Evidence map›Paper›PMID 33623740›Full record

ArticleJournal of microscopy and ultrastructure

Successful Use of Virtual Microscopy in the Assessment of Practical Histology during Pandemic COVID-19: A Descriptive Study.

Mona G Amer, Dalal M Nemenqani

Open access · greenAbstract read
In one paragraph

Article in Journal of microscopy and ultrastructure. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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  14. Evaluating e-Learning in the Pathology Course During the COVID-19 Pandemic.Advances in medical education and practice · 2022
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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

2 authors at 1 institution in 1 country.

Mona G AmerDepartment of Anatomy and Histology, College of Medicine Taif University, Taif, Saudi Arabia.
Dalal M NemenqaniDepartment of Medical Education, College of Medicine Taif University, Taif, Saudi Arabia.
Zagazig University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPractical knowledge and skills of microscopy has classically been delivered for medical students using conventional microscopes (CMs). Using virtual microscopy (VM) in teaching practical histology was established during distance learning for Taif medical students during COVID 19 pandemic period. However, the suitable assessment methods for student performance during distance learning are still debatable. We focused on how to ensure the learner's achievement of course practical outcomes and learning domain. AIMS AND

objectivesThis study aimed to ascertain whether using VM to evaluate student learning in practical Histology during distance education programs and if moving to VM affecting students' scores. MATERIALS AND

methodsFor the first time, we used VM during online objective structural practical examination (OSPE) of 3

resultsThe average student score was 4.63 ± 0.51 with no significant difference from previous student's scores. The net students' feedback was positive. Their average satisfaction on all items ranged from 3.7 to 4.25 on Likert scale. Students recorded the easy image access at any time and place with VM as the most distinctive feature.

conclusionOur results indicated that VM is not only an effective method in teaching histology but also it is an assessment method for measuring student performance during online assessment.

Indexed as

Assessmentdistance learningvirtual microscopy

Identifiers

PMID33623740
PMCPMC7883501
OpenAlexW3110803152

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.