Evidence map›Paper›PMID 34041735›Full record

ArticleApplied clinical informatics2021

Improving ACGME Compliance for Obstetric Anesthesiology Fellows Using an Automated Email Notification System.

Holly B Ende, Michael G Richardson, Brandon M Lopez, Jonathan P Wanderer

Open access · bronzeAbstract read
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Article in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Holly B EndeDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Michael G RichardsonDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Brandon M LopezDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Jonathan P WandererDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Vanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Accreditation Council for Graduate Medical Education establishes minimum case requirements for trainees. In the subspecialty of obstetric anesthesiology, requirements for fellow participation in nonobstetric antenatal procedures pose a particular challenge due to the physical location remote from labor and delivery and frequent last-minute scheduling.

objectivesIn response to this challenge, we implemented an informatics-based notification system, with the aim of increasing fellow participation in nonobstetric antenatal surgeries.

methodsIn December 2014 an automated email notification system to inform obstetric anesthesiology fellows of scheduled nonobstetric surgeries in pregnant patients was initiated. Cases were identified via daily automated query of the preoperative evaluation database looking for structured documentation of current pregnancy. Information on flagged cases including patient medical record number, operating room location, and date and time of procedure were communicated to fellows via automated email daily. Median fellow participation in nonobstetric antenatal procedures per quarter before and after implementation were compared using an exact Wilcoxon-Mann-Whitney test due to low baseline absolute counts. The fraction of antenatal cases representing nonobstetric procedures completed by fellows before and after implementation was compared using a Fisher's exact test.

resultsThe number of nonobstetric antenatal cases logged by fellows per quarter increased significantly following implementation, from median 0[0,1] to 3[1,6] cases/quarter (

conclusionThrough an automated email system to identify nonobstetric antenatal procedures in pregnant patients, we were able to increase the number of these cases completed by fellows during 3 years following implementation.

Indexed as

AnesthesiologyAccreditationDocumentationElectronic MailFellowships and ScholarshipsFemaleHumansInternship and ResidencyPregnancy

Identifiers

PMID34041735
PMCPMC8154353
OpenAlexW3164026134

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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.