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Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai. INTELLIGENT MEDICINE 2023; 3:16-21. [PMID: 36091921 PMCID: PMC9444255 DOI: 10.1016/j.imed.2022.08.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/23/2022] [Accepted: 08/25/2022] [Indexed: 01/31/2023]
Abstract
Objective To describe the information technology and artificial intelligence support in management experiences of the pediatric designated hospital in the wave of COVID-19 in Shanghai. Methods We retrospectively concluded the management experiences at the largest pediatric designated hospital from March 1st to May 11th in 2022 in Shanghai. We summarized the application of Internet hospital, face recognition technology in outpatient department, critical illness warning system and remote consultation system in the ward and the structed electronic medical record in the inpatient system. We illustrated the role of the information system through the number and prognosis of patients treated. Results The COVID-19 designated hospitals were built particularly for critical patients requiring high-level medical care, responded quickly and scientifically to prevent and control the epidemic situation. From March 1st to May 11th, 2022, we received and treated 768 children confirmed by positive RT-PCR and treated at our center. In our management, we use Internet Information on the Internet Hospital, face recognition technology in outpatient department, critical illness warning system and remote consultation system in the ward, structed electronic medical record in the inpatient system. No deaths or nosocomial infections occurred. The number of offline outpatient visits dropped, from March to May 2022, 146,106, 48,379, 57,686 respectively. But the outpatient volume on the internet hospital increased significantly (3,347 in March 2022 vs. 372 in March 2021; 4,465 in April 2022 vs. 409 in April 2021; 4,677 in May 2022 vs. 538 in May 2021). Conclusions Information technology and artificial intelligence has provided significant supports in the management. The system might optimize the admission screening process, increases the communication inside and outside the ward, achieves early detection and diagnosis, timely isolates patients, and timely treatment of various types of children.
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Ponce-Blandón JA, Romero-Castillo R, Rodríguez-Leal L, González-Hervías R, Velarde-García JF, Álvarez-Embarba B. A Multicenter Study about the Population Treated in the Respiratory Triage Stations Deployed by the Red Cross during the COVID-19 Pandemic. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:313. [PMID: 36612635 PMCID: PMC9819537 DOI: 10.3390/ijerph20010313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/18/2022] [Accepted: 12/22/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Care demand exceeded the availability of human and material resources during the COVID-19 pandemic, which is the reason why triage was fundamental. The objective is to know the clinical and sociodemographic factors of confirmed or suspected COVID-19 cases in triage stations from different Ecuadorian provinces. METHOD A multicenter study with a retrospective and descriptive design. The patients included were those who accessed the Respiratory Triage stations deployed by the Ecuadorian Red Cross in eight Ecuadorian provinces during March and April 2021. Triage allows for selecting patients that need urgent treatment and favors efficacy of health resources. RESULTS The study population consisted of a total of 21,120 patients, of which 43.1% were men and 56.9% were women, with an age range between 0 and 98 years old. Severity of COVID-19 behaved differently according to gender, with mild symptoms predominating in women and severe or critical symptoms in men. Higher incidence of critical cases was observed in patients over 65 years old. It was observed that overweight predominated in critical, severe, and moderate cases, while the body mass index of patients with mild symptoms was within the normal range. CONCLUSIONS The Ecuadorian Red Cross units identified some suspected COVID-19 cases, facilitating their follow-up and isolation. Fever was the most significant early finding.
