Abstract
Background
An increasing body of literature is exploring whether the age of the recipient of health care should be a criterion in how health care resources are allocated. The existing literature is constrained both by the relatively small number of age comparison groups within preference-elicitation studies, and by a paucity of methodological robustness tests for order and framing effects and the reliability and transitivity of preferences that would strengthen confidence in the results. This paper reports the results of a study aimed at estimating granulated age-related weights for health gains across the age spectrum that can potentially inform health care decision-making.
Methods
A sample of 2,500 participants recruited from the health care consumer panels of a social research company completed a person trade-off (or ‘matching’) study designed to estimate age-related weights for 5- and 10-year life extensions. The results are presented in terms of matrices for alternative age comparisons across the age spectrum.
Results
The results revealed a general, although not invariable, tendency to give more weight to health gains, expressed in terms of life extensions, in younger age groups. In over 85% of age comparisons, the person trade-off exercises revealed a preference for life extensions by the younger of the two age groups that were compared. This pattern held regardless of the method of aggregating responses across study participants. Moreover, the relative weight placed on life extensions by the younger of the two age groups was generally, although not invariably, found to increase as the age difference between the comparator age groups increased. Further analyses revealed that the highest mean relative weight placed on life extensions was estimated for 30-year-olds when the ratio of means method was used to aggregate person trade-off responses across study participants. The highest mean relative weight placed on life extensions was estimated for 10-year-olds for 5-year life extensions and for 30-year-olds for 10-year life extensions, when the median of individual ratios method was used to aggregate person trade-off responses across study participants. Methodological tests framed around alternative referents in the person trade-off questions and the stability of preferences had no discernible effects on the study results.
Conclusion
This study has produced new evidence on age-related weights for health gains that can potentially inform health care decision-making.
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References
Canadian Agency for Drugs and Technology in Health (CADTH). Guidelines for the economic evaluation of health technologies: Canada. 3rd ed. Ottawa: CADTH; 2006.
National Institute for Health and Clinical Excellence (NICE). NICE guide to the methods of technology appraisal. London: NICE; 2008.
Pharmaceutical Benefits Advisory Committee (PBAC). Guidelines for preparing submissions to the Pharmaceutical Benefits Advisory Committee (version 4.3). Canberra: Australian Government Department of Health and Ageing; 2008.
Torrance GW, Feeny D. Utilities and quality-adjusted life years. Int J Technol Assess Health Care. 1989;5(4):559–75.
Devlin N, Parkin D. Does NICE have a cost-effectiveness threshold and what other factors influence its decisions? A binary choice analysis. Health Econ. 2004;13(5):437–52.
Rawlins MD, Culyer AJ. National Institute for Clinical Excellence and its value judgments. BMJ. 2004;329(7459):224–7.
Barbieri M, Drummond M, Willke R, Chancellor J, Jolain B, Towse A. Variability of cost-effectiveness estimates for pharmaceuticals in Western Europe: lessons for inferring generalizability. Value Health. 2005;8(1):10–23.
Grosse SD. Assessing cost-effectiveness in healthcare: history of the $50,000 per QALY threshold. Expert Rev Pharmacoecon Outcomes Res. 2008;8(2):165–78.
Culyer A, McCabe C, Briggs A, Claxton K, Buxton M, Akehurst R, et al. Searching for a threshold, not setting one: the role of the National Institute for Health and Clinical Excellence. J Health Serv Res Policy. 2007;12(1):56–8.
Baker R, Bateman I, Donaldson C, Jones-Lee M, Lancsar E, Loomes G, et al. Weighting and valuing quality-adjusted life-years using stated preference methods: preliminary results from the social value of a QALY project. Health Technol Assess. 2010;14(27):1–162.
Dolan P, Edlin R, Tsuchiya A, on behalf of the NICE Social QALY Team. The relative societal value of health gains to different beneficiaries: a summary. Health Economics and Decision Science Discussion Paper Series No. 08/12. Sheffield: University of Sheffield; 2008.
Gyrd-Hansen D. Investigating the social value of health changes. J Health Econ. 2004;23(6):1101–16.
Shmueli A. Investing in early detection versus intensive treatment for breast cancer: a study of the Israeli public priorities. Health Expect. 1999;2(3):179–84.
Abasolo I, Tsuchiya A. Exploring social welfare functions and violation of monotonicity: an example from inequalities in health. J Health Econ. 2004;23(2):313–29 (discussion 332–4).
Browning CJ, Thomas SA. Community values and preferences in transplantation organ allocation decisions. Soc Sci Med. 2001;52(6):853–61.
Ubel PA, Baron J, Asch DA. Social responsibility, personal responsibility, and prognosis in public judgments about transplant allocation. Bioethics. 1999;13(1):57–68.
Agee M, Crocker T. Smoking parents’ valuations of own and children’s health. Association of Environmental and Resource Economists Workshop; 13–15 Jun 2001; Bar Harbor.
Blomquist GC, Miller TR, Levy DT. Values of risk reduction implied by motorist use of protection equipment—new evidence from different populations. J Transp Econ Policy. 1996;30(1):55–66.
Leung J, Guria J. Value of statistical life: adults versus children. Accident Anal Prev. 2006;38(6):1208–17.
