1. Dental Faculty Accuracy When Using Diagnostic Codes: A Pilot Study.
- Author
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Sutton, Jeanne C., Fay, Rose-Marie, Huynh, Carolyn P., Johnson, Cleverick D., Liang Zhu, Quock, Ryan L., and Zhu, Liang
- Abstract
The aim of this study was to examine the accuracy of dental faculty members' utilization of diagnostic codes and resulting treatment planning based on radiographic interproximal tooth radiolucencies. In 2015, 50 full-time and part-time general dentistry faculty members at one U.S. dental school were shown a sequence of 15 bitewing radiographs; one interproximal radiolucency was highlighted on each bitewing. For each radiographic lesion, participants were asked to choose the most appropriate diagnostic code (from a concise list of five codes, corresponding to lesion progression to outer/inner halves of enamel and outer/middle/pulpal thirds of dentin), acute treatment (attempt to arrest/remineralize non-invasively, operative intervention, or no treatment), and level of confidence in choices. Diagnostic and treatment choices of participants were compared to "gold standard" correct responses, as determined by expert radiology and operative faculty members, respectively. The majority of the participants selected the correct diagnostic code for lesions in the outer one-third of dentin (p<0.0001) and the pulpal one-third of dentin (p<0.0001). For lesions in the outer and inner halves of enamel and the middle one-third of dentin, the correct rates were moderate. However, the majority of the participants chose correct treatments on all types of lesions (correct rate 63.6-100%). Faculty members' confidence in their responses was generally high for all lesions, all above 90%. Diagnostic codes were appropriately assigned by participants for the very deepest lesions, but they were not assigned accurately for more incipient lesions (limited to enamel). Paradoxically, treatment choices were generally correct, regardless of diagnostic choices. Further calibration is needed to improve faculty use and teaching of diagnostic codes. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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