Evidence map›Paper›PMID 22719796›Full record

ArticleApplied clinical informatics2012

Real-time pharmacy surveillance and clinical decision support to reduce adverse drug events in acute kidney injury: a randomized, controlled trial.

Allison B McCoy, Zachary L Cox, Erin B Neal, Lemuel R Waitman, Neeraja B Peterson, Gautam Bhave, Edward D Siew, Ioana Danciu, Julia B Lewis, Josh F Peterson

Abstract read
In one paragraph

Article in Applied clinical informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Systematic review and narrative synthesis of computerized audit and feedback systems in healthcare.Journal of the American Medical Informatics Association : JAMIA · 2022
    Pooled it
  5. Reducing medication errors for adults in hospital settings.The Cochrane database of systematic reviews · 2021
    Pooled it
  6. Pooled it
  7. Electronic Alerts for Acute Kidney Injury.Deutsches Arzteblatt international · 2017
    Pooled it
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Clinician collaboration to improve clinical decision support: the Clickbusters initiative.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  14. Review
  15. Observational
  16. Article
  17. Improvement of drug prescribing in acute kidney injury with a nephrotoxic drug alert system.European journal of hospital pharmacy : science and practice · 2019
    Article
  18. Observational
  19. Clinical Decision Support for In-Hospital AKI.Journal of the American Society of Nephrology : JASN · 2018
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Allison B McCoyDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN.
Zachary L Cox
Erin B Neal
Lemuel R Waitman
Neeraja B Peterson
Gautam Bhave
Edward D Siew
Ioana Danciu
Julia B Lewis
Josh F Peterson

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
Vanderbilt Center for Diabetes Translation ResearchP30DK092986 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ELASY, TOM A · 2011 to 2020
$6.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR) KL2KL2RR024977 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$3.0M
The Vanderbilt Institute for Clinical and Translational Research (VICTR) TL1TL1RR024978 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$1.3M
Information Systems for Detecting and Managing Acute Kidney InjuryR01LM009965 · NLM · VANDERBILT UNIVERSITY · PI PETERSON, JOSEPH F. · 2008 to 2010
$998k
NCRR NIH HHS KL2 RR024977NCRR NIH HHS TL1 RR024978NCRR NIH HHS UL1 RR024975NIDDK NIH HHS P30 DK092986NLM NIH HHS R01 LM009965NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

objectivesClinical decision support (CDS), such as computerized alerts, improves prescribing in the setting of acute kidney injury (AKI), but considerable opportunity remains to improve patient safety. The authors sought to determine whether pharmacy surveillance of AKI patients could detect and prevent medication errors that are not corrected by automated interventions.

methodsThe authors conducted a randomized clinical trial among 396 patients admitted to an academic, tertiary care hospital between June 1, 2010 and August 31, 2010 with an acute 0.5 mg/dl change in serum creatinine over 48 hours and a nephrotoxic or renally cleared medication order. Patients randomly assigned to the intervention group received surveillance from a clinical pharmacist using a web-based surveillance tool to monitor drug prescribing and kidney function trends. CDS alerting and standard pharmacy services were active in both study arms. Outcome measures included blinded adjudication of potential adverse drug events (pADEs), adverse drug events (ADEs) and time to provider modification or discontinuation of targeted nephrotoxic or renally cleared medications.

resultsPotential ADEs or ADEs occurred for 104 (8.0%) of control and 99 (7.1%) of intervention patient-medication pairs (p=0.4). Additionally, the time to provider modification or discontinuation of targeted nephrotoxic or renally cleared medications did not differ between control and intervention patients (33.4 hrs vs. 30.3 hrs, p=0.3).

conclusionsPharmacy surveillance had no incremental benefit over previously implemented CDS alerts.

Identifiers

PMID22719796
PMCPMC3377180

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.