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Productivity Change of Surgeons During the Coronavirus Disease 2019 Pandemic in Japan

Bibliographic Data

ID13774907
AuthorsYoshinori Nakata (0000-0003-2252-3358, Teikyo University Graduate School of Public Health, Tokyo, Japan, corresponding author), Yuichi Watanabe (0000-0001-8658-3769, Japan External Trade Organization Institute of Developing Economies, Area Studies Center, Tokyo, Japan), Akihiko Ozaki (0000-0003-4415-9657, Jyoban Hospital, Fukushima, Japan)
Year2022
Volume59
Pages469580221128737-469580221128737
Publication date2022-01-01
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)
DOI10.1177/00469580221128737
PMID36214328
OpenAlexW4304118480
LanguageEN
Citations received2
References cited11

The purpose of this study is to compute surgical total factor productivity before and during the pandemic with Malmquist index, and to evaluate the effect of coronavirus disease 2019 (COVID-19) on its productivity change. The COVID-19 pandemic has significantly shifted healthcare resources allocation; more healthcare resources have focused on measures against the COVID-19 pandemic. The authors collected data from all the surgical procedures performed in Teikyo University Hospital from April 1 through September 30 in 2019 and in 2020. Non-radial and non-oriented Malmquist model under the constant return-to-scale assumptions was employed. The decision-making unit was defined as a surgeon with the highest academic rank in surgery. Inputs were defined as (1) the number of medical doctors who assisted surgery and (2) the duration of surgical operation from skin incision to closure. The output was defined as the surgical fee for each surgery. The study period was divided into four 3-month periods. We added all the inputs and outputs of the surgical procedures for each decision-making unit during these study periods, and computed his/her Malmquist index, efficiency change, and technical change. Four thousand six hundred and two surgical procedures performed by 75 surgeons were analyzed. The productivity progressed significantly during 2019 ( P = .008) while the productivity changes in 2020 were not significantly different from 0. On year-on-year comparisons, the productivity change was not significantly different from 0. The COVID-19 pandemic had a negative impact on the productivity progress of surgery that was unrelated to its countermeasures

Closure (psychology · Coronavirus disease 2019 (COVID-19 · Disease · Economic growth · Economics · Health care · Index (typography · Infectious disease (medical specialty · Malmquist index · Operations management · Pandemic · Productivity · Total factor productivity · Unit (ring theory · Efficiency Analysis Using DEA · Health Systems, Economic Evaluations, Quality of Life · Healthcare Operations and Scheduling Optimization · Internal Medicine · Medicine · Psychology · Surgery

  • Surgical productivity recovery after the Covid-19 pandemic in Japan

    Open Access•Yoshinori Nakata, Yuichi Watanabe et al.•Frontiers in Public Health•2024

  • Public health events and economic growth in a neoclassical framework

    Open Access•Yunhao Wang, Yixuan Liu et al.•BMC Public Health•2024

  • Data Envelopment Analysis

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

Citations per year1
Citation span2024 - 2024 (1)
Highly citedNo

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Open DOIOpen Access
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