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@PHDTHESIS{Heinen:1024771,
      author       = {Heinen, Katharina Svenja},
      othercontributors = {Wolfart, Stefan and Wolf, Michael},
      title        = {{M}ehrwert eines digitalen {A}nalysesystems für die
                      {B}ewertung von {Z}ahnpräparationen für eine
                      vollverblendete {K}rone in der vorklinischen {A}usbildung},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2026-00326},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2025},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University 2026; Dissertation, Rheinisch-Westfälische
                      Technische Hochschule Aachen, 2025},
      abstract     = {Objective: This study examines the added value of a digital
                      analysis software for evaluating student crown preparations
                      compared to conventional visual assessment using a
                      checklist.Materials and Methods: Twenty typodont teeth
                      prepared by students were assessed by twelve dentists. In
                      the first session, assessments were conducted conventionally
                      using a checklist with twelve criteria. After calibrating
                      the examiners and training them to use the analysis
                      software, in the second session, part of the preparations
                      was re-evaluated visually (n=10), while another part (n=5)
                      was evaluated using the software “prepCheck” (Sirona).
                      Statistical analyses focused on time required as well as
                      inter- and intra-rater reliability.Results: The results show
                      that the conventional method with a checklist demonstrated
                      high inter-rater reliability (correlation coefficient 0.88),
                      yet revealed fluctuations in intra-rater reliability.
                      Assessment of individual parameters, such as proximal
                      distance, was more consistent, while more complex criteria,
                      such as occlusal and circumferential reduction, showed
                      significant variability. Using “prepCheck,” five of the
                      twelve criteria were rated significantly higher, with a
                      generally lower standard deviation. However, the time
                      required for prepCheck was approximately seven times higher.
                      Conclusions: Despite the checklist, the conventional method
                      often lacks consistent intra-rater reliability, which can
                      lead to subjective evaluations in preclinical courses.
                      However, the high inter-rater reliability suggests that
                      calibrations and checklists help foster objectivity. The
                      prepCheck analysis software resulted in more objective and
                      consistent evaluations, with less stringent judgments and
                      reduced variability, suggesting greater accuracy in
                      assessment. Despite the high time investment, using such
                      software in dental education is promising, particularly for
                      promoting digital competence and consistent performance
                      evaluation.},
      cin          = {542000-2 ; 937710},
      ddc          = {610},
      cid          = {$I:(DE-82)542000-2_20140620$},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2026-00326},
      url          = {https://publications.rwth-aachen.de/record/1024771},
}