Evidence map›Paper›PMID 35762005›Full record

ArticleKansas journal of medicine2022

Virtual Adaptation of Resident I-PASS Training Session During COVID-19.

Michael T Rouse, Abebe M Abebe, David G Naylor, Cheryl A Gibson

Abstract read
In one paragraph

Article in Kansas journal of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Michael T RouseDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, KS.
Abebe M AbebeDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, KS.
David G NaylorDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, KS.
Cheryl A GibsonDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, KS.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Effective communication during the patient handoff process is critical for ensuring patient safety. At our academic medical center, first-year interns complete hand-off training before starting clinical rotations. The purpose of this study was to evaluate a virtual handoff training for residents as an alternative to in-person sessions due to limitations imposed by COVID-19. Methods: Fifty residents were administered pre/post surveys to gauge the helpfulness of the training for clinical practice, familiarity and confidence in providing a hand-off, and whether they would recommend the virtual format for incoming interns. Additionally, faculty rated the virtual form of the hand-off activity, made comparisons to in-person sessions, and assessed the helpfulness of the session for residents in clinical practice. Results: Forty-four residents (88%) and 11 faculty (85%) completed surveys. After the training session, residents who received instruction and feedback reported significant improvements in familiarity with the hand-off tool and confidence in their hand-off abilities (both p < 0.001). Both residents and faculty were satisfied with the virtual format of hand-off training. Most faculty felt the virtual platform was comparable to in-person sessions and would recommend ongoing use of the virtual platform when in-person sessions were not possible. Conclusions: Teaching hospitals mandate resident training to include strategies for a uniform hand-off method to avoid medical errors. Adaptation to a virtual platform can be a successful instruction strategy, allowing for didactic and interactive sessions with direct faculty observation and feedback.

Indexed as

COVID-19internship and residencyonline educationpatient hand-off

Identifiers

PMID35762005
PMCPMC9224890

What OpenQuestion holds

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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.