1.Evaluation index system of life support equipment of hospital based on fuzzy comprehensive evaluation model
Liangjun NI ; Weijian CHEN ; Weijie HUANG ; Xia ZHANG
China Medical Equipment 2025;22(6):113-118
Objective:To construct a fuzzy comprehensive evaluation model for life support equipment of hospital,so as to improve quality of management for equipment.Methods:Based on the operating status of life support equipment in Jiangmen Maternal and Child Health Care Hospital of Guangdong Province,a fuzzy comprehensive evaluation model was constructed,and the indicators of different levels were set.The index weights were calculated according to the Analytic Hierarchy Process(AHP),and the equipment management strategy was formulated based on the evaluated results.A total of 98 life support equipment in clinical use in our hospital from January 2023 to July 2024 were selected.In them,49 equipment were managed under the conventional management mode,and the other 49 equipment were managed under the assessment system management mode of the kind of life support equipment based on fuzzy comprehensive evaluation model(model management mode)according to the random number table method.The timeliness,management effect and management efficiency of the two management modes for equipment were compared.A self-made satisfaction questionnaire was used to investigate the satisfaction scores of equipment engineers,clinicians and managers of relevant departments in usage management for equipment in the equipment usage of the two management modes.Results:The timeliness of equipment early warning,the timeliness of maintenance personnel's arrival,and the timeliness of proposing maintenance opinions were respectively(0.78±0.14)min,(5.14±2.11)min,and(10.69±3.11)min in the model management mode,all which were shorter than those in the conventional management mode,and the differences were statistically significant(t=16.697,11.857,16.117,P<0.05).The regular maintenance rate of equipment adopting the model management mode was higher than that adopting the conventional management mode,and the failure rate was lower than that adopting the conventional management mode,and the differences were statistically significant(x2=12.274,12.261,P<0.05),respectively.The maintenance time of the model management mode was shorter than that of the conventional management mode,and the operation and maintenance cost of the model management mode was lower than that of the conventional management mode,and the differences were statistically significant(t=17.451,12.707,P<0.05).The scores of management efficiencies of resource allocation,technical support,environmental guarantee and information infrastructure of the model management mode were all higher than those of the conventional management mode,and the differences were statistically significant(t=12.268,14.908,16.128,13.920,P<0.05).In usage management for equipment,the satisfaction scores of equipment engineers,clinicians and managers of relevant departments for equipment management adopting the model management mode were higher than those adopting the conventional management mode,and the differences were statistically significant(t=13.118,16.209,12.557,P<0.05).Conclusion:The assessment system of hospital for life support equipment based on the fuzzy comprehensive evaluation model can enhance the quality of management and operation for equipment,and improve the service level of equipment,and increase the operational efficiency of equipment.
2.Evaluation index system of life support equipment of hospital based on fuzzy comprehensive evaluation model
Liangjun NI ; Weijian CHEN ; Weijie HUANG ; Xia ZHANG
China Medical Equipment 2025;22(6):113-118
Objective:To construct a fuzzy comprehensive evaluation model for life support equipment of hospital,so as to improve quality of management for equipment.Methods:Based on the operating status of life support equipment in Jiangmen Maternal and Child Health Care Hospital of Guangdong Province,a fuzzy comprehensive evaluation model was constructed,and the indicators of different levels were set.The index weights were calculated according to the Analytic Hierarchy Process(AHP),and the equipment management strategy was formulated based on the evaluated results.A total of 98 life support equipment in clinical use in our hospital from January 2023 to July 2024 were selected.In them,49 equipment were managed under the conventional management mode,and the other 49 equipment were managed under the assessment system management mode of the kind of life support equipment based on fuzzy comprehensive evaluation model(model management mode)according to the random number table method.The timeliness,management effect and management efficiency of the two management modes for equipment were compared.A self-made satisfaction questionnaire was used to investigate the satisfaction scores of equipment engineers,clinicians and managers of relevant departments in usage management for equipment in the equipment usage of the two management modes.Results:The timeliness of equipment early warning,the timeliness of maintenance personnel's arrival,and the timeliness of proposing maintenance opinions were respectively(0.78±0.14)min,(5.14±2.11)min,and(10.69±3.11)min in the model management mode,all which were shorter than those in the conventional management mode,and the differences were statistically significant(t=16.697,11.857,16.117,P<0.05).The regular maintenance rate of equipment adopting the model management mode was higher than that adopting the conventional management mode,and the failure rate was lower than that adopting the conventional management mode,and the differences were statistically significant(x2=12.274,12.261,P<0.05),respectively.The maintenance time of the model management mode was shorter than that of the conventional management mode,and the operation and maintenance cost of the model management mode was lower than that of the conventional management mode,and the differences were statistically significant(t=17.451,12.707,P<0.05).The scores of management efficiencies of resource allocation,technical support,environmental guarantee and information infrastructure of the model management mode were all higher than those of the conventional management mode,and the differences were statistically significant(t=12.268,14.908,16.128,13.920,P<0.05).In usage management for equipment,the satisfaction scores of equipment engineers,clinicians and managers of relevant departments for equipment management adopting the model management mode were higher than those adopting the conventional management mode,and the differences were statistically significant(t=13.118,16.209,12.557,P<0.05).Conclusion:The assessment system of hospital for life support equipment based on the fuzzy comprehensive evaluation model can enhance the quality of management and operation for equipment,and improve the service level of equipment,and increase the operational efficiency of equipment.
