Evidence map›Paper›PMID 40702476›Full record

ArticleBMC medical education2025

Strategies for enhancing the quality of virtual education: perspectives of medical sciences faculty and students - a qualitative study.

Maryam Saeedi, Marzieh Panahi

Abstract read
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Maryam SaeediSaveh University of Medical Sciences, Saveh, Iran. maryamsaeedi2009@gmail.com.
Marzieh PanahiSaveh University of Medical Sciences, Saveh, Iran. panahi.m172@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVirtual education has gained prominence in medical sciences, introducing new challenges in student training. It is therefore essential to identify strategies ensuring virtual education effectively equips medical students with requisite knowledge and skills. This study aimed to explore strategies for improving virtual education quality from the perspectives of medical sciences faculty and students.

methodsThis qualitative study employed conventional content analysis. Participants included 11 faculty members and 54 medical sciences students selected through purposive sampling. Data were collected via semi-structured individual and focus group interviews and analyzed using the Graneheim and Lundman method.

resultsThe findings revealed two main categories: instructor-related strategies, including regular and scheduled teaching, engaging content design, alignment with in-person learning, effective virtual assessment, standardized assignments, active student engagement, and constructive interaction with students; and managerial/organizational strategies, including monitoring faculty teaching quality, empowering faculty members, supporting low-income students, and improving infrastructure.

conclusionEnhancing virtual education quality requires a multifaceted approach addressing both instructor-related and organizational dimensions. Implementing these strategies can foster more effective and inclusive virtual learning environments in medical education.

Indexed as

Education, DistanceEducation, MedicalEducation, Medical, UndergraduateFaculty, MedicalStudents, MedicalAdultFemaleFocus GroupsHumansInterviews as TopicMaleQualitative ResearchEducational strategiesMedical educationQualitative researchQuality improvementVirtual learning

Identifiers

PMID40702476
PMCPMC12285056

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.