Subjective Qualitative Hand Hygiene Compliance Observation: A Feasibility Trial

J. Bierwirth, S. Schulz-Stübner
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Abstract

average costs per interview calculated with 19.69 CHF (Swiss francs). This corresponds to approximately 1,510,892 CHF for 76,734 telephone interviews in the surveillance period 2013-2014. Although PDS is able to produce more reliable SSI data compared with surveillance systems that limit the data acquisition period to the time in the hospital and readmissions, most additional captured SSIs are superficial ones, so the cost-effectiveness of routine PDS has been questioned. In Germany efforts are underway to conduct SSI surveillance for all inpatient and outpatient surgical procedures with an algorithm based on health insurance data and using International Classification of Diseases (ICD) codes, German procedure codes, and diagnosis-related group administrative datasets as part of the mandatory quality assurance program starting in January 2017. This approach will include the postdischarge period but will not need any input by infection control practitioners, thus freeing up their time. However, physicians who treat a case of presumed SSI detected by the automatic algorithm will be required to fill out a short questionnaire to verify the classification. International benchmarking will become more difficult, given the variety of surveillance systems from active PDS in Switzerland and the Netherlands to future “big data” mining in Germany to classical active surveillance reporting using standardized definitions. Therefore, we believe that an internationally synchronized effort to streamline a cost-effective surveillance approach to detect SSIs is warranted, keeping in mind the RUMBA rule of meaningful quality indicators: Reliable, Understandable, Measureable, Behaviorable, and Achievable.
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主观定性手卫生依从性观察:可行性试验
每次面试的平均费用为19.69瑞士法郎。这相当于2013-2014年监测期间76,734次电话访谈的约1,510,892瑞士法郎。尽管与将数据采集周期限制在住院和再入院时间的监测系统相比,PDS能够产生更可靠的SSI数据,但大多数额外捕获的SSI是表面的,因此常规PDS的成本效益受到质疑。作为2017年1月开始的强制性质量保证计划的一部分,德国正在努力对所有住院和门诊外科手术进行SSI监测,采用基于健康保险数据的算法,并使用国际疾病分类(ICD)代码、德国程序代码和诊断相关的组管理数据集。这种方法将包括出院后的时间,但不需要感染控制从业人员的任何投入,从而腾出他们的时间。然而,治疗由自动算法检测到的假定SSI病例的医生将被要求填写一份简短的问卷来验证分类。鉴于监控系统的多样性,从瑞士和荷兰的主动PDS到德国未来的“大数据”挖掘,再到使用标准化定义的经典主动监控报告,国际基准测试将变得更加困难。因此,我们认为,国际同步努力简化一种具有成本效益的监测方法来检测ssi是有必要的,牢记RUMBA规则的有意义的质量指标:可靠、可理解、可测量、可行为和可实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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