Objective To construct an information hospital service system and discuss the application effect of information construction in the hospital service center. Methods Patients admitted to West China Hospital of Sichuan University between June 2022 and January 2023 were selected. We innovatively practiced intelligent safety gate, self-appointment admission registration, pre-hospital examination and advance migration, pre-hospital health education, an age-appropriate transformation of information service, and other information service measures to investigate the medical experience of patients, and compared patients’ satisfaction with medical treatment under four admission management methods (Huayitong APP, WeChat, self-service machine, and manual management). Results A total of 1452 patients were surveyed. The overall satisfaction score for medical treatment of patients was (4.98±0.04) points. Among them, Huayitong APP was (4.99±0.03) points, WeChat was (4.98±0.13) points, self-service machine was (4.97±0.05) points, and manual treatment was (4.92±0.11) points. There was a statistically significant difference between groups in overall satisfaction with different admission procedures (F=68.582, P<0.001). Since the information construction of the hospital admission service center was carried out, the average time of admission was (12.4±2.3) minutes, and 89.4% (1 298/1 452) of patients thought the time of admission was ideal. Conclusions The information construction of a hospital admission service center can effectively improve patients’ medical experience and enhance patient satisfaction. In the future, it is necessary to explore the influencing factors of patients’ satisfaction with information construction, and constantly improve and upgrade the information construction of hospital admission service centers.
ObjectiveTo analyze the influencing factors of acute exacerbation readmission in elderly patients with chronic obstructive pulmonary disease (COPD) within 30 days, construct and validate the risk prediction model.MethodsA total of 1120 elderly patients with COPD in the respiratory department of 13 general hospitals in Ningxia from April 2019 to August 2020 were selected by convenience sampling method and followed up until 30 days after discharge. According to the time of filling in the questionnaire, 784 patients who entered the study first served as the modeling group, and 336 patients who entered the study later served as the validation group to verify the prediction effect of the model.ResultsEducation level, smoking status, number of acute exacerbations of COPD hospitalizations in the past 1 year, regular use of medication, rehabilitation and exercise, nutritional status and seasonal factors were the influencing factors of patients’ readmission to hospital. The risk prediction model was constructed: Z=–8.225–0.310×assignment of education level+0.564×assignment of smoking status+0.873×assignment of number of acute exacerbations of COPD hospitalizations in the past 1 year+0.779×assignment of regular use of medication+0.617×assignment of rehabilitation and exercise +0.970×assignment of nutritional status+assignment of seasonal factors [1.170×spring (0, 1)+0.793×autumn (0, 1)+1.488×winter (0, 1)]. The area under ROC curve was 0.746, the sensitivity was 75.90%, and the specificity was 64.30%. Hosmer-Lemeshow test showed that P=0.278. Results of model validation showed that the sensitivity, the specificity and the accuracy were 69.44%, 85.71% and 81.56%, respectively.ConclusionsEducation level, smoking status, number of acute exacerbations of COPD hospitalizations in the past 1 year, regular use of medication, rehabilitation and exercise, nutritional status and seasonal factors are the influencing factors of patients’ readmission to hospital. The risk prediction model is constructed based on these factor. This model has good prediction effect, can provide reference for the medical staff to take preventive treatment and nursing measures for high-risk patients.
Objective To investigate the transferring methods of earthquake casualties accepted by the Department of Emergency, discuss the requirement for rescue materials in pre-hospital transference and provide information for transferring casualties after disasters in future. Methods Traumatic types and conditions of the wounded admitted by the Department of Emergency of West China Hospital within 3 weeks after Wenchuan earthquake,were collected. The characteristics of the wounded transferred by ambulances and helicopters were analyzed. Results Of the 2 338 wounded, ambulances transferred the most accounting for 60.56%, helicopter transferred 13.47%, and the other transport modes took up 25.96%. As for the macrotraumas, ambulances transferred more than helicopter and other transport mode did (Plt;0.05), while there was no statistical significance between helicopters and other transport modes(Pgt;0.05). Conclusion After the disaster, a field first-aid command system should be immediately established, casualties should be triaged concisely, an appropriate transference mode should be decided according to the degree of injuries and sufficient rescue materials should be provided based on different transference modes.
