Perceptions and attitudes of Canadian dentists toward digital and electronic technologies.
Notice bibliographique
Résumé
OBJECTIVES: To determine dentists" perceptions of the usefulness of digital technologies in improving dental practice and resolving practice issues; to determine dentists" willingness to use digital and electronic technologies; to determine perceived obstacles to the use of digital and electronic technologies in dental offices; and to determine dentists" attitudes toward Internet privacy issues. METHODS: An anonymous, self-administered survey of Canadian dentists was conducted by mail. A potential mailing list of 14,052 active Canadian dentists was compiled from the 2003 records of provincial regulatory bodies. For each province, 7.8% of the dentists were randomly selected with the help of computer software. The surveys were mailed to this stratified random sample of 1,096 dentists. RESULTS: The response rate was 28% (312/1,096). Of the 312 respondents, 4 (1%) were in full-time academic positions, 16 (5%) were not practising, and 9 (3%) provided incomplete data. Therefore, 283 survey responses were available for analysis. More than 60% of the dentists indicated that computer technology was quite capable or very capable of improving their current practice by increasing patient satisfaction, decreasing office expenses, increasing practice efficiency, increasing practice production, improving record quality and improving case diagnosis and treatment planning. More than 50% of respondents reported that digital photography and digital radiography were quite useful or very useful. About 70% of the dentists agreed or strongly agreed with using digital and electronic technologies to consult with dental specialists. Cost of equipment and lack of comfort with technology were regarded as significant or insurmountable obstacles by substantial proportions of respondents. CONCLUSIONS: Respondents generally viewed digital and electronic technologies as useful to the profession. Increased office efficiency and production were perceived as positive effects of digital and electronic technologies. These technologies are more often used for consulting with colleagues rather than for consulting with patients. The major obstacles to the general use of these technologies were related to cost, lack of comfort with technology and differences in legislation between provinces and countries. Privacy issues were not perceived as a significant barrier.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».