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Affiliation(s)
- José Antonio Ponce-Blandón
- Red Cross Nursing University Centre, University of Seville, 41009 Seville, Spain
- International Federation of the Red Cross, Ecuador Headquarters, Quito 170403, Ecuador
| | | | - Leyre Rodríguez-Leal
- Red Cross Nursing University College, Autonomous University of Madrid, 28003 Madrid, Spain
| | | | - Juan Francisco Velarde-García
- Red Cross Nursing University College, Autonomous University of Madrid, 28003 Madrid, Spain
- Research Group of Humanities and Qualitative Research in Health Science (Hum&QRinHS), Universidad Rey Juan Carlos, Avenida Atenas s/n, 28922 Alcorcon, Spain
- Nursing Research Support Unit, Hospital General Universitario Gregorio Maranon, Calle Dr. Esquerdo 46, 28007 Madrid, Spain
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Cao J, Wen M, Shi Y, Huang T, Yi Y, Su Y, Liu X, Chao Y, Lu H. How should designated COVID-19 hospitals in megacities implement a precise management strategy in response to Omicron? Biosci Trends 2022; 16:242-244. [PMID: 35732418 DOI: 10.5582/bst.2022.01261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
As a new variant of COVID-19 with varied mutations, Omicron is more transmissible, more rapidly contagious, and has a greater risk of reinfection. Given those facts, a precise manage strategy needs to be formulated and implemented in designated megacities. Here, the precise COVID-19 prevention and control strategy for a designated hospital in Shenzhen, China is summarized, including implementation of a two-wing "On duty/On standby" approach based on busy and calm periods, an identification, classification, and grading system for the occupational exposure risks of medical staff, classification of patient transmission risks, separate admission, and an innovative treatment (nasal irrigation). The strategy has enabled the efficient and orderly integration of resources, it has resulted in zero infections among medical staff even during the peak hours of the pandemic at the hospital (1,930 patients admitted to both wings in a single day), and it has significantly reduced the initial period of no virus detection when patients infected with Omicron received saline nasal irrigation (P < 0.001). This strategy has provided evidence of precise prevention and control in a hospital, infection control, and efficient patient treatment in an era when Omicron is widespread.
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Affiliation(s)
- Jing Cao
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Min Wen
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Yirong Shi
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Ting Huang
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Yunlan Yi
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Youfeng Su
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Xiaohui Liu
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Yanling Chao
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Hongzhou Lu
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
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Liu X, Cao J, Ji Y, Li T, Zhu Z, Huang T, Lu H. An innovative two-wing model for balancing the demands of inpatients with COVID-19 and general medical service in a designated hospital for COVID-19 in Shenzhen, China. Biosci Trends 2022; 16:163-166. [PMID: 35296579 DOI: 10.5582/bst.2022.01106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Since COVID-19 was first reported in 2019, the pandemic has posed a great threat to human health. Due to its multiple transmission pathways and virus mutation, this epidemic may be protracted further, and it has already placed a heavy burden on healthcare systems. A strategy needs to be devised to address both needs for COVID-19 treatment and demands for general medical service. A two-wing model of hospital operation, which provides a safe treatment environment for patients, an On duty/On Standby work approach for medical staff, and a reliable surveillance system for hospital operation, is an effective management template to help achieve a balance between multiple demands for medical service in this new era of a long-term war against COVID-19.
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Affiliation(s)
- Xiaoning Liu
- Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China.,National Heart & Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Jing Cao
- Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Yiling Ji
- Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Ting Li
- Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Zheng Zhu
- School of Nursing, Fudan University, Shanghai, China.,Fudan University Centre for Evidence-based Nursing, Shanghai, China
| | - Ting Huang
- Department of Healthcare-associated Infection Management, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Hongzhou Lu
- Department of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
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Hsu JY, Liu PY, Tseng CH, Liu CW, Yang WT, Huang WH, Li SY, Liao YC, Wu MJ. COVID-19 Screening for Hospitalized Patients: The Role of Expanded Hospital Surveillance in a Low Prevalence Setting. J Multidiscip Healthc 2021; 14:3027-3034. [PMID: 34737574 PMCID: PMC8558039 DOI: 10.2147/jmdh.s337258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/11/2021] [Indexed: 12/28/2022] Open
Abstract
Purpose The COVID-19 pandemic poses a serious threat to healthcare workers and hospitalized patients. Early detection of COVID-19 cases is essential to control the spread in healthcare facilities. However, real-world data on the screening criteria for hospitalized patients remain scarce. We aimed to explore whether patients with negative results of pre-hospital screening for COVID-19 should be rescreened after admission in a low-prevalence (less than 3% of the world average) setting. Patients and Methods We retrospectively included patients in central Taiwan who were negative at the first screening but were newly diagnosed with pneumonia or had a body temperature above 38 degrees Celsius during their hospitalization. Each patient might be included as an eligible case several times, and the proportions of cases who were rescreened for COVID-19 and those diagnosed with COVID-19 were calculated. A logistic regression model was constructed to identify factors associated with rescreening. Reverse transcription-polymerase chain reaction tests were used to confirm the diagnosis of COVID-19. Results A total of 3549 cases eligible for COVID-19 rescreening were included. There were 242 cases (6.8%) who received rescreening. In the multivariable analysis, cases aged 75 years or older, those with potential exposure to SARS-CoV-2, or patients visiting specific departments, such as the Cardiovascular Center and Department of Neurology, were more likely to be rescreened. None was diagnosed with COVID-19 after rescreening. There was no known cluster infection outbreak in the hospital or in the local community during the study period and in the following two months. Conclusion In Taiwan, a country with a low COVID-19 prevalence, it was deemed safe to rescreen only high-risk hospitalized patients. This strategy was effective and reduced unnecessary costs.
