Literature DB >> 9088698

What do we know about how dentists make caries-related treatment decisions?

J D Bader1, D A Shugars.   

Abstract

A conceptual model of dentists' treatment decision-making is discussed. The model suggests that dentists do not use a hypothetico-deductive process for the diagnosis of caries. Rather, caries is identified through a process of pattern recognition that in most instances is inextricably linked to intervention decisions. Individual dentists have inventories of caries scripts that, when matched by a particular clinical presentation, lead to decisions to treat. The scripts comprise salient factors that are dependent on individual dentist's characteristics and biases, and thus vary substantially across dentists. The scripts tend to be complex, highly visual, and difficult to describe. All of these characteristics suggest that efforts to improve dentists' caries-related treatment decisions should acknowledge this knowledge structure and be designed to change the salient factors or interpretations of salient factors within the context of the caries script.

Mesh:

Year:  1997        PMID: 9088698     DOI: 10.1111/j.1600-0528.1997.tb00905.x

Source DB:  PubMed          Journal:  Community Dent Oral Epidemiol        ISSN: 0301-5661            Impact factor:   3.383


  33 in total

1.  Validation of the Spanish version of the "Questionnaire on the treatment of approximal and occlusal caries".

Authors:  Begoña Ruiz; Iván Urzúa; Rodrigo Cabello; Gonzalo Rodríguez; Ivar Espelid
Journal:  Clin Oral Investig       Date:  2013-01       Impact factor: 3.573

2.  Use of caries-preventive agents in children: findings from the dental practice-based research network.

Authors:  J L Riley; Joshua S Richman; D Brad Rindal; Jeffrey L Fellows; Vibeke Qvist; Gregg H Gilbert; Valeria V Gordan
Journal:  Oral Health Prev Dent       Date:  2010       Impact factor: 1.256

3.  Dentists' use of caries risk assessment in children: findings from the Dental Practice-Based Research Network.

Authors:  Joseph L Riley; Vebeke Qvist; Jeffrey L Fellows; D Brad Rindal; Joshua S Richman; Gregg H Gilbert; Valeria V Gordan
Journal:  Gen Dent       Date:  2010 May-Jun

4.  Can low accuracy disease risk predictor models improve health care using decision support systems?

Authors:  D K Benn; D D Dankel; S H Kostewicz
Journal:  Proc AMIA Symp       Date:  1998

5.  Patient age and dentists' decisions about occlusal caries treatment thresholds.

Authors:  N Kakudate; F Sumida; Y Matsumoto; Y Yokoyama; G H Gilbert; V V Gordan
Journal:  Oper Dent       Date:  2014-05-08       Impact factor: 2.440

6.  Restorative treatment thresholds for interproximal primary caries based on radiographic images: findings from the Dental Practice-Based Research Network.

Authors:  Valeria V Gordan; Cynthia W Garvan; Marc W Heft; Jeffrey L Fellows; Vibeke Qvist; D Brad Rindal; Gregg H Gilbert
Journal:  Gen Dent       Date:  2009 Nov-Dec

7.  How dentists diagnose and treat defective restorations: evidence from the dental practice-based research network.

Authors:  Valeria V Gordan; Cynthia W Garvan; Joshua S Richman; Jeffrey L Fellows; D Brad Rindal; Vibeke Qvist; Marc W Heft; O Dale Williams; Gregg H Gilbert
Journal:  Oper Dent       Date:  2009 Nov-Dec       Impact factor: 2.440

8.  Dental caries: A complete changeover (Part II)-Changeover in the diagnosis and prognosis.

Authors:  Usha Carounanidy; R Sathyanarayanan
Journal:  J Conserv Dent       Date:  2009-07

9.  Diagnostic thinking and information used in clinical decision-making: a qualitative study of expert and student dental clinicians.

Authors:  Gerardo Maupomé; Stuart Schrader; Saurabh Mannan; Lawrence Garetto; Hafsteinn Eggertsson
Journal:  BMC Oral Health       Date:  2010-05-13       Impact factor: 2.757

10.  Re-Treatment Decisions for Failed Posterior Restorations among Dentists in Kuwait.

Authors:  Qasem Alomari; Bader Al-Kanderi; Muawia Qudeimat; Ridwaan Omar
Journal:  Eur J Dent       Date:  2010-01
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