Skip to main content
Top
Published in: Health and Quality of Life Outcomes 1/2015

Open Access 01-12-2015 | Research

Do chronic disease patients value generic health states differently from individuals with no chronic disease? A case of a multicultural Asian population

Authors: Mihir Gandhi, Julian Thumboo, Nan Luo, Hwee-Lin Wee, Yin-Bun Cheung

Published in: Health and Quality of Life Outcomes | Issue 1/2015

Login to get access

Abstract

Background

There is conflicting evidence as to whether patients with chronic disease value hypothetical health states differently from individuals who have not experienced any long-lasting diseases. Furthermore, most studies regarding this issue have been conducted in western countries, with only one conducted in Asia. We aimed to evaluate possible systematic differences in the valuation of EuroQol Group five dimensions 3-level (EQ-5D-3L) health states by chronic disease patients and a population with no chronic disease in Singapore.

Methods

A face-to-face survey for the valuation of the 42 health states of the EQ-5D-3L using the visual analogue scale (VAS) method was conducted in Singapore. The survey also asked participants to report any chronic diseases they had. Ordinary least-square regression models were employed to assess possible differences in the valuation scores of all health states, severe health states and non-severe health states by individual chronic disease patient groups (diabetes, rheumatism, hypertension, heart diseases and lung diseases) and by a group of participants with no chronic disease. A difference of 4 to 8 points on the 100-point VAS was considered to be of practical significance.

Results

The analysis included 332 participants with at least one chronic disease and 651 participants with no chronic disease. After taking health state descriptors and covariates into account, mean valuation scores of the 42 health states by the heart disease group were higher by 4.6 points (p-value = 0.032) compared to the no chronic disease group. Specifically, the heart disease group valued severe health states 5.4 points higher (p-value = 0.025) than the no chronic disease group. There was no practically significant difference in the mean valuation score of non-severe health states between the heart disease group and the no chronic disease group. No practically significant differences were found in the mean valuation score of all health states, severe health states and non-severe health states between any other chronic disease group and the no chronic disease group.

