1.Development and practice of IT-based intelligent transport systems for hospitals
Changgui CHEN ; Junfang XUAN ; Fangjia XUAN ; Wei ZHOU ; Xiaohua HUANG
Chinese Journal of Hospital Administration 2018;34(3):201-203
Under the mission of "patient safety first",this paper discussed the development of a hospital intelligent transport system by means of information technology, and its successful practice in the hospital.Information technology,internet of things, "internet plus"concept, and intelligent platform can provide logistic transport services of high efficiency and quality, and achieve the development of hospital meticulous management and intelligent medical logistics in China.
2.Research on the status and risk factors of cognitive function among nursing home population in Changning District, Shanghai
Hui GAO ; Lei ZHANG ; Fangjia ZHOU ; Li YU ; Yu JIANG ; Qinghua XIA
Journal of Public Health and Preventive Medicine 2024;35(3):68-72
Objective To investigate the prevalence and risk factors of cognitive impairment in the nursing home population in Changning District, Shanghai. Methods In this study, random cluster sampling method was used to select 570 elderly people from 5 nursing homes in Changning District. Multivariate logistic regression was used to analyze the risk factors influencing cognitive function. Results The total prevalence of cognitive impairment in Changning nursing home population was 22.5%. The prevalence rates of ≤80 and >80 age groups were 16.8% and 23.9%, respectively, and the prevalence rates of men and women were 19.2% and 23.9%, respectively. Multivariate analysis showed that age ≥ 80 years old (OR=1.839, 95% CI: 1.045~3.235), no habit of reading book or newspaper (OR=2.087, 95%CI: 1.282~3.398), limitation of daily activity ability (OR=1.577, 95% CI: 1.023~2.431), and having depressive symptoms (OR=2.809, 95% CI: 1.840~4.288) were all influencing factors for cognitive impairment. Conclusion More than one fifth of elderly people in nursing homes in Changning District have symptoms of cognitive impairment. It is necessary to carry out routine cognitive assessment and appropriate cognitive intervention for the nursing home population to reduce the health and economic losses caused by cognitive impairment.
3.Analysis of influencing factors for injury incidence among primary and middle school students in Changning District, Shanghai
Hui GAO ; Lei ZHANG ; Yuanqiao SUN ; Li YU ; Fangjia ZHOU ; Lei QIAN ; Yun ZHANG ; Yuhua LI ; Yu JIANG ; Qinghua XIA
Shanghai Journal of Preventive Medicine 2022;34(2):154-156
Objective To investigate the prevalence and risk factors of injury among both primary and middle school students in Changning District, Shanghai, and to provide evidence for injury prevention. Methods In 2018, data of basic characteristics and injury-related factors were obtained through field questionnaire survey among the selected primary and middle schools (2 of each). Results The study finally included 1 821 students, with injury incidence rate of 30.1%. Among them, the injury incidence rate for the primary schools was 32.0%, and 28.8% for the middle schools. The top three injury types were falls, sharps injuries, and blunt injuries. Age, gender, myopia, and injury-related knowledge/behaviors were significantly related to injury incidence. Conclusion Falls should still be the priority of injury prevention for primary/middle school students in Changning District. The effect of reducing injuries can be achieved by improving health education about injury-related knowledge/behaviors.
4.Survey on the home environmental hazards related to falls of the elderly in Changning District, Shanghai
Qianqian ZHAO ; Lei ZHANG ; Yan YU ; Hui GAO ; Fangjia ZHOU ; Li YU ; Yu JIANG ; Qinghua XIA
Journal of Public Health and Preventive Medicine 2024;35(4):58-61
Objective To investigate the current situation of home environment safety of the elderly in Changning District, identify the risk factors related to the fall of the home environment of the elderly, and take targeted rectification measures, so as to create a safer environment for the elderly. Methods A phased random sampling method was used to select 201 elderly households from 10 streets in Changning District. Community doctors conducted on-the-spot investigation and assessment to collect information, and Epidata3.1 was used to input data and SAS 9.2 was used for statistical analysis. Results The incidence of falls in the past year was 19.90%, and the score of environmental risk factors/the number of environmental risk factors in each family ranged from 0 to 25, with an average of 9 items (standard deviation of 4.71). The results of multivariate logistic regression analysis show that the high level of falling environment (the number of falling risk factors in home environment ≥12) is still an independent risk factor for falls of the elderly, except for the influence of age and the number of drugs taken (OR=3.835, 95% CI:1.718-8.561). Conclusion The environmental risk factors causing falls are common in the home environment of the elderly in the community. It is necessary to focus on improving the home environment, reducing the risk of falls for the elderly, and creating a safe and comfortable home environment for the elderly.