Literature DB >> 28487930

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

Judith W Dexheimer1, Eric S Kirkendall, Michal Kouril, Philip A Hagedorn, Thomas Minich, Leo L Duan, Monifa Mahdi, Rhonda Szczesniak, S Andrew Spooner.   

Abstract

OBJECTIVE: More 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.
METHODS: We 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.
RESULTS: While 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.
CONCLUSION: Alert 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.

Entities:  

Keywords:  Medical informatics; alert fatigue; alerting; clinical decision support; electronic health records and systems; inpatient (inpatient CPOE)

Mesh:

Year:  2017        PMID: 28487930      PMCID: PMC6241745          DOI: 10.4338/ACI-2016-10-RA-0168

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  39 in total

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4.  Payer Formulary Alerts as a Cause of Patient Harm and the Journey to Change Them.

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7.  Tenfold medication dose prescribing errors.

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Review 8.  Incidence and nature of dosing errors in paediatric medications: a systematic review.

Authors:  Ian C K Wong; Maisoon A Ghaleb; Bryony D Franklin; Nick Barber
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Review 10.  Measuring and improving patient safety through health information technology: The Health IT Safety Framework.

Authors:  Hardeep Singh; Dean F Sittig
Journal:  BMJ Qual Saf       Date:  2015-09-14       Impact factor: 7.035

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  8 in total

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4.  The potential for leveraging machine learning to filter medication alerts.

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Review 5.  Modulators Influencing Medication Alert Acceptance: An Explorative Review.

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6.  Evaluation of a Novel System to Enhance Clinicians' Recognition of Preadmission Adverse Drug Reactions.

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Journal:  Appl Clin Inform       Date:  2018-05-09       Impact factor: 2.342

7.  Drug Alert Experience and Salience during Medical Residency at Two Healthcare Institutions.

Authors:  Kinjal Gadhiya; Edgar Zamora; Salim M Saiyed; David Friedlander; David C Kaelber
Journal:  Appl Clin Inform       Date:  2021-04-28       Impact factor: 2.342

8.  Smart pumps improve medication safety but increase alert burden in neonatal care.

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  8 in total

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