ObjectivesTo survey the features of reservation bed and investigate the factors of hospital operation which may affect the patient loyalty of reservation bed in large general hospital. MethodsAll patients who reserved bed before July 2013 in hospital service center of a large general hospital were investigated by questionnaire in telephone and collected the basic data. Measurement index was designed to conclude the characteristics of patient loyalty of reservation bed in different departments. Multivariate statistical analysis was used to analyze the influence factors of patient loyalty. ResultsIn the large general hospital, significant difference was found in patient loyalty of reservation bed in different departments. The diversity was mainly impacted by average waiting time of admission, cancelling waiting length, loyalty of patient inside the province, average length of stay, readmission rate on the day of discharge. ConclusionLarge general hospital should pay more attention to dynamic monitoring and disclosure of supply and demand information of bed resources, to improve the management of beds resources and optimize reservation system, to elevate patient's loyalty of reservation bed in hospital.
After the occurrence of public health emergencies, as the most direct front position, how to carry out medical treatment orderly, effectively, rapidly and safely in a short time has become the focus and difficulty of epidemic control. After the outbreak of 2019 novel coronavirus pneumonia (2019-nCoV), West China Hospital of Sichuan University, as a large-scale general hospital under the supervision of the CPC central committee, put people's life safety and health first, and attach great importance to the prevention and control of the epidemic. This paper introduces the ten measures taken by West China Hospital of Sichuan University to fight against the 2019-nCoV pneumonia, in order to provide reference for other hospitals.
ObjectiveTo analyze the risk factors of multidrug-resistant organism (MDRO) nosocomial infection, and to provide the scientific basis for the prevention and control of MDRO nosocomial infection.MethodsPatients with MDRO in Chengdu Shangjin Nanfu Hospital from 2014 to 2015 were retrospectively collected. The patients were divided into the MDRO nosocomial infection group and the MDRO non-nosocomial infection group. The MDRO infection/colonization, bacterial strain type, specimens type and distribution characteristics of clinical departments were analyzed. Single factor and multiple factor logistic regression analysis were used to analyze the risk factors of MDRO nosocomial infection.ResultsA total of 357 patients of MDRO infection/colonization were monitored, of which 147 times (144 patients) were with nosocomial infections and 213 times (213 patients) were without nosocomial infections. MDRO nosocomial infection incidence rate/cases incidence rate were 0.18%. A total of 371 MDRO bacterial strains were detected, of which 147 (39.62%) were with nosocomial infection and 224 (60.38%) were without nosocomial infections. The MDRO non-nosocomial infections included 175 strains (47.17%) in community infection and 49 strains (13.12%) in colonization. Carbapenem-resistant Acinetobacter baumannii (52.83%) was the main MDRO strains. Sputum (57.14%) and secretion (35.04%) were main specimens. The top three departments of MDRO nosocomial infection strains were orthopedics (32.65%), ICU (27.89%), neurosurgery (13.61%). ICU [odds ratio (OR)=3.596, 95% confidence interval (CI) (1.124, 11.501), P=0.031], surgical history [OR=2.858, 95%CI (1.061, 7.701), P=0.038], indwelling urinary catheter [OR=3.250, 95%CI (1.025, 10.306), P=0.045], and using three or more antibiotics [OR=4.228, 95%CI (1.488, 12.011), P=0.007] were the independent risk factors of MDRO nosocomial infection.ConclusionEffective infection prevention and control measures should be adopted for the risk factors of MDRO nosocomial infection to reduce the incidence rate of MDRO nosocomial infection.
With the development of rehabilitation medicine being promoted as a national strategy, the rehabilitation medicine has developed rapidly in China, and the number of rehabilitation medicine departments in tertiary general hospitals has increased greatly. However, the discipline development faces some problems, such as unreasonable physical condition setting, nonstandard clinical path of rehabilitation technology, inaccurate discipline positioning, loopholes in safety management, inadequate rehabilitation quality control, and imperfect talent construction system. This paper attempts to discuss the strategic thinking of the development of rehabilitation medicine from six dimensions: foundation, technology, system, safety, quality control, and talents, so as to provide a reference for discipline builders.
West China Hospital of Sichuan University has explored and established an intelligent assistant evaluation mechanism for professional titles based on the personnel information system, which makes the evaluation more convenient, more efficient, and the whole process more open and transparent. This paper aimed to introduce it and to provide references for evidence-based decision-making of medical institutions.
Objective To explore the present situation of the efficiency about public tertiary general hospitals in Shandong province, measure and compare the efficiency and the state of returns to scale of hospitals under different bed scales. Methods Based on the input and output data of 137 public tertiary general hospitals in Shandong province in 2017, two input indicators (the number of employees and the number of actual beds) and two output indicators (the total number of outpatients and emergent patients, and the number of discharges) were selected. The technical efficiency, pure technical efficiency and scale efficiency of sample hospitals were calculated by using data envelopment analysis, and a comparative analysis was carried out under different bed scales. Results Of the 137 public tertiary general hospitals, the mean of technical efficiency value was 0.666, the medians of pure technical efficiency value and scale efficiency value in 2017 were 0.817 and 0.919, respectively. In the 137 sample hospitals, there were 132 hospitals (96.4%) in ineffective status; there were 90 hospitals (65.7%) exhibiting increasing returns to scale, 11 hospitals (8.0%) exhibiting constant returns to scale, and 36 hospitals (26.3%) exhibiting decreasing returns to scale. There were significant differences in hospital efficiency and returns to scale under different bed sizes (P<0.001), and the scale efficiency was the highest when the bed size was 1001-2000. Conclusions The overall operating efficiency of the public tertiary general hospitals in the province was not high yet. Most hospitals were in ineffective status and most of them were in the state of increasing returns to scale. The optimal scale of actual beds is between 1001 and 2000 beds from the perspective of scale efficiency.