Evidence map›Paper›PMID 28487930›Full record

ArticleApplied clinical informatics2017

The Effects of Medication Alerts on Prescriber Response in a Pediatric Hospital.

Judith W Dexheimer, Eric S Kirkendall, Michal Kouril, Philip A Hagedorn, Thomas Minich, Leo L Duan, Monifa Mahdi, Rhonda Szczesniak, S Andrew Spooner

Abstract read
In one paragraph

Article in Applied clinical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. The potential for leveraging machine learning to filter medication alerts.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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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

9 authors.

Judith W DexheimerJudith Dexheimer, PhD, Division of Emergency Medicine, Cincinnati Children's Hospital Medical Center, MLC 2008, 3333 Burnet Avenue, Cincinnati, OH 45229-3039, Email: Judith.Dexheimer@cchmc.org, Phone: 513-803-2962, Fax: 513-803-2581.
Eric S Kirkendall
Michal Kouril
Philip A Hagedorn
Thomas Minich
Leo L Duan
Monifa Mahdi
Rhonda Szczesniak
S Andrew Spooner

Funding

Preventing rapid decline in CF: statistical research career commitmentK25HL125954 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI SZCZESNIAK, RHONDA · 2015 to 2019
$762k
NHLBI NIH HHS K25 HL125954
6 · The paper itself

Abstract

objectiveMore than 70% of hospitals in the United States have electronic health records (EHRs). Clinical decision support (CDS) presents clinicians with electronic alerts during the course of patient care; however, alert fatigue can influence a provider's response to any EHR alert. The primary goal was to evaluate the effects of alert burden on user response to the alerts.

methodsWe performed a retrospective study of medication alerts over a 24-month period (1/2013-12/2014) in a large pediatric academic medical center. The institutional review board approved this study. The primary outcome measure was alert salience, a measure of whether or not the prescriber took any corrective action on the order that generated an alert. We estimated the ideal number of alerts to maximize salience. Salience rates were examined for providers at each training level, by day of week, and time of day through logistic regressions.

resultsWhile salience never exceeded 38%, 49 alerts/day were associated with maximal salience in our dataset. The time of day an order was placed was associated with alert salience (maximal salience 2am). The day of the week was also associated with alert salience (maximal salience on Wednesday). Provider role did not have an impact on salience.

conclusionAlert burden plays a role in influencing provider response to medication alerts. An increased number of alerts a provider saw during a one-day period did not directly lead to decreased response to alerts. Given the multiple factors influencing the response to alerts, efforts focused solely on burden are not likely to be effective.

Indexed as

Drug PrescriptionsHospitals, PediatricMedical Order Entry SystemsChildElectronic Health RecordsHumansOutcome Assessment, Health Carealert fatiguealertingclinical decision supportelectronic health records and systemsinpatient (inpatient CPOE)Medical informatics

Identifiers

PMID28487930
PMCPMC6241745

What OpenQuestion holds

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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.