Assessing quality of life among British older people using the ICEPOP CAPability (ICECAP-O) measure

被引：71

作者：

Flynn T.N. ^{[1
]}

Chan P. ^{[2
]}

Coast J. ^{[3
]}

Peters T.J. ^{[4
]}

机构：

[1] University of Technology Sydney, Centre for the Study of Choice (CenSoC), Broadway, NSW 2007

[2] Bristol City Council, Bristol

[3] Health Economics Unit, University of Birmingham, Birmingham

[4] School of Clinical Sciences, University of Bristol, Bristol

来源：

Applied Health Economics and Health Policy | 2011年 / 9卷 / 5期

基金：

英国医学研究理事会;

关键词：

Elderly; Quality-of-life; Quality-of-life-rating-scales;

D O I：

10.2165/11594150-000000000-00000

中图分类号：

学科分类号：

摘要：

Background: The Investigating Choice Experiments for the Preferences of Older People (ICEPOP) programme developed a capability-based measure of general quality of life (QOL): the ICEPOP CAPability (ICECAP-O) instrument. ICECAP-O was originally intended for use in the economic evaluation of health and social care interventions, but there is increasing interest in using it to quantify differences in QOL in cross-sectional data. Objective: The objective of this study was to assess the construct validity of the overall ICECAP-O scores and quantify differences in QOL associated with various factors in a multivariable regression model among residents of a British city. Methods: ICECAP-O was administered as part of a survey of 4304 citizens of a British city. QOL values in only those respondents aged ≥65 years (n = 809) were compared across subgroups using univariable analyses and multivariable regression models. Results: QOL values were associated with differences in responses to a variety of questions about respondents' socioeconomic status, locality, contact with others, participation, health and social support. Multivariable regression results showed that poor physical and psychological health were associated with 4-7% lower QOL. Living alone and infrequent socializing were each associated with an approximately 2.5% impairment in QOL. Feeling unsafe after dark was associated with an 8%impairment, whilst those without a faith experienced 5%lower QOL on average. Distribution of ICECAP-O values by electoral ward enabled the identification of areas of deprivation, although the associations were strong only for enjoyment and control. Conclusion: ICECAP-O provides policy makers with robust quantitative evidence of differences in QOL. It offers local government an opportunity to evaluate the effects of health and other interventions, and tomake comparisons across sectors for which it is responsible. It also demonstrates good ability to compare impairments in QOL associated with sociodemographic, health and attitudinal variables. © 2011 Adis Data Information BV. All rights reserved.

引用

页码：317 / 329

页数：12

共 23 条

[1] Grewal I., Lewis J., Flynn T.N., Et al., Developing attributes for a generic quality of life measure for older people: Preferences or capabilities?, Soc Sci Med, 62, pp. 1891-1901, (2006)
[2] ICECAP Capability Measures
[3] Sen A., Choice, Welfare and Measurement, (1982)
[4] Hyde M., Wiggins R.D., Higgs P., Blane D.B., A measure of quality of life in early old age: The theory, development and properties of a needs satisfaction model (CASP-19), Aging and Mental Health, 7, 3, pp. 186-194, (2003)
[5] Higgs P., Hyde M., Wiggins R., Blane D., Researching quality of life in early old age: The importance of the sociological dimension, Social Policy and Administration, 37, 3, pp. 239-252, (2003)
[6] Coast J., Flynn T.N., Natarajan L., Et al., Valuing the ICECAP capability index for older people, Soc Sci Med, 67, 5, pp. 874-882, (2008)
[7] Coast J., Peters T.J., Natarajan L., Et al., An assessment of the construct validity of the descriptive system for the ICECAP capability measure for older people, Qual Life Res, 17, pp. 967-976, (2008)
[8] Louviere J.J., Hensher D.A., Swait J., Stated Choice Methods: Analysis and Application, (2000)
[9] Flynn T.N., Louviere J.J., Peters T.J., Coast J., Best-worst scaling: What it can do for health care research and how to do it, Journal of Health Economics, 26, 1, pp. 171-189, (2007)
[10] Marley A.A.J., Flynn T.N., Louviere J.J., Probabilistic models of set-dependent and attribute-level best-worst choice, J Math Psychol, 52, pp. 281-296, (2008)

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