Evidence map›Paper›PMID 38510387›Full record

ArticleMedical science educator2024

Strategies for Digital Clinical Teaching During the COVID Pandemic: A Scoping Review.

Miranda Voss, Anne Geniets, Niall Winters

Abstract readScoping Review
In one paragraph

Article in Medical science educator, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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.

Miranda VossDepartment of Education, University of Oxford, Oxford, UK.ORCID 0000-0001-8733-094X
Anne GenietsDepartment of Education, University of Oxford, Oxford, UK.
Niall WintersDepartment of Education, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Widespread "lockdowns" during the COVID pandemic in 2020-2021 restricted medical students' access to patients. We used a scoping review with exploratory thematic synthesis to examine how reports of digital clinical teaching during the first year of the COVID pandemic could inform digital clinical teaching in the post-pandemic world. We looked at strategies used and outcomes reported, lessons learned about how best to use digital methods for clinical teaching, and learning theories used. The eighty-three articles included in the final review fell into four groups. These were telehealth interventions; virtual case-based teaching; multi-modal virtual rotations; and a small group of "other" strategies. Telehealth reports indicated that COVID has probably accelerated the adoption of telehealth, and these skills will be required in future curricula. Engagement with virtual case-based teaching was problematic. Virtual rotations were particularly valued in specialties that relied on visual interpretation such as radiology and dermatology. For general clinical specialties, digital clinical teaching was not a satisfactory substitute for real clinical exposure because it lacked the complexity of usual clinical practice. Sixty-seven articles reported students' reactions only, and 16 articles reported a change in knowledge or skills. Demands on instructors were considerable. Few studies were theorized and none tested theory, which limited their transferability. While telehealth teaching may be a valuable addition to some curricula, digital clinical teaching is unlikely substantially to replace exposure to real patients outside of specialties that rely on visual interpretation. High demands on instructors suggest little potential for new, scalable digital clinical offerings after COVID.

Indexed as

Clinical teachingDigital learningMedical students

Identifiers

PMID38510387
PMCPMC10948717

What OpenQuestion holds

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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.