1.Evaluating the effectiveness of surgical quality and safety improvement initiatives using interrupted time series analysis
Xiaoyu YANG ; Weiping WANG ; Hongtao WANG ; Yi LIU ; Jiameng ZHOU ; Zehua MA ; Xibei ZHOU ; Bo ZHANG
Modern Hospital 2025;25(7):1024-1026,1031
Objective To evaluate the impact of the"Surgical Quality and Safety Improvement Initiative"by analyzing changes in surgical quality and safety indicators at a tertiary hospital in Tianjin,and to provide policy recommendations for further enhancing surgical quality improvement pathways.Methods Surgical quality and safety monitoring data from 2022 to 2024 were collected from a tertiary hospital in Tianjin.Interrupted time series analysis(ITSA)was employed to assess the effects of im-provement measures on surgical quality and safety outcomes.Results Following implementation of the initiative,perioperative complication rates showed a declining trend(β3=-0.051,P<0.05),unplanned reoperation rates significantly decreased(β2=-0.121,P<0.05),and surgical mortality rates markedly declined(β2=-0.086,P<0.05),indicating that the man-agement measures effectively improved hospital surgical quality and safety over the study period.Conclusion The"Surgical Quality and Safety Improvement Initiative,"which established a comprehensive,staff-involved pathway for continuous surgical quality improvement,successfully enhanced surgical quality and safety.Recommendations include emphasizing frontline staff par-ticipation in quality management,strengthening data monitoring and feedback systems,implementing reasonable performance in-centives to motivate systemic improvement,and leveraging health information technology to support refined surgical management.
2.Evaluating the effectiveness of surgical quality and safety improvement initiatives using interrupted time series analysis
Xiaoyu YANG ; Weiping WANG ; Hongtao WANG ; Yi LIU ; Jiameng ZHOU ; Zehua MA ; Xibei ZHOU ; Bo ZHANG
Modern Hospital 2025;25(7):1024-1026,1031
Objective To evaluate the impact of the"Surgical Quality and Safety Improvement Initiative"by analyzing changes in surgical quality and safety indicators at a tertiary hospital in Tianjin,and to provide policy recommendations for further enhancing surgical quality improvement pathways.Methods Surgical quality and safety monitoring data from 2022 to 2024 were collected from a tertiary hospital in Tianjin.Interrupted time series analysis(ITSA)was employed to assess the effects of im-provement measures on surgical quality and safety outcomes.Results Following implementation of the initiative,perioperative complication rates showed a declining trend(β3=-0.051,P<0.05),unplanned reoperation rates significantly decreased(β2=-0.121,P<0.05),and surgical mortality rates markedly declined(β2=-0.086,P<0.05),indicating that the man-agement measures effectively improved hospital surgical quality and safety over the study period.Conclusion The"Surgical Quality and Safety Improvement Initiative,"which established a comprehensive,staff-involved pathway for continuous surgical quality improvement,successfully enhanced surgical quality and safety.Recommendations include emphasizing frontline staff par-ticipation in quality management,strengthening data monitoring and feedback systems,implementing reasonable performance in-centives to motivate systemic improvement,and leveraging health information technology to support refined surgical management.
