Access to oral health care for persons who are d/Deaf in Montreal: a focused ethnography
Notice bibliographique
Résumé
Background: Over five percent (N=1,266,120) of the Canadian population is reported to have some degree of hearing loss, of which 83,160 persons are profoundly deaf. Persons who are deaf are reported to have both poorer oral health, and oral health knowledge compared to their hearing counterparts in the population. Studies have indicated that due to communication barriers, accessing oral health care services can be a challenge for the d/Deaf community. There is, however, little research regarding the barriers that d/Deaf persons may encounter on their pathways to oral health care. Therefore, the present study was designed to explore the barriers and facilitators of access to oral health care for d/Deaf persons, particularly the Anglophone d/Deaf population in Montreal. Methodology: Using a participatory research framework, I conducted a focused ethnography to explore the experiences and perceptions of the Anglophone d/Deaf population in Montreal related to access to oral health care. Data collection constituted participant observation at social and educational activities (~50 hours), and 11 semi-structured interviews with d/Deaf participants. All interviews were conducted in American Sign Language (ASL), interpreted in English, and transcribed verbatim. Data analysis included three levels of analysis: 1) within-case; 2) across-case; and 3) ethnographic analysis. Critical theory of disability, and selected components of Grembowski and colleagues' ‘public health model of dental care process' guided data collection, analysis and interpretation. Results: The findings of this study reveal important gaps between the oral health care system and the needs of persons who are d/Deaf. As a result, the Anglophone d/Deaf population face several barriers on their pathways to oral health care, including the following: poor access to ASL interpreters for dental appointments; difficulties in interacting with dental office staff, including telephone communication and in waiting areas; and communication barriers with dentists both during consultation and procedures, resulting from the lack of awareness by dental professionals. Participants proposed several recommendations for overcoming these challenges, starting with health insurance to cover the cost of interpreters for dental appointments; office staff using Video Relay Services (VRS), text (SMS) or e-mail for booking appointments, and dentists asking patients for their preferred mode of communication, removing masks when speaking, and using gestures during procedures. Conclusion: The d/Deaf population is vulnerable to poor access to oral health care. Barriers that the Anglophone d/Deaf community in Montreal face on their oral health care pathways mainly result from a non-accommodating environment as well as the lack of awareness by dental professionals towards providing care to persons who are d/Deaf. Therefore, the Quebec government, dental educators, and community organizations supporting d/Deaf persons should take collaborative actions to improve access to oral health care for d/Deaf persons.
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,011 | 0,005 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 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 ».