Evidence map›Paper›PMID 20709437›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2010

A computerized provider order entry intervention for medication safety during acute kidney injury: a quality improvement report.

Allison B McCoy, Lemuel R Waitman, Cynthia S Gadd, Ioana Danciu, James P Smith, Julia B Lewis, Jonathan S Schildcrout, Josh F Peterson

Open access · greenAbstract readComparative Study
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 7 pooled it
10.4field-weighted citation impact, top 2% of its field
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

57 citing papers in PubMed, 7 syntheses or guidelines pooled it, 125 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Association between e-alert implementation for detection of acute kidney injury and outcomes: a systematic review.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
    Pooled it
  5. Electronic Alerts for Acute Kidney Injury.Deutsches Arzteblatt international · 2017
    Pooled it
  6. Pooled it
  7. Computerized advice on drug dosage to improve prescribing practice.The Cochrane database of systematic reviews · 2013
    Pooled it
  8. Trial
  9. Trial
  10. Automated clinical reminders for primary care providers in the care of CKD: a small cluster-randomized controlled trial.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2011
    Trial
  11. Review
  12. Review
  13. Review
  14. System-Based Solutions to Minimizing Nephrotoxin-Induced Acute Kidney Injury.Clinical journal of the American Society of Nephrology : CJASN · 2023
    Article
  15. Article
  16. Artificial Intelligence in Acute Kidney Injury Prediction.Advances in chronic kidney disease · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Allison B McCoyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA. allison.mccoy@vanderbilt.edu
Lemuel R Waitman
Cynthia S Gadd
Ioana Danciu
James P Smith
Julia B Lewis
Jonathan S Schildcrout
Josh F Peterson
Vanderbilt University Medical Center · USVA Tennessee Valley Healthcare System · US

Funding

Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
Information Systems for Detecting and Managing Acute Kidney InjuryR01LM009965 · NLM · VANDERBILT UNIVERSITY · PI PETERSON, JOSEPH F. · 2008 to 2010
$998k
Optimizing therapeutics for hospitalized patients with impaired renal functionR03LM009238 · NLM · VANDERBILT UNIVERSITY · PI PETERSON, JOSH F. · 2006 to 2007
$151k
NLM NIH HHS R01 LM009965NLM NIH HHS R01 LM009965-02NLM NIH HHS R03 LM009238NLM NIH HHS R03 LM009238-02NLM NIH HHS T15 LM007450NLM NIH HHS T15 LM007450-08
6 · The paper itself

Abstract

backgroundFrequently, prescribers fail to account for changing kidney function when prescribing medications. We evaluated the use of a computerized provider order entry intervention to improve medication management during acute kidney injury. STUDY

designQuality improvement report with time series analyses. SETTING &

participants1,598 adult inpatients with a minimum 0.5-mg/dL increase in serum creatinine level over 48 hours after an order for at least one of 122 nephrotoxic or renally cleared medications. QUALITY IMPROVEMENT PLAN: Passive noninteractive warnings about increasing serum creatinine level appeared within the computerized provider order entry interface and on printed rounding reports. For contraindicated or high-toxicity medications that should be avoided or adjusted, an interruptive alert within the system asked providers to modify or discontinue the targeted orders, mark the current dosing as correct and to remain unchanged, or defer the alert to reappear in the next session. OUTCOMES & MEASUREMENTS: Intervention effect on drug modification or discontinuation, time to modification or discontinuation, and provider interactions with alerts.

resultsThe modification or discontinuation rate per 100 events for medications included in the interruptive alert within 24 hours of increasing creatinine level improved from 35.2 preintervention to 52.6 postintervention (P < 0.001); orders were modified or discontinued more quickly (P < 0.001). During the postintervention period, providers initially deferred 78.1% of interruptive alerts, although 54% of these eventually were modified or discontinued before patient death, discharge, or transfer. The response to passive alerts about medications requiring review did not significantly change compared with baseline. LIMITATIONS: Single tertiary-care academic medical center; provider actions were not independently adjudicated for appropriateness.

conclusionsA computerized provider order entry-based alerting system to support medication management after acute kidney injury significantly increased the rate and timeliness of modification or discontinuation of targeted medications.

Indexed as

Decision Support Systems, ClinicalUser-Computer InterfaceAcute Kidney InjuryDrug Therapy, Computer-AssistedFemaleHumansMaleMedical Order Entry SystemsMedication Systems, HospitalMiddle AgedProspective StudiesQuality Assurance, Health Care

Identifiers

PMID20709437
PMCPMC2963668
OpenAlexW1995528550

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.