More 'con' than 'joint': Problems with the application of conjoint analysis to participatory healthcare decision making

Critical Public Health

Volumn 13, Issue 4, 2003, Pages 373-380

  Wainwright, David M ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONSUMER; DATA ANALYSIS; HEALTH CARE DELIVERY; HEALTH CARE MANAGEMENT; HEALTH CARE UTILIZATION; HEALTH SERVICE; HUMAN; MARKETING; MEDICAL DECISION MAKING; METHODOLOGY; REGRESSION ANALYSIS;

EID: 0344898253     PISSN: 09581596     EISSN: None     Source Type: Journal    
DOI: 10.1080/09581590310001615899     Document Type: Article

References (25)

1. Bak, A. (2001) Selected methodological problems with conjoint analysis. Przeglad Statystyczny, 48(1-2), pp. 171-184.
2. Beenstock, M., Goldin, E. & Haitovsky, Y. (1998) Response bias in a conjoint analysis of power outages. Energy Economics, 20(2), pp. 135-156.
3. Boyle, K.J., Holmes, T.P., Teisl, M.F. & Roe, B. (2001) A comparison of conjoint analysis response formats. American Journal of Agricultural Economics, 83(2), pp. 441-454.
4. Britten, N. (1999) Qualitative interviews in health care research. In: Pope, C. & Mays, N. (eds) Qualitative Research in Health Care, 2nd edn (London, BMJ Books).
5. Cattin, P. & Wittinck, D. (1982) Commercial use of conjoint analysis: a survey. Journal of Marketing, 46, pp. 45-53.
6. Chen, K.D. & Hausman, W.H. (2000) Technical note: mathematical properties of the optimal product line selection problem using choice-based conjoint analysis. Management Science, 46(2), pp. 327-332.
7. de Vaus, D. (1991) Surveys in Social Research, 3rd edn (London, UCL Press/Allen & Unwin).
8. Gabe, J. & Calnan, M. (2000) Health care and consumption. In: Williams, S.J., Gabe, J. & Calnan, M. Health Medicine and Society: Key Theories, Future Agendas (London, Routledge), pp. 255-273.
9. HMSO (1992) The Patient's Charter: What Users Think (Edinburgh, HMSO).
10. Kelpin, V. (1984) Birthing pain. Phenomenology & Pedagogy: A Human Science Journal, 2(2), pp. 178-187.
11. Lee, K. & Mills, A. (1982) Policy-making and Planning in the Health Sector (London, Croom Helm).
12. McClain, J. & Rao, V. (1974) Trade-off and conflicts in evaluation of health system alternatives: methodology for analysis. Health Services Research, 9, pp. 35-52.
13. Merleau-Ponty, M. (1962) Phenomenology of Perception (London, Routledge & Kegan Paul).
14. NHS Management Executive (1992) Local Voices. The Views of Local People in Purchasing for Health (London, NHSME).
15. Opaluch, J., Swallow, S., Weaver, T., Wessells, C. & Wichelns, D. (1993) Evaluating impacts from noxious facilities: including public preferences in current siting mechanisms. Journal of Environmental Economics and Management, 24, pp. 41-59.
16. Parker, B. & Srinivasan, V. (1976) A consumer preference approach to the planning of rural primary health care facilities. Operations Research, 24, pp. 991-1025.
17. Ryan, M. (1996) Using Consumer Preferences in Health Care Decision-making: The Application of Conjoint Analysis (London, Office of Health Economics).
18. 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, 48, pp. 535-546.
19. Ryan, M. & Farrar, S. (1995) Conjoint Analysis: A New Tool for Eliciting Patients' Preferences, Briefing Paper for the NHS in Scotland, No. 6 (Aberdeen, Health Economics Research Unit, University of Aberdeen).
20. Ryan, M. & Farrar, S. (2000) Using conjoint analysis to elicit preferences for health care. British Medical Journal, 320, pp. 1530-1533.
21. Ryan, M. & Hughes, J. (1997) Using conjoint analysis to value surgical versus medical management of miscarriage. Health Economics, 6, pp. 261-273.
22. San Miguel, F., Ryan, M. & McIntosh, E. (1997) Establishing Women's Preferences for Treatment of Menorraghia Using the Technique of Conjoint Analysis, Health Economics Research Unit Discussion Paper 07/97 (Aberdeen, University of Aberdeen).
23. Sandberg, A. (1976) The Limits to Democratic Planning (Stockholm, Liberforlag).
24. Van der Pol, M. & Cairns, J. (1998) Establishing patient preferences for blood transfusion support: an application of conjoint analysis. Journal of Health Services Research and Policy, 3, pp. 70-76.
25. Wardman, M. (1988) A comparison of revealed preference and stated preference models. Journal of Transport Economics and Policy, 22, pp. 71-91.