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Published in: Health and Quality of Life Outcomes 1/2009

Open Access 01-12-2009 | Research

Health-state utilities in a prisoner population: a cross-sectional survey

Authors: Christopher AKY Chong, Sicong Li, Geoffrey C Nguyen, Andrew Sutton, Michael H Levy, Tony Butler, Murray D Krahn, Hla-Hla Thein

Published in: Health and Quality of Life Outcomes | Issue 1/2009

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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.
Literature
1.
go back to reference White P, Whiteford H: Prisons: mental health institutions of the 21 st century? MJA 2006, 185: 302–303.PubMed White P, Whiteford H: Prisons: mental health institutions of the 21 st century? MJA 2006, 185: 302–303.PubMed
2.
go back to reference Sterling RK, Brown RS Jr, Hofmann CM, Luketic VA, Stravitz RT, Sanyal AG, Contos MJ, Mills AS, Smith V, Shiffman ML: The spectrum of chronic hepatitis C virus infection in the Virginia correctional system: development of a strategy for the evaluation and treatment of inmates with HCV. Am J Gastroenterol 2005, 100: 313–321. 10.1111/j.1572-0241.2005.40116.xCrossRefPubMed Sterling RK, Brown RS Jr, Hofmann CM, Luketic VA, Stravitz RT, Sanyal AG, Contos MJ, Mills AS, Smith V, Shiffman ML: The spectrum of chronic hepatitis C virus infection in the Virginia correctional system: development of a strategy for the evaluation and treatment of inmates with HCV. Am J Gastroenterol 2005, 100: 313–321. 10.1111/j.1572-0241.2005.40116.xCrossRefPubMed
3.
go back to reference Gold MR, Siegel JE, Russell LB, Weinstein MC: Cost-effectiveness in health and medicine. New York: Oxford University Press; 1996. Gold MR, Siegel JE, Russell LB, Weinstein MC: Cost-effectiveness in health and medicine. New York: Oxford University Press; 1996.
4.
go back to reference Aoki N, Dunn K, Fukui T, Beck JR, Schull WJ, Li HK: Cost-effectiveness analysis of telemedicine to evaluate diabetic retinopathy in a prisoner population. Diab Care 2004, 27: 1095–1101. 10.2337/diacare.27.5.1095CrossRef Aoki N, Dunn K, Fukui T, Beck JR, Schull WJ, Li HK: Cost-effectiveness analysis of telemedicine to evaluate diabetic retinopathy in a prisoner population. Diab Care 2004, 27: 1095–1101. 10.2337/diacare.27.5.1095CrossRef
5.
go back to reference Sutton AJ, Edmunds WJ, Sweeting MJ, Gill ON: The cost-effectiveness of screening and treatment for hepatitis C in prisons in England and Wales: a cost-utility analysis. J Viral Hepat 2008, 15: 797–808.PubMed Sutton AJ, Edmunds WJ, Sweeting MJ, Gill ON: The cost-effectiveness of screening and treatment for hepatitis C in prisons in England and Wales: a cost-utility analysis. J Viral Hepat 2008, 15: 797–808.PubMed
6.
go back to reference Butler T: Preliminary findings of the NSW Inmate Health Survey. NSW: NSW Corrections Health Service; 1997. Butler T: Preliminary findings of the NSW Inmate Health Survey. NSW: NSW Corrections Health Service; 1997.
7.
go back to reference Beck AT, Rush AJ, Shaw BF, Emery G: Cognitive Therapy of Depression. NewYork: Guildford; 1979. Beck AT, Rush AJ, Shaw BF, Emery G: Cognitive Therapy of Depression. NewYork: Guildford; 1979.
8.
go back to reference Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG: The Alcohol Use Disorders Identification Test. Guidelines for Use in Primary Care. 2nd edition. Geneva: World Health Organization; 2001. Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG: The Alcohol Use Disorders Identification Test. Guidelines for Use in Primary Care. 2nd edition. Geneva: World Health Organization; 2001.
9.
