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Complexity and doctor choices when discussing contraceptives

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  • Fiebig, D.G.
  • Viney, R.
  • Haas, M.
  • Knox, S.
  • Street, D.
  • Weisberg, E.
  • Bateson, D.

Abstract

In order to better understand choice behaviour, econometric models need to be able to reflect the complexity of decisions that individuals routinely face. We investigate the role of choice complexity in modelling medical decision-making in the case of a doctor choosing which specific contraceptive products to discuss with their patient before ultimately making a recommendation. Clinical vignettes describing patients, developed using stated preference methods, are presented to a sample of Australian general practitioners. An econometric model is developed that captures two salient sources of complexity. The first is associated with patients with particularcombinations of clinical and demographic attributes that induce uncertainty around what product to recommend while the second captures variation in the ability of doctors to find appropriate patient-product matches. We are especially interested in the tendencies of doctors to discuss long-acting reversible contraception (LARC) in order to determine whether part of the explanation for the relatively low uptake of LARC in Australia is reluctance on the part of some doctors to even discuss these products.

Suggested Citation

  • Fiebig, D.G. & Viney, R. & Haas, M. & Knox, S. & Street, D. & Weisberg, E. & Bateson, D., 2015. "Complexity and doctor choices when discussing contraceptives," Health, Econometrics and Data Group (HEDG) Working Papers 15/14, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:15/14
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    1. Robert Bartels & Denzil Fiebig & Arthur Soest, 2006. "Consumers and experts: an econometric analysis of the demand for water heaters," Empirical Economics, Springer, vol. 31(2), pages 369-391, June.
    2. Currie, Janet & Lin, Wanchuan & Zhang, Wei, 2011. "Patient knowledge and antibiotic abuse: Evidence from an audit study in China," Journal of Health Economics, Elsevier, vol. 30(5), pages 933-949.
    3. Frank, Richard G. & Lamiraud, Karine, 2009. "Choice, price competition and complexity in markets for health insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 550-562, August.
    4. Frank, Richard G. & Zeckhauser, Richard J., 2007. "Custom-made versus ready-to-wear treatments: Behavioral propensities in physicians' choices," Journal of Health Economics, Elsevier, vol. 26(6), pages 1101-1127, December.
    5. Hole, Arne Risa & Kolstad, Julie Riise & Gyrd-Hansen, Dorte, 2013. "Inferred vs. stated attribute non-attendance in choice experiments: A study of doctors’ prescription behaviour," Journal of Economic Behavior & Organization, Elsevier, vol. 96(C), pages 21-31.
    6. Swait, Joffre & Adamowicz, Wiktor, 2001. "Choice Environment, Market Complexity, and Consumer Behavior: A Theoretical and Empirical Approach for Incorporating Decision Complexity into Models of Consumer Choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 86(2), pages 141-167, November.
    7. Lutfey, Karen E. & Link, Carol L. & Grant, Richard W. & Marceau, Lisa D. & McKinlay, John B., 2009. "Is certainty more important than diagnosis for understanding race and gender disparities?: An experiment using coronary heart disease and depression case vignettes," Health Policy, Elsevier, vol. 89(3), pages 279-287, March.
    8. Bateman, Hazel & Eckert, Christine & Geweke, John & Louviere, Jordan & Satchell, Stephen & Thorp, Susan, 2014. "Financial competence, risk presentation and retirement portfolio preferences," Journal of Pension Economics and Finance, Cambridge University Press, vol. 13(1), pages 27-61, January.
    9. Denzil G. Fiebig & Stephanie Knox & Rosalie Viney & Marion Haas & Deborah J. Street, 2011. "Preferences for new and existing contraceptive products," Health Economics, John Wiley & Sons, Ltd., vol. 20(S1), pages 35-52, September.
    10. Lu, Fangwen, 2014. "Insurance coverage and agency problems in doctor prescriptions: Evidence from a field experiment in China," Journal of Development Economics, Elsevier, vol. 106(C), pages 156-167.
    11. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    12. de Palma, Andre & Myers, Gordon M & Papageorgiou, Yorgos Y, 1994. "Rational Choice under an Imperfect Ability to Choose," American Economic Review, American Economic Association, vol. 84(3), pages 419-440, June.
    13. Zsolt Sándor & Philip Hans Franses, 2009. "Consumer price evaluations through choice experiments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(3), pages 517-535, April.
    14. Heiner, Ronald A, 1983. "The Origin of Predictable Behavior," American Economic Review, American Economic Association, vol. 73(4), pages 560-595, September.
    15. Denzil G. Fiebig & Rosalie Viney & Stephanie Knox & Marion Haas & Deborah J. Street & Arne R. Hole & Edith Weisberg & Deborah Bateson, 2017. "Consideration Sets and Their Role in Modelling Doctor Recommendations About Contraceptives," Health Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 54-73, January.
    16. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    17. Marisa J. Mazzotta & James J. Opaluch, 1995. "Decision Making When Choices Are Complex: A Test of Heiner's Hypothesis," Land Economics, University of Wisconsin Press, vol. 71(4), pages 500-515.
    18. Yuanyuan Gu & Arne Risa Hole & Stephanie Knox, 2013. "Fitting the generalized multinomial logit model in Stata," Stata Journal, StataCorp LP, vol. 13(2), pages 382-397, June.
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    Cited by:

    1. Patricia Kenny & Stephen Goodall & Deborah J. Street & Jessica Greene, 2017. "Choosing a Doctor: Does Presentation Format Affect the Way Consumers Use Health Care Performance Information?," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(6), pages 739-751, December.

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    More about this item

    Keywords

    choice models; complex decisions; medical decision making; long-acting reversible contraception; clinical vignettes;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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