3.High-alert Drug Management and Risk Control in Our Hospital
Hechun JIANG ; Weijian NI ; Zhangbao WU
China Pharmacy 2021;32(9):1108-1113
OBJECTIVE:To explore high-alert drug management mode of our hospital ,and to provide reference for the management and utilization of this category in medical institutions. METHODS :According to High-alert Drug Catalog (2019 edition)issued by Hospital Pharmacy Committee of Chinese Pharmaceutical Association ,the high-alert drug catalog of our hospital and their risk points were formulated. Relevant training and assessment were conducted for physicians ,pharmacists and nurses throughout the hospital. Using qualification rate of high-alert drug management and utilization as index ,the effectiveness of high-alert drug management and utilization were compared before and after optimization. RESULTS :In our hospital ,the risk of high-alert drugs was controlled by establishing inspection and supervision group ,pharmacist education ,information management , prescription review and individualized administration ,medication guidance ,prescription review and medication error reporting and other measures and with continuous optimization. Compared with before optimization ,qulification rate of high-alert drug management and utilization increased from 37.3% to 80.1% in clinical departments (P<0.01),and that increased from 59.2% to 85.0% in pharmacy department (P<0.01). There were still some problems ,such as the inconsistency of high-alert drugs accounts and materials ,the failure to report all medication errors in time ,the imperfect establishment of prescription review software rules , the insufficient medication guidance ,and the lack of individual medication varieties. CONCLUSIONS :By optimizing the management of high-alert drugs ,the management and utlization of this category is improved effectively in clinical departments and pharmacy departments of our hospital.
4.Correlation between human platelet antigen polymorphisms and platelet parameters
Shihang ZHOU ; Ni WANG ; Linnan SHAO ; Weijian YU ; Kaili ZHANG ; Ming LIU ; Xiaohua LIANG
Chinese Journal of Blood Transfusion 2021;34(5):461-464
【Objective】 To investigate the correlation between human platelet antigens (HPA) polymorphisms and platelet parameters. 【Methods】 The HPA-2, HPA-3, HPA-5 and HPA-15 genotypes of 139 healthy Chinese Han individuals were detected using TaqMan-MGB probe real-time PCR, while platelet parameters including platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW) and platelet-large cell ratio (P-LCR) were measured using hematology cell analyzer. 【Results】 The PLT was significantly lower in the individuals with HPA-2aa genotype compared to those with HPA-2ab [(234.35±50.10)×103/μL vs (269.58±41.66)×103/μL, P<0.05], while the PLT was significantly higher in individuals with HPA-5aa and HPA-15aa genotypes compared to those with HPA-5ab and HPA-15ab/bb [HPA-5: (239.36±49.81)×103/μL vs (200.29±48.02)×103/μL; HPA-15: (251.00±58.41)×103/μL vs (231.29±45.20)×103/μL, P<0.05], respectively. The MPV, PDW and P-LCR were significantly lower in individuals with HPA-5aa genotype compared to those with HPA-5ab [mpv: (10.01±0.72)fL vs (10.94±1.01)fL; PDV: (11.94%±1.35%) vs (14.25%±2.78%); P-LCR: (25.32%±5.03%) vs (31.73%±6.39%), P<0.05], but did not differ among the HPA-2 and HPA-15 genotypes. Besides, no significant differences in platelet parameters of individuals with HPA-3aa and HPA-3ab/bb genotypes were notable(P>0.05). HPA-2, -5 and -15 polymorphisms were identified as independent factors for platelet count, and HPA-5 polymorphism was an independent factor for platelet volume, revealed by multiple linear regression analysis. 【Conclusion】 HPA-2, -5 and -15 polymorphisms are correlated with platelet count, and HPA-5 polymorphism is correlated with platelet volume.
