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

Chua, Kia-Chong and Brown, Anna and Little, Ryan and Matthews, David and Morton, Liam and Loftus, Vanessa and Watchurst, Caroline and Tait, Rhian and Romeo, Renee and Banerjee, Sube (2016) Quality-of-life assessment in dementia: the use of DEMQOL and DEMQOL-Proxy total scores. Quality of Life Research, . pp. 1-12. ISSN 0962-9343. (doi:https://doi.org/10.1007/s11136-016-1343-1) (Full text available)

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http://doi.org/10.1007/s11136-016-1343-1

Abstract

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.

Item Type: Article
Uncontrolled keywords: Dementia Health-related quality-of-life Exploratory factor analysis Confirmatory factor analysis Bifactor model
Subjects: H Social Sciences > HA Statistics
Divisions: Faculties > Social Sciences > School of Psychology > Applied Psychology
Depositing User: Anna Brown
Date Deposited: 21 Jun 2016 09:15 UTC
Last Modified: 14 Jul 2016 13:56 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/56000 (The current URI for this page, for reference purposes)
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