Objective To analyze the prevalence and influencing factors of dyslipidemia among permanent residents in Longquanyi district of Chengdu for prevention and control of dyslipidemia. Methods Permanent residents in Longquanyi district were selected as research objects by convenient sampling method between November 2021 and February 2022. The dyslipidemia rate in the population was analyzed, and the influencing factors of dyslipidemia were analyzed by univariate and multivariate logistic regression. Results A total of 11 408 permanent residents were included. Among them, 3650 people had dyslipidemia, with a prevalence rate of 32.00% (3650/11408). The prevalence rates of high total cholesterol, high triglyceride, high low-density lipoprotein cholesterol, and low high-density lipoprotein cholesterol were 19.30% (2 202/11 408), 13.38% (1 526/11 408), 5.05% (576/11 408) and 0.73% (83/11 408), respectively. Multivariate logistic regression analysis showed that female, age≥30 years old, drinking, overweight / obesity, hypertension, diabetes and hyperuricemia were independent risk factors of dyslipidemia among permanent residents (P<0.05). Conclusions The prevalence of dyslipidemia in Longquanyi district is high, mainly with high total cholesterol and high triglyceride. Gender, age, drinking, body mass index, and the levels of blood pressure, blood glucose and blood uric acid are the factors affecting the incidence of dyslipidemia among permanent residents. Early intervention for high-risk groups with dyslipidemia should be adopted to effectively reduce the risk and burden of dyslipidemia.
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.
Objective To investigate the changes of multidrug-resistant organisms (MDROs) in the First People’s Hospital of Longquanyi District of Chengdu around its overall relocation. Methods The First People’s Hospital of Longquanyi District of Chengdu was overall relocated on December 31st, 2016. The detection rates of MDROs and the changes in nosocomial infections before the relocation (from 2015 to 2016) and after the relocation (from 2017 to 2020) were retrospectively analyzed. Results A total of 83634 qualified specimens were submitted for inspection, 8945 strains of pathogenic bacteria were detected, and the detection rate of pathogenic bacteria was 10.70%, showing an increasing trend in yearly detection rates of pathogenic bacteria (χ2trend=8.722, P=0.003); among them, 1551 MDRO strains were detected, and the detection rate of MDROs was 17.34%, showing an increasing trend in yearly detection rates of MDROs (χ2trend=11.140, P=0.001). The detection rate of pathogenic bacteria before relocation was lower than that after relocation, and the difference was statistically significant (9.64% vs. 11.08%; χ2=35.408, P<0.001); there was no significant difference in the detection rate of MDROs before and after relocation (16.32% vs. 17.66%; χ2=2.050, P=0.152). From 2015 to 2020, the detection rates of pathogenic bacteria from sputum+throat swab specimens (χ2trend=81.764, P<0.001) and secretion+pus specimens (χ2trend=56.311, P<0.001) showed increasing trends, while the detection rates of pathogenic bacteria from blood specimens (χ2trend=110.400, P<0.001), urine specimens (χ2trend=11.919, P=0.001), and sterile body fluid specimens (χ2trend=20.158, P<0.001) showed decreasing trends. The MDRO detection rates of Escherichia coli (χ2trend=21.742, P<0.001), Staphylococcus aureus (χ2trend=47.049, P<0.001), and Pseudomonas aeruginosa (χ2trend=66.625, P<0.001) showed increasing trends, while the MDRO detection rates of Klebsiella pneumoniae (χ2trend=2.929, P=0.087) and Acinetobacter baumannii (χ2trend=0.498, P=0.481) showed no statistically linear trend, but the MDRO detection rate of Acinetobacter baumannii dropped significantly in 2017. In the targeted monitored MDROs, the proportions of nosocomial infections in methicillin-resistant Staphylococcus aureus (χ2trend=4.581, P=0.032), carbapenem-resistant Enterobacteriaceae (χ2trend=8.031, P=0.005), and carbapenem-resistant Pseudomonas aeruginosa (χ2trend=6.692, P=0.010) showed decreasing trends; there was no statistically linear trend in the proportion of nosocomial infections in carbapenem-resistant Acinetobacter baumannii (χ2trend=0.597, P=0.440); only one strain of vancomycin-resistant Enterococcus was detected in 2017, and no nosocomial infection occurred. Conclusions The overall detection rate of pathogenic bacteria and MDROs in this tertiary general hospital around relocation showed increasing trends year by year. The detection rate of pathogenic bacteria after relocation was higher than that before relocation, but the detection rate of MDROs after relocation did not differ from that before relocation. The proportion of nosocomial infections among the targeted monitored MDROs decreased.