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Association Between Surgeons’ Technical Efficiency and Hospital Revenue

Bibliographic Data

ID13775437
AuthorsYoshinori Nakata (0000-0003-2252-3358, Teikyo University, Tokyo, Japan, corresponding author), Yuichi Watanabe (0000-0001-8658-3769, Waseda University, Tokyo, Japan), Hiroshi Otake (0000-0002-4776-3211, Showa University, Tokyo, Japan)
Year2019
Volume56
Pages46958019889443-46958019889443
Publication date2019-01-01
Open AccessYes
TypeARTICLE
VenueINQUIRY The Journal of Health Care Organization Provision and Financing (JOURNAL)
Journal identifiersISSN: 0046-9580 • E-ISSN: 1945-7243
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0046958019889443
PMID31744349
OpenAlexW2991476110
LanguageEN
Citations received1
References cited12

To evaluate surgeons' performance, health care managers often use the revenues that surgeons make for the hospital. The purpose of this study is to determine the relationship between surgeons' technical efficiency and their revenues by using multiple regression analysis on surgical data. The authors collected data from all the surgical procedures performed at University Hospital from April 1 through September 30 in 2013-2018. Output-oriented Charnes-Cooper-Rhodes model of data envelopment analysis was employed to calculate each surgeon's technical efficiency. Seven independent variables were selected; revenue, experience, medical school, surgical volume, sex, academic rank, and surgical specialty. Multiple regression analysis using Tobit model was used for our data. The data from a total of 17 227 surgical cases were obtained in the 36-month study period. The authors performed multiple regression on 222 surgeons. Revenue had significantly positive association with mean efficiency score ( P = .000). Surgical volume had significantly negative association with mean efficiency score ( P = .000). The other coefficients were statistically insignificant. An increase in revenue by 1% was associated with 0.46% to 0.52% increases in efficiency score. We demonstrated that surgeons' revenue can serve as a proxy variable for their technical efficiency

Data envelopment analysis · Economics · Family medicine · Linear regression · Operations management · Proxy (statistics · Regression analysis · Revenue · Specialty · Statistics · Tobit model · Variables · Accounting · Efficiency Analysis Using DEA · Health Systems, Economic Evaluations, Quality of Life · Healthcare Policy and Management · Mathematics · Medicine

  • Health & Productivity Management Associated With Improved Efficiency of Inpatient Health Care

    Open Access•Hajime Watanabe, Satoshi Miyata et al.•INQUIRY The Journal of Health…•2024

  • Data Envelopment Analysis

    Open Access•William W Cooper, Lawrence M Seiford et al.•Data Envelopment Analysis•2007

  • Japanese universal health coverage

    Open Access•Naoki Ikegami, Byung-Kwang Yoo et al.•The Lancet•2011

  • The Measurement of Productive Efficiency

    M J FARRELL, Mariah Farrell•Journal of the Royal Statistical…•1957

Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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