Coronavirus disease 2019 (COVID-19) is highly contagious, and the route of transmission is dominated by respiratory droplets and contact transmission. At present, the disease prevention and control are difficult. In order to prevent and control COVID-19 and prevent its spread in the hospital, West China Hospital of Sichuan University has set up isolation wards in the center of infectious diseases. The work norms for isolation ward were formulated. This may help to strengthen the prevention and treatment of COVID-19, effectively control the epidemic situation, as well as protect the health and safety of the public and medical staff. This article introduces the specific settings, diagnosis and treatment specifications, and hospital infection prevention and control strategies of the isolation ward of West China Hospital of Sichuan University, shares the work experience of isolation wards, aims to provide a reference for other hospitals to effectively prevent the spread of COVID-19 in hospitals and curb the spread of COVID-19.
Objective To explore the key contents of nosocomial infection prevention and control training for medical staff in secondary and above hospitals, so as to provide scientific basis for training in the future. Methods The medical workers who participated in the training of nosocomial infection prevention and control in secondary and above hospitals of 6 prefecture-level cities in Jiangxi province in December 2020 were selected. The same questionnaire was used to test the participants before and after training, and the changes of scores before and after training were compared. Results A total of 73 medical workers were included. After training, the total scores of the questionnaire (14.13±1.95 vs. 11.27±2.76; t=11.053, P<0.001), scores of manual hygiene specifications knowledge unit (4.63±0.65 vs. 4.02±1.37; t=4.215, P<0.001), scores of hospital isolation technical specifications knowledge unit (4.28±1.05 vs. 3.47±1.29; t=4.895, P<0.001), scores of airborne disease hospital infection prevention and control norms knowledge unit (5.21±0.96 vs. 3.76±1.04; t=10.419, P<0.001) and the overall accuracy of the questionnaire (83.00% vs. 66.32%) were higher than those before training. Conclusions After the training, the accuracies of different topics are improved, but there is still room for improvement in each knowledge unit. More effective training strategies should be considered.
【摘要】 目的 分析評估四年制醫技專業醫院感染控制與職業防護考試試卷的質量。 方法 應用相關試卷分析軟件，對64名醫技專業學生——醫院感染控制與職業防護期末考試試卷進行統計分析。 結果 64名學生中，最高分為86.00，最低分為49.50，平均分為67.70，及格率為82.80%；全部學生考試成績為49.50～86.00（67.69±8.74）分，基本在正常范圍；全套試卷全客觀題難度為0.69，區分度為0.15；非全客觀題難度為0.68，區分度為0.22，信度為0.72。學生考試失分情況為：單項選擇題19.90%、是非判析題22.90%、名詞解釋29.70%、簡答題50.00%。 結論 此套試卷質量符合教學大綱要求；客觀題比例較大，難度較高；區分度尚可，信度可靠。客觀地評價了學生對此課程的掌握程度，但學生分析歸納能力需要加強。【Abstract】 Objective To examine and evaluate the final test paper of nosocomial infection control and prevention of occupational exposure for four-year medical technology undergraduate students. Methods We used paper analysis software to perform statistical analysis for the results of the final test paper of nosocomial infection control and prevention of occupational exposure for 64 students of medical technology. Results Of the 64 students, the highest score was 86.00, the lowest score was 49.50, and the average score was 67.70 with a passing rate of 82.80%. The test scores were between 49.50 to 86.00 (67.69±8.74), presenting a normal distribution. The difficulty degree of items with all objective questions was 0.69 with a discrimination of 0.15; and the difficulty degree of other items was 0.68 with a discrimination of 0.22 and a reliability of 0.72. The rates of point loss in the examination were 19.90% for single choice questions, 22.90% for true or false analysis, 29.70% for glossary, and 50.00% for questions demanding for brief answers. Conclusion Overall, this set of papers is consistent with national teaching guideline with a large proportion of relatively difficult objective questions. The discrimination and reliability are acceptable in evaluating students’ ability objectively. However, students’ capacity of analyzing and summarizing still needs to be strengthened in the future.
