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Board 344 - Research Abstract An Exploration of Communication between Surgical Instructors and Trainees and the Effect of Standardized Communication and a Simulated On-Screen Frame of Reference Tool Employed during Urologic Laparoscopic Training (Submission #347)

2013· article· en· W2333925281 on OpenAlexaff
Jen Hoogenes, Rami Elias, Soojin Kim, Ranil Sonnadara, Seungmin Kevin Kim, Edward D. Matsumoto

Bibliographic record

VenueSimulation in Healthcare The Journal of the Society for Simulation in Healthcare · 2013
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAlphanumericLaparoscopic surgeryFrame (networking)MedicineMedical educationComputer scienceSurgeryLaparoscopy

Abstract

fetched live from OpenAlex

Introduction/Background Intraoperative training is paramount to surgical education. A significant number of teaching hours during surgical residency are spent in the operating room (OR) and despite the established value of surgical simulation in standardized settings outside of the OR,1 the teaching that occurs in the high-stakes intraoperative environment cannot take place elsewhere. Operative teaching involves intricate interactions between surgeons and learners in a complex setting where time is of the essence and patient safety is vital.2,3 Economic pressures, work hour restrictions, interruptions, unpredictability, elevated stress, physical challenges, scarce resources and team communication issues are some of the challenges that can influence teaching in the OR.4–6 Trainees require a proficient surgeon to guide their operative learning. Research has shown that clinical teachers rarely use the established teaching principles of encouraging dialogue, asking questions, and giving meaningful feedback.7–9 It is still unclear, however, how these teaching principles, including that of communication are used in the OR, especially in laparoscopic surgery.8 Significant advancements and increased utilization of minimally invasive surgical approaches call for research that provides insight into communication in this unique setting. This study tested a novel, simulated on screen frame of reference tool and standardized communication for teaching during laparoscopic surgery. We are currently exploring the tool’s use in the OR. Methods Two versions of simulated on screen systems were developed: one with a clock design and x:y triangulation and the other an alphanumeric coordinate grid. These were transparent overlays designed to cover the endoscopic video screens in laparoscopic OR suites. A series of standardized verbal commands were developed for each of the overlays. An example for the clock overlay included, “move to the 12:00 position” and for the alphanumeric grid, “move to 2, C”. Sixty three medical students were randomized to three groups. All subjects performed three trials of six simulated laparoscopic transfer tasks. Group 1 (control) performed tasks with no overlay or standardized communication. Group 2 performed tasks using the clock and x:y triangulation overlay and Group 3 performed tasks using the alphanumeric grid overlay. Groups 2 and 3 received standardized communication specific to their overlay. Time to task completion and error scores were calculated (errors included incorrect placement during transfer). We are currently observing live urologic cases, using qualitative methodology to compare traditional laparoscopic training with laparoscopic training using the on screen frame of reference and standardized communication. Results In the simulated experiment, between and within group, analyses showed that Group 2 was significantly faster than the Control Group (p<0.05) and Group 3 (p>0.05) across all three trials. Group 2 had fewer errors than the control group across trials 1 and 3 (p<0.05), but similar error scores to Group 3. Although Group 3 had similar time to completion as the Control Group, Group 3 had statistically fewer errors (P<0.05). Live urologic cases are currently being video and audio recorded and transcribed, and qualitative analysis will continue until conceptual saturation is reached for each condition. Conclusion Using a frame of reference overlay and standardized communication for directing laparoscopy promotes safe and efficient endoscopic teaching in a simulated environment. Both groups that used an overlay and standardized communication had significantly fewer errors than the control group. The use of this tool during actual live cases is currently being evaluated by qualitative researchers and the findings will allow for a rich description of how communication and instruction is used in the OR during laparoscopic training. Our novel onscreen frame of reference tool, combined with a standardized communication system for instructing and directing during laparoscopic surgery can prove to be groundbreaking in the facilitation of safer, more effective communication and training in the OR. References 1. Stefanidis D, Arora S, Parrack DM, et al. Research priorities in surgical simulation for the 21st Century. Am J Surg, 2012, 203(1):49–53. 2. Ferguson C M. Mandatory resident work hour limitations. J Am Coll Surg, 2005, 200(4):637–638. 3. Greenfield LJ. Limiting resident duty hours, Am J Surg, 2003, 185(1):10–12. 4. Svensson MS, Luff P, & Heath C. Embedding instruction in practice: contingency and collaboration during surgical training. Sociol Health Illn, 2009, 31(6):889–906. 5. Wetzel CM, Kneebone RL, Woloshynowych M, et al. The effects of stress on surgical performance. Am J Surg, 2006, 191(1):5–10. 6. Blom EM, Verdaasdonk EG, Stassen LP, et al. Analysis of verbal communication during teaching in the operating room and the potential for surgical training. Surg Endosc, 2007, 21(9):1560–1566. 7. Lingard L, Reznick R, Espin S, Regehr, G. & DeVito I. Team communications in the operating room: talk patterns, sites of tension, and implications for novices, Acad Med, 2002, 77(3):232–237. 8. Claridge JA, Calland JF, Chandrasekhara V, et al. Comparing resident measurements to attending surgeon self-perceptions of surgical educators. Am J Surg, 2003, 185(4):323–327. 9. Moore A, Butt D, Ellis-Clarke J & Cartmill, J. Linguistic analysis of verbal and non-verbal communication in the operating room. ANZ J Surg, 2010; 80: 925–929. Disclosures None.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.217

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.042
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0650.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.167
GPT teacher head0.445
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2013
Admission routes1
Has abstractyes

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