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Reducing CAUTI in patients with acute urinary retention in the critical care setting: A pilot study with electronic medical record analytics. | LitMetric

AI Article Synopsis

  • This study developed and assessed an algorithm to improve the management of indwelling urinary catheters (IUCs) in ICU patients with acute urinary retention (AUR).
  • The protocol introduced strategies like catheterization check before IUC placement, encouraged medication usage for AUR, and supported timely removal of IUCs.
  • Results showed a reduction in average IUC days and higher medication prescription rates while highlighting that electronic medical records (EMR) can be effective for monitoring intervention data if properly documented.

Article Abstract

Background: This study implemented and evaluated an algorithm protocol for management of indwelling urinary catheters (IUCs) among patients treated for acute urinary retention (AUR) in an intensive care unit. The algorithm protocol (1) instituted in and out catheterization before placing an IUC for retention; (2) encouraged more consistent use of medications for AUR; and (3) provided for prompt removal of IUCs placed for AUR.

Methods: An uncontrolled pre- and post-test intervention approach was used to assess the impact of the algorithm on the treatment of AUR. Bivariate and multivariate analyses assessed data collected using 2 approaches: (1) electronic extracts from the electronic medical record (EMR) vs (2) manual chart reviews.

Results: Findings suggest that the intervention decreased indwelling IUC days by 1.93 average days and increased medication prescription rates. An EMR extract identified fewer catheters per patient pre-intervention than a manual chart review, but otherwise the differences observed in the EMR extract and manual chart review were insignificant.

Conclusions: Implications for practitioners and administrators are that the algorithm protocol may reduce CAUTI risk and - provided consistent EMR documentation - EMR extracts may represent an efficient and effective approach for monitoring data when spreading the intervention.

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Source
http://dx.doi.org/10.1016/j.ajic.2022.06.005DOI Listing

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