Developing a dementia-specific health state classification system for a new preference-based instrument AD-5D

被引:22
作者
Nguyen, Kim-Huong [1 ,2 ]
Mulhern, Brendan [3 ]
Kularatna, Sanjeewa [1 ]
Byrnes, Joshua [1 ]
Moyle, Wendy [4 ]
Comans, Tracy [1 ,2 ,5 ]
机构
[1] Griffith Univ, Ctr Appl Hlth Econ, Menzies Hlth Inst Queensland, Nathan, Qld 4111, Australia
[2] NHMRC Cognit Decline Partnership Ctr, Sydney, NSW, Australia
[3] Univ Technol Sydney, Ctr Hlth Econ Res & Evaluat, Sydney, NSW, Australia
[4] Griffith Univ, Ctr Hlth Practice Innovat, Brisbane, Qld, Australia
[5] Metro North Hosp & Hlth Serv Dist, Brisbane, Qld, Australia
来源
HEALTH AND QUALITY OF LIFE OUTCOMES | 2017年 / 15卷
基金
澳大利亚国家健康与医学研究理事会;
关键词
Dementia; Health-related quality of life; Preference-based measure; Health state classification; QOL-AD; QALY; Economic evaluation; QUALITY-OF-LIFE; RASCH MEASUREMENT MODEL; ALZHEIMERS-DISEASE; OLDER-PEOPLE; QOL-AD; QUESTIONNAIRE; VALIDITY; CARERS; INDEX; UTILITIES;
D O I
10.1186/s12955-017-0585-0
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: With an ageing population, the number of people with dementia is rising. The economic impact on the health care system is considerable and new treatment methods and approaches to dementia care must be cost effective. Economic evaluation requires valid patient reported outcome measures, and this study aims to develop a dementia-specific health state classification system based on the Quality of Life for Alzheimer's disease (QOL-AD) instrument (nursing home version). This classification system will subsequently be valued to generate a preference-based measure for use in the economic evaluation of interventions for people with dementia. Methods: We assessed the dimensionality of the QOL-AD to develop a new classification system. This was done using exploratory and confirmatory factor analysis and further assessment of the structure of the measure to ensure coverage of the key areas of quality of life. Secondly, we used Rasch analysis to test the psychometric performance of the items, and select item(s) to describe each dimension. This was done on 13 items of the QOL-AD (excluding two general health items) using a sample of 284 residents living in long-term care facilities in Australia who had a diagnosis of dementia. Results: A five dimension classification system is proposed resulting from the three factor structure (defined as 'interpersonal environment', 'physical health' and 'self-functioning') derived from the factor analysis and two factors ('memory' and 'mood') from the accompanying review. For the first three dimensions, Rasch analysis selected three questions of the QOL-AD ('living situation', 'physical health', and 'do fun things') with memory and mood questions representing their own dimensions. The resulting classification system (AD-5D) includes many of the health-related quality of life dimensions considered important to people with dementia, including mood, global function and skill in daily living. Conclusions: The development of the AD-5D classification system is an important step in the future application of the widely used QOL-AD in economic evaluations. Future valuation studies will enable this tool to be used to calculate quality adjusted life years to evaluate treatments and interventions for people diagnosed with mild to moderate dementia.
引用
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页数:10
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