澳大利亚昆士兰州医疗保健相关感染监测专家共识和建议:修改后的Delphi研究
Jessica A Schults1, Sally M Havers2, Belinda C Henderson3
1Herston Infectious Diseases Institute, Metro North Health, Brisbane, Queensland, Australia; The University of Queensland, School of Nursing, Midwifery and Social Work, St Lucia and Centre for Clinical Research, Herston, Queensland, Australia; Child Health Research Centre, University of Queensland, South Brisbane, Queensland, Australia.
American journal of infection control
|March 6, 2025
概括
为改善昆士兰州的医疗保健相关感染 (HAI) 监测和报告,开发了一套标准化的13项最低数据集. 这旨在简化复杂的协议,并为有针对性的预防策略提供信息.
科学领域:
- 传染病流行病学 传染病流行病学
- 公共卫生监督是对公共卫生的监督.
- 改善医疗保健质量 改善医疗保健质量
背景情况:
- 医疗保健相关感染 (HAI) 在澳大利亚占疾病负担的很大一部分.
- 昆士兰州现有的监控协议是多样化和复杂的.
- 需要采用标准化的方法来收集和报告HAI监控数据.
研究的目的:
- 定义一个最低的数据集,用于公开报告昆士兰州的HAI监控数据.
- 为了简化和标准化HAI监控协议在全州.
- 为有针对性的预防工作提供有效的数据聚合.
主要方法:
- 一个经过修改的两轮Delphi研究,涉及感染控制专业人员和传染病医生.
- 第一个轮:专家使用利克特尺度对36项HAI措施进行了评价,以确定其重要性,可行性和有用性.
- 第二轮:由14名专家组成的小组在13项措施的最终数据集上达到了≥70%的共识.
主要成果:
- 在第1轮中,有17项HAI措施达到重要,有用和可行性的预定义值.
- 最终的13项最低数据集包括血液感染,选择的手术部位感染和显著生物的测量.
- 在这些关键HAI指标的标准化定义上达成共识.
结论:
- 为昆士兰州的HAI监测成功开发了一套具有标准化定义的13项最低数据集.
- 这一数据集将支持统一的,全州范围的HAI监测和报告.
- 标准化数据将使更有效的聚合成为可能,并为有针对性的HAI预防活动提供信息.
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