Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

How to Determine the Optimal Number of Cardiologists in the Region?

Version 1 : Received: 13 September 2023 / Approved: 14 September 2023 / Online: 14 September 2023 (10:51:27 CEST)

A peer-reviewed article of this Preprint also exists.

Nagapetyan, A.; Drozd, A.; Subbotovsky, D. How to Determine the Optimal Number of Cardiologists in a Region? Mathematics 2023, 11, 4422. Nagapetyan, A.; Drozd, A.; Subbotovsky, D. How to Determine the Optimal Number of Cardiologists in a Region? Mathematics 2023, 11, 4422.

Abstract

The paper proposes an approach to determine the optimal number of medical specialists in the region. According to the author's theoretical model, in order to maximize public welfare, the marginal contribution of the last physician recruited to the growth of the public utility function should be equal to the marginal cost of attracting him and providing conditions for his work. To empirically assess the contribution of physicians to the number of lives saved, the CVD mortality rate is modeled using the instrumental variable method. On average, a 1% increase in the number of cardiologists is associated with a 0.6% decrease in cardiovascular mortality. At the level of provision with cardiologists in the amount of 1 per 100 thousand people, their marginal contribution to the number of lives saved is not less than 129 per 100 thousand people, with a further decrease by 5 people with the increase in the level of provision by 1 unit. The use of the obtained results will increase the validity of managerial decisions and in determining the optimal level of doctors when choosing between alternative possibilities of spending money on hiring doctors of different profiles or other expenses, especially in the case of limited resources.

Keywords

health care markets; cardiovascular mortality; health care workforce; applied microeconometrics; spatial econometrics; instrumental variable method; quasi-public goods

Subject

Business, Economics and Management, Econometrics and Statistics

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