3.Distribution characteristics and influencing factors of ultra-long hospitalization in patients with malig-nant tumors
Xiaoyu YANG ; Weiping WANG ; Hongtao WANG ; Yi LIU ; Jiameng ZHOU ; Zehua MA ; Xibei ZHOU ; Bo ZHANG ; Jinpo ZHENG
Modern Hospital 2025;25(8):1223-1226
Objective To analyze the distribution characteristics and influencing factors of ultra-long hospitalization in malignant tumor patients and to explore strategies to reduce the average length of stay and enhance the efficiency of medical re-source utilization.Methods Ultra-long hospitalization was defined as the 99th percentile of hospital stay duration(P99=31 days).Data from patients discharged with malignant tumors in a specialized cancer hospital in 2024 were collected.The distribu-tion characteristics and influencing factors were analyzed using chi-square tests and logistic stepwise regression.Results Among the 36 097 patients with malignant tumors,the average length of stay was 4.95 days,with 375 cases classified as ultra-long hospi-talizations,accounting for 1.04%.These patients were predominantly over 55 years old,with a higher proportion of males.Pa-tients with stage Ⅲ malignant tumors,primary tumors classified as T2~T3,and primary sites in the esophagus,pancreas,and maxillofacial regions had a higher incidence of ultra-long hospitalizations.Significant factors influencing ultra-long hospitalization included treatment modality,complications(OR=20.319),number of discharge diagnoses(OR=6.915),ICU transfers(OR=4.714),unplanned reoperations(OR=4.416),tumor type,extent,and stage.Conclusion Medical institutions are advised to address the influencing factors of ultra-long hospitalizations by optimizing diagnostic and treatment processes,enhan-cing quality control systems,establishing early warning mechanisms,and strengthening information systems.These measures aim to improve the standardization of malignant tumor diagnosis and treatment,ensuring patient safety.
4.Integrative review of follow-up practices in post-bariatric surgery patients
Xuefei LI ; Ke WANG ; Lili MA ; Xibei JIA ; Cong FU
Chinese Journal of Modern Nursing 2025;31(11):1401-1408
Objective:To conduct an integrative review of follow-up practices in post-bariatric surgery patients, clarify current follow-up strategies and influencing factors, and provide references for clinical practice and future research.Methods:An integrative review approach was employed. Systematic searches were conducted in PubMed, Web of Science, Cochrane Library, CINAHL, China National Knowledge Infrastructure, Wanfang, and VIP for studies related to post-bariatric surgery follow-up. The search period extended up to December 1, 2024. Data extraction and synthesis were performed by two independent researchers.Results:A total of 30 studies were included, comprising 12 non-randomized quantitative studies, 11 descriptive quantitative studies, three randomized controlled trials, three qualitative studies, and one mixed-method study. Among them, 15 studies explored factors contributing to loss to follow-up, which were mainly categorized into subjective psychological factors, objective barriers, demographic characteristics, and medical-related factors. A total of 12 studies evaluated the effectiveness of various follow-up strategies, showing that telemedicine and IoT-based remote follow-up models could improve patient adherence and reduce the risk of postoperative complications. Additionally, multidisciplinary collaborative models demonstrated superior outcomes in increasing follow-up rates, lowering complication rates, and improving excess weight loss compared to traditional management approaches. The use of financial incentives exhibited short-term effectiveness, with quantitative studies indicating sustained adherence for up to six months; however, qualitative studies suggested that while patients acknowledged financial incentives as a supportive measure, they perceived their impact on long-term motivation to be limited. Furthermore, routine monitoring, continuity of care led by dedicated personnel, and efficient team communication were identified as effective strategies to enhance follow-up adherence and postoperative management.Conclusions:Multiple factors influence follow-up adherence in post-bariatric surgery patients. Technology-driven remote follow-up and personalized support strategies have shown significant advantages in enhancing follow-up rates. Future efforts should focus on standardizing post-bariatric surgery follow-up protocols.
5.Distribution characteristics and influencing factors of ultra-long hospitalization in patients with malig-nant tumors
Xiaoyu YANG ; Weiping WANG ; Hongtao WANG ; Yi LIU ; Jiameng ZHOU ; Zehua MA ; Xibei ZHOU ; Bo ZHANG ; Jinpo ZHENG
Modern Hospital 2025;25(8):1223-1226
Objective To analyze the distribution characteristics and influencing factors of ultra-long hospitalization in malignant tumor patients and to explore strategies to reduce the average length of stay and enhance the efficiency of medical re-source utilization.Methods Ultra-long hospitalization was defined as the 99th percentile of hospital stay duration(P99=31 days).Data from patients discharged with malignant tumors in a specialized cancer hospital in 2024 were collected.The distribu-tion characteristics and influencing factors were analyzed using chi-square tests and logistic stepwise regression.Results Among the 36 097 patients with malignant tumors,the average length of stay was 4.95 days,with 375 cases classified as ultra-long hospi-talizations,accounting for 1.04%.These patients were predominantly over 55 years old,with a higher proportion of males.Pa-tients with stage Ⅲ malignant tumors,primary tumors classified as T2~T3,and primary sites in the esophagus,pancreas,and maxillofacial regions had a higher incidence of ultra-long hospitalizations.Significant factors influencing ultra-long hospitalization included treatment modality,complications(OR=20.319),number of discharge diagnoses(OR=6.915),ICU transfers(OR=4.714),unplanned reoperations(OR=4.416),tumor type,extent,and stage.Conclusion Medical institutions are advised to address the influencing factors of ultra-long hospitalizations by optimizing diagnostic and treatment processes,enhan-cing quality control systems,establishing early warning mechanisms,and strengthening information systems.These measures aim to improve the standardization of malignant tumor diagnosis and treatment,ensuring patient safety.
