7) for informing on individual differences in specific HRQL domains. Depression was more strongly associated with general HRQL based on DEMQOL than on DEMQOL-Proxy (−0.55 vs −0.22). Cognitive impairment had no reliable association with general HRQL based on DEMQOL or DEMQOL-Proxy. CONCLUSIONS: The tenability of a bifactor model of HRQL in dementia suggests that it is possible to retain theoretical focus on the assessment of a general phenomenon, while exploring variation in specific HRQL domains for insights on what may lie at the ‘heart’ of HRQL for people with dementia. These data suggest that DEMQOL and DEMQOL-Proxy total scores are likely to be accurate measures of individual differences in HRQL, but that subscale scores should not be used. No specific domain was solely responsible for general HRQL at dementia diagnosis. Better HRQL was moderately associated with less depressive symptoms, but this was less apparent based on informant reports. HRQL was not associated with severity of cognitive impairment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11136-016-1343-1) contains supplementary material, which is available to authorized users. Springer International Publishing 2016-06-18 2016 /pmc/articles/PMC5102947/ /pubmed/27318488 http://dx.doi.org/10.1007/s11136-016-1343-1 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Chua, Kia-Chong
Brown, Anna
Little, Ryan
Matthews, David
Morton, Liam
Loftus, Vanessa
Watchurst, Caroline
Tait, Rhian
Romeo, Renee
Banerjee, Sube
Quality-of-life assessment in dementia: the use of DEMQOL and DEMQOL-Proxy total scores
title Quality-of-life assessment in dementia: the use of DEMQOL and DEMQOL-Proxy total scores
title_full Quality-of-life assessment in dementia: the use of DEMQOL and DEMQOL-Proxy total scores
title_fullStr Quality-of-life assessment in dementia: the use of DEMQOL and DEMQOL-Proxy total scores
title_full_unstemmed Quality-of-life assessment in dementia: the use of DEMQOL and DEMQOL-Proxy total scores
title_short Quality-of-life assessment in dementia: the use of DEMQOL and DEMQOL-Proxy total scores
title_sort quality-of-life assessment in dementia: the use of demqol and demqol-proxy total scores
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102947/
https://www.ncbi.nlm.nih.gov/pubmed/27318488
http://dx.doi.org/10.1007/s11136-016-1343-1
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