Management experience of a designated hospital for children with coronavirus disease 2019
ZHOU Jian-Guo1, FAN Qiao-Ling2, LU Chun-Mei1, XU Pu1, YAN Gang-Feng3, CHUNYU Ling-Feng4, LIU Ya-Zun5, CHEN Yi-Wei6, LU Yan-Ming7, ZHANG Ting8, YU Hui9, WANG Li-Bo10, XU Jiang-Jiang11, ZHOU Wen-Hao1
.Department of Neonatology, Children's Hospital of Fudan University, Shanghai 201102, China .Department of Infection Control, Shanghai Children's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200062, China
Abstract：The global pandemic of coronavirus disease 2019 (COVID-19) has brought great challenges to the traditional medical model. During the outbreak of COVID-19 in Shanghai, China, from March to May, 2022, there was a significant increase in the number of pediatric cases due to high transmissibility, immune escape, and vaccine breakthrough capacity of Omicron variants. The designated hospitals for children with COVID-19 served as a connecting link between children's specialized hospitals and mobile cabin hospitals. From April 7 to June 2, 2022, a total of 871 children with COVID-19 were admitted to Renji Hospital, Shanghai Jiao Tong University School of Medicine (South Branch), a designated hospital for children with COVID-19. Among these patients, 568 (65.2%) were children under 3 years old, 870 (99.9%) were mild or moderate, and 1 was severe. This article reports the experience in the management of pediatric cases in this designated hospital, which included the following aspects: establishing an optimal case-admission process; strengthening multidisciplinary standardized diagnosis and treatment; optimizing the management, warning, and rescue system for severe COVID-19; implementing family-centered nursing care; formulating an individualized traditional Chinese medicine treatment regimen; optimizing the discharge process and strengthening bed turnover; implementing strict whole-process control to reduce the risk of nosocomial infection; constructing a structured medical record system and using information platforms to adapt to the work mode of large-volume cases; conducting scientific research and sharing the experience in diagnosis and treatment.
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