Medical implementation practice and its medical performance evaluation of a giant makeshift hospital during the COVID-19 pandemic: An innovative model response to a public health emergency in Shanghai, China
IntroductionIn confronting the sudden COVID-19 epidemic, China and other countries have been under great pressure to block virus transmission and reduce fatalities. Converting large-scale public venues into makeshift hospitals is a popular response. This addresses the outbreak and can maintain smoot...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1019073/full |
| _version_ | 1828070329502662656 |
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| author | Minjie Chen Yiling Fan Qingrong Xu Hua Huang Xinyi Zheng Dongdong Xiao Weilin Fang Jun Qin Junhua Zheng Enhong Dong Enhong Dong |
| author_facet | Minjie Chen Yiling Fan Qingrong Xu Hua Huang Xinyi Zheng Dongdong Xiao Weilin Fang Jun Qin Junhua Zheng Enhong Dong Enhong Dong |
| author_sort | Minjie Chen |
| collection | DOAJ |
| description | IntroductionIn confronting the sudden COVID-19 epidemic, China and other countries have been under great pressure to block virus transmission and reduce fatalities. Converting large-scale public venues into makeshift hospitals is a popular response. This addresses the outbreak and can maintain smooth operation of a country or region's healthcare system during a pandemic. However, large makeshift hospitals, such as the Shanghai New International Expo Center (SNIEC) makeshift hospital, which was one of the largest makeshift hospitals in the world, face two major problems: Effective and precise transfer of patients and heterogeneity of the medical care teams.MethodsTo solve these problems, this study presents the medical practices of the SNIEC makeshift hospital in Shanghai, China. The experiences include constructing two groups, developing a medical management protocol, implementing a multi-dimensional management mode to screen patients, transferring them effectively, and achieving homogeneous quality of medical care. To evaluate the medical practice performance of the SNIEC makeshift hospital, 41,941 infected patients were retrospectively reviewed from March 31 to May 23, 2022. Multivariate logistic regression method and a tree-augmented naive (TAN) Bayesian network mode were used.ResultsWe identified that the three most important variables were chronic disease, age, and type of cabin, with importance values of 0.63, 0.15, and 0.11, respectively. The constructed TAN Bayesian network model had good predictive values; the overall correct rates of the model-training dataset partition and test dataset partition were 99.19 and 99.05%, respectively, and the respective values for the area under the receiver operating characteristic curve were 0.939 and 0.957.ConclusionThe medical practice in the SNIEC makeshift hospital was implemented well, had good medical care performance, and could be copied worldwide as a practical intervention to fight the epidemic in China and other developing countries. |
| first_indexed | 2024-04-11T00:35:02Z |
| format | Article |
| id | doaj.art-8dae68b9d5814b0ab502a904ddd4f668 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-11T00:35:02Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-8dae68b9d5814b0ab502a904ddd4f6682023-01-06T19:54:10ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-01-011010.3389/fpubh.2022.10190731019073Medical implementation practice and its medical performance evaluation of a giant makeshift hospital during the COVID-19 pandemic: An innovative model response to a public health emergency in Shanghai, ChinaMinjie Chen0Yiling Fan1Qingrong Xu2Hua Huang3Xinyi Zheng4Dongdong Xiao5Weilin Fang6Jun Qin7Junhua Zheng8Enhong Dong9Enhong Dong10Department of Outpatient and Emergency Management, Renji Hospital, School of Medicine in Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Neurosurgery, Renji Hospital, School of Medicine in Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Orthopaedics, Renji Hospital, School of Medicine in Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Administration, Renji Hospital, School of Medicine in Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Pharmacy, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Urology, Renji Hospital, School of Medicine in Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Urology, Renji Hospital, School of Medicine in Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Gastroenterology, Renji Hospital, School of Medicine in Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Urology, Renji Hospital, School of Medicine in Shanghai Jiao Tong University, Shanghai, ChinaSchool of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, ChinaInstitute of Healthy Yangtze River Delta, Shanghai Jiao Tong University, Shanghai, ChinaIntroductionIn confronting the sudden COVID-19 epidemic, China and other countries have been under great pressure to block virus transmission and reduce fatalities. Converting large-scale public venues into makeshift hospitals is a popular response. This addresses the outbreak and can maintain smooth operation of a country or region's healthcare system during a pandemic. However, large makeshift hospitals, such as the Shanghai New International Expo Center (SNIEC) makeshift hospital, which was one of the largest makeshift hospitals in the world, face two major problems: Effective and precise transfer of patients and heterogeneity of the medical care teams.MethodsTo solve these problems, this study presents the medical practices of the SNIEC makeshift hospital in Shanghai, China. The experiences include constructing two groups, developing a medical management protocol, implementing a multi-dimensional management mode to screen patients, transferring them effectively, and achieving homogeneous quality of medical care. To evaluate the medical practice performance of the SNIEC makeshift hospital, 41,941 infected patients were retrospectively reviewed from March 31 to May 23, 2022. Multivariate logistic regression method and a tree-augmented naive (TAN) Bayesian network mode were used.ResultsWe identified that the three most important variables were chronic disease, age, and type of cabin, with importance values of 0.63, 0.15, and 0.11, respectively. The constructed TAN Bayesian network model had good predictive values; the overall correct rates of the model-training dataset partition and test dataset partition were 99.19 and 99.05%, respectively, and the respective values for the area under the receiver operating characteristic curve were 0.939 and 0.957.ConclusionThe medical practice in the SNIEC makeshift hospital was implemented well, had good medical care performance, and could be copied worldwide as a practical intervention to fight the epidemic in China and other developing countries.https://www.frontiersin.org/articles/10.3389/fpubh.2022.1019073/fullgiant makeshift hospitalperformanceTAN Bayesian networkCOVID-19 pandemicChina |
| spellingShingle | Minjie Chen Yiling Fan Qingrong Xu Hua Huang Xinyi Zheng Dongdong Xiao Weilin Fang Jun Qin Junhua Zheng Enhong Dong Enhong Dong Medical implementation practice and its medical performance evaluation of a giant makeshift hospital during the COVID-19 pandemic: An innovative model response to a public health emergency in Shanghai, China Frontiers in Public Health giant makeshift hospital performance TAN Bayesian network COVID-19 pandemic China |
| title | Medical implementation practice and its medical performance evaluation of a giant makeshift hospital during the COVID-19 pandemic: An innovative model response to a public health emergency in Shanghai, China |
| title_full | Medical implementation practice and its medical performance evaluation of a giant makeshift hospital during the COVID-19 pandemic: An innovative model response to a public health emergency in Shanghai, China |
| title_fullStr | Medical implementation practice and its medical performance evaluation of a giant makeshift hospital during the COVID-19 pandemic: An innovative model response to a public health emergency in Shanghai, China |
| title_full_unstemmed | Medical implementation practice and its medical performance evaluation of a giant makeshift hospital during the COVID-19 pandemic: An innovative model response to a public health emergency in Shanghai, China |
| title_short | Medical implementation practice and its medical performance evaluation of a giant makeshift hospital during the COVID-19 pandemic: An innovative model response to a public health emergency in Shanghai, China |
| title_sort | medical implementation practice and its medical performance evaluation of a giant makeshift hospital during the covid 19 pandemic an innovative model response to a public health emergency in shanghai china |
| topic | giant makeshift hospital performance TAN Bayesian network COVID-19 pandemic China |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1019073/full |
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