一种多模式的抗微生物管理干预措施,以改善COVID-19患者的抗生素处方
Shaylee Anderson1, Nicholas Bennett2, Laura Aragon2
1University of Utah, Salt Lake City, UT, USA.
Antimicrobial stewardship & healthcare epidemiology : ASHE
|November 29, 2023
概括
实施电子医疗记录临床决策支持和审计减少了COVID-19患者的抗生素暴露. 这种管理干预措施在住院第一周内显著降低了抗生素的使用量.
科学领域:
- 传染性疾病 传染性疾病
- 医疗信息学 医疗信息学
- 抗微生物药物管理委员会
背景情况:
- COVID-19 治疗通常涉及抗生素,增加了抗菌素耐药性的风险.
- 在住院患者中优化抗生素的使用对于患者的治疗结果和公共健康至关重要.
- 与电子医疗记录集成的临床决策支持系统为改善抗菌药物管理提供了潜力.
研究的目的:
- 评估多式调节管理干预对COVID-19患者抗生素暴露的影响.
- 评估在实施基于电子医疗记录的临床决策支持和前性审计后,抗生素处方模式的变化.
- 确定这种干预措施在减少不必要的抗生素使用方面的有效性.
主要方法:
- 使用前后研究设计来评估结果.
- 基于电子医疗记录的临床决策支持工具的实施.
- 纳入前性审计作为多式联运管辖干预的一部分.
- 专注于被诊断为COVID-19的患者.
主要成果:
- 在干预后的COVID-19患者中观察到抗生素暴露的显著减少 (44.4%对61.8%,p = 0.002).
- 在住院后的前7天内,抗生素使用量有所减少.
- 多模式方法在制抗生素消费方面表现出有效性.
结论:
- 结合电子医疗记录临床决策支持和前性审计的多式管理干预措施有效地减少COVID-19患者的抗生素暴露.
- 这种方法可以成为优化在病毒大流行期间使用抗微生物药物的有价值策略.
- 进一步的研究应该探索长期影响和在不同感染中更广泛的适用性.
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