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智能输液泵互操作性对静脉输液给药错误的影响:一项多医院前后研究。

The Impact of Smart Pump Interoperability on Errors in Intravenous Infusion Administrations: A Multihospital Before and After Study.

机构信息

From the Sharp Healthcare, Chula Vista.

Department of Pharmacy, University of California San Diego Health, San Diego, California.

出版信息

J Patient Saf. 2022 Apr 1;18(3):e666-e671. doi: 10.1097/PTS.0000000000000905.

Abstract

OBJECTIVE

The objective of this study was to assess the frequency, type, and severity of errors associated with intravenous medication administration before and after smart pump interoperability.

METHODS

We conducted an observational study at a community healthcare system before and after implementing smart pump interoperability. Point prevalence methodology was used to collect data on medication administration and errors in adult inpatient settings.

RESULTS

Observations were completed for 350 infusions preintervention (178 patients) and 367 postintervention (200 patients). Total errors significantly decreased from 401 (114.6 per 100 infusions) to 354 (96.5 per 100 infusions, P = 0.02). Administration errors decreased from 144 (41.1 per 100 infusions) to 119 (32.4 per 100 infusions, P = 0.12). Expired medication errors significantly reduced from 11 (3.1 per 100 infusions) to 2 (0.5 per 100 infusions, P = 0.02). Errors involving high-risk medications significantly reduced from 45 (12.8 per 100 infusions) to 25 (6.8 per 100 infusions, P = 0.01). Errors involving continuous medications significantly reduced from 44 (12.6 per 100 infusions) to 22 (6.0 per 100 infusions, P = 0.005). When comparing programming type, manual programming resulted in 115 (77.2%) of administration and user documentation errors compared with 34 errors (22.8%) that occurred when autoprogramming was used. Of these, errors involving high-risk medications reduced from 21 (84.0%) to 4 (16.0%) after using autoprogramming.

CONCLUSIONS

Smart pump interoperability resulted in a 16% reduction in medication administration errors. Despite using dose error reduction software and autoprogramming, some types of errors persisted. Further studies are needed to understand how technology use can be optimized.

摘要

目的

本研究旨在评估智能输液泵互操作性实施前后与静脉用药相关的错误发生频率、类型和严重程度。

方法

我们在一家社区医疗系统实施智能输液泵互操作性前后进行了一项观察性研究。采用点 prevalence 方法收集成人住院患者药物管理和错误的数据。

结果

干预前共观察 350 次输液(178 例患者),干预后观察 367 次输液(200 例患者)。总错误数从 401 个(每 100 次输液 114.6 个)显著减少到 354 个(每 100 次输液 96.5 个,P=0.02)。给药错误从 144 个(每 100 次输液 41.1 个)减少到 119 个(每 100 次输液 32.4 个,P=0.12)。过期药物错误从 11 个(每 100 次输液 3.1 个)显著减少到 2 个(每 100 次输液 0.5 个,P=0.02)。涉及高危药物的错误从 45 个(每 100 次输液 12.8 个)显著减少到 25 个(每 100 次输液 6.8 个,P=0.01)。涉及连续药物的错误从 44 个(每 100 次输液 12.6 个)减少到 22 个(每 100 次输液 6.0 个,P=0.005)。比较编程类型,手动编程导致 115 次(77.2%)给药和用户文档错误,而自动编程导致 34 次(22.8%)错误。其中,在使用自动编程后,涉及高危药物的错误从 21 次(84.0%)减少到 4 次(16.0%)。

结论

智能输液泵互操作性使药物给药错误减少了 16%。尽管使用了剂量错误减少软件和自动编程,但仍存在一些类型的错误。需要进一步研究以了解如何优化技术的使用。

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