Literature DB >> 33037373

Minimum intervention dentistry in the US: an update from a cariology perspective.

Constanza E Fernández1, Carlos González-Cabezas2, Margherita Fontana3.   

Abstract

Despite evidence strongly supporting use of non-invasive or minimally invasive procedures in caries management, there is still a large gap between evidence-based recommendations and application of these concepts in practice, with the practice of dentistry still largely dominated by invasive procedures in the US. This paper describes efforts in education and clinical practice in the US in the last decade to promote evidence-based cariology strategies, which support a minimum intervention dentistry (MID) philosophy. These include, for example: a competency-based core cariology curriculum framework which has been developed and disseminated. National education accreditation standards supporting caries management are likely to soon be changed to support assessment of best evidence in cariology. There are several ongoing efforts by organised dentistry and other groups involving dental educators, researchers and clinical practitioners to promote cariology concepts in practice, such as the development of evidence-based clinical practice guidelines for caries management by the American Dental Association. Within each of these strategies there are challenges, but also opportunities to expand the implementation of MID in the US, which create optimism for future improvements over time.

Year:  2020        PMID: 33037373     DOI: 10.1038/s41415-020-2219-x

Source DB:  PubMed          Journal:  Br Dent J        ISSN: 0007-0610            Impact factor:   1.626


  2 in total

Review 1.  Understanding dental caries as a non-communicable and behavioral disease: Management implications.

Authors:  Rodrigo A Giacaman; Constanza E Fernández; Cecilia Muñoz-Sandoval; Soraya León; Natalia García-Manríquez; Constanza Echeverría; Sebastián Valdés; Ramiro J Castro; Karla Gambetta-Tessini
Journal:  Front Oral Health       Date:  2022-08-24

2.  Dental Caries Risk Assessment in Children 5 Years Old and under via Machine Learning.

Authors:  Seyed-Ali Sadegh-Zadeh; Ali Rahmani Qeranqayeh; Elhadj Benkhalifa; David Dyke; Lynda Taylor; Mahshid Bagheri
Journal:  Dent J (Basel)       Date:  2022-09-01
  2 in total

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