Developing a clinical prediction rule for hospital-acquired Clostridium difficile infection to enable inter-institution comparisons of incidence rates and promote quality improvement

制定医院获得性艰难梭菌感染的临床预测规则，以实现机构间发病率比较并促进质量改进

• 批准号: 229540
• 负责人: Brown Kevin A
• 金额: $ 7.65万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Studentship Programs
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-10-01 至 2013-10-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=229540&lang=en
• 关键词: Clinical Prediction Rule; Clostridium Difficile Infection (Cdi); Health Services Research / Patient Safety; Hospital Quality Monitoring; Hospital-Aquired Infections; Mathematical Models / Infectious Disease Dynamics; Medico-Administrative Data; Multilevel

Clostridium difficile, a bacterium that causes diarrhea, is the largest single cause of death among hospital-acquired infections. The 5,000 cases that occur annually in Ontario are directly linked to the deaths of an estimated 150 patients each year. Pa

艰难梭菌是一种引起腹泻的细菌，是医院获得性感染中最大的单一死因。安大略每年发生的5,000例病例与估计每年150名患者的死亡直接相关。 Pa