ObjectiveTo develop Knowledge attitude behavior and practice (KABP) health education path table, and to explore its application in health education of physician-nurse collaboration for children with epilepsy, and provide practical reference for health education of children with epilepsy.MethodsA convenient sampling method was used to select 94 family units of children with epilepsy and their main caregivers from the Department of Neurology in Hunan Children’s Hospital from September 2018 to March 2019. Divided into observation group and control group, 47 cases in each group. In the control group, the health care education was carried out by the conventional method of medical personnel’s one-way input of knowledge. The observation group conducted health education through interactive participation in the path of the health education path of KABP on the basis of regular health education. Then compared the effect of the health education between the two groups.ResultsAfter the intervention, the quality of life scores of the observation group were significantly higher than the control group (P<0.01). The relevant knowledge scores of main caregivers at 1 and 3 months after discharge were significant higher than those in the control group (P=0.008, P=0.001). The medication compliance scores of children with epilepsy at 1 and 3 months after discharge were significant higher than those in the control group (P=0.010, P=0.006).ConclusionsThe KABP health education pathway can improve the knowledge level of caregivers, as well as the medication compliance and quality of life of children with epilepsy.
Objective
To investigate the status of the knowledge, attitudes and intervention behaviors in medical professionals in the prevention and treatment of deep vein thrombosis (DVT), and explore the weak links in knowledge-attitude-practice of DVT.
Methods
From December 2017 to February 2018, a convenient sampling method was used to extract 158 medical professionals out of 204 medical professionals from Department of Orthopedics, West China Hospital of Sichuan University. The questionnaire included the general information and basic situation of DVT learning, the knowledge of DVT, intervention attitude and implementation of preventive measures. The survey involved orthopedic doctors, nurses, rehabilitation therapists and nutrition managers.
Results
A total of 158 questionnaires were distributed and 150 valid questionnaires were completed. The effective questionnaire recovery rate was 94.9%. The mean score of basic knowledge of DVT was 6.45±1.83, the mean score of risk factors was 13.29±3.38, the mean score of intervention attitudes was 9.57±0.78, and the mean score of prevention implementation was 23.33±5.85.
Conclusions
The knowledge-practice of DVT intervention in orthopedic medical staff is moderate, and the attitude of DVT intervention is better among medical staff. There are various characteristics and weaknesses in knowledge-practice. It is necessary to regularly carry out knowledge about DVT among medical staff to improve the professional level of medical staff to prevent and treat DVT.
As evidence-based practice (EBP) continues to be valued, the guideline implementation has become an important field for research and practice in health care. In order to better guide the guideline implementation in the field of health care, this paper combines the EBP experience gained from several EBP programs carried out in our hospital those years, in aim of exploring and sharing the methodology of guideline implementation in domestic clinical settings.
ObjectiveTo interpret the intervention description and reporting standards (TIDieR), and further present the domestic and international application status of TIDieR based on knowledge graphs. And to provide references and inspirations for standardized reporting of intervention studies. MethodsTIDieR-related literature published in Chinese and English databases such as CNKI, WanFang Data, PubMed, and Web of Science was searched from 2014 to 2024, and visual analysis was conducted using CiteSpace6.3.R1 bibliometric software. ResultsTIDieR consisted of 12 entries, including abbreviated intervention name, implementation rationale, implementation materials, implementation process, implementer, implementation method, implementation site, implementation time and intensity, personalized plan, plan changes, expected effects, and actual effects. The bibliometric analysis included 94 English-language papers and 5 Chinese-language papers. The application of TIDieR was relatively widespread overseas, mainly involving health care, rehabilitation, and digital health fields. ConclusionTIDieR can ensure the standardization and reproducibility of intervention research reports. However, domestic scholars still apply TIDieR less frequently. It is necessary to gradually promote and strengthen the application of TIDieR in future intervention studies, thereby improving the transparency and quality of intervention research reports.
