1.Reform and practice of analytical chemistry curriculum based on work process
Rongxiu XING ; Qian YU ; Junrong CHEN
Chinese Journal of Medical Education Research 2006;0(07):-
The analytical chemistry is the specialized fundamental course of medical laboratory major.To the higher vocational students,it is an experiment operation technique,so to introduce the pattern based on the work process curriculum is helpful to the deconstruction and reorganization of analytical chemistry curriculum,and can stimulate students'study interest enormously and get good teaching effect.
2. Investigation and research on nursing process based on industrial engineering theory
Shuling ZHOU ; Tingting ZHANG ; Yanling SUN ; Huafu ZHANG ; Rongxiu CHEN ; Xinhua XIA
Chinese Journal of Practical Nursing 2019;35(13):1019-1026
Objective:
To explore the current status of nursing work process in Tianjin Third Grade A General Hospital, to interpret the available space of nursing human resources, and to find new ideas for configuration and optimization.
Methods:
According to the industrial engineering theory and program analysis method, combined with the characteristics of nursing professional, define the name of the activity, build the evaluation index and formula of the nursing process level, the workday practice method was used to investigate and analyze the nurses′ work processes in a total of 48 departments in four hospitals in Tianjin.
Results:
The overall nursing process level of Tianjin Third Grade A General Hospital was:
3.Longitudinal extrauterine growth restriction in extremely preterm infants: current status and prediction model
Xiaofang HUANG ; Qi FENG ; Shuaijun LI ; Xiuying TIAN ; Yong JI ; Ying ZHOU ; Bo TIAN ; Yuemei LI ; Wei GUO ; Shufen ZHAI ; Haiying HE ; Xia LIU ; Rongxiu ZHENG ; Shasha FAN ; Li MA ; Hongyun WANG ; Xiaoying WANG ; Shanyamei HUANG ; Jinyu LI ; Hua XIE ; Xiaoxiang LI ; Pingping ZHANG ; Hua MEI ; Yanju HU ; Ming YANG ; Lu CHEN ; Yajing LI ; Xiaohong GU ; Shengshun QUE ; Xiaoxian YAN ; Haijuan WANG ; Lixia SUN ; Liang ZHANG ; Jiuye GUO
Chinese Journal of Neonatology 2024;39(3):136-144
Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.
4.A Survey of the Current Status of Surgical Treatment of Hemophilic Osteoarthropathy in China Mainland 17 Grade A General Hospitals
Yiming XU ; Huiming PENG ; Shuaijie LYU ; Peijian TONG ; Hu LI ; Fenyong CHEN ; Haibin WANG ; Qi YANG ; Bin CHEN ; Zhen YUAN ; Rongxiu BI ; Jianmin FENG ; Wenxue JIANG ; Zongke ZHOU ; Meng FAN ; Xiang LI ; Guanghua LEI ; Xisheng WENG
JOURNAL OF RARE DISEASES 2023;2(4):516-522