ObjectiveTo discuss the demands for nursing knowledge among family caregivers for elderly people, in order to provide a basis for nurses to provide effective education for these people. MethodsBetween May and June 2012, a questionnaire which contained the condition of demands for nursing knowledge and the burden of care was used to investigate 1 600 family caregivers for the elderly people. ResultsThe caregivers had a demand for nursing knowledge, which may include the knowledge on medicine, disease and caregiving. The demand for knowledge was correlated with relationship between the caregivers and care recipients, health condition of the caregivers and care burden. ConclusionThe demands for nursing knowledge are higher in those who have spouse and high burden of care, without disease and symptom; we should pay more attention on them and take measures to reduce their burden of care.
Rare diseases have problems with low number of cases, low social awareness, and long time of diagnosis. “Targeted doctor” is the first step to help rare disease patients start the correct path of diagnosis and treatment. This article introduces the design of a decision-making engine for patients with rare diseases by constructing a knowledge graph of rare diseases and experts, using an intelligent question-and-answer system, and combining big data and artificial intelligence methods. This engine can perform rare disease pre-screening based on patient portraits and other information, and recommend the best visiting route to patients, thereby improving the efficiency of rare disease patients’ medical service system and enhancing the decision-making ability of rare diseases.
目的:了解铁路职工的艾滋病知识、态度和行为(KAP)的基本情况,为开展健康教育及干预措施提供依据。方法:采用整群抽样方法对530名铁路职工进行自填式问卷调查。结果:有效问卷502份。对艾滋病传播途径的认知率达到80%以上,但对艾滋病的非传播途径认知水平较低。对艾滋病治疗方面的知识较为欠缺(认知率在22.31%～57.77%)。对于安全性行为的正确认知率为48.01%,正确使用安全套的认知率为69.92%。对艾滋病感染者或患者的态度正向选择率为58.16%。不同文化程度对艾滋病态度的差异有显著性(Plt;0.01)。 结论:铁路职工艾滋病相关防治知识认知水平较低,应加强艾滋病知识、态度和行为的相关健康教育。
目的 了解社区人群对脑卒中危险因素及症状的知晓现状。 方法 随机抽样调查1 208名居民及112名医务人员的人口学特征、对危险因素及预警信号的知晓现状及其影响因素、信息来源及需求情况。 结果 90.1%、100.0%的居民及医务人员可辨识高血压是卒中的危险因素，而社区居民及医务人员对年龄、糖尿病、吸烟等危险因素的认识比例分别为65.0% 和85.0%，且对危险因素的控制策略缺乏了解。87.4%、100.0%社区居民及医务人员将一侧肢体的活动障碍作为卒中的第一大预警信号，其次为头晕、步态不稳、头痛、言语困难、视物模糊。卒中知识得分的单因素及多因素分析示：大学文化、已婚且在职的居民及高学历的医务人员对卒中信息的了解程度高。卒中信息的获取途径依次为电视、社区医生/讲堂、报纸、杂志、网络。 结论 西部城市社区人群卒中知识知晓率低，开展针对低学历医务者的卒中培训及低学历、独居及退休人员的居民讲堂是改善现状的必要途径。同时也为政府建立有效的院前早期识别及快速转诊技术提供了依据。Objective To assess the baseline knowledge of risk factors and warning signs of cerebral apoplexy in communities. Methods A total of 1 208 inhabitants and 112 medical personnel were selected by systematic sampling. The questionnaire included social-demographic data, knowledge of cerebral apoplexy risk and warning signs and influencing factors, the sources and requirement of information about cerebral apoplexy. Results Hypertension was a risk factor in 90.1% of residents and 100.0% of medical personnel. Age, diabetes and smoking were identified as the risk factor in 65.0% of medical personnel and 85.0% of residents. Medical therapy of risk factors was insufficient. The most common warning signs of cerebral apoplexy was hemiplegia, the following were vertigo, ataxia, headache, aphasia and double vision. Stepwise multiple regression analyses showed that residents who had higher educational background, spousal, workers and community worker with higher educational background had higher knowledge scores of cerebral apoplexy. The main sources of information about cerebral apoplexy were television, doctors, newspaper, magazine and network. Conclusions At present, the urban community residents in west China are lacking in knowledge about cerebral apoplexy. Going forward, targeted educational residents and medical workers should be directed at those who was highly educated, living alone, and retired. It is also provide a theoretical basis for establishing a prehospital identification and transfer treatment system based on community in developing countries.
ObjectiveTo investigate the knowledge of hypoglycemia in patients with type 2 diabetes mellitus, analyze its influential factors, and explore the measure of hypoglycemia education. MethodsA questionnaire survey was conducted with a sample of 5 961 patients with type 2 diabetes mellitus from 144 hospitals in China between April and July 2010. The investigation contents included patients' demographic data and the knowledge of hypoglycemia. ResultsThe score of the knowledge of hypoglycemia was 62.71±10.34 and the status was medium. Multiple stepwise regression analysis showed that degree of education, duration of diabetes mellitus, periodic inspection, education about diabetic complications, times of hypoglycemia were influencing factors for the knowledge of hypoglycemia (P<0.05). ConclusionThe status of the knowledge of hypoglycemia is not optimistic. Educators should pay attention to the characteristics of patients and provide a safe regiment for controlling blood sugar with a comprehensive introduction of hypoglycemia.
