Volume 9, Issue 3 (9-2020)                   3dj 2020, 9(3): 32-39 | Back to browse issues page

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Moein N, Daneshvar M M. Title Evaluation of the effect of scad training software on the shade mathching ability of guilan dental students in 2019. 3dj. 2020; 9 (3) :32-39
URL: http://3dj.gums.ac.ir/article-1-412-en.html
1- Assisant professor, Department of Operative Dentistry , School of Dentistry, Guilan University of Medical Sciences, Rasht, Iran.
2- Postgraduate Student of Prosthodontics, Department Of Prosthodontics Dentistry, School Of Dentistry , Guilan University of Medical Sciences, Rasht, Iran
Abstract:   (67 Views)
Introduction: The aim of this study was the evaluation of the effect of scad training software on shade matching ability of dental students.
Materials and Methods: 84 students who passed shade matching topic in their theoritical courses were devided into two groups of case and control.They passed the exam of scad software in two steps. Interval of tests was six weeks.The case group unlike the control group get the training of scad between these two steps.The data were entered into SPSS software (version 21) to determine the progress of the students ability for shade mathching after training.
Results: : In this study the case group showed significant progress in results Their score varied in various tests from the minimum 0.9 to the maximum 9.2 . According to the results, training effect of the scad software method was better than conventional method in Color differentiation in Exact Match  𝜫  /100 (P,0.0001) and from statistical point of view it has been improved shade matching ability rather than conventional method as much as 6 score. Also Difference in Matching Pair Total Light & Dark /29   evaluation was statisticaly significant that means after training , scad group had less wrong Diagnosis than control group. (P,0.001)
Conclusion:Training with scad software had significant effect on increasing the accuracy of students shade matching abbility.
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Type of Study: Original article | Subject: So on
Received: 2021/03/27 | Accepted: 2020/09/28 | Published: 2020/09/28

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