GPs’ shifting agencies in choice of treatment

References

• Campbell, D. and Lorimer, V. (2009) Accommodating attribute processing strategies in stated choice analysis: do respondents do what they say they do?, in Presented at the European Association of Environmental and Resource Economists Annual Conference, Amsterdam.
   Google Scholar
• Carlsen, B., Hole, A., Kolstad, J. et al. (2012) When you can’t have the cake and eat it too: a study of medical doctors’ priorities in complex choice situations, Social Science and Medicine, 75, 1964–73.
   PubMed Web of Science ®Google Scholar
• Carlsson, F. and Martinsson, P. (2003) Design techniques for stated preference methods in health economics, Health Economics, 12, 281–94.
   PubMed Web of Science ®Google Scholar
• Cockburn, J. and Pit, S. (1997) Prescribing behaviour in clinical practice: patients’ expectations and doctors’ perceptions of patients’ expectations – a questionnaire study, BMJ, 315, 520–3.
   PubMed Web of Science ®Google Scholar
• de Bekker Grob, E. W., Ryan, M. and Gerard, K. (2010) Discrete choice experiments in health economics: a review of the literature, Health Economics, 21, 145–72.
   PubMed Web of Science ®Google Scholar
• Fiebig, D. G., Keane, M. P., Louviere, J. et al. (2010) The generalized multinomial logit model: accounting for scale and coefficient heterogeneity, Marketing Science, 29, 393–421.
   Web of Science ®Google Scholar
• Gönül, F. F., Carter, F., Petrova, E. et al. (2001) Promotion of prescription drugs and its impact on physicians’ choice behavior, The Journal of Marketing, 6, 79–90.
   Google Scholar
• Greene, W. H. and Hensher, D. A. (2010) Does scale heterogeneity across individuals matter? An empirical assessment of alternative logit models, Transportation, 37, 413–28.
   Web of Science ®Google Scholar
• Gu, Y., Hole, A. R. and Knox, S. (2013) Estimating the generalized multinomial logit model in Stata, Stata Journal, 13, 382–97.
   Web of Science ®Google Scholar
• Hassell, K., Atella, V., Schafheutle, E. I. et al. (2003) Cost to the patient or cost to the healthcare system? Which one matters the most for GP prescribing decisions?, The European Journal of Public Health, 13, 18–23.
   PubMed Web of Science ®Google Scholar
• Hess, S. and Hensher, D. A. (2010) Using conditioning on observed choices to retrieve individual-specific attribute processing strategies, Transportation Research Part B: Methodological, 44, 781–90.
   Web of Science ®Google Scholar
• Hole, A., Kolstad, J. R. and Gyrd-Hansen, D. (2012) Inferred vs. stated attribute non-attendance in choice experiments: a study of doctors’ prescription behaviour, Sheffield Economic Research Paper Series, SERP Number 2012010.
   Google Scholar
• Hole, A. R. and Kolstad, J. R. (2012) Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment, Empirical Economics, 42, 445–69.
   Web of Science ®Google Scholar
• Institute for Rational Pharmacotherapy. (2012) About IRF. Available at http://www.irf.dk/en/about_irf/om_irf.htm (accessed 8 May 2012).
   Google Scholar
• Kahneman, D., Knetsch, J. L. and Thaler, R. H. (1990) Experimental tests of the endowment effect and the Coase theorem, Journal of Political Economy, 6, 1325–48.
   Google Scholar
• Kahneman, D. and Tversky, A. (1979) Prospect theory: an analysis of decision under risk, Econometrica, 47, 263–91.
   Web of Science ®Google Scholar
• Lundin, D. (2000) Moral hazard in physician prescription behavior, Journal of Health Economics, 19, 639–62.
   PubMed Web of Science ®Google Scholar
• Mark, T. L., Kranzler, H. R. and Song, X. (2003) Understanding US addiction physicians’ low rate of naltrexone prescription, Drug and Alcohol Dependence, 71, 219–28.
   PubMed Web of Science ®Google Scholar
• Mark, T. L. and Swait, J. (2003) Using stated preference modeling to forecast the effect of medication attributes on prescriptions of alcoholism medications, Value in Health, 6, 474–82.
   PubMed Web of Science ®Google Scholar
• Mark, T. L. and Swait, J. (2004) Using stated preference and revealed preference modeling to evaluate prescribing decisions, Health Economics, 13, 563–73.
   PubMed Web of Science ®Google Scholar
• McFadden, D. (1974) Conditional logit analysis of qualitative choice behaviour, in Frontiers of Econometrics, Zarembka, P. (Ed.), Academic Press, London, pp. 105–42.
   Google Scholar
• Pedersen, L. B., Kjær, T. and Gyrd-Hansen, D. (2011) The influence of information and private versus public provision on preferences for screening for prostate cancer: a willingness-to-pay study, Health Policy, 101, 277–89.
   PubMed Web of Science ®Google Scholar
• Scarpa, R., Gilbride, T. J., Campbell, D. et al. (2009) Modelling attribute non-attendance in choice experiments for rural landscape valuation, European Review of Agricultural Economics, 36, 151–74.
   Web of Science ®Google Scholar
• Sheehan, K. B. (2001) E-mail survey response rates: a review, Journal of Computer-Mediated Communication, 6. doi:10.1111/j.1083-6101.2001.tb00117.x
   Google Scholar
• Shih, T. H. and Fan, X. (2008) Comparing response rates from web and mail surveys: a meta-analysis, Field Methods, 20, 249–71.
   Web of Science ®Google Scholar
• Train, K. (2003) Discrete Choice Methods with Simulation, Cambridge University Press, Cambridge.
   Google Scholar
• Train, K. and Weeks, M. (2005) Discrete choice models in preference space and willingness-to-pay space, Applications of Simulation Methods in Environmental and Resource Economics, 6, 1–16.
   Google Scholar
• VanGeest, J. B., Johnson, T. P. and Welch, V. L. (2007) Methodologies for improving response rates in surveys of physicians, Evaluation & the Health Professions, 30, 303–21.
   PubMed Web of Science ®Google Scholar