Evidence map›Paper›PMID 42897579›Full record

ArticleBMC oral health2026

Patient perspective regarding the role of social media, offline reputation, and practitioner characteristics in orthodontist selection: a cross-sectional study.

Prangrath Liengjohor, Saranya Serirukchutarungsee, Neeranart Thirasupa

Abstract read
In one paragraph

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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Prangrath LiengjohorOrthodontic resident, Orthodontic Division, Department of Pedodontics and Preventive Dentistry, Faculty of Dentistry, Srinakharinwirot University, 114 Sukhumvit 23, Bangkok, 10110, Thailand.
Saranya SerirukchutarungseeLecturer, Orthodontic Division, Department of Pedodontics and Preventive Dentistry, Faculty of Dentistry, Srinakharinwirot University, 114 Sukhumvit 23, Bangkok, 10110, Thailand.
Neeranart ThirasupaLecturer, Orthodontic Division, Department of Pedodontics and Preventive Dentistry, Faculty of Dentistry, Srinakharinwirot University, 114 Sukhumvit 23, Bangkok, 10110, Thailand. neeranart@g.swu.ac.th.ORCID https://orcid.org/0000-0002-7520-1881

Funding

Dental Hospital, Faculty of Dentistry, Srinakharinwirot University 410/2568
6 · The paper itself

Abstract

backgroundDeterminants of orthodontist selection in the modern era remain inconsistent, especially roles of online versus traditional factors. This study compared social media, offline reputation, and orthodontist characteristics associated with orthodontist selection.

methodsThis cross-sectional analytical study was conducted among 330 working-age adults seeking orthodontic treatment (mean age 29.9 ± 3.3 years). Participants completed a validated three-part questionnaire: 1) demographic data and social media usage behavior; 2) factors associated with orthodontist selection, categorized into three domains: social media (e.g., credibility, online presence), offline reputation (e.g., awards, word-of-mouth), and orthodontist characteristics (e.g., caring, education, working age); and 3) the decision-making process of orthodontist selection, which served as the dependent variable. Responses in Parts 2 and 3 were rated on a five-point Likert scale. Stepwise multiple linear regression analysis was applied to identify significant factors (P < 0.05).

resultsInstagram, Facebook, and TikTok were the most frequently used platforms, with peak activity during night hours (20:01-00:00; 35.2%). Five variables were significantly associated with orthodontist selection. The strongest predictor was orthodontist's online presence (β = 0.200, P < 0.001), followed by perceived caring (β = 0.170, P = 0.004), word-of-mouth recommendations (β = 0.139, P = 0.007), educational background (β = 0.136, P = 0.016), and working age orthodontist (β = 0.130, P = 0.013). The model explained 21% of the variance.

conclusionsPatients perspective in orthodontist selection is related to a combination of these domains. While an online presence demonstrated the strongest correlation, offline reputation and orthodontist characteristics remain critical factors.

Indexed as

OrthodontistsSocial MediaAdultCross-Sectional StudiesDecision MakingDigital MediaFemaleHumansMaleSurveys and QuestionnairesDecision makingHuman characteristicsOrthodonticsReputationSocial media

Identifiers

PMID42897579
PMCPMC13681800

What OpenQuestion holds

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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.