Chong, CAKY, Li, S, Nguyen, GC et al. (5 more authors) (2009) Health-state utilities in a prisoner population: a cross-sectional survey. Health and Quality of Life Outcomes, 7 (1). ARTN 78. ISSN 1477-7525
Abstract
Background: Health-state utilities for prisoners have not been described.
Methods: We used data from a 1996 cross-sectional survey of Australian prisoners (n = 734). Respondent-level SF-36 data was transformed into utility scores by both the SF-6D and Nichol's method. Socio-demographic and clinical predictors of SF-6D utility were assessed in univariate analyses and a multivariate general linear model.
Results: The overall mean SF-6D utility was 0.725 (SD 0.119). When subdivided by various medical conditions, prisoner SF-6D utilities ranged from 0.620 for angina to 0.764 for those with none/mild depressive symptoms. Utilities derived by the Nichol's method were higher than SF-6D scores, often by more than 0.1. In multivariate analysis, significant independent predictors of worse utility included female gender, increasing age, increasing number of comorbidities and more severe depressive symptoms.
Conclusion: The utilities presented may prove useful for future economic and decision models evaluating prison-based health programs.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2009 Chong et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Health Economics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Sep 2019 12:15 |
Last Modified: | 06 Sep 2019 12:15 |
Status: | Published |
Publisher: | BMC |
Identification Number: | 10.1186/1477-7525-7-78 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:101119 |