5.Molecular biologicalstudy of DEL in RhD-negative blood donors, Dalian
Ni WANG ; Shihang ZHOU ; Linnan SHAO ; Yuexin XIA ; Wenxu XUE ; Weijian YU
Chinese Journal of Blood Transfusion 2021;34(11):1193-1196
【Objective】 To study the frequency, Rh phenotypes and molecular & biological background of D-elute (Del) phenotype in RhD-negative blood donors in Dalian. 【Methods】 A total of 355 serologically RhD-negative samples between November, 2018 and October, 2019 in Dalian Blood Center were collected, and tested for RhC, c, E, e phenotypes using monoclonal antibodies and anti-D adsorption/elution test. DNA was extracted by magnetic bead selection. RHD 1227G>A mutation was detected by melting curve analysis. All RHD exons were sequenced by Sanger sequencing. 【Results】 Among 355 serologically RhD-negative blood donors, 55 (15.5%) were identified as Del and the remaining 300 cases (84.5%) were true RhD negative. Ccee (45/55, 81.8%) was the predominant Rh phenotype among 55 Del cases while ccee (210/300, 70.0%) was the most prevalent Rh phenotypes in 300 true RhD negative cases. In 55 Del cases, 51 (92.7%) had RHD 1227G>A mutation, and the other 4 cases(7.3%) had mutations in other sites. 【Conclusion】 The frequency of Del was 15.5% in serologically RhD-negative blood donors in Dalian, with Ccee being the most prevalent Rh phenotype and RHD 1227G>A the most common gene mutation.
6.Application of Hierarchical Weighted TOPSIS to Evaluate Rational Drug Use of Saxagliptin in a Hospital
Yan LI ; Aizong SHEN ; Pengli ZHU ; Wan ZHOU ; Ming FANG ; Weijian NI ; Wei WEI ; Liqin TANG
China Pharmacy 2020;31(5):627-632
OBJECTIVE:To provide method reference for scientifically eva luating the rationality of the use of saxagliptin . METHODS:Based on the drug instructions ,clinical guidelines ,clinical pathways ,related references ,clinical endocrinology department and pharmaceutical experts of a hospital jointly discussed and formulated the evaluation criteria for the rationality of the use of saxagliptin. AHP method was used to assign weights to various indexes of evaluation criteria ;TOPSIS method was used to analyze the use of saxagliptin of 106 cases in the hospital during Nov. 2018-Apr. 2019 retrospectively and evaluate rational drug use. RESULTS :A total of 6 primary indicators and 12 secondary indicators were established. The first three indicators with a relatively high index weight were indications (with a weight of 0.25),dose and adjustment of administration (with a weight of 0.21)and frequency of administration (with a weight of 0.15). Among 106 cases,39.6% of drug use were reasonable ,51.0% were basically reasonable and 9.4% were unreasonable. Evaluation results made by weighted TOPSIS were consistent with the actual situation. CONCLUSIONS :TOPSIS method weighted by AHP is reasonable and feasible for evaluating the rationality of saxagliptin use.
7.A survey of the off-label use in patients with major mental disorders in a tertiary psychiatric hospital in 2017
Xinhu YANG ; Tianle WANG ; Weijian LIU ; Ben CHEN ; Yanling ZHOU ; Chanjuan ZHANG ; Jinqing HU ; Haishan SHI ; Chang QIU ; Xiong HUANG ; Ni FAN ; Yuping NING
Chinese Journal of Psychiatry 2019;52(3):181-187
Objective To investigate the status quo of the off-label use in patients with major mental disorders in a tertiary psychiatric hospital and to analyze its relevant risk factors,so as to provide the basis for establishing the off-label use norm.Methods The data of inpatients with major mental disorders (schizophrenia,bipolar disorder and depression) were collected from electronic medical records system in the Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital).The incidence and categories of off-label use were analyzed by descriptive analysis.The chi-square test and logistic regression analysis were used to analyze factors such as age,gender,diagnosis,the number of prescribed psychotropic drugs,physician title,etc.Results A total of 2 371 patients and 10 794 prescriptions were collected and analyzed.The incidence of off-label use was 80.43% (1 907/2 371) and 42.46% (4 583/10 794) in patients and prescriptions,respectively.The main categories and constituent ratio of off-label use were indications (89.16%,4 086/4 583),dosage (4.63%,212/4 583),population and age (0.31%,14/4 583),while there were 5.91% (271/4 583) prescriptions contain 2 or more different categories.The off-label use was widespread among different types of psychotropic drugs,mental disorders and clinical departments.The risk factors were the number of prescribed psychotropic drugs (Wald=177.218,P<0.01),the diagnosis of mental disorders (Wald=35.320,P<0.01) and physician title (Wald=8.667,P=0.003).Conclusion Off-label use is common in patients in the tertiary psychiatric hospital,involving different kinds of psychotropic drugs,mental disorders and clinical departments.The primary category of off-label use is indications.
