Evidence map›Paper›PMID 39915789›Full record

ArticleBMC medical education2025

The process of obtaining information about COVID-19 among students of physiotherapy and rehabilitation department.

Duygu Ilgin Gunduz, Erhan Secer, Melda Baser Secer

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Duygu Ilgin GunduzFaculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Manisa Celal Bayar University, Manisa, Turkey. duygulgn@gmail.com.
Erhan SecerManisa Health Services Vocational School, Manisa Celal Bayar University, Manisa, Turkey.
Melda Baser SecerManisa Health Services Vocational School, Manisa Celal Bayar University, Manisa, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis cross-sectional study was conducted to determine the process of obtaining information about COVID-19 infection among students of the Department of Physiotherapy and Rehabilitation (DPR) by examining the topic of information seeking, information source preference, and factors influencing these preferences.

methodsA total of 495/645 (76.74%) DPR students participated in the study. The data collection form prepared by the researchers was administered between May-June 2022 using face-to-face interview technique. Students' sociodemographic data (age, biological sex, body mass index) and the main topics they researched about COVID-19, information sources, and factors influencing their choice of sources were recorded.

resultsStudents often preferred to use internet social media (61.00%) and sources they considered reliable (81.40%) to access basic clinical information about COVID-19 (the routes of transmission = 30.30%, the main symptoms = 26.30%, number of cases = 22.60%). While biological sex (p

conclusionDPR students should be supported with reliable and up-to-date social media-based digital content prepared by experts in the field about physiotherapy practice and with easy access to scientific data, even in the late stages of pandemic processes such as COVID-19, when the need for access to information is high due to their professional role.

Indexed as

COVID-19Information Seeking BehaviorPhysical Therapy SpecialtyStudents, Health OccupationsAdultCross-Sectional StudiesFemaleHumansMalePhysical Therapy ModalitiesSARS-CoV-2Social MediaYoung AdultCoronavirusInformation seeking behaviourPhysical therapy

Identifiers

PMID39915789
PMCPMC11800398

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.