Teledentistry use during the COVID-19 pandemic: perceptions and practices of Ontario dentists
Notice bibliographique
Résumé
BACKGROUND: Teledentistry has demonstrated to expedite oral health consultations, diagnosis, and treatment planning while mitigating COVID-19 transmission risk in dental offices. However, the use of teledentistry by clinicians remains suboptimal. Therefore, this study aimed to determine the perceptions and practices of teledentistry among dentists during the COVID-19 pandemic in Ontario, Canada, and identify associated factors. METHODS: A cross-sectional study using an online 39 item survey was conducted among Ontario dentists in December 2021. The questionnaire inquired about socio-demographic attributes, as well as perceptions of teledentistry use during the pandemic, and its future application. Descriptive statistics including frequency distribution of categorical variables and univariate analysis of continuous variables were conducted. Chi-square test was used determine the associations between professionals' attributes such as age, gender, years of practice, and location of practice, and respondents use of teledentistry. SPSS Version 28.0 was used for statistical analysis. RESULTS: Overall, 456 dentists completed the survey. The majority were general dentists (91%), worked in private practices (94%), were between 55 and 64 years old (33%), and had over 16 years of professional experience (72%). Approximately 49.3% reported using teledentistry; 13% started before the pandemic, and 36% during the pandemic. The most common reason for non-utilization was a lack of interest (54%). Respondents identified patient triage, consultation, and patient education as the three most important uses of teledentistry. Female dentists (p < 0.05), dentist working in private practice (p < 0.05), and those who worked in a single dental office (p < 0.05) adopted teledentistry more during the pandemic. Respondents who accessed more resources were more likely to report greater utilization of teledentistry, while those who reported being unconformable with teledentistry (p < 0.05) reported less utilization. Additionally, participants who reported feeling comfortable discussing teledentistry with others (p < 0.05), were more inclined to use it in the future. CONCLUSIONS: Participants expressed mixed perceptions toward teledentistry with more than half indicating it is reliable for patient triaging and patient follow-ups. Despite the increased utilization during the COVID-19 pandemic, participants' lack of interest in teledentistry emerged as a barrier to its use. More education and knowledge dissemination about teledentistry's areas of application and technical aspects of use can increase interest in this tool, which may lead to a greater uptake by dental professionals.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».