Association between e-alert implementation for detection of acute kidney injury and outcomes: a systematic review

Lachance, Philippe, Villeneuve, Pierre-Marc, Rewa, Oleksa G., Wilson, Francis P., Selby, Nicholas M., Featherstone, Robin M. and Bagshaw, Sean M. (2017) Association between e-alert implementation for detection of acute kidney injury and outcomes: a systematic review. Nephrology Dialysis Transplantation, 32 (2). pp. 265-272. ISSN 1460-2385

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Background. Electronic alerts (e-alerts) for acute kidney injury (AKI) in hospitalized patients are increasingly being implemented; however, their impact on outcomes remains uncertain.

Methods. We performed a systematic review. Electronic databases and grey literature were searched for original studies published between 1990 and 2016. Randomized, quasi-randomized, observational and before-and-after studies that included hospitalized patients, implemented e-alerts for AKI and described their impact on one of care processes, patient-centred outcomes or resource utilization measures were included.

Results. Our search yielded six studies (n = 10 165 patients). E-alerts were generally automated, triggered through electronic health records and not linked to clinical decision support. In pooled analysis, e-alerts did not improve mortality [odds ratio (OR) 1.05; 95% confidence intervals (CI), 0.84–1.31; n = 3 studies; n = 3425 patients; I2 = 0%] or reduce renal replacement therapy (RRT) use (OR 1.20; 95% CI, 0.91–1.57; n = 2 studies; n = 3236 patients; I2 = 0%). Isolated studies reported improvements in selected care processes. Pooled analysis found no significant differences in prescribed fluid therapy.

Conclusions. In the available studies, e-alerts for AKI do not improve survival or reduce RRT utilization. The impact of e-alerts on processes of care was variable. Additional research is needed to understand those aspects of e-alerts that are most likely to improve care processes and outcomes.

Item Type: Article
Keywords: acute kidney injury, clinical decision support, electronic alert, meta-analysis, systematic review
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Medical Sciences and Graduate Entry Medicine
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Depositing User: Eprints, Support
Date Deposited: 09 May 2017 08:41
Last Modified: 04 May 2020 18:30

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