ObjectiveTo investigate the knowledge related to evidence-based medicine (EBM) in the medical students of Hubei University of Medicine using a cross-sectional survey approach.
MethodsWe conducted an investigation on 600 medical students (extracted by stratified random sampling) from different majors and different grades who were at school using a pre-designed questionnaire from May 10th to May 12th, 2013. The data were analyzed with Microsoft Excel 2007.
ResultsA total of 545 valid questionnaires were recovered with an effective recovery rate of 90.8%. The results showed that 58.5% of the participants heard of EBM for the first time or once heard of it but knew nothing; 38.2% had learnt some knowledge about EBM. However, only 3.3% were familiar with it; all the participants suggested EBM teaching should be performed.
ConclusionThe knowledge related to EBM in the medical students of Hubei University of Medicine is low. However, their study attitude towards EBM is pretty good. The level of EBM teaching needs to be improved.
ObjectivesTo investigate the knowledge, attitude and practice (KAP) of hepatitis E among Anlu residents and to identify the influencing factors.MethodsA stratified random sampling method was used and 1 840 Anlu residents were recruited between March 2019 and September 2019. Chi-square test and multivariate logistic regression model were used to analyze the influencing factors by SPSS 22.0 software.ResultsThe overall awareness rate of residents was 36.32%. There were statistically significant differences in age, occupation category and education (P<0.05). Qualification rate of awareness increased with age until age 40, but not with age after 40. Individuals occupationally exposed to swines (swine breeders, sales staff, slaughterers) had the lowest rates. Education level was positively associated with the qualification rate of awareness. The overall positive attitude rate was 53.89%. The overall healthy behavior rate was 82.95%.ConclusionsThe overall knowledge and awareness of hepatitis E among Anlu residents is low, especially individuals who have been occupationally exposed to swines. Health education and promotion programs are necessary.
Testing Treatments is a book to help the public understand how to validate the efficacy of testing treatments and the possible bias and error in clinical trial, as well as to call for help to promote good study thus to improve the quality of health care. No matter for the first or the second edition, this book is very popular around the world, and its second edition has been translated into more than ten languages. To help the readers understand the content of the book, we established a website (www.testingtreatments.org) and other sibling sites in different languages. The website not only provided the full-texts to download, but also collected various popular science resources (videos, audios and cartoons) to help the readers assimilate more knowledge. The editors of all the different language websites have established an TTi Editorial Alliance to share experience and provide each other with mutual support, thus to promote health professionals, patients and public around the world to use reliable research to inform their health decisions.
In order to meet the rapid development of in-vitro diagnostic reagent (IVD) market and the development needs of laboratory medicine, and ensure efficient management and cost control in IVD purchasing, it is necessary to build the purchasing management standard, improve the purchasing quality of IVD, reduce the overall hospital costs, and ensure the accuracy and reliability of clinical test results. Through three aspects: the preparation before business negotiation, business negotiation, and execution after business negotiation, this article clarifies the self-bidding procurement process of IVD, and emphasizes the importance of knowledge in IVD procurement management, so as to provide references and suggestions for novice buyers to get familiar with the business quickly and improve their negotiation ability.
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.
Objective To learn and analyse the current clinicians’ knowledge and attitudes towards patient safety, and to provide relevant evidence for future medical education. Method We conducted a survey on clinicians mainly in West China Hospital of Sichuan University with group random sampling method. We analysed the data on the clinicians’ knowledge and attitudes with SPSS softerware. Result Totally 300 questionnaires were distributed, of which 258 were completed adequately. The results showed the clinicians’ knowledge on patient safety was poor, however, the respcnse from the clinicians in Outpatient Department were better than those in Inpatient Department. The majority of the clinicians (above 95.00%) were willing to learn the knowledge of patient safety. Conclusion As the clinicians are willing to learn the knowledge of patient safety positively, it is necessary to integrate patient safety education into the current medical education curriculum.