6.Integrative review of follow-up practices in post-bariatric surgery patients
Xuefei LI ; Ke WANG ; Lili MA ; Xibei JIA ; Cong FU
Chinese Journal of Modern Nursing 2025;31(11):1401-1408
Objective:To conduct an integrative review of follow-up practices in post-bariatric surgery patients, clarify current follow-up strategies and influencing factors, and provide references for clinical practice and future research.Methods:An integrative review approach was employed. Systematic searches were conducted in PubMed, Web of Science, Cochrane Library, CINAHL, China National Knowledge Infrastructure, Wanfang, and VIP for studies related to post-bariatric surgery follow-up. The search period extended up to December 1, 2024. Data extraction and synthesis were performed by two independent researchers.Results:A total of 30 studies were included, comprising 12 non-randomized quantitative studies, 11 descriptive quantitative studies, three randomized controlled trials, three qualitative studies, and one mixed-method study. Among them, 15 studies explored factors contributing to loss to follow-up, which were mainly categorized into subjective psychological factors, objective barriers, demographic characteristics, and medical-related factors. A total of 12 studies evaluated the effectiveness of various follow-up strategies, showing that telemedicine and IoT-based remote follow-up models could improve patient adherence and reduce the risk of postoperative complications. Additionally, multidisciplinary collaborative models demonstrated superior outcomes in increasing follow-up rates, lowering complication rates, and improving excess weight loss compared to traditional management approaches. The use of financial incentives exhibited short-term effectiveness, with quantitative studies indicating sustained adherence for up to six months; however, qualitative studies suggested that while patients acknowledged financial incentives as a supportive measure, they perceived their impact on long-term motivation to be limited. Furthermore, routine monitoring, continuity of care led by dedicated personnel, and efficient team communication were identified as effective strategies to enhance follow-up adherence and postoperative management.Conclusions:Multiple factors influence follow-up adherence in post-bariatric surgery patients. Technology-driven remote follow-up and personalized support strategies have shown significant advantages in enhancing follow-up rates. Future efforts should focus on standardizing post-bariatric surgery follow-up protocols.
7.Evaluation index system of medical quality in clinical departments under the high-quality development of public hospitals
Hongtao WANG ; Weiping WANG ; Xiaoyu YANG ; Bo ZHANG ; Zehua MA ; Xibei ZHOU ; Jiameng ZHOU
Modern Hospital 2024;24(2):235-238,242
Objective To establish an evaluation index system that can be used for medical quality assessment in clini-cal departments.Methods Based on literature analysis and key informant interview,the Delphi method was used to analyze the-importance and operability of the evaluation index system of medical quality in clinical departments.Results A clinical depart-ment medical quality assessment and evaluation system was established,consisting of 3 primary indicators,14 secondary indica-tors,and 24 tertiary indicators.Conclusion By building a medical quality assessment and evaluation index system in clinical departments,a simple,standardized,and highly operational management model is established for medical institutions to carry out medical quality management.It is conducive to directing clinical departments to focus on medical quality management,improving their medical quality awareness and management level,and promoting the high-quality development of public hospitals.
