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Enregistrement W2059382869 · doi:10.1007/s13191-014-0349-z

The Need for Geriatric Dental Education

2014· article· en· W2059382869 sur OpenAlexaboutno aff
Shilpa S. Shetty

Notice bibliographique

RevueThe Journal of Indian Prosthodontic Society · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueInnovations in Medical Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineDentistry

Résumé

récupéré en direct d'OpenAlex

Dear colleagues. Wish you all a happy, prosperous and a productive year!! An eventful year has passed by. And yet there is so much more to be achieved!! And so much more to give back to the society. There is a rapid growth of the geriatric population amidst us. The report, by the United Nations Population Fund, found the number of over-60s in our country will increase from around 100 million today to more than 300 million by 2050 and warned the government to prepare for the additional strain this will put on families and health and welfare services. It also predicted the number of over-80s will increase seven fold. “These findings underline that with a growing elderly population in the country there is a need to strengthen geriatric care services in the existing public health system so that the increasing care demands of the elderly can be met,” the report warned. It also said the government must increase the availability and take-up welfare benefits for the elderly poor [1]. The rapid growth in the elderly population in a developing country such as India poses social and financial challenges by causing a shift towards non-communicable diseases and increase in chronic diseases such as cardiovascular disease, hypertension, diabetes and cancer. The link between oral health and general health are particularly pronounced in older populations and impairs their quality of life [2]. To address the increasing health challenges and demands of a growing geriatric population, undergraduates and graduate students in dental schools should be given comprehensive or holistic health assessment training. Cost-effective modern educational strategies and educational tools such as problem-based learning will help to overcome the dearth of trained faculty in geriatric dentistry [3]. Multidisciplinary health-care approaches and extended health-care team work are of vital importance to older patients who could benefit physically and psychologically from more efficient dental treatment. Measures to help older people remain healthy and active are a necessity in developing countries such as India for effective social and economic development [4]. The need for geriatric dental education was realized in the late 1970s. Yellowitz and Saunders [5], Kress and Vidmar [6] and Ettinger [7] were the pioneers who championed the cause for special education needs for geriatric dentistry. Geriatric dentistry is better developed in most of the developed nations such as the USA, Canada, UK, Australia, and the European nations, as compared to the developing world. As stated by Nitschke [8], gerodontology does not compete with other traditional specialties but only complements them. They have identified eleven domains in which geriatric dentistry was included in various basic sciences and clinical subjects of dentistry after analysis of the undergraduate curriculum in Germany, Austria, and Switzerland. This can provide the starting point to develop a curriculum for various categories of courses in geriatric dentistry. In developing countries, geriatric dentistry has not received the attention of dental professionals and policymakers, though one-sixth of the total world population of elderly now lives in the developing countries of Southeast Asia [4]. It is time that the academicians and policy makers promote geriatric dentistry education at the undergraduate and postgraduate levels in our country whereby the teaching of geriatric dentistry starts right from the first year BDS. Therefore the society at large would benefit if we stress the need to educate our students so that they will be equipped with competitive skills which will enable them to treat the growing geriatric population. In this way we can contribute to enhancing the quality of life of the elderly population.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,412
Score d'incertitude au seuil0,325

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,312
Écart entre enseignants0,302 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2014
Routes d'admission1
Résumé présentoui

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