ObjectiveTo understand the self management status of patients with ankylosing spondylitis (AS). MethodsSixty inpatients and outpatients with AS in the Department of Rheumatology between December 2011 and December 2012 were selected as the study subjects by judgment sampling method. A self-made questionnaire was used for investigation. ResultsThe self-management skills of 10.0% of the patients were poor, 78.3% were moderate and 11.7% were fine. The self-management skills of functional training and keeping healthy lifestyle were relatively poor. The factors with a score from the highest to the lowest were:the mental self-management, symptom management, keeping healthy lifestyle, and the self-management of functional training. ConclusionsThe self-management skills of patients with ankylosing spondylitis range from moderate to relatively poor. Our results suggest that cultural factors and the course of disease may be the main influence factors for self-management skills of patients. Clinical medical personnel should know the situation of patients sufficiently, improve the processes of health education and take corresponding intervention measures to the lack of self management ability. By the above ways, we can improve the compliance obedience and the self-management skills of patients, then the patients' condition and living quality will be greatly improved.
ObjectiveTo explore the effect of self-made urine volume record sheet and health education on urine volume monitoring in general ward. MethodsA total of 110 hospitalized patients between February and July 2015 were selected to be our study subjects. The patients were divided into control group (n=42) and trial group (n=68) according to the time period. The control group used conventional urine volume record and accepted common health education, while the trial group received a self-made urine volume 24-hour record sheet with health knowledge and accepted special health education about urine volume by nurses. Then, we investigated the two groups with a questionnaire about urine volume, and analyzed the acquired data and compared the knowledge of the two groups. ResultsThe knowledge of urine volume and the performance of urine volume record in the trial group were significantly better than the control group (P<0.05). In the control group, the difference in knowledge of aim and singnificance of urine record between the two genders was sigrificant (P<0.05). (the males were better than the females); and was also significant among patients with different educational levels (P<0.05). (the people with college or superior degree was the best, while the ones with primary school education or inferior level was the poorest). ConclusionUsing the self-made urine volume record sheet with health knowledge and strengthening the special health education about urine volume can improve the knowledge awareness of the patients and their families, promote the monitoring of patients’ urine, train patients’ self-care awareness, and improve patients’ prognosis.
Objective To use bibliometrics to identify research hotspots and emerging trends in the use of artificial intelligence (AI) in healthcare-associated infections (HAI), as well as to offer a resource for more relevant research. Methods The literature on AI and HAI from the Science Citation Index Expanded database of the Web of Science Core Collection was retrieved through computer searches, covering the period from January 1, 1994, to January 22, 2024. VOSviewer (v1.6.19) and CiteSpace (v6.1. R6) software were utilized for bibliometric analysis, creating knowledge maps that include research cooperation networks and keyword analysis. Results A total of 305 documents were included, and both the number of early publications and the frequency of citations were at a very low level for a long time before showing an annual increase trend after 2018. The United States had the most published documents among the 50 countries/regions from where they were sourced. Harvard University was the scientific research institution with the most publications, while Professor Evans HL of the Medical University of South Carolina was the scholar with the most publications. Research on AI in the field of HAI primarily focused on three aspects: AI algorithms and technologies, monitoring and prediction of HAI, and the accuracy of HAI diagnosis and prediction. These findings were based on keyword co-occurrence and clustering analysis. Conclusions A new phase of AI research in the subject of HAI has begun. More in-depth research can be done in the future for the hot direction, as there is still a gap between China’s academic accomplishments in this subject and the advanced level of the world.
Coronavirus disease 2019 (COVID-19) is highly contagious, and the route of transmission is dominated by respiratory droplets and contact transmission. At present, the disease prevention and control are difficult. In order to prevent and control COVID-19 and prevent its spread in the hospital, West China Hospital of Sichuan University has set up isolation wards in the center of infectious diseases. The work norms for isolation ward were formulated. This may help to strengthen the prevention and treatment of COVID-19, effectively control the epidemic situation, as well as protect the health and safety of the public and medical staff. This article introduces the specific settings, diagnosis and treatment specifications, and hospital infection prevention and control strategies of the isolation ward of West China Hospital of Sichuan University, shares the work experience of isolation wards, aims to provide a reference for other hospitals to effectively prevent the spread of COVID-19 in hospitals and curb the spread of COVID-19.