Introduction: Wise prescription of antibiotics is an ethical duty of physicians in view of rising antimicrobial resistance in the community, it should be balanced between the health requirements of the patients and re...Introduction: Wise prescription of antibiotics is an ethical duty of physicians in view of rising antimicrobial resistance in the community, it should be balanced between the health requirements of the patients and resulting long-term antibiotics resistance. Overuse of antimicrobials is a major cause of emerging resistance to antimicrobials. There are multiple factors in the community that influence the physician’s antibiotic prescriptions. Methods: This is a systematic case-control study on antibiotics prescription for paediatric patients attending Latifa Hospital for Women and Children (LWCH), Dubai Health Authority, to know the effects of behavioral interventions on rates of inappropriate antimicrobials prescription by doctors in the Paediatric Emergency Department. Results: The results of our study showed the effectiveness of behavioral insights by peer comparison in antibiotic use among paediatricians in Latifa Hospital had a statistical significance (P = 0.0038). The rate of the prescription decreased from 41% to 21%, a difference of 20%. Conclusion: The study concluded behavioural intervention is an effective measure in reducing the improper prescription of antibiotics in the hospital setting.展开更多
As social media and online activity continue to pervade all age groups, it serves as a crucial platform for sharing personal experiences and opinions as well as information about attitudes and preferences for certain ...As social media and online activity continue to pervade all age groups, it serves as a crucial platform for sharing personal experiences and opinions as well as information about attitudes and preferences for certain interests or purchases. This generates a wealth of behavioral data, which, while invaluable to businesses, researchers, policymakers, and the cybersecurity sector, presents significant challenges due to its unstructured nature. Existing tools for analyzing this data often lack the capability to effectively retrieve and process it comprehensively. This paper addresses the need for an advanced analytical tool that ethically and legally collects and analyzes social media data and online activity logs, constructing detailed and structured user profiles. It reviews current solutions, highlights their limitations, and introduces a new approach, the Advanced Social Analyzer (ASAN), that bridges these gaps. The proposed solutions technical aspects, implementation, and evaluation are discussed, with results compared to existing methodologies. The paper concludes by suggesting future research directions to further enhance the utility and effectiveness of social media data analysis.展开更多
文摘Introduction: Wise prescription of antibiotics is an ethical duty of physicians in view of rising antimicrobial resistance in the community, it should be balanced between the health requirements of the patients and resulting long-term antibiotics resistance. Overuse of antimicrobials is a major cause of emerging resistance to antimicrobials. There are multiple factors in the community that influence the physician’s antibiotic prescriptions. Methods: This is a systematic case-control study on antibiotics prescription for paediatric patients attending Latifa Hospital for Women and Children (LWCH), Dubai Health Authority, to know the effects of behavioral interventions on rates of inappropriate antimicrobials prescription by doctors in the Paediatric Emergency Department. Results: The results of our study showed the effectiveness of behavioral insights by peer comparison in antibiotic use among paediatricians in Latifa Hospital had a statistical significance (P = 0.0038). The rate of the prescription decreased from 41% to 21%, a difference of 20%. Conclusion: The study concluded behavioural intervention is an effective measure in reducing the improper prescription of antibiotics in the hospital setting.
文摘As social media and online activity continue to pervade all age groups, it serves as a crucial platform for sharing personal experiences and opinions as well as information about attitudes and preferences for certain interests or purchases. This generates a wealth of behavioral data, which, while invaluable to businesses, researchers, policymakers, and the cybersecurity sector, presents significant challenges due to its unstructured nature. Existing tools for analyzing this data often lack the capability to effectively retrieve and process it comprehensively. This paper addresses the need for an advanced analytical tool that ethically and legally collects and analyzes social media data and online activity logs, constructing detailed and structured user profiles. It reviews current solutions, highlights their limitations, and introduces a new approach, the Advanced Social Analyzer (ASAN), that bridges these gaps. The proposed solutions technical aspects, implementation, and evaluation are discussed, with results compared to existing methodologies. The paper concludes by suggesting future research directions to further enhance the utility and effectiveness of social media data analysis.