Conclusions

In Singapore, heart disease patients valued EQ-5D-3L severe health states differently from individuals with no chronic disease. Other chronic disease groups did not value EQ-5D-3L health states differently from the no chronic disease group.
Literature
1.
go back to reference Peeters Y, Stiggelbout AM. Health state valuations of patients and the general public analytically compared: a meta-analytical comparison of patient and population health state utilities. Value Health. 2010;13(2):306–9.PubMedCrossRef Peeters Y, Stiggelbout AM. Health state valuations of patients and the general public analytically compared: a meta-analytical comparison of patient and population health state utilities. Value Health. 2010;13(2):306–9.PubMedCrossRef
2.
go back to reference Dolders MG, Zeegers MP, Groot W, Ament A. A meta-analysis demonstrates no significant differences between patient and population preferences. J Clin Epidemiol. 2006;59(7):653–64.PubMedCrossRef Dolders MG, Zeegers MP, Groot W, Ament A. A meta-analysis demonstrates no significant differences between patient and population preferences. J Clin Epidemiol. 2006;59(7):653–64.PubMedCrossRef
3.
go back to reference Bremner KE, Chong CA, Tomlinson G, Alibhai SM, Krahn MD. A review and meta-analysis of prostate cancer utilities. Med Decis Making. 2007;27:288–98.PubMedCrossRef Bremner KE, Chong CA, Tomlinson G, Alibhai SM, Krahn MD. A review and meta-analysis of prostate cancer utilities. Med Decis Making. 2007;27:288–98.PubMedCrossRef
4.
go back to reference Wang P, Tai ES, Thumboo J, Vrijhoef HJ, Luo N. Does Diabetes Have an Impact on Health-State Utility? A Study of Asians in Singapore. Patient 2014 [Epub ahead of print] Wang P, Tai ES, Thumboo J, Vrijhoef HJ, Luo N. Does Diabetes Have an Impact on Health-State Utility? A Study of Asians in Singapore. Patient 2014 [Epub ahead of print]
5.
go back to reference Luo N, Wang P, Thumboo J, Lim YW, Vrijhoef HJ. Valuation of EQ-5D-3L health states in Singapore: modeling of time trade-off values for 80 empirically observed health states. Pharmacoeconomics. 2014;32(5):495–507.PubMedCrossRef Luo N, Wang P, Thumboo J, Lim YW, Vrijhoef HJ. Valuation of EQ-5D-3L health states in Singapore: modeling of time trade-off values for 80 empirically observed health states. Pharmacoeconomics. 2014;32(5):495–507.PubMedCrossRef
6.
go back to reference Johnson JA, Luo N, Shaw JW, Kind P, Coons SJ. Valuations of EQ-5D health states: are the United States and United Kingdom different? Med Care. 2005;43:221–8.PubMedCrossRef Johnson JA, Luo N, Shaw JW, Kind P, Coons SJ. Valuations of EQ-5D health states: are the United States and United Kingdom different? Med Care. 2005;43:221–8.PubMedCrossRef
7.
go back to reference Krabbe PF, Tromp N, Ruers TJ, van Riel PL. Are patients’ judgments of health status really different from the general population? Health Qual Life Outcomes. 2011;9:31.PubMedCentralPubMedCrossRef Krabbe PF, Tromp N, Ruers TJ, van Riel PL. Are patients’ judgments of health status really different from the general population? Health Qual Life Outcomes. 2011;9:31.PubMedCentralPubMedCrossRef
8.
go back to reference Pickard AS, Tawk R, Shaw JW. The effect of chronic conditions on stated preferences for health. Eur J Health Econ. 2013;14(4):697–702.PubMedCrossRef Pickard AS, Tawk R, Shaw JW. The effect of chronic conditions on stated preferences for health. Eur J Health Econ. 2013;14(4):697–702.PubMedCrossRef
9.
go back to reference Kind P, Lafata JE, Matuszewski K, Raisch D. The use of QALYs in clinical and patient decision-making: issues and prospects. Value Health. 2009;12 Suppl 1:S27–30.PubMedCrossRef Kind P, Lafata JE, Matuszewski K, Raisch D. The use of QALYs in clinical and patient decision-making: issues and prospects. Value Health. 2009;12 Suppl 1:S27–30.PubMedCrossRef
10.
go back to reference McTaggart-Cowan H. Elicitation of informed general population health state utility values: a review of the literature. Value Health. 2011;14(8):1153–7.PubMedCrossRef McTaggart-Cowan H. Elicitation of informed general population health state utility values: a review of the literature. Value Health. 2011;14(8):1153–7.PubMedCrossRef
11.
go back to reference Stamuli E. Health outcomes in economic evaluation: who should value health? Br Med Bull. 2011;97:197–210.PubMedCrossRef Stamuli E. Health outcomes in economic evaluation: who should value health? Br Med Bull. 2011;97:197–210.PubMedCrossRef
12.
go back to reference Weinstein MC, Siegel JE, Gold MR, Kamlet MS, Russell LB. Recommendations of the panel on cost-effectiveness in health and medicine. JAMA. 1996;276:1253–8.PubMedCrossRef Weinstein MC, Siegel JE, Gold MR, Kamlet MS, Russell LB. Recommendations of the panel on cost-effectiveness in health and medicine. JAMA. 1996;276:1253–8.PubMedCrossRef
14.
go back to reference Brauer CA, Rosen AB, Greenberg D, Neumann PJ. Trends in the measurement of health utilities in published cost-utility analyses. Value Health. 2006;9(4):213–8.PubMedCrossRef Brauer CA, Rosen AB, Greenberg D, Neumann PJ. Trends in the measurement of health utilities in published cost-utility analyses. Value Health. 2006;9(4):213–8.PubMedCrossRef
15.
go back to reference Russell LB, Gold MR, Siegel JE, Daniels N, Weinstein MC. The role of cost-effectiveness analysis in health and medicine. Panel on Cost-Effectiveness in Health and Medicine. JAMA. 1996;276(14):1172–7.PubMedCrossRef Russell LB, Gold MR, Siegel JE, Daniels N, Weinstein MC. The role of cost-effectiveness analysis in health and medicine. Panel on Cost-Effectiveness in Health and Medicine. JAMA. 1996;276(14):1172–7.PubMedCrossRef
18.
19.
go back to reference Lamers LM. The transformation of utilities for health states worse than death: consequences for the estimation of EQ-5D value sets. Med Care. 2007;45(3):238–44.PubMedCrossRef Lamers LM. The transformation of utilities for health states worse than death: consequences for the estimation of EQ-5D value sets. Med Care. 2007;45(3):238–44.PubMedCrossRef
20.
go back to reference Szende A, Oppe M, Devlin N. EQ-5D value sets: inventory, comparative review and user guide (EuroQol group monographs, Vol. 2). The Netherlands: Springer; 2007.CrossRef Szende A, Oppe M, Devlin N. EQ-5D value sets: inventory, comparative review and user guide (EuroQol group monographs, Vol. 2). The Netherlands: Springer; 2007.CrossRef
21.
go back to reference Williams R. A note on robust variance estimation for cluster-correlated data. Biometrics. 2000;56:645–6.PubMedCrossRef Williams R. A note on robust variance estimation for cluster-correlated data. Biometrics. 2000;56:645–6.PubMedCrossRef
22.
go back to reference Walters SJ, Brazier JE. Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Qual Life Res. 2005;14:1523–32.PubMedCrossRef Walters SJ, Brazier JE. Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Qual Life Res. 2005;14:1523–32.PubMedCrossRef
23.
go back to reference Pickard AS, Neary MP, Cella D. Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer. Health Qual Life Out. 2007;5:70.CrossRef Pickard AS, Neary MP, Cella D. Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer. Health Qual Life Out. 2007;5:70.CrossRef
24.
go back to reference Luo N, Johnson JA, Coons SJ. Using instrument-defined health state transitions to estimate minimally important differences for four preferencebased health-related quality of life instruments. Med Care. 2010;48:365–71.PubMedCrossRef Luo N, Johnson JA, Coons SJ. Using instrument-defined health state transitions to estimate minimally important differences for four preferencebased health-related quality of life instruments. Med Care. 2010;48:365–71.PubMedCrossRef
25.
go back to reference Oksanen T, Kivimäki M, Pentti J, Virtanen M, Klaukka T, Vahtera J. Self-report as an indicator of incident disease. Ann Epidemiol. 2010;20(7):547–54.PubMedCrossRef Oksanen T, Kivimäki M, Pentti J, Virtanen M, Klaukka T, Vahtera J. Self-report as an indicator of incident disease. Ann Epidemiol. 2010;20(7):547–54.PubMedCrossRef
Metadata
Title
Do chronic disease patients value generic health states differently from individuals with no chronic disease? A case of a multicultural Asian population
Authors
Mihir Gandhi
Julian Thumboo
Nan Luo
Hwee-Lin Wee
Yin-Bun Cheung
Publication date
01-12-2015
Publisher
BioMed Central
Published in
Health and Quality of Life Outcomes / Issue 1/2015
Electronic ISSN: 1477-7525
DOI
https://doi.org/10.1186/s12955-014-0200-6

Other articles of this Issue 1/2015

Health and Quality of Life Outcomes 1/2015 Go to the issue