Patient perspective regarding the role of social media, offline reputation, and practitioner characteristics in orthodontist selection: a cross-sectional study.
- 1Orthodontic resident, Orthodontic Division, Department of Pedodontics and Preventive Dentistry, Faculty of Dentistry, Srinakharinwirot University, 114 Sukhumvit 23, Bangkok, 10110, Thailand.
- 2Lecturer, Orthodontic Division, Department of Pedodontics and Preventive Dentistry, Faculty of Dentistry, Srinakharinwirot University, 114 Sukhumvit 23, Bangkok, 10110, Thailand.
- 3Lecturer, Orthodontic Division, Department of Pedodontics and Preventive Dentistry, Faculty of Dentistry, Srinakharinwirot University, 114 Sukhumvit 23, Bangkok, 10110, Thailand. [email protected].
Abstract
Background
Determinants 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.Methods
This 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).Results
Instagram, 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.Conclusions
Patients 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.
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BibTeX
@article{liengjohor2026patient,
title = {{Patient perspective regarding the role of social media, offline reputation, and practitioner characteristics in orthodontist selection: a cross-sectional study.}},
author = {Prangrath Liengjohor and Saranya Serirukchutarungsee and Neeranart Thirasupa},
journal = {BMC oral health},
year = {2026},
month = jul,
doi = {10.1186/s12903-026-09420-1},
url = {https://europepmc.org/article/MED/42897579},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Patient perspective regarding the role of social media, offline reputation, and practitioner characteristics in orthodontist selection: a cross-sectional study.
AU - Prangrath Liengjohor
AU - Saranya Serirukchutarungsee
AU - Neeranart Thirasupa
PY - 2026
DA - 2026/07/01
JO - BMC oral health
DO - 10.1186/s12903-026-09420-1
UR - https://europepmc.org/article/MED/42897579
AB - Background Determinants 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.Methods This 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).Results Instagram, 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.Conclusions Patients 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.
SN - 1472-6831
ER -