Evidence map›Paper›PMID 42426765›Full record

ArticleBMC oral health2026

Educational quality and viewer engagement of Youtube videos on ceramic implants: a cross-sectional study.

Mehmet Zahit Baş, Halil İbrahim Durmuş, Tevfik Kızılseki, Nuran Dağ

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Article in BMC oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mehmet Zahit BaşPrivate Practice, Mehmet Akif District, Sevgi Street No: 26, Flat: 10, Ümraniye, Istanbul, 34774, Turkey. hymehmetzahid@gmail.com.
Halil İbrahim DurmuşDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Adıyaman University, Adıyaman, Türkiye.
Tevfik KızılsekiDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Adıyaman University, Adıyaman, Türkiye.
Nuran DağDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Adıyaman University, Adıyaman, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCeramic implants are increasingly used as metal-free alternatives to titanium implants because of their favorable esthetic properties and biocompatibility. As patients frequently seek dental information online, YouTube has become an important source of patient-oriented health information. This study aimed to evaluate the educational quality and ceramic implant-specific content coverage of YouTube videos on ceramic implants and to examine whether viewer engagement metrics were associated with video quality scores.

methodsA cross-sectional analysis was conducted on 63 English-language YouTube videos identified through six predefined keyword searches. Videos were screened independently by two calibrated evaluators according to predefined eligibility criteria. During scoring, evaluators were blinded to viewer engagement metrics. Video quality was assessed using the Video Information and Quality Index, Global Quality Score, and an exploratory, non-validated dentistry-specific Specific Content Checklist developed to evaluate ceramic implant-specific content coverage. Viewer engagement metrics, including views, likes, comments, and subscriber counts, were recorded. Inter-rater reliability was assessed using intraclass correlation coefficients, and relationships between variables were analyzed using Pearson correlation tests.

resultsThe mean Video Information and Quality Index, Global Quality Score, and Specific Content Checklist scores were 3.27 ± 0.56, 3.34 ± 0.57, and 3.29 ± 1.68, respectively. Inter-rater reliability showed good agreement between evaluators, with average-measure intraclass correlation coefficients (two-way mixed-effects, consistency) ranging from 0.779 to 0.870. No statistically significant correlations were found between video quality scores and viewer engagement metrics; exact p values for these correlations ranged from .129 to .921. The wider dispersion of Specific Content Checklist scores indicated variability in ceramic implant-specific content coverage across videos.

conclusionsViewer engagement metrics should not be interpreted as reliable indicators of educational quality or ceramic implant-specific content coverage in YouTube videos on ceramic implants. Because the Specific Content Checklist was exploratory and non-validated, findings should be interpreted as indicators of content coverage rather than definitive measures of factual accuracy or clinical adequacy. Clinician-guided digital health literacy remains essential for helping patients interpret online ceramic implant information.

Indexed as

CeramicsDental ImplantsSocial MediaVideo RecordingCross-Sectional StudiesHumansDental ImplantsCeramic implantsDigital healthImplant dentistryPatient educationYouTubeZirconia implants

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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.