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1.
Chinese Journal of Nosocomiology ; 32(21):3201-3208, 2022.
Article in Chinese | GIM | ID: covidwho-2260043

ABSTRACT

OBJECTIVE: To further standardize and guide the infection prevention and control(IPC) in designated hospitals so as to effectively ensure the stability, order and safety of medical treatment, ensure the safety of health care workers and patients, and reduce cross infections caused by the transmission of COVID-19. METHODS: The experts who repeatedly participated in the national COVID-19 medical treatment and IPC were invited to compile the consensus based on latest national norms, characteristics of the omicron and situation of epidemic prevention and control. RESULTS: The consensus consisted of two major parts: comprehensive coverage and control of infections in designated hospitals, with 47 recommendations involved. CONCLUSION: The expert consensus will provide guidance for the upcoming prevention and control of infection in designated hospitals.

2.
Chin Med J (Engl) ; 135(9): 1064-1075, 2022 May 05.
Article in English | MEDLINE | ID: covidwho-1922352

ABSTRACT

BACKGROUND: It is crucial to improve the quality of care provided to ICU patient, therefore a national survey of the medical quality of intensive care units (ICUs) was conducted to analyze adherence to quality metrics and outcomes among critically ill patients in China from 2015 to 2019. METHODS: This was an ICU-level study based on a 15-indicator online survey conducted in China. Considering that ICU care quality may vary between secondary and tertiary hospitals, direct standardization was adopted to compare the rates of ICU quality indicators among provinces/regions. Multivariate analysis was performed to identify potential factors for in-hospital mortality and factors related to ventilator-associated pneumonia (VAP), catheter-related bloodstream infections (CRBSIs), and catheter-associated urinary tract infections (CAUTIs). RESULTS: From the survey, the proportions of structural indicators were 1.83% for the number of ICU inpatients relative to the total number of inpatients, 1.44% for ICU bed occupancy relative to the total inpatient bed occupancy, and 51.08% for inpatients with Acute Physiology and Chronic Health Evaluation II scores ≥15. The proportions of procedural indicators were 74.37% and 76.60% for 3-hour and 6-hour surviving sepsis campaign bundle compliance, respectively, 62.93% for microbiology detection, 58.24% for deep vein thrombosis prophylaxis, 1.49% for unplanned endotracheal extubations, 1.99% for extubated inpatients reintubated within 48 hours, 6.38% for unplanned transfer to the ICU, and 1.20% for 48-hour ICU readmission. The proportions of outcome indicators were 1.28‰ for VAP, 3.06‰ for CRBSI, 3.65‰ for CAUTI, and 10.19% for in-hospital mortality. Although the indicators varied greatly across provinces and regions, the treatment level of ICUs in China has been stable and improved based on various quality control indicators in the past 5 years. The overall mortality rate has dropped from 10.19% to approximately 8%. CONCLUSIONS: The quality indicators of medical care in China's ICUs are heterogeneous, which is reflected in geographic disparities and grades of hospitals. This study is of great significance for improving the homogeneity of ICUs in China.


Subject(s)
Critical Illness , Pneumonia, Ventilator-Associated , Benchmarking , Critical Care , Humans , Intensive Care Units , Quality Control
3.
Ann Transl Med ; 10(10): 545, 2022 May.
Article in English | MEDLINE | ID: covidwho-1887397

ABSTRACT

Background: The coronavirus disease 2019 (COVID-19) has forced accelerated optimization of Emergency Department (ED) process, and simulation tools offer an alternative approach to strategic assessment and selection. Methods: Field research and case analysis methods were used to obtain the treatment process and medical records information from the ED of a general hospital. Minitab was used for analysis of the measurement system, and Arena was applied for simulation modelling. We established a framework for the triage protocol of ordinary and quarantined patients, analysed bottlenecks in the treatment time of the hospital's ED, and proposed an optimised management strategy. Results: The computed tomography (CT) pre-scheduling strategy simulation results demonstrated that longer CT room preparation times for quarantined people before their arrival (Tp) resulted in reduced CT scan and waiting times for quarantined patients, but these times were longer for ordinary patients. The nucleic acid priority strategy simulation results demonstrated that when the average daily number of ordinary patients (λc) was relatively stable, the hospital could guide ordinary patients to perform nucleic acid testing first followed by CT testing. However, when λc fluctuated greatly, the hospital could appropriately reduce the proportion of preferential nucleic acid testing. Furthermore, when λc was overloaded, the nucleic acid priority strategy showed no advantages. The joint analysis results demonstrated that the optimal strategy selection was significantly affected by the severity of the epidemic. The nucleic acid detection sample size optimisation strategy demonstrated that optimizing the sample size of each batch according to the number of patients could effectively reduce the waiting times for nucleic acid testing (Tn). Conclusions: Simulation tools are an alternative method for strategic evaluation and selection that do not require external factors.