ObjectiveTo compare the therapeutic effects of invasive-high-flow oxygen therapy (HFNC) and invasive-non-invasive ventilation (NIV) sequential strategies on severe respiratory failure caused by chronic obstructive pulmonary disease (COPD), and explore the feasibility of HFNC after extubation from invasive ventilation for COPD patients with severe respiratory failure.MethodsFrom October 2017 to October 2019, COPD patients with type Ⅱ respiratory failure who received invasive ventilation were randomly assigned to a HFNC group and a NIV group at 1: 1 in intensive care unit (ICU), when pulmonary infection control window appeared after treatments. The patients in the HFNC group received HFNC, while the patients in the NIV group received NIV after extubation. The primary endpoint was treatment failure rate. The secondary endpoints were blood gas analysis and vital signs at 1 hour, 24 hours, and 48 hours after extubation, total respiratory support time after extubation, daily airway care interventions, comfort scores, and incidence of nasal and facial skin lesions, ICU length of stay, total length of stay and 28-day mortality after extubation.ResultsOne hundred and twelve patients were randomly assigned to the HFNC group and the NIV group. After secondary exclusion, 53 patients and 52 patients in the HFNC group and the NIV group were included in the analysis respectively. The treatment failure rate in the HFNC group was 22.6%, which was lower than the 28.8% in the NIV group. The risk difference of the failure rate between the two groups was –6.2% (95%CI –22.47 - 10.43, P=0.509), which was significantly lower than the non-inferior effect of 9%. Analysis of the causes of treatment failure showed that treatment intolerance in the HFNC group was significantly lower than that in the NIV group, with a risk difference of –38.4% (95%CI –62.5 - –3.6, P=0.043). One hour after extubation, the respiratory rate of both groups increased higher than the baseline level before extubation (P<0.05). 24 hours after extubation, the respiratory rate in the HFNC group decreased to the baseline level, but the respiratory rate in the NIV group was still higher than the baseline level, and the respiratory rate in the HFNC group was lower than that in the NIV group [(19.1±3.8) vs. (21.7±4.5) times per minute, P<0.05]. 48 hours after extubation, the respiratory rates in the two groups were not significantly different from their baseline levels. The average daily airway care intervention in the NIV group was 9 (5 - 12) times, which was significantly higher than the 5 (4 - 7) times in the HFNC group (P=0.006). The comfort score of the HFNC group was significantly higher than that of the NIV group (8.6±3.2 vs. 5.7±2.8, P= 0.022), while the incidence of nasal and facial skin lesions in the HFNC group was significantly lower than that in the NIV group (0 vs. 9.6%, P=0.027). There was no significant difference in dyspnea score, length of stay and 28-day mortality between the two groups.ConclusionsThe efficacy of invasive-HFNC sequential treatment on COPD with severe respiratory failure is not inferior to that of invasive-NIV sequential strategy. The two groups have similar treatment failure rates, and HFNC has better comfort and treatment tolerance.
Objective To explore an AI-based method for automated hand hygiene monitoring and to compare the effectiveness of three algorithms (UniFormerV2, TDN, C3D) in recognizing hand hygiene steps in surgical settings, thereby aiding hospital infection control. Methods From April to October 2024, we non-invasively collected 641 video recordings of healthcare staff performing hand hygiene at four-bay scrub sinks in two tertiary hospitals using overhead HD cameras. The dataset was annotated by five trained experts for model training and validation. Results Following training on 385 samples, internal validation (n=119) showed the C3D model achieved 81% accuracy, 87% recall, and an 83% F1-score. The TDN model achieved 93%, 91%, and 92% for the same metrics. The UniFormerV2 model outperformed both, with an accuracy, recall, and F1-score of 93%—an improvement of over 10 percentage points compared to traditional CNNs (TDN, C3D). It also achieved an 84% accuracy in external validation, demonstrating strong generalization. Conclusion The UniFormerV2 model is more accurate than CNN-based models for hand hygiene step recognition and shows robust performance in external validation. It presents a viable tool for healthcare facilities to enhance hand hygiene management, ultimately improving medical quality and patient safety.
China is facing the serious situation of 2019-novel coronavirus (2019-nCoV) infection. The health care institutions have actively participated in the prevention, diagnosis, and treatment of the disease. Proper regulation of in-hospital policy may help control virus spreading. We developed seven key clinical questions about the prevention and control of 2019-novel coronavirus infection in hospital, and provided recommendations based on the best available evidence and expert experience. We interpreted the recommendations for better feasibility in Chinese hospital. The current recommendations provide evidence and reference for the domestic medical institutions to reasonably adjust the hospital workflow during 2019-nCoV infection period..
