1.Effect of Quality Control Circle on the Reasonable Ratio of Emergency Orthopedics Prescriptions
Xi CHENG ; Lei XI ; Ziming QIAN ; Tong YIN ; Yongwu CHEN ; Chenxia DU ; Hechun JIANG ; Zhangbao WU ; Tianlu SHI
China Pharmacist 2016;19(5):949-951
Objective:To study the effect of quality control circle(QCC)on the reasonable ratio of clinical prescriptions. Methods:The dispensed prescriptions in orthopedic emergency department were reviewed in our hospital,and the reasons of unreasonable prescriptions were analyzed. According to the QCC technique,the activities were implemented,the standardized work process was made out and the results were studied. Results:After the six-month QCC activities,the unreasonable ratio of emergency orthopedics prescriptions was reduced from 70% to 21% ,and the target yield rate was 140% and the improvement rate was 70% . Conclusion:The QCC has obvious effect on the improvement of reasonable ratio of emergency orthopedics prescriptions.
2.Correlation Between Sleep Status and TCM Constitution Types in Escort Troops
Fengzhi WU ; Feng LI ; Jie MA ; Xicheng YU ; Ruqing XIE ; Yuehan SONG ; Weifeng WANG ; Meng MAO ; Chenxia HAN ; Siyuan GUO ; Xi YANG
Chinese Journal of Information on Traditional Chinese Medicine 2014;(6):24-26
Objective To explore the correlation between TCM constitution and sleep status in escort troops. Methods Standardized TCM Constitution Questionnaire and Pittsburgh Sleep Quality Index (PSQI) were used to investigate escort troops. Factors of PSQI and constitution types were analyzed. Results The results of PSQI showed the number of escort troops who had bad sleeping (PSQI>7) was 64, which accounted for 46%of the escort troops, among which, 45 people (70.3%) were justified as biased constitution, while 19 were normal constitution (29.7%). The top three biased constitution in bad sleeping were:qi deficiency, phlegm-dampness and dampness-heat. PSQI factors such as sleep disorder, daytime dysfunction and total score had positive correlation with qi deficiency, yang deficiency, yin deficiency, dampness-heat and blood stasis, and negative correlation with normal constitution. Conclusion Sleep condition of escort troops has correlation with TCM constitution, which indicates that sleep status could be improved by regulating TCM constitution.
3.Effects of internet plus management based on AISAS mode on health-promoting lifestyles in young and middle-aged patients with hypertension
Xiaohong YI ; Linlin YUAN ; Liqun LI ; Chenxia XI
Chinese Journal of Health Management 2024;18(8):593-600
Objective:To explore the effects of “Internet plus” management based on attention-interest-search-action-share (AISAS) mode on health-promoting lifestyles in young and middle-aged patients with hypertension.Methods:A prospective randomized controlled trial was used by this study, 212 young and middle-aged patients with hypertension from Cardiovascular Medicine Department of the First Affiliated Hospital of Nanchang University were divided into"Internet plus"management group and routine management group according to the random number table method between January 2021 and January 2023, 106 cases in each group. The regular management group were given regular management intervention, and the “Internet plus” management group were used the “Internet plus” management model intervention based on the AISAS model, each lasting 12 months. All patients were intervened for 12 months. At 1d before discharge, 6 months and 12 months after discharge, health-promoting lifestyles were evaluated by Chinese version of Health Promotion Lifestyle Scale (HPLP-IIC), quality of life were evaluated by the 36-item shot-form health status survey (SF-36), and treatment compliance were evaluated by therapeutic adherence scare for hypertensive patients (TASHP).Results:With discharge time, scores of HPLP-IIC, SF-36 and TASHP were significantly increased in both groups (all P<0.05). At 6 and 12 months after discharge, the scores of HPLP-IIC [(117.58±16.43) and (134.37±20.25) points], SF-36 [(79.58±5.43) and (84.37±3.25) points] and TASHP [(101.84±6.32) and (115.37±4.25) points] in “Internet plus” management group were significantly higher than those in routine management group [HPLP-IIC: (96.25±13.74) and (108.05±14.73) points, SF-36: (61.25±5.09) and (78.05±4.37) points, TASHP: (81.05±5.37) and (94.68±3.37) points] (all P<0.001), while systolic blood pressure (SBP) [(128.52±4.02) and (126.81±2.34) mmHg (1 mmHg=0.133 kPa)] and diastolic blood pressure (DBP) [(81.84±6.32) and (79.37±4.25) mmHg] were significantly lower than those in routine management group [SBP: (133.09±5.16) and (133.35±2.57) mmHg, DBP: (85.68±7.15) and (86.05±5.37) mmHg](all P<0.001). And, decrease of SBP [6 months: (-4.43±1.19) and (-6.14±2.01) mmHg] and DBP [6 months: (-3.75±1.71) and (-6.22±2.38) mmHg] in “Internet plus” management group were significantly higher than those in routine management group [SBP: (-1.28±0.75) and (-1.02±0.26) mmHg; DBP: (-1.05±0.62) and (-0.68±0.29) mmHg](all P<0.001). Conclusion:The “Internet plus” management based on AISAS mode can control blood pressure by improving the lifestyle, compliance and quality of life of young and middle-aged hypertensive patients.
