Virtual dental consultation services during the covid-19 pandemic: a review of the Non-Insured Health Benefits (NIHB) dental claims database
Notice bibliographique
Résumé
Introduction: The Covid-19 pandemic amplified access to care challenges faced by many priority populations, including First Nations and Inuit Peoples. During wave 1 of the pandemic in Canada, dental clinicians were mandated to postpone non-emergency dental services, and in many parts of the country, all dental operations ceased. Concerning this, the Non-Insured Health Benefits (NIHB) program approved “virtual dental consultation services” and decided to temporarily cover fees for consultation services by phone or other virtual methods to help assess clients’ needs and facilitate access to emergency dental care. The purpose of this study was to investigate the utilization of the virtual code by Canadian dentists during the beginning of the Covid-19 pandemic for children 18 years of age or younger. Methods: NIHB provided a secure data transfer portal for dental claims paid for the procedure “consultation with client for the emergency management and triage of client’s acute oral health care needs by phone or other virtual methods” and follow-up treatment with a date of service from April 1, 2020 to August 31, 2021. Data were analyzed using NCSS 2022 Statistical Software. Statistical analyses included frequencies, descriptive statistics, analysis of variance (ANOVA), and Chi-squared test. Results: Overall, 1040 patients 18 years of age or younger had a virtual visit with follow-up treatment between April 2020 and August 2021. The mean age was 10.5 ± 4.9 years and 54.3% were female. Most of the virtual consultations were completed by general practitioners 951 (91.4%) and pediatric dentists 86 (8.3%) and most initial virtual visits were completed in Quebec 358 (34.4%), Saskatchewan 266 (25.6%), Alberta 158 (15.2%), and Manitoba 120 (11.5%). More extractions were completed than any other type of dental treatment during the first visit following the initial consultation with a total of 417 extractions. The time between the initial consultation and the first follow-up visit was 0.9 1.9 months. Conclusions: Virtual visits were utilized during the Covid-19 pandemic for pediatric patients covered by NIHB and a greater uptake of virtual visits was seen in provinces with higher Registered First Nations and Inuit Peoples apart from Ontario. Teledentistry has the potential to be utilized for much more than dental emergencies to improve access to care, especially for remote and rural communities. Moving forward additional studies are needed to obtain parent/patient feedback on virtual consultations.
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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 | 0,000 | 0,000 |
| 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) | 0,000 | 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 ».