To address the issue of a large number of network parameters and substantial floating-point operations in deep learning networks applied to image segmentation for cardiac magnetic resonance imaging (MRI), this paper proposes a lightweight dilated parallel convolution U-Net (DPU-Net) to decrease the quantity of network parameters and the number of floating-point operations. Additionally, a multi-scale adaptation vector knowledge distillation (MAVKD) training strategy is employed to extract latent knowledge from the teacher network, thereby enhancing the segmentation accuracy of DPU-Net. The proposed network adopts a distinctive way of convolutional channel variation to reduce the number of parameters and combines with residual blocks and dilated convolutions to alleviate the gradient explosion problem and spatial information loss that might be caused by the reduction of parameters. The research findings indicate that this network has achieved considerable improvements in reducing the number of parameters and enhancing the efficiency of floating-point operations. When applying this network to the public dataset of the automatic cardiac diagnosis challenge (ACDC), the dice coefficient reaches 91.26%. The research results validate the effectiveness of the proposed lightweight network and knowledge distillation strategy, providing a reliable lightweighting idea for deep learning in the field of medical image segmentation.
ObjectiveTo investigate the knowledge and attitude of medical professionals in various regions of China on obstructive sleep apnea (OSA) and to find out the influence of sleep center setting on the above results.MethodsA self-designed questionnaire based on OSAKA questionnaire was designed. A total of 630 medical staff were investigated in 7 hospitals at different levels in various regions in China. The subjects were divided into two groups according to whether they had sleep center (including sleep monitoring room) or not. Survey data were analyzed.ResultsA total of 630 questionnaires were sent out, and 590 valid questionnaires were received, and the effective response rate was 93.65%. About half of those surveyed had sleep centers in the hospitals where they worked. There was no significant difference in three attitude problems and the choice of continuous positive airway pressure and surgical treatment between the two groups (all P>0.05). Subjects whose hospital had no sleep center were more prone to select weight loss (estimated parameters=0.513, P=0.046), no smoking and wine (estimated parameter=0.472, P=0.040), avoidance of overwork (estimated parameter=0.933, P=0.000), and drug (estimated parameter=0.802, P=0.000). The average correct rate of OSA knowledge was 45.59%±20.68%. Among them, the correct rate of response to treatment measures was the highest, and the correct rate of other knowledge points was poor. The average correct rate of total accuracy, symptoms and target organ damage in subjects whose hospital had sleep center was higher than that in subjects whose hospital had no sleep center, and there were significant differences (P=0.001, P=0.012, P=0.000). There was a positive correlation between the knowledge of OSA and their attitude towards OSA, treatment and further understanding of the knowledge (r=0.247, P=0.000).ConclusionIt is necessary to strengthen propaganda and education of OSA, and the establishment of sleep center is helpful for medical personnel to know more about OSA and to develop sleep medicine.
Objective To investigate the villagers’ cognitive degree of health knowledge in Gaolan county, Gansu province, so as to explore new methods to promote health education and spread health knowledge in rural areas. Methods Through non-random sampling methods, the questionnaires were distributed to the residents in Shagang village, Manwan village and Yanzi village, and the data were then statistically analyzed by using Epidata 3.1 and Excel 2003 softwares. Results A total of 290 questionnaires were distributed and retrieved with 100% valid rate. Only 23% of the surveyed had physical examination in the last one year; 75% thought they were lack of health knowledge; 92% would like to obtain health knowledge in regular; 86% thought lack of health knowledge was the reason of their or their relatives’ diseases; 74% obtained health knowledge by watching TV; 59% went to their village clinic first when suffering from mild symptoms of common diseases; and only 6% did exercises in their leisure time. Conclusion Most people in rural areas don’t pay enough attention to their health condition and are lack of high-quality health knowledge resources as well as consciousness of physical training. So it is not only necessary to strengthen health education, but also urgent to promote physical and mental health education in rural areas.
Methods To explore the level of delirium knowledge of geriatric nurses in Sichuan province and analyze the factors, so as to provide the basis for systematic and targeted knowledge training on delirium and clinical management. Methods Using the self-designed “the Questionnaire of Elderly Delirium Knowledge”, geriatric nurses from 22 hospitals in Sichuan province were investigated through a convenient sampling method from September 2018 to February 2019. Results A total of 475 geriatric nurses were investigated. The average delirium knowledge score of the 475 geriatric nurses was 69.51±12.42. Multiple linear regression analysis showed that the main factors affecting the score of delirium-related knowledge were the education of nurses (P=0.037), technical title (P<0.001), years of working in the geriatric department (P=0.001), and the level of working hospital (P=0.001). Conclusions The level of delirium knowledge of geriatric nurses is low and can not meet the needs of clinical work. Nursing managers should carry out delirium knowledge training according to the different characteristics of nurses.
ObjectiveTo understand the levels of and influencing factors for knowledge of earthquake in the elderly population. MethodPeople who were older than 60 years in the earthquake area of Sichuan Province were surveyed by self-designed earthquake knowledge scale composed of 6 items with a point of 1-5 for each item between October and November 2013. The total score ranged from 6 to 30 points. ResultsUp to 1 509 elderly people participated the survey. The total score of earthquake knowledge was 13.33±4.85. The main resource for acquiring those knowledge was TV (76.87%). Occupation, education level, residency, marital status, residence, self-injury, health status, access to earthquake knowledge, and worrying about earthquake were related factors for their knowledge on earthquake (P<0.05). Regression analysis showed that the higher degree of education, having a spouse, living in city, more access to earthquake knowledge, worrying about earthquake were the promotion factors for earthquake knowledge preparedness. Self-injury, poor health were the factors that hindered the acquiring of earthquake knowledge preparedness. ConclusionsIt is necessary to train knowledge of earthquake for elderly people individually because they lack enough resources and tend to be affected by many factors.