Evidence map›Paper›PMID 35095382›Full record

ArticleJournal of Taibah University Medical Sciences2022

Online family medicine training amid the COVID-19 crisis in KSA: A mixed-method study.

Unaib Rabbani, Amel A Sulaiman, Anas M Aldrees

Abstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2022. 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

3 authors.

Unaib RabbaniFamily Medicine Academy, Qassim Health Cluster, Buraidah, KSA.
Amel A SulaimanFamily Medicine Academy, Qassim Health Cluster, Buraidah, KSA.
Anas M AldreesFamily Medicine Academy, Qassim Health Cluster, Buraidah, KSA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Literature on the perceptions and experiences of postgraduate trainees and trainers regarding online methods of learning is scarce. We aimed to assess the perceptions and experiences of family medicine trainees and trainers regarding online learning during the novel coronavirus (COVID-19) pandemic in Qassim, KSA. Methods: This was a mixed-method study involving trainees and trainers at the Family Medicine Academy, Qassim. Quantitative data were collected using structured questionnaires from 36 trainees and 26 trainers. Qualitative data were collected through in-depth interviews with trainees ( Results: Among the trainees, 39% perceived online learning to be less effective than traditional classroom learning. Moreover, 61% and 64% of the respondents were concerned about the motivation and quality of online learning, respectively. Lack of direct contact with other students was the most commonly perceived concern among 80% of trainees. Among the trainers, the majority were either dissatisfied or neutral about participation and interaction, speakers' and students' motivation, the quality of online learning, and the online teaching experience. Qualitative data showed that online methods provide the advantages of learning from other institutions and flexibility, as well as a viable alternative during crises. However, there were issues with interaction, participation, and trainers' online teaching skills. Conclusion: Online learning has provided an opportunity to continue training during the COVID-19 crisis. However, there are widespread concerns regarding its effectiveness among trainees and trainers. There is a need to train trainers in online teaching and adopt interactive methods to increase trainees' interaction, motivation, and participation.

Indexed as

COVID-19LearningOnlinePostgraduate medical educationTeaching

Identifiers

PMID35095382
PMCPMC8782279

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.