Tilling, C and Krol, M and Tsuchiya, A and Brazier, J and van Exel, J and Brouwer, W (2009): The impact of losses in income due to ill health: does the EQ-5D reflect lost earnings?
Download (263kB) | Preview
Two key questions in the context of UK health policy are: do the published preference indices for EQ-5D reflect the impact of lost earnings? Are we currently implicitly including indirect costs in our analyses? It is crucial to investigate whether or not individuals take into account any possible impact of lost income in health state valuation exercises. If respondents do consider income effects, and these considerations change valuations, then these effects would need to be excluded both under the current NICE reference case, or where productivity costs are included in the numerator to avoid double counting. This study adapts the study design used to generate population value sets for EQ-5D, as first used in the Measurement and Valuation of Health (MVH) Study, and carries out valuations of hypothetical EQ-5D states using Time Trade Off (TTO) exercises through an online survey administered in the Netherlands. Furthermore, this study uses a number of different TTO questions to explore the impact of losses in income on the valuation of hypothetical health states, and to determine the relationship between income and health.
|Item Type:||MPRA Paper|
|Original Title:||The impact of losses in income due to ill health: does the EQ-5D reflect lost earnings?|
|Keywords:||EQ-5D; time trade-off; health-related loss of income|
|Subjects:||I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty > I31 - General Welfare, Well-Being
I - Health, Education, and Welfare > I1 - Health > I19 - Other
I - Health, Education, and Welfare > I1 - Health > I18 - Government Policy ; Regulation ; Public Health
|Depositing User:||Sarah McEvoy|
|Date Deposited:||24. Mar 2011 21:55|
|Last Modified:||31. Dec 2015 00:05|
Attema AE, Brouwer WBF (2009). The correction of utility scores for utility curvature using a risk free utility elicitation method. Journal of Health Economics 28(1):234-43.
Brouwer WBF, Koopmanschap MA, Rutten FHH (1997). Productivity costs measurement through quality of life? A response to the recommendation of the Washington Panel. Health Economics 6:253-9.
Brouwer WBF, Koopmanschap MA, Rutten FHH (1997). Productivity costs in cost-effectiveness analysis: numerator or denominator: a further discussion. Health Economics 6:511-4.
Brouwer WBF, Meerding WJ, Lamers L, Severens H (2005). Productivity and health related quality of life – an exploration. PharmacoEconomics 23:209-18.
Brouwer WBF, Grootenboer S, Sendi P (2009). The incorporation of income and leisure in health state valuations when the measure is silent: an empirical inquiry into the sound of silence. Medical Decision Making, in press.
Davidson T, Levin LA (2008). Do individuals consider expected income when valuing health states? International Journal of Technology Assessment in Health Care 24(4):488-94.
Dolan P (1997). Modelling valuations for EuroQol health states. Medical Care 35(11):1095-108.
Gold MR, Siegel JE, Russell LB, Weinstein MC (1996). Cost-effectiveness in health and medicine. Oxford: Oxford University Press.
House of Commons Health Select Committee (2007). First Report of Sessions 2007-8 on the National Institute for Health and Clinical Excellence. http://www.publications.parliament.uk/pa/cm200708/cmselect/cmhealth/27/2702.htm [accessed 26 May 2008]
Koopmanschap MA, van Ineveld B (1992). Towards a new approach for estimating indirect costs of disease. Social Science and Medicine 34:1005-10.
Koopmanschap M, Rutten FHH (1993). Indirect costs in economic studies. Pharmacoeconomics 4:446-54.
Koopmanschap MA, Rutten FHH, van Ineveld B, Van Roijen L (1995). The friction cost method of measuring the indirect costs of disease. Journal of Health Economics 14:171-89.
Krol M, Brouwer WBF, Sendi P (2006). Productivity costs in health-state valuations: does explicit instruction matter? Pharmacoeconomics 24:401-14.
Krol M, Sendi P, Brouwer WBF (2009). Breaking the silence: Exploring the potential effects of explicit instructions on incorporating income and leisure in TTO exercises. Value in Health 12(10):172-80.
Lamers LM, McDonnell J, Stalmeier PFM, Krabbe PFM, Busschbach JJV (2006). The Dutch tariff: Results and arguments for an effective design for national EQ-5D valuations studies. Health Economics 15(10):1121-32.
Meltzer D, Johannesson M (1999). Inconsistencies in the “societal perspective” on costs of the Panel on Cost-Effectiveness in Health and Medicine. Medical Decision Making 19:371-7.
Meltzer D, Weckerle CE, Chang LM (1999). Do people consider financial effects in answering quality of life questions? Medical Decision Making 19:517.
Myers J, McCabe S, Gohmann S (2007). Quality-of-life assessment when there is a loss of income. Medical Decision Making 27:27-33.
NICE (2004) Guide to the Methods of Technology Appraisal (reference N0515)
NICE (2008) Guide to the Methods of Technology Appraisal (reference N1618)
Rice D, Cooper B (1967). The economic value of human life. American Journal of Public Health 57:1954-66.
Richardson J, Peacock S, Lezzi A (2008). Do quality-adjusted life years take account of lost income? Evidence from an Australian survey. European Journal of Health Economics, forthcoming.
Sendi P, Brouwer WBF (2005). Is silence golden? A test of the incorporation of the effects of ill-health on income and leisure in health state valuations. Health Economics 14:643-7.
Tilling C, Krol M, Tsuchiya A, Brazier J, Brouwer WBF (2008). In or out? Income losses in health state valuation: a review. Manuscript.
Van Nooten FE, Koolman X, Brouwer WBF (2009). Thirty down, ten to go? Health Economics, in press.
Weisbrod BA (1961). The valuation of human capital. Journal of Political Economy 69(5):425-36.