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Affiliation(s)
- Jen-Yu Hsu
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Po-Yu Liu
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Chien-Hao Tseng
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Chia-Wei Liu
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Wan-Ting Yang
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Wei-Hsuan Huang
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Shu-Yuan Li
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Ya-Chun Liao
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, 407, Taiwan
| | - Ming-Ju Wu
- Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407, Taiwan & College of Medicine, National Chung Hsing University, Taichung, 402, Taiwan
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Ding FM, Feng Y, Han L, Zhou Y, Ji Y, Hao HJ, Xue YS, Yin DN, Xu ZC, Luo S, Zhang PY, Zhang M. Early Fever Is Associated With Clinical Outcomes in Patients With Coronavirus Disease. Front Public Health 2021; 9:712190. [PMID: 34513787 PMCID: PMC8427156 DOI: 10.3389/fpubh.2021.712190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 08/02/2021] [Indexed: 12/23/2022] Open
Abstract
Fever is one of the typical symptoms of coronavirus disease (COVID-19). We aimed to investigate the association between early fever (EF) and clinical outcomes in COVID-19 patients. A total of 1,014 COVID-19 patients at the Leishenshan Hospital were enrolled and classified into the EF and non-EF groups based on whether they had fever within 5 days of symptom onset. Risk factors for clinical outcomes in patients with different levels of disease severity were analyzed using multivariable analyses. Time from symptom onset to symptom alleviation, CT image improvement, and discharge were longer for patients with moderate and severe disease in the EF group than in the non-EF group. Multivariable analysis showed that sex, EF, eosinophil number, C-reactive protein, and IL-6 levels were positively correlated with the time from symptom onset to hospital discharge in moderate cases. The EF patients showed no significant differences in the development of acute respiratory distress syndrome, compared with the non-EF patients. The Kaplan–Meier curve showed no obvious differences in survival between the EF and non-EF patients. However, EF patients with increased temperature showed markedly lower survival than the non-EF patients with increased temperature. EF had no significant impact on the survival of critically ill patients, while an increase in temperature was identified as an independent risk factor. EF appears to be a predictor of longer recovery time in moderate/severe COVID-19 infections. However, its value in predicting mortality needs to be considered for critically ill patients with EF showing increasing temperature.
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Affiliation(s)
- Feng-Ming Ding
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Feng
- Department of Gastroenterology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Han
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Zhou
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yong Ji
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui-Juan Hao
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi-Shu Xue
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dong-Ning Yin
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zeng-Chao Xu
- School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China
| | - Shan Luo
- School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China
| | - Peng-Yu Zhang
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Infectious Disease, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Zhang
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Pradhan SK, Sahu DP, Sahoo DP, Singh AK, Patro BK, Mohanty S. Experience from a COVID-19 screening centre of a tertiary care institution: A retrospective hospital-based study. J Family Med Prim Care 2021; 10:2933-2939. [PMID: 34660427 PMCID: PMC8483098 DOI: 10.4103/jfmpc.jfmpc_2339_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Revised: 02/16/2021] [Accepted: 03/17/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic continues to be a significant public health concern across the whole world, including India. In the absence of any specific treatment or vaccine against COVID-19, the role of efficient testing and reporting has been uncontested so far as the number of cases is rising daily. In order to strengthen the screening activities and to prevent nosocomial infection, facility-based screening centres have been designed and operated at various levels of healthcare, including tertiary care institutions. METHODS The present study has been planned with an objective to understand the patient profile and evaluate the functioning of COVID-19 screening OPD (CS-OPD) at a tertiary care hospital. In this hospital-based retrospective study, data from individuals visiting the COVID-19 screening OPD during the period from 17th March 2020 to 31st July 2020 were collected. We documented and analysed relevant demographic, epidemiological and clinical characteristics of the patients. RESULTS A total of 10,735 patients visited the COVID-19 screening OPD during the defined study period of which 3652 individuals were tested. The majority of the patients, i.e., 65.67% (7050) were male and in the 15-59 years age group (84.68%). The most common symptoms among patients visiting CS-OPD was cough (9.86%). Of the total, 17.17% (1843) of patients reported to the CS-OPD with a contact history of COVID-19-positive patient. On the other hand, 13.49% (1448) of patients were with either domestic or international travel history. The overall testing rate and positivity rate for CS-OPD during this period were found to be 34.02% and 7.94%, respectively. CONCLUSION The clinical, demographic and epidemiological characteristics of patients visiting CS-OPD varied across the study period depending upon the containment and testing strategy. The CS-OPD played a crucial role in preventing nosocomial infection and maintaining non-COVID care at the tertiary care hospital.
