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Dental Decision Simulation (DDSim): Development of a virtual training environment
Author(s) -
Johnson Kimberly S.,
Schmidt Andrew M.,
Bader James D.,
Spallek Heiko,
Rindal D. Brad,
Enstad Chris J.,
Fricton James R.,
Asche Stephen E.,
Kane Sheryl M.,
Thirumalai Vijay,
Godlevsky Olga V.,
Johnson Neil J.,
Acharya Amit,
Rush William A.
Publication year - 2020
Publication title -
journal of dental education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.53
H-Index - 68
eISSN - 1930-7837
pISSN - 0022-0337
DOI - 10.1002/jdd.12303
Subject(s) - set (abstract data type) , computer science , intervention (counseling) , plan (archaeology) , virtual reality , control (management) , behavior change , transfer of learning , medical education , medicine , human–computer interaction , nursing , artificial intelligence , archaeology , pathology , history , programming language
Purpose Case‐based simulations are powerful training tools that can enhance learning and drive behavior change. This is an overview of the design/development of Dental Decision Simulation (DDSim), a web‐based simulation of an electronic dental record (EDR). The purpose was to use DDSim to train dentists to make evidence‐based treatment planning decisions consistent with current evidence. This simulated EDR provides case‐based information in support of a set of defined evidence‐based learning objectives. Methods The development of this complex simulation model required coordinated efforts to create several components: identify behavior changes, case authoring mechanism, create virtual patient visits, require users to make treatment plan decisions related to learning objectives, and a feedback mechanism to help users recognize departures from those learning objectives. This simulation was evaluated in a 2‐arm, clinic‐randomized, controlled pilot study examining the extent to which DDSim changed dentists’ planned treatment to conform to evidence‐based treatment guidelines relative to change in dentists not exposed to DDSim. Outcomes were measured by comparing preintervention and postintervention patient EDR treatment data. Results Changes in behavior over time did not favor intervention or control clinics. Conclusion DDSim provides a standardized learning platform that cannot be achieved through the use of live patients. Both live patients and case‐based simulations can be used to transfer knowledge and skill development. DDSim offers the advantage of providing a platform for developing treatment planning skills in a low‐risk environment. However, further research examining behavior change is needed.