ArticleBMC medical education2022
A webinar series to educate applicants about the UK academic foundation programme: a longitudinal cross-sectional study.
Article in BMC medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe UK academic foundation programme (AFP) is a competitive programme for medical graduates and forms the initial stage of the integrated clinical academic pathway. The application is complex and targeted education is beneficial. As online technologies improve, virtual medical education is becoming more common. Currently, webinar education, particularly that of webinar series, are poorly evidenced. An online course was created to investigate the acceptability and effectiveness of webinars for medical education.
methodsA six-part, one-hour sessional webinar course was developed following a focus group with academic foundation doctors. A pre- and post-course cross-sectional questionnaire study evaluated participant demographics, webinar opinion and self-rated understanding of the AFP via Google Form (Google, USA). Where applicable a five-point Likert scale (1-Strongly disagree to 5-strongly agree) was utilised and analysis using non-parametric paired statistical analysis.
resultsMedical students (n=303) from 35 UK universities completed the pre-course questionnaire. Most students had not received targeted education on the AFP. They rated webinars useful for education (mean=4.2 s.d. 0.7). After the course, participants (n=66) expressed it was significantly convenient (mean=4.7), effective (mean=4.7) and suitably interactive (mean=4.4) (p<0.001 compared to neutral). Participants preferred short sessions over multiple days to the concept of a full-day event (mean=4.6 vs 3.1, p<0.001). Paired analysis of participants completing both forms (n=47) demonstrates a significant increase in self-rated understanding of AFP content, portfolio building, application process, acute clinical scenarios, interview technique and overall confidence in acquiring an AFP post (p<0.001). Follow-up identified 43 participants who completed the course were successful in their AFP application. This represents 7.8% of all successful AFP applicants in 2021.
conclusionsThis study evidences an accessible and effective webinar series for AFP education. Comprehensive webinar courses for similar topics and demographics may provide valuable utility in the provision of future medical education.
trial registrationEthics requirements were waived for this study by Bristol University Ethics Committee. All participants in this study consented for anonymous use of their data. As such the trial is not registered.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.