Abstract

This paper has been written after a seminar at the Soton business school (University of Southampton), discussing how market design mechanism can be useful for some medical markets, especially in combination with the reversed algorithm, called reversed conjoint model on physicians’ choices (Huttin, 2014, 2017); this first paper provides a description of two cases, one at the micro level of physician and patient interaction and a second one to integrate the organizational level of primary care groups. The first case is a micro representation of a physician-patient interaction, which can be expanded to integrate various types of heterogeneity of demand for care. The second case introduces the organizational level of primary care, with the example of the fundholding system; it leads to opt for a cooperative approach and to integrate variations between over spenders and lower spenders’ physicians. This paper uses the formalization of a game approach and proposes a stream of research for policy design in decision tools for financing reforms in health care. It explores how market failures in health care can be addressed with engineering economics and implementation of rules for different types of interactions in medical markets. Moreover, the limits to address the sources of heterogeneity between practices with tools such as yardstick competition may be addressed with the fast digitalization of the health system.

Highlights

  • IntroductionThe current research stream on physicians ‘choice models under the collaboration between Professor Christine Huttin and Professor Jerry Hausman aims to better understand the impact of physicians’ choices, either prognostic, diagnostic or treatment choices (especially drug choices) when patients are covered under public versus private insurance schemes or need to decide to switch from private plans to the public plan, Federal Medicare coverage

  • The current research stream on physicians ‘choice models under the collaboration between Professor Christine Huttin and Professor Jerry Hausman aims to better understand the impact of physicians’ choices, either prognostic, diagnostic or treatment choices when patients are covered under public versus private insurance schemes or need to decide to switch from private plans to the public plan, Federal Medicare coverage

  • It leads to improve statistical estimation of predictive expenditure models from conventional logit or probit forms by using random preference components for prices of medical services, proxies for various public and private insurance plans in addition to fixed characteristics associated with patient profiles such as age sex and risk factors or comorbidities and new specification tests on Independent of Irrelevant Alternatives assumptions (IAA)

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Summary

Introduction

The current research stream on physicians ‘choice models under the collaboration between Professor Christine Huttin and Professor Jerry Hausman aims to better understand the impact of physicians’ choices, either prognostic, diagnostic or treatment choices (especially drug choices) when patients are covered under public versus private insurance schemes or need to decide to switch from private plans to the public plan, Federal Medicare coverage. This research question is investigated with new types of mixed logit models to analyze the impact of heterogeneity of physicians’ choices and patients’ characteristics, for various decisions with and without independence of irrelevant alternatives among the choice sets It leads to improve statistical estimation of predictive expenditure models from conventional logit or probit forms by using random preference components for prices of medical services, proxies for various public and private insurance plans in addition to fixed characteristics associated with patient profiles such as age sex and risk factors or comorbidities (e.g., obesity) and new specification tests on Independent of Irrelevant Alternatives assumptions (IAA). It uses previous research materials and a selection of existing publications on medical market analysis from economists using game theory

Background on Game Theorical Approach for the Medical Markets
First Game Case
Strategy Sets
Information Set
Game Form
Functions of Pay-off
Second Game Case at the Level of a Health Care Organization
Positions of Fundholders and Non-Fundholders
Conclusion
Full Text
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