常规和智能输液泵输注中的误差处理：系统评价与荟萃分析。
Handling errors in conventional and smart pump infusions: A systematic review with meta-analysis.
机构信息
Programa de Pós-Graduação em Enfermagem e Biociências, Universidade Federal do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Corpo de Bombeiros Militar do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
出版信息
Rev Esc Enferm USP. 2020;54:e03562. doi: 10.1590/s1980-220x2018032603562. Epub 2020 May 8.
OBJECTIVE
To identify the scientific evidence on the frequency of handling errors of conventional and smart pump infusions in intravenous insulin therapy in intensive care units.
METHOD
A systematic review with meta-analysis conducted in the Virtual Health Library, MEDLINE via PubMed, Scopus and Web of Science databases. Articles were assessed regarding the level of evidence by applying the Oxford Center for Evidence-Based Medicine Evidence Scale.
RESULTS
Twelve (12) publications were selected which met the eligibility criteria. The programming error rate using the conventional infusion pump ranged from 10% to 40.1%, and the smart pump technology error rate ranged from 0.3 to 14%. The meta-analysis of two studies favored the smart pump in reducing the relative risk of programming errors by 51%.
CONCLUSION
Based on selected articles, the smart pump reduces the risk of programming errors.
目的
确定重症监护病房中静脉胰岛素治疗中常规和智能输液泵处理错误频率的科学证据。
方法
在虚拟健康图书馆、PubMed 中的 MEDLINE、Scopus 和 Web of Science 数据库中进行系统评价和荟萃分析。通过应用牛津循证医学中心证据量表评估文章的证据水平。
结果
选择了 12 篇符合入选标准的出版物。使用常规输液泵的编程错误率范围为 10%至 40.1%，智能泵技术错误率范围为 0.3%至 14%。两项研究的荟萃分析表明，智能泵在降低编程错误的相对风险方面具有优势，降低了 51%。
结论
基于选定的文章，智能泵降低了编程错误的风险。
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