Objective To analyze the influencing factors of unplanned readmission for day surgery patients under the centralized management mode, and to provide a scientific basis for improving the medical quality and safety of day surgery. Methods The data of patients in the day surgery ward of the Second Affiliated Hospital Zhejiang University School of Medicine between October 2017 and October 2021 were retrospectively collected, and they were divided into an unplanned readmission group and a control group according to whether they were unplanned readmission within 31 days. Multivariate logistic regression model was used to analyze the influencing factors of patients’ unplanned readmission within 31 days. Results There were 30 636 patients, of which 46 were unplanned readmission patients, accounting for 0.15%. Logistic regression analysis showed that male [odds ratio (OR)=0.425, 95% confidence interval (CI) (0.233, 0.776), P=0.005], thyroid surgery [OR=19.938, 95%CI (7.829, 50.775), P<0.001], thoracoscopic partial lobectomy [OR=13.481, 95%CI (5.835, 31.148), P<0.001], laparoscopic cholecystectomy [OR=10.593, 95%CI (3.918, 28.641), P<0.001] and hemorrhoidectomy [OR=13.301, 95%CI (4.473, 39.550), P<0.001] were risk factors for unplanned readmission in patients undergoing day surgery. Conclusion Medical staff in day surgery wards need to strengthen supervision of male patients and high risk surgical patients, and improve patients’ awareness of recovery, so as to reduce the rate of unplanned readmission.
ObjectivesTo investigate risk factors for unplanned readmission in ischemic stroke patients within 31 days by using random forest algorithm.MethodsThe record of readmission patients with ischemic stroke within 31 days from 24 hospitals in Beijing between between 2015 and 2016 were collected. Patients were divided into two groups according to the occurrence of readmission within 31 days or not. Chi-squared or Mann-Whitney U test was used to select variables into the random forest algorithm. The precision coefficient and the Gini coefficient were used to comprehensively assess the importance of all variables, and select the more important variables and use the margind effect to assess relative risk of different levels.ResultsA total of 3 473 patients were included, among them 960 (27.64%) were readmitted within 31 days after stroke hospitalization. Based on the result of random forest, the most important variables affecting the risk of unplanned readmission within 31 days included the length of hospital stay, age, medical expense payment, rank of hospital, and occupation. When hospitalization was within 1 month, 10-day-hospitalization-stay patients had the lowest risk of rehospitalization; the younger the patients was, the higher the risk of readmission was. For ranks of hospital, patients from tertiary hospital had higher risk than secondary hospital. Furthermore, patients whose medical expenses were paid by free medical service and whose occupations were managers or staffs had higher risk of readmission within 31 days.ConclusionsThe unplanned readmission risk within 31 days of discharged ischemic stroke patients was connected not only with disease, but also with personal social and economic factors. Thus, more attention should be paid to both the medical process and the personal and family factors of stroke patients.
ObjectiveTo explore the distribution of multidrug resistant organism in neonates admitted to the hospital through various ways, and analyze the risk factors in order to avoid cross infection of multidrug resistant organism in neonatology department. MethodsA total of 2 124 neonates were monitored from January 2012 to July 2013, among which 1 119 were admitted from outpatient department (outpatient group), 782 were transferred from other departments (other department group), and 223 were from other hospitals (other hospital group). We analyzed their hospital stays, weight, average length of stay, and drug-resistant strains, and their relationship with nosocomial infection. ResultsAmong the 105 drug-resistant strains, there were 57 from the outpatient group, 27 from the other department group, and 21 from the other hospital group. The positive rate in the patients transferred from other hospitals was the highest (9.42%). Neonates with the hospital stay of more than 14 days and weighing 1 500 g or less were the high-risk groups of drug-resistant strains in nosocomial infection. Drug-resistant strains of nosocomial infection detected in the patients admitted through different ways were basically identical. ConclusionWe should strengthen screening, isolation, prevention and control work in the outpatient neonate. At the same time, we can't ignore the prevention and control of the infection in neonates from other departments or hospitals, especially the prevention and control work in neonates with the hospital stay of more than 14 days and weighing 1 500 g or less to reduce the occurrence of multiple drug-resistant strains cross infection.
Objective To determine the trend in the causes of admission among diabetic patients in West China Hospital from 1996 to 2005. Methods The medical records of diabetic inpatients from January 1996 to December 2005 were retrieved, and half of them were randomly selected. A questionnaire was completed and SPSS13.0 software was used for statistical analyses. Results The most common causes of admission for diabetic patients were diabetic chronic complications (20.2%), infection (19.5%), hyperglycemic symptoms (11.7%), malignant tumor (8.9%) and diabetic acute complications (5.8%). The constituent ratios of diabetic macrovascular disease and malignant tumor as the admission causes tended to increase, while the constituent ratios of diabetic microvascular disease, hyperglycemic symptoms and diabetic acute complications tended to decrease. Infection remained as one of the main causes of admission among diabetic patients. Conclusion The main cause of admission to West China Hospital for diabetic patients from 1996 to 2005 was diabetic chronic complications.