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A cost-benefit analysis on the specialization in departments of obstetrics and gynecology in Japan

Overview of attention for article published in Health Economics Review, March 2012
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Title
A cost-benefit analysis on the specialization in departments of obstetrics and gynecology in Japan
Published in
Health Economics Review, March 2012
DOI 10.1186/2191-1991-2-2
Pubmed ID
Authors

Junyi Shen, On Fukui, Hiroyuki Hashimoto, Takako Nakashima, Tadashi Kimura, Kenichiro Morishige, Tatsuyoshi Saijo

Abstract

In April 2008, the specialization in departments of obstetrics and gynecology was conducted in Sennan area of Osaka prefecture in Japan, which aims at solving the problems of regional provision of obstetrical service. Under this specialization, the departments of obstetrics and gynecology in two city hospitals were combined as one medical center, whilst one hospital is in charge of the department of gynecology and the other one operates the department of obstetrics. In this paper, we implement a cost-benefit analysis to evaluate the validity of this specialization. The benefit-cost ratio is estimated at 1.367 under a basic scenario, indicating that the specialization can generate a net benefit. In addition, with a consideration of different kinds of uncertainty in the future, a number of sensitivity analyses are conducted. The results of these sensitivity analyses suggest that the specialization is valid in the sense that all the estimated benefit-cost ratios are above 1.0 in any case.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 21%
Student > Bachelor 2 14%
Professor 1 7%
Student > Doctoral Student 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Unknown 5 36%
Readers by discipline Count As %
Economics, Econometrics and Finance 3 21%
Medicine and Dentistry 2 14%
Nursing and Health Professions 1 7%
Decision Sciences 1 7%
Business, Management and Accounting 1 7%
Other 0 0%
Unknown 6 43%