This paper compares emergency medical rescue experience of West China Hospital of Sichuan University in the latest three earthquakes occurred in western Sichuan, and mainly introduces the experience in organization and coordination, rescue speed, treatment of the injured, and rescue characteristics in Jiuzhaigou earthquake, which can provide reference for future earthquake emergency medical rescue.
ObjectiveTo present the application of mini-health technology assessment (Mini-HTA) method in configuration management of anti-magnetic anesthesia machine.MethodsFrom February to March 2019, the specialist operation assistant used Mini-HTA method to analyze and evaluate the anti-magnetic anesthesia machine applied by the department from basic situation and four dimensions, including technical dimension, patient dimension, hospital dimension, and economic dimension.ResultsA hospital health technology assessment report was prepared based on the evaluation of the specialist operation assistant, the suggestion of which was adopted by the hospital. As a result, an anti-magnetic anesthesia machine was arranged in the MRI room.ConclusionMini-HTA method can provide decision support for hospital equipment configuration and is conducive to the scientific and rational allocation of resources in hospitals.
The deep integration of modern technology and medical development promotes the change of medical and health management environment. As an important part of hospital medical and health decision-making process, the evaluation and access of medical equipment and consumables need scientific evidence-based evaluation system. This paper introduces a new-equipment evaluation model created by the multi-disciplinary evaluation team of West China Hospital of Sichuan University under the guidance of evidence-based ideas and methods. This model is suitable for the Chinese national conditions and easy to operate.
ObjectiveTo find out the influencing factors of electrocardiogram (ECG) monitor configuration decision in surgical nursing units and form a scientific configuration standard, so as to provide a basis for the reasonable configuration of ECG monitors.MethodsFrom May to June 2018, the indexes and weights affecting the configuration of ECG monitors in surgical nursing units of a large public hospital were determined by interview survey method and analytic hierarchy process.ResultsThe influencing factors for configuration of ECG monitors in surgical nursing units were the number of operations, number of rescues, number of emergencies, number of deaths, and number of patients transferred to and out of intensive care unit, and the weights were 0.459 7, 0.224 9, 0.155 3, 0.111 2, and 0.049 0, respectively. The classification of nursing units was taken as plan, and the configuration standard of ECG monitors was established.ConclusionThe configuration model of ECG monitors in surgical nursing units based on analytic hierarchy process realizes the combination of qualitative and quantitative analysis, which provides scientific and reasonable reference for the configuration of ECG monitors.
Objective To explore the influencing factors of sleep quality of the elderly in Chengdu community and put forward corresponding nursing strategies. Methods The elderly in four communities in Chengdu were selected by convenient sampling method from January to June 2021. The elderly in the community were investigated and analyzed by general information questionnaire, Interpersonal Relationship Integrative Diagnostic Scale (IRIDS) and Pittsburgh Sleep Quality Index (PSQI). Multiple linear stepwise regression was used to analyze the factors affecting the sleep quality of the elderly. Results A total of 232 elderly were investigated and 211 were finally included. The total score of PSQI in the elderly was positively correlated with the score of interpersonal conversation disturbance (r=0.297, P<0.05) and the score of treating people disturbance (r=0.208, P<0.05). The results of multiple linear stepwise regression analysis showed that physical exercise, monthly amount of money, education and four dimensions of interpersonal troubles were the main influencing factors of sleep quality in the elderly. Conclusions The community elderly in this study had better sleep quality. Physical exercise, monthly amount of money, education and four dimensions of interpersonal troubles were all important factors affecting the sleep quality of the elderly. Community nursing staff should pay more attention to the sleep quality of the elderly, put forward measures to improve the related factors leading to sleep disorders, encourage the elderly to take physical exercise. They should also provide psychological counseling and interpersonal communication skills for the elderly with interpersonal troubles and help expand the communication platform to improve sleep quality of the elderly in the community.
Objective To accurately predict the outpatient and emergency visits of a district-level public hospital based on autoregressive integrated moving average (ARIMA) model, providing important basis for hospital budget planning and operational decisions. Methods The monthly outpatient and emergency visits of a public hospital in Shuangliu District, Chengdu City from January 2012 to November 2023 were collected, and R 4.3.1 software was used to establish an ARIMA model based on the data from January 2012 to December 2022. The outpatient and emergency visits from January to November 2023 were predicted and validated. Results Except for January and March 2023, every monthly number of predicted outpatient and emergency visits for 2023 matched the actual one relatively well. The average absolute percentage error for January to November 2023 was 8.504%. The actual total number of outpatient and emergency visits from January to November 2023 was 1441960, and the predicted value was 1417130 with a relative error of –1.722%. Conclusions ARIMA model can predict the outpatient and emergency visits of district-level hospitals relatively well. However, factors such as the high incidence of COVID-19 may affect the accuracy of short-term prediction.