go back to reference Ware JE Jr, Sherbourne CD: The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Med Care 1992, 30: 473–483. 10.1097/00005650-199206000-00002CrossRefPubMed Ware JE Jr, Sherbourne CD: The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Med Care 1992, 30: 473–483. 10.1097/00005650-199206000-00002CrossRefPubMed
10.
go back to reference Petrou S, Hockley C: An investigation into the empirical validity of the EQ-5D and SF-6D based on hypothetical preferences in a general population. Health Econ 2005, 14: 1169–1189. 10.1002/hec.1006CrossRefPubMed Petrou S, Hockley C: An investigation into the empirical validity of the EQ-5D and SF-6D based on hypothetical preferences in a general population. Health Econ 2005, 14: 1169–1189. 10.1002/hec.1006CrossRefPubMed
11.
go back to reference Zar JH: Biostatistical Analysis. Upper Saddle River: Simon & Schuster; 1996. Zar JH: Biostatistical Analysis. Upper Saddle River: Simon & Schuster; 1996.
12.
go back to reference Maetzel A, Krahn M, Naglie G: The cost-effectiveness of celecoxib and rofecoxib in patients with osteoarthritis or rheumatoid arthritis. Ottawa: Canadian Coordinating Office for Health Technology Assessment; 2001. Maetzel A, Krahn M, Naglie G: The cost-effectiveness of celecoxib and rofecoxib in patients with osteoarthritis or rheumatoid arthritis. Ottawa: Canadian Coordinating Office for Health Technology Assessment; 2001.
13.
go back to reference Nichol MD, Sengupta N, Globe DR: Evaluating quality-adjusted life years: Estimation of the health utility index (HUI2) from the SF-36. Med Decis Making 2001, 21: 105–112.CrossRefPubMed Nichol MD, Sengupta N, Globe DR: Evaluating quality-adjusted life years: Estimation of the health utility index (HUI2) from the SF-36. Med Decis Making 2001, 21: 105–112.CrossRefPubMed
14.
go back to reference Brazier JE, Roberts JR, Deverill M: The estimation of a preference-based measure of health from the SF-36. J Health Econ 2002, 21: 271–292. 10.1016/S0167-6296(01)00130-8CrossRefPubMed Brazier JE, Roberts JR, Deverill M: The estimation of a preference-based measure of health from the SF-36. J Health Econ 2002, 21: 271–292. 10.1016/S0167-6296(01)00130-8CrossRefPubMed
15.
go back to reference Torrance GW, Feeny DH, Furlong WJ, Barr RD, Zhang Y, Wang Q: Multi-Attribute Preference Functions for A Comprehensive Health Status Classification System: Health Utilities Index Mark 2. Med Care 1996, 34: 702–722. 10.1097/00005650-199607000-00004CrossRefPubMed Torrance GW, Feeny DH, Furlong WJ, Barr RD, Zhang Y, Wang Q: Multi-Attribute Preference Functions for A Comprehensive Health Status Classification System: Health Utilities Index Mark 2. Med Care 1996, 34: 702–722. 10.1097/00005650-199607000-00004CrossRefPubMed
16.
go back to reference Lee BB, King MT, Simpson JM, Haran MJ, Stockler MR, Marial O, Salkeld G: Validity, responsiveness, and minimal important difference for the SF-6D health utility scale in a spinal cord injured population. Value Health 2008, 11: 680–688. 10.1111/j.1524-4733.2007.00311.xCrossRefPubMed Lee BB, King MT, Simpson JM, Haran MJ, Stockler MR, Marial O, Salkeld G: Validity, responsiveness, and minimal important difference for the SF-6D health utility scale in a spinal cord injured population. Value Health 2008, 11: 680–688. 10.1111/j.1524-4733.2007.00311.xCrossRefPubMed
17.
go back to reference Fryback DG, Dunham NC, Palta M, Hammer J, Buechner J, Cherepanov D, Herrington SA, Hays RD, Kaplan RM, Ganiats TG, Feeny D, Kind P: US Norms for six generic health-related quality-of-life indexes from the National Health Measurement Study. Med Care 2007, 45: 1162–1170. 10.1097/MLR.0b013e31814848f1PubMedCentralCrossRefPubMed Fryback DG, Dunham NC, Palta M, Hammer J, Buechner J, Cherepanov D, Herrington SA, Hays RD, Kaplan RM, Ganiats TG, Feeny D, Kind P: US Norms for six generic health-related quality-of-life indexes from the National Health Measurement Study. Med Care 2007, 45: 1162–1170. 10.1097/MLR.0b013e31814848f1PubMedCentralCrossRefPubMed
