Facing the Impact of the COVID-19 Pandemic: How Can We Allocate Outpatient Doctor Resources More Effectively? Article Swipe
Xiaojing Hu
,
Hongjun Fang
,
Ping Wang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/tropicalmed7080184
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/tropicalmed7080184
The COVID-19 pandemic caused significant damage to global healthcare systems. Previous studies regarding COVID-19’s impact on outpatient numbers focused only on a specific department, lacking research data for multiple departments in general hospitals. We assessed differences in COVID-19’s impact on outpatient numbers for different departments to help hospital managers allocate outpatient doctor resources more effectively during the pandemic. We compared the outpatient numbers of 24 departments in a general hospital in Beijing in 2019 and 2020. We also examined an indicator not mentioned in previous studies, monthly departmental patient reservation rates. The results show that, compared with 2019, 2020 outpatient numbers decreased overall by 33.36%. Ten departments’ outpatient numbers decreased >33.36%; however, outpatient numbers increased in two departments. In 2020, the overall patient reservation rate in 24 departments was 82.22% of the 2019 reservation rate; the rates in 14 departments were <82.22%. Moreover, patient reservation rates varied across different months. Our research shows that COVID-19’s impact on different departments also varied. Additionally, our research suggests that well-known departments will be less affected by COVID-19, as will departments related to tumor treatment, where there may also be an increase in patient numbers. Patient reservation rates are an indicator worthy of attention. We suggest that hospital managers classify departments according to changes in outpatient numbers and patient reservation rates and adopt accurate, dynamic, and humanized management strategies to allocate outpatient doctor resources.
Related Topics
Concepts
Reservation
Medicine
Pandemic
Outpatient visits
Coronavirus disease 2019 (COVID-19)
Outpatient clinic
Emergency medicine
Medical emergency
Beijing
Ambulatory care
Health care
Family medicine
Internal medicine
Geography
Law
Infectious disease (medical specialty)
Economics
Economic growth
Disease
Political science
Archaeology
China
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/tropicalmed7080184
- https://www.mdpi.com/2414-6366/7/8/184/pdf?version=1660563223
- OA Status
- gold
- Cited By
- 2
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4292183043
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4292183043Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/tropicalmed7080184Digital Object Identifier
- Title
-
Facing the Impact of the COVID-19 Pandemic: How Can We Allocate Outpatient Doctor Resources More Effectively?Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-15Full publication date if available
- Authors
-
Xiaojing Hu, Hongjun Fang, Ping WangList of authors in order
- Landing page
-
https://doi.org/10.3390/tropicalmed7080184Publisher landing page
- PDF URL
-
https://www.mdpi.com/2414-6366/7/8/184/pdf?version=1660563223Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2414-6366/7/8/184/pdf?version=1660563223Direct OA link when available
- Concepts
-
Reservation, Medicine, Pandemic, Outpatient visits, Coronavirus disease 2019 (COVID-19), Outpatient clinic, Emergency medicine, Medical emergency, Beijing, Ambulatory care, Health care, Family medicine, Internal medicine, Geography, Law, Infectious disease (medical specialty), Economics, Economic growth, Disease, Political science, Archaeology, ChinaTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
41Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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