8.A survey of the off-label use in patients with major mental disorders in a tertiary psychiatric hospital in 2017
Xinhu YANG ; Tianle WANG ; Weijian LIU ; Ben CHEN ; Yanling ZHOU ; Chanjuan ZHANG ; Jinqing HU ; Haishan SHI ; Chang QIU ; Xiong HUANG ; Ni FAN ; Yuping NING
Chinese Journal of Psychiatry 2019;52(3):181-187
Objective To investigate the status quo of the off-label use in patients with major mental disorders in a tertiary psychiatric hospital and to analyze its relevant risk factors,so as to provide the basis for establishing the off-label use norm.Methods The data of inpatients with major mental disorders (schizophrenia,bipolar disorder and depression) were collected from electronic medical records system in the Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital).The incidence and categories of off-label use were analyzed by descriptive analysis.The chi-square test and logistic regression analysis were used to analyze factors such as age,gender,diagnosis,the number of prescribed psychotropic drugs,physician title,etc.Results A total of 2 371 patients and 10 794 prescriptions were collected and analyzed.The incidence of off-label use was 80.43% (1 907/2 371) and 42.46% (4 583/10 794) in patients and prescriptions,respectively.The main categories and constituent ratio of off-label use were indications (89.16%,4 086/4 583),dosage (4.63%,212/4 583),population and age (0.31%,14/4 583),while there were 5.91% (271/4 583) prescriptions contain 2 or more different categories.The off-label use was widespread among different types of psychotropic drugs,mental disorders and clinical departments.The risk factors were the number of prescribed psychotropic drugs (Wald=177.218,P<0.01),the diagnosis of mental disorders (Wald=35.320,P<0.01) and physician title (Wald=8.667,P=0.003).Conclusion Off-label use is common in patients in the tertiary psychiatric hospital,involving different kinds of psychotropic drugs,mental disorders and clinical departments.The primary category of off-label use is indications.
9.Predictors of cerebral infarction in patients with ruptured anterior communicating artery aneurysms
Boli LIN ; Lifang CHEN ; Junwei NI ; Ting YUE ; Weijian CHEN ; Bing ZHAO ; Yongchun CHEN ; Nengzhi XIA ; Xianzhong GUO ; Yunjun YANG
Chinese Journal of Radiology 2018;52(6):415-420
Objective To investigate the incidence and predictors of cerebral infarction in patients with ruptured ACoA aneurysms, and to provide diagnostic and therapeutic information.Methods A total of 319 patients with ruptured ACoA aneurysms in our hospital from January 2009 to February 2015 were reviewed in this study. The author collected data regarding clinical characteristics, and measured the aneurysm morphologies on CTA images. Age, flow angle, vessel angle were analyzed by independent-samples t tests in patients with or without cerebral infarction. Mann-Whitney U tests were used for aneurysm size, aneurysm height, perpendicular height, neck size, size ratio, aspect ratio, aneurysm angle , World Federation of Neurosurgical Societies (WFNS) grade at admission and Fisher grade. Chi-square tests and Fisher's exact tests were used for sex, histories of hypertension, smoking and stroke, treatment modalities, anterior cerebral A1 segment configuration and angiographic vasospasm on CTA images. The multivariate logistic regression analyses were used to determine the independent risk factors of cerebral infarction using the stepwise regression method. Results Of the 319 patients, there were 253 without and 66 patients with cerebral infarction. Differences of age(53±11 vs 57±12,respectively;t=-2.415, P=0.016), Fisher grade [Ⅰ 23(9.1%), Ⅱ 27(10.7%), Ⅲ 74(29.2%), Ⅳ 129(51.0%) vs Ⅰ 1(1.5%), Ⅱ 7 (10.6% ), Ⅲ 13(19.7% ), Ⅳ 45(68.2% ), respectively;Z=-2.541, P=0.035] and treatment modalities [endovascular coil embolization 155(61.3% ), neurosurgical clipping 98(38.7% ) vs endovascular coil embolization 23(34.8%), neurosurgical clipping 43(65.2%), respectively;χ2=14.810, P<0.001] reached statistical significance. Multivariate analysis showed that Fisher grade Ⅳ(OR=10.36,95%CI 1.34-80.29, P=0.025) and neurosurgical clipping (OR=3.28, 95% CI 1.84-5.86,P<0.001)still had statistical significance. Conclusions Cerebral infarction in patients with ruptured ACoA aneurysms may be associated with Fisher grade and treatment modalities. Although there is difference between the two groups in age, it is not a predictor of the occurrence of cerebral infarction.
10.Expert Consensus for Image-guided Radiofrequency Ablation of Pulmonary Tumors (2018 Version).
Baodong LIU ; Xin YE ; Weijun FAN ; Xiaoguang LI ; Weijian FENG ; Qiang LU ; Yu MAO ; Zhengyu LIN ; Lu LI ; Yiping ZHUANG ; Xudong NI ; Jialin SHEN ; Yili FU ; Jianjun HAN ; Chenrui LI ; Chen LIU ; Wuwei YANG ; Zhiyong SU ; Zhiyuan WU ; Lei LIU
Chinese Journal of Lung Cancer 2018;21(2):76-88

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