4.
Front Med (Lausanne) ; 8: 659793, 2021.
Article in English | MEDLINE | ID: covidwho-1497084

ABSTRACT

Background: Extracorporeal membrane oxygenation (ECMO) might benefit critically ill COVID-19 patients. But the considerations besides indications guiding ECMO initiation under extreme pressure during the COVID-19 epidemic was not clear. We aimed to analyze the clinical characteristics and in-hospital mortality of severe critically ill COVID-19 patients supported with ECMO and without ECMO, exploring potential parameters for guiding the initiation during the COVID-19 epidemic. Methods: Observational cohort study of all the critically ill patients indicated for ECMO support from January 1 to May 1, 2020, in all 62 authorized hospitals in Wuhan, China. Results: Among the 168 patients enrolled, 74 patients actually received ECMO support and 94 not were analyzed. The in-hospital mortality of the ECMO supported patients was significantly lower than non-ECMO ones (71.6 vs. 85.1%, P = 0.033), but the role of ECMO was affected by patients' age (Logistic regression OR 0.62, P = 0.24). As for the ECMO patients, the median age was 58 (47-66) years old and 62.2% (46/74) were male. The 28-day, 60-day, and 90-day mortality of these ECMO supported patients were 32.4, 68.9, and 74.3% respectively. Patients survived to discharge were younger (49 vs. 62 years, P = 0.042), demonstrated higher lymphocyte count (886 vs. 638 cells/uL, P = 0.022), and better CO2 removal (PaCO2 immediately after ECMO initiation 39.7 vs. 46.9 mmHg, P = 0.041). Age was an independent risk factor for in-hospital mortality of the ECMO supported patients, and a cutoff age of 51 years enabled prediction of in-hospital mortality with a sensitivity of 84.3% and specificity of 55%. The surviving ECMO supported patients had longer ICU and hospital stays (26 vs. 18 days, P = 0.018; 49 vs. 29 days, P = 0.001 respectively), and ECMO procedure was widely carried out after the supplement of medical resources after February 15 (67.6%, 50/74). Conclusions: ECMO might be a benefit for severe critically ill COVID-19 patients at the early stage of epidemic, although the in-hospital mortality was still high. To initiate ECMO therapy under tremendous pressure, patients' age, lymphocyte count, and adequacy of medical resources should be fully considered.

5.
Ann Transl Med ; 8(12): 749, 2020 Jun.
Article in English | MEDLINE | ID: covidwho-639128

ABSTRACT

BACKGROUND: Since the outbreak of COVID-19 in January, 2020, the fever of unknown origin (FUO) emergency department has become the first station for disease prevention and identification in hospitals. Establishing a standardized FUO emergency department within a short period of time has become the key to preventing and controlling COVID-19 in densely populated Chinese cities. METHODS: Based on the lean management model, the research group established a process of less-link visits, which sees reduced contact between patients and physicians during diagnosis and treatment, and zero-contact consultation through lean workflow and value stream analysis. Three steps were implemented to improve the operations of the FUO emergency department: the rapid establishment of an isolation zone, the refinement of duty and protection configuration, and the use of Internet and technology to establish a full-process follow-up consultation system. RESULTS: (I) Tests related to COVID-19 screening are all completed in the FUO emergency department; (II) 12 new isolated observation rooms have been built; (III) hospital visiting time, waiting time for consultation, and the time from pre-examination to virus screening has been shortened from 18 to 8 hours, from 2 hours to 10 minutes, and from 34 to 3 hours, respectively; (IV) the transfer distance has been shortened from 450 to 20 m, and the observation time has been shortened from 72 to 26 hours. The median waiting time for image examination has been reduced from 40 to 3 minutes, and the moving distance has been shortened from 800 to 10 m; (V) the diagnosis and treatment process is facilitated by 5G, achieving zero contact between doctors and patients. CONCLUSIONS: Through the implantation of information technology, the local transformation of the site, the rational allocation of medical teams and the planned distribution of protective equipment, in a short period of time, individual medical institutions can set up a safe FUO emergency department to provide 24-hour screening and detention services. Establishing an FUO emergency department with lean management and realizing the management approach of combining daily operation with prevention and control could help China and other countries to handle the outbreak of fulminant infectious diseases.

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