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Affiliation(s)
- Somen Kumar Pradhan
- Department of Community Medicine and Family Medicine, AIIMS, Bhubaneswar, Odisha, India
| | - Dinesh Prasad Sahu
- Department of Community Medicine and Family Medicine, AIIMS, Bhubaneswar, Odisha, India
| | - Durgesh Prasad Sahoo
- Assistant Professor, Department of Community Medicine and Family Medicine, AIIMS Bibinagar, Telangana, India
| | - Arvind Kumar Singh
- Department of Community Medicine and Family Medicine, AIIMS, Bhubaneswar, Odisha, India
| | - Binod Kumar Patro
- Department of Community Medicine and Family Medicine, AIIMS, Bhubaneswar, Odisha, India
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Tay YX, Kothan S, Kada S, Cai S, Lai CWK. Challenges and optimization strategies in medical imaging service delivery during COVID-19. World J Radiol 2021; 13:102-121. [PMID: 34141091 PMCID: PMC8188837 DOI: 10.4329/wjr.v13.i5.102] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 04/10/2021] [Accepted: 05/10/2021] [Indexed: 02/06/2023] Open
Abstract
In coronavirus disease 2019 (COVID-19), medical imaging plays an essential role in the diagnosis, management and disease progression surveillance. Chest radiography and computed tomography are commonly used imaging techniques globally during this pandemic. As the pandemic continues to unfold, many healthcare systems worldwide struggle to balance the heavy strain due to overwhelming demand for healthcare resources. Changes are required across the entire healthcare system and medical imaging departments are no exception. The COVID-19 pandemic had a devastating impact on medical imaging practices. It is now time to pay further attention to the profound challenges of COVID-19 on medical imaging services and develop effective strategies to get ahead of the crisis. Additionally, preparation for operations and survival in the post-pandemic future are necessary considerations. This review aims to comprehensively examine the challenges and optimization of delivering medical imaging services in relation to the current COVID-19 global pandemic, including the role of medical imaging during these challenging times and potential future directions post-COVID-19.
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Affiliation(s)
- Yi Xiang Tay
- Radiography Department, Singapore General Hospital, Singapore 169608, Singapore
| | - Suchart Kothan
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50000, Thailand
| | - Sundaran Kada
- Faculty of Health and Social Sciences, Western Norway University of Applied Sciences, Bergen Postbox 7030, 5020 Bergen, Norway
| | - Sihui Cai
- Radiography Department, Singapore General Hospital, Singapore 169608, Singapore
| | - Christopher Wai Keung Lai
- Department of Health and Social Sciences, Singapore Institute of Technology, Singapore 138683, Singapore
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Shi X, Cai YT, Cai X, Wen XL, Wang JY, Ma WC, Shen J, Wu JX, Liu HY, Sun J, He PQ, Lin Y, Zhao DY, Li PQ. Management and implementation strategies of pre-screening triage in children during coronavirus disease 2019 pandemic in Guangzhou, China. World J Clin Cases 2021; 9:2731-2738. [PMID: 33969056 PMCID: PMC8058678 DOI: 10.12998/wjcc.v9.i12.2731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 12/28/2020] [Accepted: 03/08/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Emerging infectious diseases are a constant threat to the public’s health and health care systems around the world. Coronavirus disease 2019 (COVID-2019), which was defined by the World Health Organization as pandemic, has rapidly emerged as a global health threat. Outbreak evolution and prevention of international implications require substantial flexibility of frontline health care facilities in their response.
