Decision making in dentistry. Part II: Clinical applications of decision methods

McCreery, Ann M.; Truelove, Edmond L.

doi:10.1016/0022-3913(91)90302-d

Cited by 19 publications

(8 citation statements)

References 52 publications

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“…Inconsistency in radiographic interpretation between observers is a well‐recognized problem (McCreery & Truelove 1991a). This study has shown that both experienced and inexperienced clinicians are influenced to varying degrees by either the restorative status of the tooth or the extent of caries in coronal tooth tissue when assessing the apical status.…”

Section: Discussionmentioning

confidence: 99%

“…It was noticeable that for the less experienced observer, the removal of the coronal tooth tissue status led to diagnostic uncertainty. McCreery & Truelove (1991b) noted that decision analysis involves the identification of all available choices and the potential outcomes of each choice. When the less experienced clinician was denied the visual prompt of the coronal aspects of the tooth, a proportion of the decision‐making pathway was no longer available to them nor was the quantifiable experience of the more experienced clinician.…”

Section: Discussionmentioning

confidence: 99%

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The influence of coronal tooth tissue in the diagnosis of apical pathosis

et al. 2009

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The influence of coronal tooth tissue in the diagnosis of apical pathosis

et al. 2009

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“…Second, CDA reveals the environmental variables that need to be considered when making a decision in a clinical setting [ 49 , 59 , 60 ]. This can be useful in decision-making not only for physicians, but also for medical insurance companies or decision-makers in healthcare administration [ 32 , 33 , 61 ].…”

Section: Bodymentioning

confidence: 99%

Clinical Decision Analysis using Decision Tree

Bae¹

2014

Epidemiol Health

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The clinical decision analysis (CDA) has used to overcome complexity and uncertainty in medical problems. The CDA is a tool allowing decision-makers to apply evidence-based medicine to make objective clinical decisions when faced with complex situations. The usefulness and limitation including six steps in conducting CDA were reviewed. The application of CDA results should be done under shared decision with patients’ value.

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“…The process of decision making has been examined widely to try and rationalize how it occurs and to develop decision analysis as a useful clinical tool. Various methods of decision analysis have been applied, including Bayes' theorem, decision tree design, receiver operating characteristic curves and sensitivity analysis (McCreery & Truelove 1991b). It has been suggested that variation in treatment decisions stem essentially from two main sources, perceptual variation and judgmental variation (Kay & Nuttall 1995).…”

Section: Introductionmentioning

confidence: 99%