Evidence map›Paper›PMID 33644304›Full record

ArticleMedEdPORTAL : the journal of teaching and learning resources2021

Can You Hear Me Now? Helping Faculty Improve Feedback Exchange for Internal Medicine Subspecialty Fellows.

Sonia Ananthakrishnan, Mara Eyllon, Craig Noronha

Abstract read
In one paragraph

Article in MedEdPORTAL : the journal of teaching and learning resources, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Sonia AnanthakrishnanAssistant Professor of Medicine, Department of Medicine and Director of Student Education, Boston University School of Medicine, Boston Medical Center.
Mara EyllonPostdoctoral Researcher, Department of Medicine, Boston University School of Medicine, Boston Medical Center.
Craig NoronhaAssistant Professor of Medicine, Department of Medicine and Associate Program Director, Boston University School of Medicine, Boston Medical Center.ORCID 0000-0002-9063-2903

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Feedback is an important tool that describes an individual's performance in a specific activity. Trainees at all levels grow from feedback exchanges to develop knowledge, skills, and attitudes in their specialty. However, there is a dearth of faculty development on providing advanced trainees feedback effectively. Methods: We designed and delivered internal medicine subspecialty-focused 60- or 90-minute interactive workshop to train faculty to improve feedback exchange with fellows. The workshop included addressing barriers to feedback specific to fellowship, tool and skills for feedback exchange, and case-based skills practice specific to scenarios seen in each subspecialty fellowship program. We utilized surveys of faculty assessing comfort with feedback exchange with fellows before and after the workshop. Results: We delivered the workshop to two separate specialty sections, gastroenterology and endocrine. Overall, faculty ( Discussion: This workshop for faculty was designed to improve the skills, knowledge, and attitudes related to feedback exchange specifically within an internal medicine subspecialty fellowship training program. Analysis of pre- and postsurvey data demonstrated increased faculty comfort providing fellows-in-training with feedback.

Indexed as

GastroenterologyInternal MedicineFaculty, MedicalFeedbackFellowships and ScholarshipsHumansCase-Based LearningFaculty DevelopmentFeedbackFellow Trainees

Identifiers

PMID33644304
PMCPMC7901254

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.