Impact of electronic alerts for acute kidney injury on patient outcomes: interrupted time-series analysis of population cohort data.

ABSTRACT:

Background

Automated acute kidney injury (AKI) electronic alerts (e-alerts) are rule-based warnings triggered by changes in creatinine and are intended to facilitate earlier detection in AKI. We assessed the impact of the introduction in the Tayside region of UK in April 2015 of automated AKI e-alerts with an accompanying education programme.

Methods

Interrupted time-series analysis using segmented regression was performed involving all adults with AKI aged ≥18 years who had a serum creatinine measured between 1 April 2013 and 31 March 2017. Analysis evaluated associations of AKI e-alert introduction on rate and severity (Stages 2-3) of AKI as well as mortality and occupied hospital bed days per patient per month in the population with AKI.

Results

There were 32 320 e

SUBMITTER: Baird D 

PROVIDER: S-EPMC7886568 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature