Evidence map›Paper›PMID 36251639›Full record

ArticlePloS one2022

Challenges and barriers to e-learning experienced by trainers and training coordinators in the Ministry of Health in Saudi Arabia during the COVID-19 crisis.

Dalil Al Shamari

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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  3. Observational
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

1 author.

Dalil Al ShamariAssistant Deputyship of Hospital Affairs-MOH HQ- Riyadh, Kingdom of Saudi Arabia.ORCID 0000-0001-6193-6089

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe sudden shutdown caused by coronavirus disease 2019 has far-reaching effects, including on education and training. For this reason, traditional education and training have shifted to an online learning format. This study explores the challenges of and barriers to e-learning experienced by trainers and training coordinators in the Saudi Ministry of Health during the coronavirus disease 2019 pandemic.

methodsA cross sectional survey was distributed among participants by email. The sample included 262 trainers and training coordinators currently working for the Saudi Ministry of Health in hospitals, primary health care centers, and training centers (including general directorates of regions and clusters) in all 13 administrative regions of the country.

resultsMost participants exhibited an intermediate level of experience with e-learning (58.4%) and found the task of adapting to unfamiliar technology to be a challenge (22.1%). Limited social interaction in relation to cheating/plagiarism contexts, frequent technological failures, and a lack of policies or standards for e-learning were significant barriers for participants; these were mentioned by 46.9%, 43.5%, and 40.1% of participants, respectively.

conclusionsThis study highlights the challenges and barriers encountered in the adoption of e-learning by trainers and training coordinators in the Saudi Ministry of Health. The challenges of and barriers to e-learning included but were not limited to communication, assessment of trainees, adaptation to a lack of policy, and frequent technology failure. Adapting to new technologies is challenging for trainers and training coordinators, which is exacerbated by a lack of adequate policies and standards to eliminate cheating and avoid technological failures. These results could help bridge gaps in the use of e-learning by improving policies, holding workshops and training sessions, and providing continuous information technology support in e-learning.

Indexed as

Computer-Assisted InstructionCOVID-19Cross-Sectional StudiesHumansPandemicsSaudi Arabia

Identifiers

PMID36251639
PMCPMC9576076

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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.