Evidence map›Paper›PMID 39906183›Full record

ArticlePRiMER (Leawood, Kan.)2024

Telehealth in Family Medicine Clerkships After Return of In-Person Care: A CERA Study.

Kathleen Wong, Misbah Keen, Tian Zhou, Charlotte Bolch, John Ashurst

Abstract read
In one paragraph

Article in PRiMER (Leawood, Kan.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kathleen WongArizona College of Osteopathic Medicine, Glendale, AZ.
Misbah KeenUniversity of Washington, Department of Family Medicine, Seattle, WA.
Tian ZhouOffice of Research and Sponsored Programs, Midwestern University, Glendale, AZ.
Charlotte BolchOffice of Research and Sponsored Programs, Midwestern University, Glendale, AZ.
John AshurstDepartment of Integrated Medicine, Arizona College of Osteopathic Medicine, Glendale, AZ.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The COVID-19 pandemic encouraged widespread implementation of telemedicine. With the increased normalization of telemedicine in clinical practice, the authors sought to characterize telemedicine training during family medicine clerkships after the return to in-person care. Methods: Data were collected as part of the 2023 Council of Academic Family Medicine's Educational Research Alliance (CERA) survey of family medicine clerkship directors (CDs). Along with baseline demographics about the clerkship and themselves, CDs answered which Association of American Medical Colleges (AAMC) telehealth competencies were taught during family medicine clerkships and indicated challenges related to involving medical students in telemedicine visits. Results: More than half of the responding family medicine clerkships (57.3%) did not teach any of the AAMC telehealth core competencies and only 4.3% taught all six competencies. The three most commonly taught competencies during the clerkship included communication via telehealth (32.2%), patient safety and appropriate use of telehealth (27.1%), and technology for telehealth (17.7%). Most family medicine clerkships (68.0%) identified at least one challenge of the three possible perceived challenges with "limited site resources" as the most reported barrier. There was no significant difference in telemedicine training from CD based on type of medical school ( Conclusions: Of those CDs who responded, many still do not teach the AAMC telehealth core competencies within their family medicine clerkship. The majority reported limited site resources as a barrier to telehealth education.

Identifiers

PMID39906183
PMCPMC11792414

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.