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Azher S, Mills A, He J, Hyjazie T, Tokuno J, Quaiattini A, Harley JM. Findings Favor Haptics Feedback in Virtual Simulation Surgical Education: An Updated Systematic and Scoping Review. Surg Innov 2024; 31:331-341. [PMID: 38486132 PMCID: PMC11047018 DOI: 10.1177/15533506241238263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
BACKGROUND Virtual simulations (VSs) enhance clinical competencies and skills. However, a previous systematic review of 9 RCT studies highlighted a paucity of literature on the effects of haptic feedback in surgical VSs. An updated systematic and scoping review was conducted to encompass more studies and a broader range of study methodologies. METHODS A systematic literature search was conducted on July 31, 2023, in MEDLINE, Embase, and Cochrane. English language studies comparing haptic vs non-haptic conditions and using VSs were included. Studies were evaluated and reported using PRISMA-ScR guidelines. RESULTS Out of 2782 initial studies, 51 were included in the review. Most studies used RCT (21) or crossover (23) methodologies with medical residents, students, and attending physicians. Most used post-intervention metrics, while some used pre- and post-intervention metrics. Overall, 34 performance results from studies favored haptics, 3 favored non-haptics, and the rest showed mixed or equal results. CONCLUSION This updated review highlights the diverse application of haptic technology in surgical VSs. Haptics generally enhances performance, complements traditional teaching methods, and offers personalized learning with adequate simulator validation. However, a sparsity of orienting to the simulator, pre-/post-study designs, and small sample sizes poses concerns with the validity of the results. We underscore the urgent need for standardized protocols, large-scale studies, and nuanced understanding of haptic feedback integration. We also accentuate the significance of simulator validation, personalized learning potential, and the need for researcher, educator, and manufacturer collaboration. This review is a guidepost for navigating the complexities and advancements in haptic-enhanced surgical VSs.
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Affiliation(s)
- Sayed Azher
- Department of Surgery, McGill University, Montreal, QC, Canada
- Simulation, Affect, Innovation, Learning, and Surgery (SAILS) Lab, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
| | - Aralia Mills
- Simulation, Affect, Innovation, Learning, and Surgery (SAILS) Lab, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
| | - Jinzhi He
- Simulation, Affect, Innovation, Learning, and Surgery (SAILS) Lab, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
| | - Taliah Hyjazie
- Simulation, Affect, Innovation, Learning, and Surgery (SAILS) Lab, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
| | - Junko Tokuno
- Steinberg Centre for Simulation and Interactive Learning, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
| | - Andrea Quaiattini
- Institute of Health Sciences Education, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
- Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, QC, Canada
| | - Jason M. Harley
- Department of Surgery, McGill University, Montreal, QC, Canada
- Simulation, Affect, Innovation, Learning, and Surgery (SAILS) Lab, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
- Steinberg Centre for Simulation and Interactive Learning, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
- Institute of Health Sciences Education, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
- Research Institute of the McGill University Health Centre, Montreal, QC, Canada
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Benrimoh D, Tanguay-Sela M, Perlman K, Israel S, Mehltretter J, Armstrong C, Fratila R, Parikh SV, Karp JF, Heller K, Vahia IV, Blumberger DM, Karama S, Vigod SN, Myhr G, Martins R, Rollins C, Popescu C, Lundrigan E, Snook E, Wakid M, Williams J, Soufi G, Perez T, Tunteng JF, Rosenfeld K, Miresco M, Turecki G, Gomez Cardona L, Linnaranta O, Margolese HC. Using a simulation centre to evaluate preliminary acceptability and impact of an artificial intelligence-powered clinical decision support system for depression treatment on the physician-patient interaction. BJPsych Open 2021; 7:e22. [PMID: 33403948 PMCID: PMC8058891 DOI: 10.1192/bjo.2020.127] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Recently, artificial intelligence-powered devices have been put forward as potentially powerful tools for the improvement of mental healthcare. An important question is how these devices impact the physician-patient interaction. AIMS Aifred is an artificial intelligence-powered clinical decision support system (CDSS) for the treatment of major depression. Here, we explore the use of a simulation centre environment in evaluating the usability of Aifred, particularly its impact on the physician-patient interaction. METHOD Twenty psychiatry and family medicine attending staff and residents were recruited to complete a 2.5-h study at a clinical interaction simulation centre with standardised patients. Each physician had the option of using the CDSS to inform their treatment choice in three 10-min clinical scenarios with standardised patients portraying mild, moderate and severe episodes of major depression. Feasibility and acceptability data were collected through self-report questionnaires, scenario observations, interviews and standardised patient feedback. RESULTS All 20 participants completed the study. Initial results indicate that the tool was acceptable to clinicians and feasible for use during clinical encounters. Clinicians indicated a willingness to use the tool in real clinical practice, a significant degree of trust in the system's predictions to assist with treatment selection, and reported that the tool helped increase patient understanding of and trust in treatment. The simulation environment allowed for the evaluation of the tool's impact on the physician-patient interaction. CONCLUSIONS The simulation centre allowed for direct observations of clinician use and impact of the tool on the clinician-patient interaction before clinical studies. It may therefore offer a useful and important environment in the early testing of new technological tools. The present results will inform further tool development and clinician training materials.
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Affiliation(s)
- David Benrimoh
- Department of Psychiatry, McGill University, Canada; Aifred Heath Inc., Montreal, Canada; and Faculty of Medicine, McGill University, Canada
| | - Myriam Tanguay-Sela
- Montreal Neurological Institute, McGill University, Canada; and Aifred Health Inc., Montreal, Canada
| | - Kelly Perlman
- Douglas Mental Health University Institute, Montreal, Canada; and Aifred Health Inc., Montreal, Canada
| | | | - Joseph Mehltretter
- Department of Computer Science, University of Southern California, Los Angeles, USA; and Aifred Health Inc., Montreal, Canada
| | - Caitrin Armstrong
- School of Computer Science, McGill University, Canada; and Aifred Health Inc., Montreal, Canada
| | | | | | - Jordan F Karp
- Department of Psychiatry, University of Pittsburgh, USA
| | | | - Ipsit V Vahia
- Department of Psychiatry, McLean Hospital/Harvard University, USA
| | | | | | | | - Gail Myhr
- Department of Psychiatry, McGill University, Canada
| | - Ruben Martins
- Douglas Mental Health University Institute, Montreal, Canada; and Department of Psychiatry, McGill University, Canada
| | - Colleen Rollins
- Department of Psychiatry, University of Cambridge, UK; and Aifred Health Inc., Montreal, Canada
| | - Christina Popescu
- Douglas Mental Health University Institute, Montreal, Canada; and Aifred Health Inc., Montreal, Canada
| | - Eryn Lundrigan
- Department of Anatomy and Cell Biology, McGill University, Canada
| | - Emily Snook
- Faculty of Medicine, University of Toronto, Canada
| | - Marina Wakid
- Douglas Mental Health University Institute, Montreal, Canada
| | | | | | - Tamara Perez
- Department of Experimental Medicine, McGill University, Canada
| | | | | | - Marc Miresco
- Department of Psychiatry, McGill University, Canada
| | - Gustavo Turecki
- Douglas Mental Health University Institute, Montreal, Canada; and Department of Psychiatry, McGill University, Canada
| | - Liliana Gomez Cardona
- Douglas Mental Health University Institute, Montreal, Canada; and Department of Psychiatry, McGill University, Canada
| | - Outi Linnaranta
- Douglas Mental Health University Institute, Montreal, Canada; and Department of Psychiatry, McGill University, Canada
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