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Worker replacement and cost-benefit analysis of life-saving health care programs, a precautionary note

Published online by Cambridge University Press:  22 January 2014

Philippe Tessier ,
Hélène Sultan-Taïeb  and
Thomas Barnay
Philippe Tessier*
Affiliation:
Faculté de Médecine, Université de Nantes, SPHERE (EA 4275), France
Hélène Sultan-Taïeb
Affiliation:
Université du Québec à Montréal (UQAM), Centre de recherche interdisciplinaire sur la biologie, la santé, la société et l'environnement (CINBIOSE), Québec; Laboratoire d’Économie Gestion (UMR CNRS 5118), Université de Bourgogne, France
Thomas Barnay
Affiliation:
Université Paris-Est Créteil (UPEC), ERUDITE, CNRS TEPP (FR 3435), France
*
*Corresponding to: Philippe Tessier, Université de Nantes, Faculté de Médecine, 1 rue Gaston Veil, 44035 Nantes Cedex 1, France. Email: [email protected]
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Abstract

The assumption according to which ill individuals can be replaced at work that underpins the ‘friction cost method’ (FCM) to value productivity costs has been primarily discussed within the framework of cost-utility analysis. This paper investigates the consequences of this assumption for cost-benefit analysis (CBA). It makes three contributions. First, it provides the first analytical account of the overall consequences of ill worker replacement on social welfare and it analyzes the associated compensation effects within a CBA framework. Second, it highlights a double counting problem that arises when ill worker replacement is assumed in the CBA of life-saving health care programs. To the best of our knowledge, no satisfactory solution to this problem has yet been provided in the literature. Third, this paper suggests and discusses two original ways to address this double counting issue. One consists in adjusting value of a statistical life estimations for the well-being provided by future incomes. Another possibility lies in the estimation of marginal rates of substitution between health and wealth so as to directly monetize the value of life over and above consumption. We show that both solutions raise unresolved questions that should be addressed in future research to enable appropriate use of the FCM in CBA.

Type
Articles
Information
Health Economics, Policy and Law , Volume 9 , Issue 2 , April 2014 , pp. 215 - 229
Copyright
Copyright © Cambridge University Press 2014 