Nastis S, Crocker T. Pregnant mother’s valuation of own and of child health. US EPA Workshop on Valuing Environmental Health Risks to Children; 20–21 Oct 2003; Washington, DC.
Dolan P, Olsen JA, Menzel P, Richardson J. An inquiry into the different perspectives that can be used when eliciting preferences in health. Health Econ. 2003;12(7):545–51.
Charny MC, Lewis PA, Farrow SC. Choosing who shall not be treated in the NHS. Soc Sci Med. 1989;28(12):1331–8.
Busschbach JJV, Hessing DJ, Decharro FT. The utility of health at different stages in life—a quantitative approach. Soc Sci Med. 1993;37(2):153–8.
Nord E, Richardson J, Street A, Kuhse H, Singer P. Maximizing health benefits vs egalitarianism: an Australian survey of health issues. Soc Sci Med. 1995;41(10):1429–37.
Rodriguez E, Pinto JL. The social value of health programmes: is age a relevant factor? Health Econ. 2000;9(7):611–21.
Jelsma J, Shumba D, Kristian H, De Weerdt W, De Cock P. Preferences of urban Zimbabweans for health and life lived at different ages. Bull World Health Organ. 2002;80(3):204–9.
Tsuchiya A. The value of health at different ages. York: Centre for Health Economics, University of York; 2001.
Tsuchiya A, Dolan P, Shaw R. Measuring people’s preferences regarding ageism in health: some methodological issues and some fresh evidence. Soc Sci Med. 2003;57(4):687–96.
Eisenberg D, Freed GL, Davis MM, Singer D, Prosser LA. Valuing health at different ages: evidence from a nationally representative survey in the US. Appl Health Econ Health Policy. 2011;9(3):149–56.
Prosser LA, Payne K, Rusinak D, Shi P, Uyeki T, Messonnier M. Valuing health across the lifespan: health state preferences for seasonal influenza illnesses in patients of different ages. Value Health. 2011;14(1):135–43.
Nord E, Street A, Richardson J, Kuhse H, Singer P. The significance of age and duration of effect in social evaluation of health care. Health Care Anal. 1996;4(2):103–11.
Fielding N, Lee RM, Blank G. Online research methods. London: Sage; 2008.
Brazier J, Ratcliffe J, Salomon J, Tsuchiya A. Measuring and valuing health benefits for economic evaluation. Oxford: Oxford University Press; 2007.
Brooks R. EuroQol: the current state of play. Health Policy. 1996;37(1):53–72.
Nord E. The validity of a visual analogue scale in determining social utility weights for health states. Int J Health Plann Manage. 1991;6(3):234–42.
Dolan P, Tsuchiya A. The person trade-off method and the transitivity principle: an example from preferences over age weighting. Health Econ. 2003;12(6):505–10.
Nord E. The trade-off between severity of illness and treatment effect in cost-value analysis of health care. Health Policy. 1993;24(3):227–38.
Pinto-Prades JL, Abellan-Perpinan JM. Measuring the health of populations: the veil of ignorance approach. Health Econ. 2005;14(1):69–82.
Robinson S. Test–retest reliability of health state valuation techniques: the time trade off and person trade off. Health Econ. 2011;20(11):1379–91.
Marchant T. Cardinality and the Borda score. Eur J Oper Res. 1998;108(2):464–72.
McGraw KO, Wong SP. Forming inferences about some intraclass correlation coefficients. Psychol Methods. 1996;1(1):30–46.
Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.
Dolan P, Gudex C, Kind P, Williams A. The time trade-off method: results from a general population study. Health Econ. 1996;5(2):141–54.
Johannesson M, Johansson PO. Is the valuation of a QALY gained independent of age? Some empirical evidence. J Health Econ. 1997;16(5):589–99.
Ratcliffe J. Public preferences for the allocation of donor liver grafts for transplantation. Health Econ. 2000;9(2):137–48.
Cropper ML, Aydede SK, Portney PR. Preferences for life saving programs—how the public discounts time and age. J Risk Uncertain. 1994;8(3):243–65.
Wailoo A, Tsuchiya A. Briefing paper for methods review workshop on QALY weighting, London, UK: NICE; National Institute of Health and Care Excellence; 2011.
Ubel PA, Richardson J, Baron J. Exploring the role of order effects in person trade-off elicitations. Health Policy. 2002;61(2):189–99.
Acknowledgements
We are grateful to colleagues in our respective departments for their comments on this paper.
Funding from the UK Medical Research Council for this study is gratefully acknowledged. The views herein expressed are those of the authors and not necessarily those of the funding body.
Conflicts of interest
There are no conflicts of interest. SP designed the study, undertook some of the analyses and wrote the paper. NK conducted several of the analyses. AR and RB contributed to the study design and interpretation of results. SP acts as the guarantor.
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Petrou, S., Kandala, NB., Robinson, A. et al. A Person Trade-Off Study to Estimate Age-Related Weights for Health Gains in Economic Evaluation. PharmacoEconomics 31, 893–907 (2013). https://doi.org/10.1007/s40273-013-0085-y
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DOI: https://doi.org/10.1007/s40273-013-0085-y