Establishing validity evidence for device-assisted advanced laparoscopic suturing tasks using simulation

Elif Bilgic^{1

2

3

4}, Allan Okrainec^{5

6

7}, John Paige⁸, Saba Balvardi², Sofia Valanci², Caterina Masino⁵, Pepa Kaneva², Mohammed Alabri², Katherine M McKendy^{2

9}, Yusuke Watanabe¹⁰, Melina C Vassiliou^{2

9}, Gerald M Fried^{11

12

13}

Affiliations

¹ Steinberg Centre for Simulation and Interactive Learning, McGill University, Montreal, QC, Canada.
² Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Centre, Montreal, QC, Canada.
³ Department of Pediatrics, McMaster University, Hamilton, Canada.
⁴ McMaster Education Research, Innovation and Theory (MERIT) Program, McMaster University, Hamilton, Canada.
⁵ Temerty Advanced Surgical Education and Simulation Centre, University Health Network, Toronto, ON, Canada.
⁶ Division of General Surgery, University Health Network, Toronto, ON, Canada.
⁷ Department of Surgery, University of Toronto, Toronto, ON, Canada.
⁸ Department of Surgery, School of Medicine, LSU Health New Orleans, New Orleans, LA, USA.
⁹ Department of Surgery, McGill University Health Centre, 1650 Cedar Ave, L9.303, Montreal, QC, H3G 1A4, Canada.
¹⁰ Department of Gastroenterological Surgery II, Faculty of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.
¹¹ Steinberg Centre for Simulation and Interactive Learning, McGill University, Montreal, QC, Canada. gerald.fried@mcgill.ca.
¹² Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Centre, Montreal, QC, Canada. gerald.fried@mcgill.ca.
¹³ Department of Surgery, McGill University Health Centre, 1650 Cedar Ave, L9.303, Montreal, QC, H3G 1A4, Canada. gerald.fried@mcgill.ca.

PMID: 35729407
DOI: 10.1007/s00464-022-09380-x

Establishing validity evidence for device-assisted advanced laparoscopic suturing tasks using simulation

Elif Bilgic et al. Surg Endosc. 2022 Dec.

. 2022 Dec;36(12):9099-9105.

doi: 10.1007/s00464-022-09380-x. Epub 2022 Jun 21.

Authors

Affiliations

¹ Steinberg Centre for Simulation and Interactive Learning, McGill University, Montreal, QC, Canada.
² Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Centre, Montreal, QC, Canada.
³ Department of Pediatrics, McMaster University, Hamilton, Canada.
⁴ McMaster Education Research, Innovation and Theory (MERIT) Program, McMaster University, Hamilton, Canada.
⁵ Temerty Advanced Surgical Education and Simulation Centre, University Health Network, Toronto, ON, Canada.
⁶ Division of General Surgery, University Health Network, Toronto, ON, Canada.
⁷ Department of Surgery, University of Toronto, Toronto, ON, Canada.
⁸ Department of Surgery, School of Medicine, LSU Health New Orleans, New Orleans, LA, USA.
⁹ Department of Surgery, McGill University Health Centre, 1650 Cedar Ave, L9.303, Montreal, QC, H3G 1A4, Canada.
¹⁰ Department of Gastroenterological Surgery II, Faculty of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.
¹¹ Steinberg Centre for Simulation and Interactive Learning, McGill University, Montreal, QC, Canada. gerald.fried@mcgill.ca.
¹² Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Centre, Montreal, QC, Canada. gerald.fried@mcgill.ca.
¹³ Department of Surgery, McGill University Health Centre, 1650 Cedar Ave, L9.303, Montreal, QC, H3G 1A4, Canada. gerald.fried@mcgill.ca.

PMID: 35729407
DOI: 10.1007/s00464-022-09380-x

Abstract

Background: Laparoscopic suturing (LS) is an essential technique required for a wide range of procedures, and it is one of the most challenging for surgical trainees to master. We designed and collected validity evidence for advanced LS tasks using an automated suturing device and evaluated the perceived educational value of the tasks.

Methods: This project was a multicentre prospective study involving McGill University, University of Toronto (UofT), and Louisiana State University (LSU) Health New Orleans. Novice (NS) and experienced (ES) surgeons performed suturing under tension (UT) and continuous suturing (CS) tasks. ES performed the tasks twice to establish proficiency benchmarks, and they were interviewed to develop formative feedback tools (FFT). Participants were assessed on completion time, error, Global Operative Assessment of Laparoscopic Skills (GOALS), and FFT. Data were analyzed using descriptive and inferential statistical methods.

Results: Twenty-seven participants (13 ES, 14 NS, median age 34 years; 85% male) completed the study. Eight were attending surgeons, 7 fellows, 4 PGY5, 5 PGY4, and 3 PGY3 (18 from McGill, 5 UofT, and 4 LSU). Comparing ES and NS, for UT task, ES had significantly greater task scores (570 [563-648] vs 323 [130-464], p value 0.00036) and GOALS scores (14 [13-16] vs 10 [8-12], p value 0.0038). Similarly, for CS, ES had significantly greater task scores (976 [959-1010] vs 785 [626-856], p value 0.00009) and GOALS scores (16 [12-17] vs 12.5 [8.25-15], p value 0.028). After FFTs were developed, comparing ES and NS, for both UT and CS tasks, ES had significantly greater FFT scores (UT 25 [24-26] vs 17 [14-20], p value 0.0016 and CS 30 [27-32] vs 22[17.2-25.8], p value 0.00061).

Conclusion: In conclusion, preliminary validity evidence was provided for the tasks. Once further validity evidence is established, incorporating the tasks into the training curricula could improve trainee skills and help to meet the need for better advanced suturing models.

Keywords: Advanced laparoscopic suturing; Assessment; Device-assisted laparoscopic suturing; Simulation.

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References

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Establishing validity evidence for device-assisted advanced laparoscopic suturing tasks using simulation

Affiliations

Establishing validity evidence for device-assisted advanced laparoscopic suturing tasks using simulation

Authors

Affiliations

Abstract

References

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MeSH terms

LinkOut - more resources

Full Text Sources

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