Evidence map›Paper›PMID 37608276›Full record

ArticleBMC medical education2023

Medical students' knowledge and attitude towards tele-education and associated factors at University of Gondar, Ethiopia, 2022: mixed method.

Rorisa Tadele Hailemariam, Araya Mesfin Nigatu, Mequannent Sharew Melaku

Abstract read
In one paragraph

Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

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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 synthesis or guideline pooled it.

  1. Pooled it
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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.

Rorisa Tadele HailemariamDepartment of Health Informatics, School of Public Health, Arbaminch University, Arbaminch, Ethiopia. Rorisaroar@Gmail.Com.
Araya Mesfin NigatuDepartment of Health Informatics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Mequannent Sharew MelakuDepartment of Health Informatics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTele-education is the use of ICTs to conduct remote learning. It has been utilized to deliver ongoing training for many years. The world's modern culture is increasingly reliant on the use of information technology to enhance standards of education. However, in order to deploy successful e-learning systems in a developing nation, understanding of user characteristics is required in the creation and usage of e-learning systems. Thus, this study will enable us to understand the user's level of knowledge and attitude towards tele-education.

methodsAn institution-based quantitative cross-sectional study supported by qualitative design was used 397 medical students at University of Gondar from May to June 2022. A pre-tested self-administered structured questionnaires and in-depth interview were used to collect quantitative and qualitative data respectively. Thematic-content analysis was conducted using open-code software for analyzing qualitative data. Quantitative data was entered to Epi-data version 4.6 and exported to SPSS version 25 software for further statistical analysis. Binary logistic regression was conducted. The adjusted odds ratio(AOR) was used to measure the association between the dependent and independent variables.

resultsA total of 397 medical students were participated in this study with a response rate of 93.63%. In this study nearly six out of ten 230(57.9%) of study participants had good knowledge towards tele-education. More than half. 211(53.1%) of medical students participated on the study also had a favorable attitude towards tele-education. Factors associated with knowledge about tele-education is training related to ICT (AOR = 2.27 95% CI; (1.13,4.55)), knowledge of medical education digitization (AOR = 3.80 95% CI; (2.12,6.84)), high computer literacy (AOR = 2.82 95% CI; (1.68,4.72)) and favorable attitude towards tele-education (AOR = 3.52 95% CI; (2.12,5.84)). Factors associated with attitude towards tele-education is age group > 21 (AOR = 3.89, 95% CI; (1.33,11.39)) and good knowledge towards tele-education (AOR = 3.42,95%CI;(2.06,5.66)).

conclusionThe study revealed that the knowledge of the medical students was good and nearly five out of ten of them had a favorable attitude towards tele-education. The study shows that training related to ICT, knowledge of medical education digitization, high computer literacy and favorable attitude towards tele-education were associated significantly with knowledge of tele-education. In this study age group > 21 and good knowledge towards tele-education of study participants were associated significantly with attitude towards tele-education.

Indexed as

Students, MedicalCross-Sectional StudiesEducational StatusEthiopiaHumansLearningAttitudeGondarKnowledgeMedical studentsTele-education

Identifiers

PMID37608276
PMCPMC10463493

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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.