During the medical rescue of Wenchuan earthquake, as a hospital which mainly admitted the severely wounded, West China Hospital immediately shifted to the double-track emergent system from the previous single-track system and dispatched sufficient manpower and materials. The beds in the Department of Orthopaedics were increased to 680. In addition, in order to ensure effective treatment, the hospital dealt with the wounded based on their specific conditions in different stages and optimized the flow of admission of the wounded. Besides, we opened the referral channel for the wounded. Up to June 2nd, 2008, a total of 2 618 wounded people have been treated in to the hospital, and 648 with minor injuries after proper treatment have been referred to the nearby basic-level hospitals.
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.
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.
ObjectivesBased on the historical data of inpatients, a logistic regression model was established. It aimed to identify the influencing factors of patient's admission scheduling decisions and compare them with the actual scheduling rules, so as to discover the differences and deficiencies.MethodsWe extracted data of outpatients and inpatients in Department of Respiration in West China Hospital of Sichuan University from January 1st, 2016 to December 31st, 2016, and standardized the original dataset. We established the binary multivariate logistic regression model through R software and ‘glm’ package.ResultsThe analysis of multi-factor logistic regression showed that the effect of the five variables (type of medical insurance, time of registration, waiting time, type of disease and admission priority) on patient schedule was statistically significant.ConclusionsThe logistic regression model constructed in this study has a good effect on patient planning, which is helpful to provide decision support for admission schedule through identification factors.
ObjectiveTo explore a method for establishing a priority-scoring model for thyroid carcinoma patient admission. MethodsA questionnaire survey was conducted among specialists and outpatients in the thyroid surgery department of the hospital. The weight coefficient of the index factors was calculated to establish the priority-scoring mode by the analytic hierarchy process. The differences in results between specialists and patients were compared. The logical rationality of the model index was tested. ResultsA priority-scoring model for thyroid carcinoma surgery admission was established, including 10 first-level indicators, such as sex, age, cancer type and TNM stage. The weight coefficients of the indicators from high to low were cancer type (0.137), TNM stage (0.134), tumor size (0.127), tumor invasion degree (0.126), tumor invasion site (0.124), relationship between tumor and capsule (0.111), age (0.093), sex (0.061), place of residence (0.05) and medical insurance type (0.035). After the total ratio test, the model CR value was 0.0073, and the model index was highly rational. ConclusionThis study successfully establish a priority-scoring model for thyroid carcinoma surgery admission, which can provide references and a basis for tiered medical services and relevant researches in the future.
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.