AIM To explore the effect of the implementation and management strategy of pre-screening triage in children during COVID-19.
METHODS The standardized triage screening procedures included a standardized triage screening questionnaire, setup of pre-screening triage station, multi-point temperature monitoring, extensive screenings, and two-way protection. In order to ensure the implementation of the pre-screening triage, the prevention and control management strategies included training, emergency exercise, and staff protection. Statistical analysis was performed on the data from all the children hospitalized from January 20, 2020 to March 20, 2020 at solstice during the pandemic period. Data were obtained from questionnaires and electronic medical record systems.
RESULTS A total of 17561 children, including 2652 who met the criteria for screening, 192 suspected cases, and two confirmed cases without omission, were screened from January 20, 2020 to March 20, 2020 at solstice during the pandemic period. There was zero transmission of the infection to any medical staff.
CONCLUSION The effective strategies for pre-screening triage have an essential role in the prevention and control of hospital infection.
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Affiliation(s)
- Xuan Shi
- Department of Pediatric Emergency, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Yu-Tao Cai
- Outpatient Department of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Xian Cai
- Emergency General Ward, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Xiu-Lan Wen
- Department of Nursing, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Jing-Yan Wang
- Department of Pediatric Emergency, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Wen-Cheng Ma
- Department of Pediatric Emergency, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Jun Shen
- Department of Disease Control and Prevention, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Jin-Xia Wu
- Department of Pediatric Emergency, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Hai-Yan Liu
- Outpatient Department of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Jing Sun
- Emergency General Ward, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Pei-Qin He
- Department of Pediatric Emergency, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Yan Lin
- Department of Nursing, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Dan-Yang Zhao
- Department of Disease Control and Prevention, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
| | - Pei-Qing Li
- Department of Pediatric Emergency, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 510000, Guangdong Province, China
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Du Q, Zhang D, Hu W, Li X, Xia Q, Wen T, Jia H. Nosocomial infection of COVID‑19: A new challenge for healthcare professionals (Review). Int J Mol Med 2021; 47:31. [PMID: 33537803 PMCID: PMC7891837 DOI: 10.3892/ijmm.2021.4864] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 01/19/2021] [Indexed: 12/28/2022] Open
Abstract
Nosocomial infections, also known as hospital-acquired infections, pose a serious challenge to healthcare professionals globally during the Coronavirus disease 2019 (COVID‑19) pandemic. Nosocomial infection of COVID‑19 directly impacts the quality of life of patients, as well as results in extra expenditure to hospitals. It has been shown that COVID‑19 is more likely to transmit via close, unprotected contact with infected patients. Additionally, current preventative and containment measures tend to overlook asymptomatic individuals and superspreading events. Since the mode of transmission and real origin of COVID‑19 in hospitals has not been fully elucidated yet, minimizing nosocomial infection in hospitals remains a difficult but urgent task for healthcare professionals. Healthcare professionals globally should form an alliance against nosocomial COVID‑19 infections. The fight against COVID‑19 may provide valuable lessons for the future prevention and control of nosocomial infections. The present review will discuss some of the key strategies to prevent and control hospital‑based nosocomial COVID‑19 infections.
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Affiliation(s)
- Qiu Du
- Department of Immunology, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610072, P.R. China
| | - Dingding Zhang
- Department of Immunology, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610072, P.R. China
- Department of Medicine, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, P.R. China
- Department of Microbiology and Immunology, North Sichuan Medical College, Nanchong, Sichuan 637100, P.R. China
| | - Weimin Hu
- Department of Microbiology and Immunology, North Sichuan Medical College, Nanchong, Sichuan 637100, P.R. China
| | - Xuefei Li
- Department of Immunology, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610072, P.R. China
| | - Qiongrong Xia
- Department of Immunology, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610072, P.R. China
| | - Taishen Wen
- Department of Medicine, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, P.R. China
| | - Haiping Jia
- Department of Microbiology and Immunology, North Sichuan Medical College, Nanchong, Sichuan 637100, P.R. China
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