加拿大医疗保健相关感染管理数据与主动监测数据之间的差异

Virginie Boulanger, E. Poirier, Anne MacLaurin, C. Quach
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引用次数: 2

摘要

背景:虽然加拿大既有国家主动监测系统,也有用于医疗保健相关感染(HAI)被动监测的行政数据,但两者在数据收集和报告方面都有各自的长处和短处。主动监测和被动监测是独立工作的,有时会产生不同的结果。为了了解行政卫生数据和主动监测数据之间的差异,进行了范围审查。方法检索1995年至2020年11月2日期间加拿大的medline、Embase、护理和相关健康文献累积指数以及灰色文献,以英语和法语评估单独使用行政数据或与传统监测相比较的研究。在从选定的文章中提取相关信息后,对调查结果进行了描述性总结,并提出了改进监测系统以优化整体数据质量的建议。结果16篇文章符合纳入标准,包括12项观察性研究和4项系统评价。研究表明,与传统的主动监测相比,使用单一行政数据来源进行HAI监测并不准确;然而,结合不同来源的数据或将管理数据与主动监测数据相结合可以提高准确性。电子监视系统还可以通过提高发现潜在HAIs的能力来加强监视。结论虽然HAIs的主动监测结果最准确,仍然是金标准,但主动和被动监测数据的整合可以优化。管理数据可以用来加强传统的主动监测。未来的研究需要评估在加拿大使用行政数据进行HAI监测和报告的潜在解决方案的可行性和效益。
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Divergences between healthcare-associated infection administrative data and active surveillance data in Canada.
Background Although Canada has both a national active surveillance system and administrative data for the passive surveillance of healthcare-associated infections (HAI), both have identified strengths and weaknesses in their data collection and reporting. Active and passive surveillance work independently, resulting in results that diverge at times. To understand the divergences between administrative health data and active surveillance data, a scoping review was performed. Method Medline, Embase and Cumulative Index to Nursing and Allied Health Literature along with grey literature were searched for studies in English and French that evaluated the use of administrative data, alone or in comparison with traditional surveillance, in Canada between 1995 and November 2, 2020. After extracting relevant information from selected articles, a descriptive summary of findings was provided with suggestions for the improvement of surveillance systems to optimize the overall data quality. Results Sixteen articles met the inclusion criteria, including twelve observational studies and four systematic reviews. Studies showed that using a single source of administrative data was not accurate for HAI surveillance when compared with traditional active surveillance; however, combining different sources of data or combining administrative with active surveillance data improved accuracy. Electronic surveillance systems can also enhance surveillance by improving the ability to detect potential HAIs. Conclusion Although active surveillance of HAIs produced the most accurate results and remains the gold-standard, the integration between active and passive surveillance data can be optimized. Administrative data can be used to enhance traditional active surveillance. Future studies are needed to evaluate the feasibility and benefits of potential solutions presented for the use of administrative data for HAI surveillance and reporting in Canada.
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