Evidence map›Paper›PMID 34178421›Full record

ArticleMedical science educator2021

The Development of a Video Intervention to Improve Senior Medical Students' Performance on Outpatient Telephone Encounters: a Delphi Analysis and Randomized Controlled Trial.

Jacob A Mack, Helen K Morgan, James T Fitzgerald, Eric C Walford, Lauren A Heidemann

Abstract read
In one paragraph

Article in Medical science educator, 2021. 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

5 authors.

Jacob A MackDivision of Hospital Medicine, Department of Internal Medicine, University of Michigan, UH South F4323, 1500 E. Medical Center Drive, 48109 Ann Arbor, MI, USA.ORCID 0000-0002-8571-3880
Helen K MorganDepartment of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI USA.
James T FitzgeraldDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, MI USA.
Eric C WalfordDivision of General Internal Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI USA.
Lauren A HeidemannDivision of Hospital Medicine, Department of Internal Medicine, University of Michigan, UH South F4323, 1500 E. Medical Center Drive, 48109 Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Postgraduate trainees address outpatient telephone calls (OTCs) with little prior training. This study determines the skills necessary for OTCs and examines whether a video intervention improves medical students' performance on simulated OTCs. Materials and Methods: We utilized a Delphi technique to determine skills needed for OTCs and created a 9-min video teaching these skills. Senior medical students were randomized to Intervention (viewed video) and Control (did not view video) groups. Students were assessed pre-/post-intervention on simulated OTCs. The primary outcome was the between-group difference in improvement. Results: The Delphi yielded 34 important skills with the highest focus on communication ( Conclusions: This project fills a gap in OTC training. The use of the Delphi technique, intervention development based on the results, and evaluation of efficacy is a process that could be reproduced for other educational gaps. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-021-01331-w.

Indexed as

Delphi techniqueMock pagingRandomized controlled trialResidency preparation courseTransition to residency

Identifiers

PMID34178421
PMCPMC8216674

What OpenQuestion holds

Textmetadata
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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.