8.Construction and application evaluation of off-label drug use evaluation system in cancer hospital
Jinglin LIU ; Weiping WANG ; Hongtao WANG ; Ning GAO ; Chao ZHANG ; Xibei ZHOU ; Chunnuan WU ; Lu LU ; Jie ZHANG ; Xiaokun SONG
China Pharmacy 2024;35(17):2082-2087
OBJECTIVE To provide reference for strengthening the standardized management of off-label drug use in cancer hospitals. METHODS The evaluation system for off-label drug use was established to standardize the application, approval, and filing process for off-label drug use in our hospital. The changes in off-label drug application quantity, proportion, disease category and drug category in our hospital were compared before (October 1st, 2021-September 30th, 2022) and after (October 1st, 2022- September 30th, 2023) the establishment of the evaluation system; drug items supported by high-level evidence screened by pharmacy department were analyzed statistically. RESULTS The number of off-label drug use applications in our hospital had gradually increased, from 306 pieces in the fourth quarter of 2021 to 3 828 pieces in the third quarter of 2023. In the year before the construction of the evaluation system, there were a total of 4 482 applications for off-label drug use, and in the year after the construction of the evaluation system, there were 11 840 applications for off-label drug use. After the construction of the evaluation system, the proportion of unregistered off-label drug use significantly decreased, compared to the same period last year (P<0.05). Among them, there were no unregistered applications for off-label drug use for digestive system tumors, head and neck tumors, and radioactive drugs; lymphoma, breast tumors,urogenital system tumors, cytotoxic drugs and new anti-tumor drugs all had a decrease of over 70% in unregistered off-label drug applications. Twenty-seven off-label drug use items related to 19 drugs supported by high-level evidence were screened by the pharmacy department of our hospital, among which 25 items were drug use beyond indication. CONCLUSIONS The establishment of off-label drug use evaluation system in cancer hospital is helpful to the rational use and refined management of clinical anti-tumor drugs.
9.Association between atmospheric particulate matters and outpatient visits for respiratory disorders in Jiaxing City of Zhejiang Province from 2019 to 2021: a time series analysis
Weiwei HONG ; Zhehua ZHOU ; Guoying ZHU ; Ze ZHU ; Xibei WANG ; Yikang WU
Shanghai Journal of Preventive Medicine 2023;35(2):148-153
ObjectiveTo explore the effect of exposure to atmospheric particulate matters on the outpatient visits of respiratory disorders in Jiaxing City,Zhejiang Province. MethodsDaily air pollutant monitoring data,meteorological data and outpatient visits of respiratory disorders in Jiaxing City from 2019 to 2021 were collected.A generalized additive model was applied to evaluate the effect and laggeel effect of the concentrations of atmospheric particulates for outpatient visits of respiratory disorders after adjusting for secular trend, day-of-the-week effect, holiday effect, and meteorological variables. ResultsThe daily average concentrations of PM2.5, PM10, O3 and NO2 exceeded the standard, and the proportion of days exceeding the standard was 3.4%, 1.3%, 11.0% and 0.8%, respectively. Every 10 μg·m-3 increase in PM2.5 concentration showed the strongest effects on the daily outpatient visits of respiratory disorders, adult and childhood respiratory disorders all on lag07 with ER(95%CI) being 2.29%(1.35%‒3.24%), 2.31% (1.39%‒3.23%) and 2.65 % (1.36%‒3.96%), respectively. The maximum ER of outpatient visits for respiratory disorders in children was higher than that in adults. Every 10 μg·m-3 increase in PM10 concentration showed the strongest effects on the daily outpatient visits of respiratory disorders on lag07, adult respiratory disorders on lag06 and childhood respiratory disorders on lag07 with ER(95%CI) being 1.42% (0.87%‒1.96%), 1.49%(0.99%‒1.99%) and 1.61% (0.87%‒2.36%), respectively. The results of double-pollutant model showed that the effect of atmospheric particulate reduced after O3 was introduced into the model. ConclusionThere are a short-term effect and a laggeel effect of atmospheric particulate on the outpatient visits of respiratory disorders. It is necessary to strengthen the health protection of the respiratory system of the population, especially the children.

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