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Virtual Simulation of Intra-operative Decision-Making for Open Abdominal Aortic Aneurysm Repair: A Mixed Methods Analysis.
Jogerst, Kristen; Chou, Elizabeth; Tanious, Adam; Latz, Christopher; Boitano, Laura; Mohapatra, Abhisekh; Petrusa, Emil; Dua, Anahita.
Afiliação
  • Jogerst K; Department of Surgery, Mayo Clinic, Phoenix, Arizona; Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: jogerst.kristen@mayo.edu.
  • Chou E; Department of Vascular Surgery, Massachusetts General Hospital, Boston, Massachusetts.
  • Tanious A; Department of Vascular Surgery, Massachusetts General Hospital, Boston, Massachusetts.
  • Latz C; Department of Vascular Surgery, Massachusetts General Hospital, Boston, Massachusetts.
  • Boitano L; Department of Vascular Surgery, Massachusetts General Hospital, Boston, Massachusetts.
  • Mohapatra A; Department of Vascular Surgery, Massachusetts General Hospital, Boston, Massachusetts.
  • Petrusa E; Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts.
  • Dua A; Department of Vascular Surgery, Massachusetts General Hospital, Boston, Massachusetts.
J Surg Educ ; 79(4): 1043-1054, 2022.
Article em En | MEDLINE | ID: mdl-35379583
OBJECTIVE: To create and pilot test a novel open abdominal aortic aneurysm (AAA) repair virtual simulation focused on intraoperative decision-making. To identify if the simulation replicated real-time intra-operative decision-making and discover how learners' respond to this type of simulation. DESIGN: An explanatory sequential mixed methods study. We developed a step-by-step outline of major intra-operative decision points within a standard open AAA repair. Perioperative and intraoperative decision-making trees were developed and coded into an online virtual simulation. The simulation was piloted. Quantitative data was collected from the simulation platform. We then performed a qualitative thematic analysis on feedback from interviewed participants. SETTING: Four academic general and vascular surgical training programs across the US. PARTICIPANTS: Seventeen vascular and general surgery trainees and 6 vascular surgery faculty. RESULTS: Participants spent on average 27 minutes (range: 8-45 minutes) interacting with the interface. 93% of participants reported feeling they were making real intraoperative decisions. 85% said it added to their knowledge base. 96% requested additional simulations. 22 interviews were completed: 241 primary codes were collapsed into 21 parent codes, and 6 emerging themes identified. Themes included the benefit of how (1) "Virtual Learning Could Standardize the Training Experience"; how (2) "Dealing with the Unexpected" as a trainee is an important part of surgical education growth, and that this (3) "Choose Your Own Adventure" virtual format simulates this intraoperative growth experience. Participants requested a (4) "Looping Feature Feedback Diagram" for future simulation iterations and highlighted that (5) "Fancier is Not Necessarily More Educational." Finally, many trainees wondered about (6) "The Attending Impact" from the simulation: if faculty would notice a difference between trainees who did vs did not utilize the simulation for case preparation. CONCLUSIONS: Operative simulation training should focus on both technical skills and intra-operative decision-making, particularly "dealing with the unexpected." The learners' responses indicate that a low-fidelity, scalable, virtual platform can effectively deliver knowledge and allow for intra-operative decision-making practice in a remote learning environment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Especialidades Cirúrgicas / Aneurisma da Aorta Abdominal / Treinamento por Simulação Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: J Surg Educ Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Especialidades Cirúrgicas / Aneurisma da Aorta Abdominal / Treinamento por Simulação Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: J Surg Educ Ano de publicação: 2022 Tipo de documento: Article