4.An artificial intelligence-based system for measuring the size of gastrointestinal lesions under endoscopy (with video)
Jing WANG ; Xi CHEN ; Lianlian WU ; Wei ZHOU ; Chenxia ZHANG ; Renquan LUO ; Honggang YU
Chinese Journal of Digestive Endoscopy 2022;39(12):965-971
Objective:To develop an artificial intelligence-based system for measuring the size of gastrointestinal lesions under white light endoscopy in real time.Methods:The system consisted of 3 models. Model 1 was used to identify the biopsy forceps and mark the contour of the forceps in continuous pictures of the video. The results of model 1 were submitted to model 2 and classified into open and closed forceps. And model 3 was used to identify the lesions and mark the boundary of lesions in real time. Then the length of the lesions was compared with the contour of the forceps to calculate the size of lesions. Dataset 1 consisted of 4 835 images collected retrospectively from January 1, 2017 to November 30, 2019 in Renmin Hospital of Wuhan University, which were used for model training and validation. Dataset 2 consisted of images collected prospectively from December 1, 2019 to June 4, 2020 at the Endoscopy Center of Renmin Hospital of Wuhan University, which were used to test the ability of the model to segment the boundary of the biopsy forceps and lesions. Dataset 3 consisted of 302 images of 151 simulated lesions, each of which included one image of a larger tilt angle (45° from the vertical line of the lesion) and one image of a smaller tilt angle (10° from the vertical line of the lesion) to test the ability of the model to measure the lesion size with the biopsy forceps in different states. Dataset 4 was a video test set, which consisted of prospectively collected videos taken from the Endoscopy Center of Renmin Hospital of Wuhan University from August 5, 2019 to September 4, 2020. The accuracy of model 1 in identifying the presence or absence of biopsy forceps, model 2 in classifying the status of biopsy forceps (open or closed) and model 3 in identifying the presence or absence of lesions were observed with the results of endoscopist review or endoscopic surgery pathology as the gold standard. Intersection over union (IoU) was used to evaluate the segmentation effect of biopsy forceps in model 1 and lesion segmentation effect in model 3, and the absolute error and relative error were used to evaluate the ability of the system to measure lesion size.Results:(1)A total of 1 252 images were included in dataset 2, including 821 images of forceps (401 images of open forceps and 420 images of closed forceps), 431 images of non-forceps, 640 images of lesions and 612 images of non-lesions. Model 1 judged 433 images of non-forceps (430 images were accurate) and 819 images of forceps (818 images were accurate), and the accuracy was 99.68% (1 248/1 252). Based on the data of 818 images of forceps to evaluate the accuracy of model 1 on judging the segmentation effect of biopsy forceps lobe, the mean IoU was 0.91 (95% CI: 0.90-0.92). The classification accuracy of model 2 was evaluated by using 818 forceps pictures accurately judged by model 1. Model 2 judged 384 open forceps pictures (382 accurate) and 434 closed forceps pictures (416 accurate), and the classification accuracy of model 2 was 97.56% (798/818). Model 3 judged 654 images containing lesions (626 images were accurate) and 598 images of non-lesions (584 images were accurate), and the accuracy was 96.65% (1 210/1 252). Based on 626 images of lesions accurately judged by model 3, the mean IoU was 0.86 (95% CI: 0.85-0.87). (2) In dataset 3, the mean absolute error of systematic lesion size measurement was 0.17 mm (95% CI: 0.08-0.28 mm) and the mean relative error was 3.77% (95% CI: 0.00%-10.85%) when the tilt angle of biopsy forceps was small. The mean absolute error of systematic lesion size measurement was 0.17 mm (95% CI: 0.09-0.26 mm) and the mean relative error was 4.02% (95% CI: 2.90%-5.14%) when the biopsy forceps was tilted at a large angle. (3) In dataset 4, a total of 780 images of 59 endoscopic examination videos of 59 patients were included. The mean absolute error of systematic lesion size measurement was 0.24 mm (95% CI: 0.00-0.67 mm), and the mean relative error was 9.74% (95% CI: 0.00%-29.83%). Conclusion:The system could measure the size of endoscopic gastrointestinal lesions accurately and may improve the accuracy of endoscopists.