基于故障模式和效应分析的策略,用于控制癌症患者的多药耐药生物感染
Chunlin Wu1, Qingqing Tian1, Hui Wang1
1The Department of Hospital Infection Control and Public Health, Sichuan Cancer Hospital, Chengdu, China.
Scientific reports
|November 18, 2024
概括
失败模式和影响分析 (FMEA) 在术后癌症患者中显著减少了医院获得的感染和多药耐药生物体 (MDRO) 感染. 这种系统的方法在高风险的手术环境中有效控制感染.
科学领域:
- 医学微生物学 医学微生物学
- 传染病流行病学 传染病流行病学
- 医疗保健管理的管理
背景情况:
- 手术后感染,特别是由多药耐药生物体 (MDROs) 引起的感染,对接受手术的癌症患者构成重大临床挑战.
- 积极的战略至关重要,以减轻与免疫受损人群在医院获得的感染相关的风险.
研究的目的:
- 系统评估故障模式和影响分析 (FMEA) 在预防和控制术后癌症患者的MDRO感染方面的有效性.
- 评估基于FMEA的干预措施对整体医院感染率和特定MDRO感染率的影响.
主要方法:
- 在一家三级癌症专科医院进行了故障模式和影响分析 (FMEA),以确定感染风险.
- 实施了针对FMEA确定的高和中高风险因素的干预措施.
- 分析了2017-2019年 (控制) 和2020-2022年 (干预) 的医院感染数据.
主要成果:
- 医院感染发生率从1.66% (干预前) 降至1.22% (干预后),这是统计学上显著的减少 (P < 0.001).
- MDRO感染的发生率显著下降,从1.808‰降至1.136‰ (P = 0.001).
结论:
- 失效模式和效应分析 (FMEA) 是一种有效的方法,用于预防和控制术后癌症患者的多抗药生物体感染.
- FMEA的方法显示出实际价值,并保证广泛采用,特别是在COVID-19流行病等全球卫生挑战的背景下.
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