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References

Anderson, H. and Treich, N. (2011), ‘The Value of a Statistical Life’, in A. de Palma, R. Lindsey, E. Quinet and R. Vickerman (eds), The Handbook in Transport Economics, Cheltenham, UK: Edward Elgar, 396–424.Google Scholar
Ashenfelter, O. (2006), ‘Measuring the value of a statistical life: problems and prospects’, Economic Journal, 116(510): C10–C23.Google Scholar
Baker, R., Currie, G. R. and Donaldson, C. (2010), ‘What needs to be done in contingent valuation: have Smith and Sach missed the boat?’, Health Economics Policy and Law, 5(Pt 1): 113–121.Google Scholar
Brouwer, W. B. and Koopmanschap, M. A. (2005), ‘The friction-cost method: replacement for nothing and leisure for free?’, Pharmacoeconomics, 23(2): 105–111.Google Scholar
Brouwer, W. B., Koopmanschap, M. A. and Rutten, F. F. (1997), ‘Productivity costs measurement through quality of life? A response to the recommendation of the Washington Panel’, Health Economics, 6(3): 253–259.Google Scholar
Clark, A. (2006), ‘A note on unhappiness and unemployment duration’, Applied Economics Quarterly, 52(4): 291–308.Google Scholar
Covey, J., Robinson, A., Jones-Lee, M. and Loomes, G. (2010), ‘Responsibility, scale and the valuation of rail safety’, Journal of Risk and Uncertainty, 40: 85–108.Google Scholar
Currie, G. R., Donaldson, C., O’Brien, B. J., Stoddart, G. L., Torrance, G. W. and Drummond, M. F. (2002), ‘Willingness to pay for what? A note on alternative definitions of health care program benefits for contingent valuation studies’, Medical Decision Making, 22(6): 493–497.CrossRefGoogle ScholarPubMed
Dolan, P., Metcalfe, R., Munro, V. and Christensen, M. C. (2008), ‘Valuing lives and life years: anomalies, implications, and an alternative’, Health Economics Policy and Law, 3(Pt 3): 277–300.Google Scholar
Drummond, M. F., Sculpher, M. J. and Torrance, G. W. (2005), Methods for the Economic Evaluation of Health Care Programmes, 3rd edn, Oxford: Oxford University Press.Google Scholar
Gyrd-Hansen, D. (2003), ‘Willingness to pay for a QALY’, Health Economics, 12(12): 1049–1060.Google Scholar
Hammitt, J. K. (2002), ‘QALYs versus WTP’, Risk Analysis, 22(5): 985–1001.Google Scholar
Hanly, P., Timmons, A., Walsh, P. M. and Sharp, L. (2012), ‘Breast and prostate cancer productivity costs: a comparison of the human capital approach and the friction cost approach’, Value in Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research, 15(3): 429–436.Google Scholar
Herrero, C. and Moreno-Ternero, J. D. (2009), ‘Estimating production costs in the economic evaluation of health-care programs’, Health Economics, 18(1): 21–35.Google Scholar
Hirth, R. A., Chernew, M. E., Miller, E., Fendrick, A. M. and Weissert, W. G. (2000), ‘Willingness to pay for a quality-adjusted life year: in search of a standard’, Medical Decision Making, 20(3): 332–342.Google Scholar
Johannesson, M. (1996), ‘The willingness to pay for health changes, the human-capital approach and the external costs’, Health Policy, 36(3): 231–244.Google Scholar
Johannesson, M. and Karlsson, G. (1997), ‘The friction cost method: a comment’, Journal of Health Economics, 16(2): 249–255, discussion 257-259.Google Scholar
Kenkel, D. (2006), ‘WTP- and QALY-based approaches to valuing health for policy: common ground and disputed territory’, Environmental & Resource Economics, 34: 419–437.Google Scholar
Koopmanschap, M. A. and van Ineveld, B. M. (1992), ‘Towards a new approach for estimating indirect costs of disease’, Social Science and Medicine, 34(9): 1005–1010.Google Scholar
Koopmanschap, M. A., Rutten, F. F., van Ineveld, B. M. and van Roijen, L. (1995), ‘The friction cost method for measuring indirect costs of disease’, Journal of Health Economics, 14(2): 171–189.Google Scholar
Koopmanschap, M. A., Rutten, F., van Ineveld, M. and van Roijen, L. (1997), ‘Reply to Johanneson’s and Karlsson’s comment’, Journal of Health Economics, 16: 257–259.Google Scholar
Krol, M., Brouwer, W. and Rutten, F. (2013), ‘Productivity costs in economic evaluations: past, present, future’, Pharmacoeconomics, 31(7): 537–549.Google Scholar
Liljas, B. (1998), ‘How to calculate indirect costs in economic evaluations’, Pharmacoeconomics, 13(1 Pt 1): 1–7.Google Scholar
Liljas, B. and Lindgren., B. (2001), ‘On individual preferences and aggregation in economic evaluation in healthcare’, PharmacoEconomics, 19(4): 323–335.Google Scholar
Mason, H., Jones-Lee, M. and Donaldson, C. (2009), ‘Modelling the monetary value of a QALY: a new approach based on UK data’, Health Economics, 18(8): 933–950.CrossRefGoogle ScholarPubMed
Miller, T. R. (2000), ‘Valuing nonfatal quality of life losses with quality-adjusted life years: the health economist’s meow’, Journal of Forensic Economics, 13: 145–167.Google Scholar
Oliva, J., Lobo, F., Lopez-Bastida, J., Zozaya, N. and Romay, R. (2005), ‘Indirect costs of cervical and breast cancers in Spain’, European Journal of Health Economics, 6(4): 309–313.Google Scholar
Oliva-Moreno, J., Lopez-Bastida, J., Montejo-Gonzalez, A. L., Osuna-Guerrero, R. and Duque-Gonzalez, B. (2009), ‘The socioeconomic costs of mental illness in Spain’, European Journal of Health Economics, 10(4): 361–369.Google Scholar
Olsen, J. A. and Richardson, J. (1999), ‘Production gains from health care: what should be included in cost-effectiveness analyses?’, Social Science and Medicine, 49(1): 17–26.Google Scholar
Pinto-Prades, J. L., Loomes, G. and Brey, R. (2009), ‘Trying to estimate a monetary value for the QALY’, Journal of Health Economics, 28: 553–562.Google Scholar
Rice, D. P. (1967), ‘Estimating the cost of illness’, American Journal of Public Health, 57(3): 424–440.Google Scholar
Richardson, J., Peacock, S. and Lezzi, A. (2009), ‘Do quality-adjusted life years take account of lost income? Evidence from an Australian survey’, European Journal of Health Economics, 10: 103–109.Google Scholar
Stutzer, A. and Frey, B. (2010), ‘Recent advances in the economics of individual subjective well-being’, Social Research, 77(2): 679–714.Google Scholar
Tilling, C., Krol, M., Tsuchiya, A., Brazier, J. and Brouwer, W. (2010), ‘In or out? Income losses in health state valuations: a review’, Value in Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research, 13(2): 298–305.Google Scholar
Viscusi, W. K. (2008), ‘How to value a life’, Journal of Economics and Finance, 32: 311–323.Google Scholar
Viscusi, W. K. (2010), ‘The heterogeneity of the value of statistical life: introduction and overview’, Journal of Risk and Uncertainty, 40: 1–13.CrossRefGoogle Scholar
Viscusi, W. K. and Aldy, J. (2003), ‘The value of a statistical life: a critical review of market estimates throughout the world’, Journal of Risk and Uncertainty, 27: 5–76.Google Scholar
Weinstein, M. C., Siegel, J. E., Garber, A. M., Lipscomb, J., Luce, B. R., Manning, W. G. Jr and Torrance, G. W. (1997), ‘Productivity costs, time costs and health-related quality of life: a response to the Erasmus Group’, Health Economics, 6(5): 505–510.Google Scholar
Welte, R., van den Dobbelsteen, G., Bos, J. M., de Melker, H., van Alphen, L., Spanjaard, L., Rumke, H. C. and Postma, M. J. (2004), ‘Economic evaluation of meningococcal serogroup C conjugate vaccination programmes in The Netherlands and its impact on decision-making’, Vaccine, 23(4): 470–479.Google Scholar
Zweifel, P., Breyer, F. and Kifmann, M. (2009), Health Economics, Oxford: Oxford University Press.Google Scholar