Soon after the previous issue of the International Journal on Dental Hygiene, the world has changed
Notice bibliographique
Résumé
Although circumstances and the degree to which Members of our Federation have been affected by the COVID-19 virus differ a great deal from country to country, many Dental Hygienists around the world were unable to work. To support and inform her members, IFDH gathered more than 50 resources and guidelines on its website. See www.ifdh.org. The IFDH fielded a survey supported by Proctor & Gamble (Crest/Oral-B) to better understand the impact of the COVID-19 pandemic on the dental hygiene profession and identify opportunities to support global dental hygienists, dental therapists and oral health therapists through these difficult times. The survey was sent to 34 national associations to field to their members between 5 May and 31 May 2020. 9866 respondents completed the survey, representing 30 countries. The countries with the largest representation included the United States (83%), Canada (3%), the United Kingdom (3%), Italy (2%) and Korea (2%). There was a good representation across years in practice. 82% of the respondents have an Associate or Bachelor’s Degree, and 71% work in a general private practice setting. During the pandemic, 52% of respondents are not working at all, 20% are providing restricted in-office treatment (non-aerosol producing) and 15% are providing normal in-office treatment. 14% of the respondents are receiving no compensation, while 86% are receiving compensation from the government and/or their employer. Responses regarding personal protective equipment (PPE) and other protective measures suggest their is a PPE shortage. Gloves (86%), face shields (76%) and surgical masks (69%) are the most commonly reported PPE. About half of the respondents said they are wearing an N95 respirator, goggles, full gown and/or hairnet. Practices are taking other protective measures, such as cleaning/disinfecting all surfaces in the operatory after treatment (85%) and screening patients for symptoms when they arrive (81%) and by phone when they make their appointment (71%). Preprocedural rinses are being used by 57% of respondents for all procedures, with hydrogen peroxide rinse being the most common. 90% of respondents have not had COVID-19 symptoms or are diagnosed wit hit. 9% had symptoms, but were not tested. Less that 2% were diagnosed with COVID-19, and about half of those diagnoses had symptoms. For the summary with detailed results: see www.ifdh.org We sincerely hope we all can continue our normal life soon, as IFDH continues to focus on our agenda as discussed at our 2020 House of Delegates meeting in Brisbane, including our Global Oral Health Summit and Executive Leadership Forum planned for 2021.
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 | 0,003 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,006 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,073 | 0,023 |
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 ».