Evidence map›Paper›PMID 40519660›Full record

ArticleMedEdPublish (2016)2023

Using the Power of Narratives in E-Learning for COVID-19 Vaccine Hesitancy Conversations: A Mixed Methods Study in Medical Education.

Aayushi Gupta, Anita Berlin, Graham Easton

Abstract read
In one paragraph

Article in MedEdPublish (2016), 2023. 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

3 authors.

Aayushi GuptaInstitute of Health Sciences Education, Faculty of Medicine and Dentistry, Queen Mary University of London, London, England, UK.ORCID https://orcid.org/0000-0002-0728-5577
Anita BerlinInstitute of Health Sciences Education, Faculty of Medicine and Dentistry, Queen Mary University of London, London, England, UK.
Graham EastonInstitute of Health Sciences Education, Faculty of Medicine and Dentistry, Queen Mary University of London, London, England, UK.ORCID https://orcid.org/0000-0002-6502-7453

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the COVID-19 pandemic, we developed an e-learning resource to support medical students in having effective conversations with COVID vaccine hesitant patients (an urgent challenge). Development of information and communication skills elements was underpinned by narrative learning theory; learners interact with three fictional characters whose stories run through the resource in activities and role-plays. We co-developed the resource and characters with students, colleagues and local community. Methods: We used a mixed methods approach to evaluate the resource, including a survey of pre- and post- module self-confidence scores, and by thematic analysis of a focus group with seven final year medical students to explore their perceptions of how the story elements influenced their learning. Results: All students surveyed reported an improvement in their confidence in having effective conversations with vaccine-hesitant patients. The focus group analysis suggests that character-based narratives can promote learning online, particularly through engagement and accessibility, relatability of characters and their stories, improved memory, and emotional connection. Conclusions: This study suggests that character-driven stories have potential value in online learning about vaccine hesitancy conversations. Further research is needed to establish the nature of their impact on different aspects of learning including the duration of effect on students' communication skills and any patient-related outcomes.

Indexed as

e-learningmedical studentsmotivational interviewingnarrativevaccine hesitancy

Identifiers

PMID40519660
PMCPMC12166355

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.