Resumption of the treatment of non‐COVID ‐19 gynecologic patients after lifting lockdown: Triage and infection prevention experiences from Wuhan
Article Swipe
Weihong Dong
,
Rui Gao
,
Jing Cai
,
Shouhua Yang
,
Jianfeng Guo
,
Jingxin Zhao
,
Zehua Wang
,
Liqiong Cai
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1111/jog.14917
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1111/jog.14917
Aim To share our experiences of resuming the treatments for gynecologic patients after lifting the lockdown in a hotspot area for the Coronavirus Disease 2019 (COVID‐19) pandemic. Methods The triage process used to resume medical activities for gynecologic patients at the Wuhan Union Hospital after a 76‐day lockdown of the city is described, and its effectiveness in preventing COVID‐19 nosocomial transmission is shown. Results Nonemergency patients were pretriaged based on their contact history and body temperature at an outpatient clinic, and negative COVID‐19 screening test results were required for admission to the buffering rooms at the gynecologic department. The buffering lasted at least 3 days for symptom monitoring, and a second round of COVID‐19 testing was required before patients could be transferred to the regular gynecologic wards. For patients who needed emergency surgery, the first screening was completed at the isolation wards after surgery, followed by buffering at the gynecologic department. We received 19 298 outpatient visits, admitted 326 patients, and performed 223 operations in the first 2 months after the lockdown was lifted. No COVID‐19 cases occurred in the hospitalized patients, while the proportion of potentially high‐risk patients with cancer and severe anemia was increased in comparison to that observed during the same period in 2019 and the first 2 months of 2020 before the lockdown. Conclusions We provide an effective triage system with buffering at two levels to guarantee safe and timely treatment for non‐COVID‐19 gynecologic patients in the postlockdown phase.
Related Topics
Concepts
Medicine
Triage
Coronavirus disease 2019 (COVID-19)
Pandemic
Emergency medicine
Gynecologic oncology
Emergency department
Outpatient clinic
Medical emergency
Disease
Internal medicine
Infectious disease (medical specialty)
Nursing
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/jog.14917
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jog.14917
- OA Status
- hybrid
- Cited By
- 2
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3186339071
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3186339071Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/jog.14917Digital Object Identifier
- Title
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Resumption of the treatment of non‐
COVID ‐19 gynecologic patients after lifting lockdown: Triage and infection prevention experiences from WuhanWork title - Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-07-28Full publication date if available
- Authors
-
Weihong Dong, Rui Gao, Jing Cai, Shouhua Yang, Jianfeng Guo, Jingxin Zhao, Zehua Wang, Liqiong CaiList of authors in order
- Landing page
-
https://doi.org/10.1111/jog.14917Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jog.14917Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jog.14917Direct OA link when available
- Concepts
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Medicine, Triage, Coronavirus disease 2019 (COVID-19), Pandemic, Emergency medicine, Gynecologic oncology, Emergency department, Outpatient clinic, Medical emergency, Disease, Internal medicine, Infectious disease (medical specialty), NursingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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14Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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