Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, USA.
Microsensor Labs, LLC, Chicago, IL, USA.
J Hosp Infect. 2022 May;123:126-134. doi: 10.1016/j.jhin.2022.01.017. Epub 2022 Feb 2.
It is difficult to improve compliance with hand hygiene (HH), and underlying behaviours are not clearly understood among healthcare workers.
To study HH behaviours among healthcare workers.
This was a prospective observational study. A Sanibit electronic HH system was installed in a 10-bed surgical intensive care unit (ICU) that detected HH opportunities automatically when healthcare workers entered or exited a patient room, and tracked the HH compliance of healthcare workers. The HH compliance rate and patient contact time were calculated and analysed at both ICU level and individual level over time.
In total, 27,692 HH opportunities were recorded over this 6-month trial period. The HH compliance rate was significantly higher when healthcare workers exited patient rooms than when they entered patient rooms (37.3% vs 26.1%; P<0.001). Full, partial and total HH compliance rates of 'quick in and quick out' (in room for <3 s) events were significantly lower than those of 'long in and long out' (in room for >30 s) events (23.45% vs 32.77%, 21.44% vs 35.03% and 44.88% vs 67.81%, respectively; P<0.001). There were also significant differences in HH compliance between individual healthcare workers (P<0.001). No significant differences in overall HH compliance rate and patient contact time were found between hours of the day or days of the week, except partial HH compliance rates.
Patterns of HH behaviours among healthcare workers are complex and variable, which could facilitate targeted and personalized interventions to improve HH compliance.
NCT03948672.
提高医护人员手卫生(HH)依从性较为困难,其行为背后的原因也并不明晰。
研究医护人员的 HH 行为。
本研究采用前瞻性观察性设计。在一个拥有 10 张床位的外科重症监护病房(ICU)内安装了 Sanibit 电子 HH 系统,当医护人员进出患者房间时,该系统会自动检测 HH 机会,并跟踪医护人员的 HH 依从性。随着时间的推移,在 ICU 层面和个人层面计算和分析 HH 依从率和患者接触时间。
在这项为期 6 个月的试验中,共记录了 27692 次 HH 机会。当医护人员离开病房时,HH 依从率显著高于进入病房时(37.3%比 26.1%;P<0.001)。“速进速出”(在房间内停留<3 秒)事件的完全、部分和总 HH 依从率明显低于“长进长出”(在房间内停留>30 秒)事件(23.45%比 32.77%,21.44%比 35.03%和 44.88%比 67.81%;P<0.001)。个体医护人员之间的 HH 依从性也存在显著差异(P<0.001)。除部分 HH 依从率外,一天中的时间或一周中的天数与 HH 依从率和患者接触时间的总体差异无统计学意义。
医护人员 HH 行为模式复杂且多变,这有助于实施有针对性和个性化的干预措施来提高 HH 依从性。
NCT03948672。