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采用自动化电子病历方案,持续降低医院获得性艰难梭菌感染率。

Sustained reduction in rates of hospital-onset Clostridium difficile infection using an automated electronic health record protocol.

机构信息

Division of Infectious Diseases, Mercy Hospital, Saint Louis, MO.

Division of Infectious Diseases, Mercy Hospital, Springfield, MO.

出版信息

Am J Infect Control. 2018 May;46(5):542-548. doi: 10.1016/j.ajic.2017.09.029. Epub 2017 Nov 21.

Abstract

BACKGROUND

An automated protocol was designed within our electronic medical record (EMR) to help curb the Clostridium difficile problem at our institution. The protocol will identify patients at high risk for C difficile, improve the timing of testing of patients infected on admission, and enhance the appropriateness of C difficile testing throughout the patient's hospitalization.

METHODS

Admitted patients with 2 of the following 3 criteria were labeled as high risk for C difficile: admission to a medical institution in the preceding 90 days, administration of antibiotics in the preceding 90 days, or a history of C difficile. High-risk patients with diarrhea in the first 3 days of admission are identified in the EMR, and prompt testing for C difficile is done. After day 3, if diarrhea develops, a series of questions is presented to help test the appropriate patients for C difficile.

RESULTS

A statistically significant reduction in rates of hospital-onset C difficile was achieved after implementation of the protocol.

CONCLUSIONS

Implementation of an automated protocol for targeted testing of high-risk patients for C difficile was successful at reducing rates of hospital-onset C difficile by improving timing and appropriateness of testing.

摘要

背景

我们在电子病历(EMR)中设计了一个自动化方案,以帮助控制我们机构中的艰难梭菌问题。该方案将识别出患有艰难梭菌的高风险患者,改善对入院时感染患者的检测时机,并提高患者住院期间艰难梭菌检测的适当性。

方法

具有以下 3 项标准中的 2 项的住院患者被标记为艰难梭菌的高风险:在过去 90 天内入住医疗机构、在过去 90 天内使用抗生素或有艰难梭菌病史。在入院的前 3 天中,在 EMR 中识别出有腹泻的高风险患者,并及时进行艰难梭菌检测。在第 3 天之后,如果出现腹泻,则会提出一系列问题,以帮助对适当的患者进行艰难梭菌检测。

结果

实施方案后,医院获得性艰难梭菌的发生率显著降低。

结论

实施针对高风险患者的艰难梭菌靶向检测的自动化方案,通过改善检测的时机和适当性,成功降低了医院获得性艰难梭菌的发生率。

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