With the rapid growth in the development of new health care technologies, including both drugs and devices, health care decision makers worldwide are facing the challenge of making technology coverage decisions. Decisions have to be made concerning which technologies to fund, and these decisions have to be made in both public and private insurance settings. In order to ensure that health care resources are used in the most appropriate manner health care decision makers need to adopt robust processes for setting priorities. Recent developments in the UK, such as the launch of the National Institute for Health and Clinical Excellence (NICE), have encouraged a more open debate about the principles and issues concerned in health care resource allocation decisions (Entwistle et al., 1996; New, 1996; Rawlins, 1999). However, the appropriate criteria that should be used in setting priorities in a publicly funded health care system are far from clear. From a health economics perspective, one criterion that might be considered as part of the decision-making process when setting health care priorities is the maximisation of quality-adjusted life years (QALYs). A QALY-maximisation approach would then involve the targeting of resources towards health care interventions and services that were expected to deliver the largest gain in QALYs, for every dollar (or pound, euro, etc.) spent.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Altman, D. 1991. Practical Statistics for Medical Research. London: Chapman & Hall.
Bates, J. 1988. Econometric issues in SP Analysis. Journal of Transport Economics and Policy, vol 22 (1), 59–70.
Bradley, M. 1991. User’s manual for SPEED version 2.1 sated preference experiment editor and designer. The Hague: Hague Consulting Group.
Bryan, S. and Dolan, P. 2004. Discrete choice experiments in health economics: for better or for worse? European Journal of Health Economics, vol 5 (3), 199–203.
Bryan, S., Buxton, M., Sheldon, R. and Grant, A. 1998. Magnetic resonance imaging for the investigation of knee injuries: an investigation of preferences. Health Economics, vol 7, 595–604.
Bryan, S., Gold, L., Sheldon, R. and Buxton, M. 2000. Preference measurement using conjoint methods: an empirical investigation of reliability. Health Economics, vol 9, 385–395.
Bryan, S., Roberts, T., Heginbotham, C. and McCallum, A. 2002. QALY-maximisation and public preferences: results from a general population survey. Health Economics, vol 11, 679–693.
Dolan, P. 1998. The measurement of individual utility and social welfare. Journal of Health Economics, vol 17, 39–52.
Dolan, P. and Cookson, R. 2000. A qualitative study of the extent to which health gain matters when choosing between groups of patients. Health Policy, vol 51, 19–30.
Dolan, P., Cookson, R. and Ferguson, B. 1999. Effect of discussion and deliberation on the public’s views of priority setting in health care: focus group study. British Medical Journal, vol 318, 916–919.
Entwistle, V.A., Watt, I.S., Bradbury, R. and Pehl, L.J. 1996. Media coverage of the Child B case. British Medical Journal, vol 312, 1587–1591.
EuroQol Group. 1990. EuroQol–a new facility for the measurement of health-related quality of life. Health Policy, vol 16, 199–208.
Gosden, T., Bowler, I. and Sutton, M. 2000. How do general practitioners choose their practice? Preferences for practice and job characteristics. Journal of Health Services Research and Policy, vol 5 (4), 208–213.
Greene, W. 1997. Econometric Analysis. 3rd edn. Englewood Cliffs, NJ: Prentice Hall.
New, B. 1996. The rationing agenda in the NHS. British Medical Journal, vol 312, 1593–1601.
Nord, E. 1994. The Qaly–a measure of social value rather than individual utility? Health Economics, vol 3, 89–93.
Permain, D., Swanson, J., Kroes, E. and Bradley, M. 1991. Stated preference techniques: a guide to practice. The Hague: Steer Davies Gleave and Hague Consulting Group.
Propper, C. 1991. Contingent value of time spent on NHS waiting lists. Economic Journal, vol 100, 193–199.
Rawlins, M. 1999. In pursuit of quality: the National Institute for Clinical Excellence. The Lancet, vol 353, 1079–1082.
Roberts, T., Bryan, S., Heginbotham, C. and McCallum, A. 1999. Public involvement in health care priority setting: an economic perspective. Health Expectations, vol 2, 235–244.
Ryan, M. 1999. Using conjoint analysis to take account of patient preferences and go beyond health outcomes: an application to in vitro fertilisation. Social Science and Medicine, vol 48, 535–546.
Ryan, M. and Hughes, J. 1997. Using conjoint analysis to assess women’s preferences for miscarriage management. Health Economics, vol 6, 261–273.
Vick, S. and Scott, A. 1998. Agency in health care. Examining patients’ preferences for attributes of the doctor–patient relationship. Journal of Health Economics, vol 17, 587–605.
Williams, A. 1985. Economics of coronary artery bypass grafting. British Medical Journal, vol 291, 326–329.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer
About this chapter
Cite this chapter
Bryan, S., Roberts, T. (2008). Preferences for Health Care Programmes: Results from a general population discrete choice survey. In: Ryan, M., Gerard, K., Amaya-Amaya, M. (eds) Using Discrete Choice Experiments to Value Health and Health Care. The Economics of Non-Market Goods and Resources, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5753-3_6
Download citation
DOI: https://doi.org/10.1007/978-1-4020-5753-3_6
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-4082-5
Online ISBN: 978-1-4020-5753-3
eBook Packages: Business and EconomicsEconomics and Finance (R0)