18.
go back to reference Plugge E, Fitzpatrick R: Assessing the health of women in prison: A study from the United Kingdom. Health Care Women Int 2005, 26: 62–68. 10.1080/07399330590885768CrossRefPubMed Plugge E, Fitzpatrick R: Assessing the health of women in prison: A study from the United Kingdom. Health Care Women Int 2005, 26: 62–68. 10.1080/07399330590885768CrossRefPubMed
19.
go back to reference Mooney M, Hannon F, Barry M, Friel S, Kelleher C: Perceived quality of life and mental health status of Irish female prisoners. Ir Med J 2002, 95: 241–243.PubMed Mooney M, Hannon F, Barry M, Friel S, Kelleher C: Perceived quality of life and mental health status of Irish female prisoners. Ir Med J 2002, 95: 241–243.PubMed
20.
go back to reference Thein HH, Butler T, Krahn M, Rawlinson W, Levy MH, Kaldor JM, Dore GJ: The effect of hepatitis C virus infection on health-related quality of life in prisoners. J Urban Health 2006, 83: 275–288. 10.1007/s11524-005-9015-4PubMedCentralCrossRefPubMed Thein HH, Butler T, Krahn M, Rawlinson W, Levy MH, Kaldor JM, Dore GJ: The effect of hepatitis C virus infection on health-related quality of life in prisoners. J Urban Health 2006, 83: 275–288. 10.1007/s11524-005-9015-4PubMedCentralCrossRefPubMed
21.
go back to reference Rodger AJ, Jolley D, Thompson SC, Lanigan A, Crofts N: The impact of diagnosis of hepatitis C virus on quality of life. Hepatology 1999, 30: 1299–1301. 10.1002/hep.510300504CrossRefPubMed Rodger AJ, Jolley D, Thompson SC, Lanigan A, Crofts N: The impact of diagnosis of hepatitis C virus on quality of life. Hepatology 1999, 30: 1299–1301. 10.1002/hep.510300504CrossRefPubMed
22.
go back to reference Feeny D, Eng K: Comparing utility scores derived from the Short-Form 36, standard gamble and Health Utilities Index. Institute of Health Economics Working Paper 04–05; 2004. Feeny D, Eng K: Comparing utility scores derived from the Short-Form 36, standard gamble and Health Utilities Index. Institute of Health Economics Working Paper 04–05; 2004.
23.
go back to reference Lobo FS, Gross CR, Matthees BJ: Estimation and comparison of derived preference scores from the SF-36 in lung transplant patients. Quality of Life Research 2004, 13: 377–388. 10.1023/B:QURE.0000018488.95206.d6CrossRefPubMed Lobo FS, Gross CR, Matthees BJ: Estimation and comparison of derived preference scores from the SF-36 in lung transplant patients. Quality of Life Research 2004, 13: 377–388. 10.1023/B:QURE.0000018488.95206.d6CrossRefPubMed
24.
go back to reference Sakthong P, Charoenvisuthiwongs R, Shabunthom R: A comparison of EQ-5D index scores using the UK, US and Japan preference weights in a Thai sample with type 2 diabetes. Health Qual Life Outcomes 2008, 6: 71. 10.1186/1477-7525-6-71PubMedCentralCrossRefPubMed Sakthong P, Charoenvisuthiwongs R, Shabunthom R: A comparison of EQ-5D index scores using the UK, US and Japan preference weights in a Thai sample with type 2 diabetes. Health Qual Life Outcomes 2008, 6: 71. 10.1186/1477-7525-6-71PubMedCentralCrossRefPubMed
Metadata
Title
Health-state utilities in a prisoner population: a cross-sectional survey
Authors
Christopher AKY Chong
Sicong Li
Geoffrey C Nguyen
Andrew Sutton
Michael H Levy
Tony Butler
Murray D Krahn
Hla-Hla Thein
Publication date
01-12-2009
Publisher
BioMed Central
Published in
Health and Quality of Life Outcomes / Issue 1/2009
Electronic ISSN: 1477-7525
DOI
https://doi.org/10.1186/1477-7525-7-78

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