Evidence map›Paper›PMID 34825344›Full record

ArticleIrish journal of medical science2022

Development and validation of a tool for evaluating YouTube-based medical videos.

Mehmet Akif Guler, Esref Orkun Aydın

Abstract read
In one paragraph

Article in Irish journal of medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

24 citing papers in PubMed, 1 synthesis or guideline 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

2 authors.

Mehmet Akif GulerDepartment of Physical Medicine and Rehabilitation, Sultan II. Abdülhamid Han Training and Research Hospital, Selimiye, Tıbbiye Street Üsküdar, Istanbul, 34668, Turkey.ORCID http://orcid.org/0000-0003-3592-3385
Esref Orkun AydınDepartment of Physical Medicine and Rehabilitation, Gaziosmanpasa Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0003-3033-0978

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsToday, one of the ways to access medical information is the internet. Our objective was to develop a measurement tool to assess the quality of online medical videos.

methodsOnline videos covering a variety of subjects (COVID-19, low back pain, weight loss, hypertension, cancer, chest pain, vaccination, asthma, allergy, and cataracts) were evaluated using our Medical Quality Video Evaluation Tool (MQ-VET) by 25 medical and 25 non-medical professionals. Exploratory factor analysis, Cronbach's alpha, and correlation coefficients were used to assess the validity and reliability of the MQ-VET.

resultsThe final MQ-VET consisted of 15 items and four sections. The Cronbach's alpha reliability coefficient for the full MQ-VET was 0.72, and the internal consistency for all factors was good (between 0.73 and 0.81). The correlation between the DISCERN questionnaire scores and MQ-VET scores was significant.

conclusionCollectively, our findings indicated that the MQ-VET is a valid and reliable tool that will help to standardize future evaluations of online medical videos.

Indexed as

COVID-19Social MediaHumansInformation DisseminationReproducibility of ResultsVideo RecordingMedical videosQuestionnaireReliabilityValidityYouTube

Identifiers

PMID34825344
PMCPMC8616030

What OpenQuestion holds

Textmetadata
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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.