ObjectiveTo investigate the incidence and trendency of healthcare-associated infections (HAIs) in a pediatric intensive care unit (ICU) of a hospital, identify the main objectives of infection control, and formulate corresponding preventive and control measures.MethodsA prospective targeted monitoring method was adopted to investigate HAIs in the pediatric ICU of a hospital from January 2013 to December 2018.ResultsFrom January 2013 to December 2018, the number of target ICU patients was 11 898, the number of patient-days was 55 159; 226 HAIs occurred, the HAI case rate was 1.90%, the incidence of HAI per 1 000 patient-days was 4.10‰, and the adjusted incidence of HAI per 1 000 patient-days was 1.21‰. The main infection site was respiratory tract [83 cases (36.7%)], with ventilator-associated pneumonia in 73 cases (32.3%); secondly, 69 patients (30.5%) had bloodstream infection, among which 48 (21.2%) had non-catheter-related bloodstream infection.ConclusionHospital targeted monitoring is helpful to grasp the situation and trend of HAIs, define the main target of infection control, and formulate corresponding preventive and control measures, which can effectively reduce the incidence of HAIs.
Coronavirus disease 2019 has been widespread in Hubei province since the beginning of 2020. Many medical teams went to aid Hubei from the whole country. The medical team of West China Hospital of Sichuan University arrived in Jianghan district of Wuhan on January 25, 2020. As one of the earliest teams arriving Hubei, we explored the measures for infection prevention and control of resident, in order to reduce the risk for infection of medical team. The infection prevention and control experiences on the establishment of infection control team, process management, behavior management, clean disinfection, infection monitoring and emergency response and emergency response to exposure of the medical team of West China Hospital were summarized in this article.
Objective To explore the relationship between depression and quality of life in schizophrenic patients, and the mediating role of sleep quality and weakness. Methods We selected inpatients with schizophrenia from 4 secondary and above psychiatric hospitals in Chengdu for questionnaire survey by convenient sampling method between March and July 2022. The questionnaires included general demographic data, disease-related questionnaire, Self-rating Depression Scale (SDS), Pittsburgh Sleep Quality Index (PSQI), Fried Frailty Phenotype (FFP) and Schizophrenia Quality of Life Scale (SQLS). Results A total of 594 patients were included, including 373 males (62.8%) and 221 females (37.2%). The univariate analysis of the factors affecting the quality of life of the patients showed that there was no significant difference in the age, sex, only child or not, education level, course of schizophrenia, and combined medication (P>0.05), except for the family history of mental disorders (P<0.05). SQLS score was positively correlated with SDS score (r=0.635, P<0.001), PSQI score (r=0.402, P<0.001) and FFP score (r=0.327, P<0.001). The mediation of sleep quality and weakness on depression and quality of life are significant, and chain-mediated effect of depression and quality of life was significant. Conclusion The depression level of schizophrenia patients can not only directly affect their quality of life, but also indirectly affect their quality of life through the mediation of sleep quality, weakness and chain mediation of sleep quality and weakness.
Objective To investigate the status and influencing factors of psychosis-related post-traumatic stress disorder (PR-PTSD) in hospitalized patients with schizophrenia. Methods A questionnaire survey was conducted among the hospitalized patients with schizophrenia in three grade Ⅱ or above psychiatric hospitals in Chengdu between March and July, 2022, using the convenient sampling method. Questionnaires included the General Information Questionnaire, Impact of Event Scale-revised (IES-R), Self-rating Depression Scales, Simplified Coping Style Questionnaire, and Intolerance of Uncertainty Scale. If the score showed skewed distribution, it was expressed by the median (lower quartile, upper quartile). According to IES-R score, the patients included were divided into 2 groups. The patients whose score ≥33 were divided into PR-PTSD group, and <33 were divided into non-PR-PTSD group. The general information of the two groups of patients were compared. The correlation between PR-PTSD and depression, coping style and intolerance of uncertainty of the included patients were analyzed. The factors affecting the PR-PTSD of hospitalized patients with schizophrenia were analyzed by multivariate binary logistic regression analysis. Results A total of 388 patients were included. Among them, there were 282 cases in the non-PR-PTSD group and 106 cases in the PR-PTSD group. The IES-R score was 23.00 (15.00, 33.00), the depression score was 45.00 (38.00, 53.00), the negative coping style score was 11.00 (8.00, 14.75), the positive coping style score was 20.00 (16.00, 25.00), and the intolerance of uncertainty score was 28.00 (22.25, 33.00). IES-R was positively correlated with depression (r=0.370, P<0.001), negative coping style (r=0.396, P<0.001), positive coping style (r=0.111, P=0.029) and intolerance of uncertainty (r=0.467, P<0.001). Regression analysis showed that depression [(odds ratio, OR)=1.073, 95% confidence interval (CI) (1.043, 1.105), P<0.001)], negative coping style [OR=1.121, 95%CI (1.040, 1.208), P=0.003], intolerance of uncertainty [OR=1.081, 95%CI (1.045, 1.118), P<0.001] were the influencing factors of PR-PTSD in hospitalized patients with schizophrenia. Conclusions The prevalence of PR-PTSD in hospitalized patients with schizophrenia is high. Depression, negative coping style and intolerance of uncertainty are the risk factors for PR-PTSD in hospitalized schizophrenia patients.