Intraoperative robotic-assisted low anterior rectal resection performance assessment using procedure-specific binary metrics and a global rating scale.


Journal

BJS open
ISSN: 2474-9842
Titre abrégé: BJS Open
Pays: England
ID NLM: 101722685

Informations de publication

Date de publication:
02 05 2022
Historique:
received: 11 08 2021
revised: 23 02 2022
accepted: 04 03 2022
entrez: 11 5 2022
pubmed: 12 5 2022
medline: 14 5 2022
Statut: ppublish

Résumé

This study aimed to evaluate the use of binary metric-based (proficiency-based progression; PBP) performance assessments and global evaluative assessment of robotic skills (GEARS) of a robotic-assisted low anterior rectal resection (RA-LAR) procedure. A prospective study of video analysis of RA-LAR procedures was carried out using the PBP metrics with binary parameters previously developed, and GEARS. Recordings were collected from five novice surgeons (≤30 RA-LAR previously performed) and seven experienced surgeons (>30 RA-LAR previously performed). Two consultant colorectal surgeons were trained to be assessors in the use of PBP binary parameters to evaluate the procedure phases, surgical steps, errors, and critical errors in male and female patients and GEARS scores. Novice and experienced surgeons were categorized and assessed using PBP metrics and GEARS; mean scores obtained were compared for statistical purpose. Also, the inter-rater reliability (IRR) of these assessment tools was evaluated. Twenty unedited recordings of RA-LAR procedures were blindly assessed. Overall, using PBP metric-based assessment, a subgroup of experienced surgeons made more errors (20 versus 16, P = 0.158) and critical errors (9.2 versus 7.8, P = 0.417) than the novice group, although not significantly. However, during the critical phase of RA-LAR, experienced surgeons made significantly fewer errors than the novice group (95% CI of the difference, Lower = 0.104 - Upper = 5.155, df = 11.9, t = 2.23, p = 0.042), and a similar pattern was observed for critical errors. The PBP metric and GEARS assessment tools distinguished between the objectively assessed performance of experienced and novice colorectal surgeons performing RA-LAR (total error scores with PBP metrics, P = 0.019-0.008; GEARS scores, P = 0.029-0.025). GEARS demonstrated poor IRR (mean IRR 0.49) and weaker discrimination between groups (15-41 per cent difference). PBP binary metrics demonstrated good IRR (mean 0.94) and robust discrimination particularly for total error scores (58-64 per cent). PBP binary metrics seem to be useful for metric-based training for surgeons learning RA-LAR procedures.

Sections du résumé

BACKGROUND
This study aimed to evaluate the use of binary metric-based (proficiency-based progression; PBP) performance assessments and global evaluative assessment of robotic skills (GEARS) of a robotic-assisted low anterior rectal resection (RA-LAR) procedure.
METHOD
A prospective study of video analysis of RA-LAR procedures was carried out using the PBP metrics with binary parameters previously developed, and GEARS. Recordings were collected from five novice surgeons (≤30 RA-LAR previously performed) and seven experienced surgeons (>30 RA-LAR previously performed). Two consultant colorectal surgeons were trained to be assessors in the use of PBP binary parameters to evaluate the procedure phases, surgical steps, errors, and critical errors in male and female patients and GEARS scores. Novice and experienced surgeons were categorized and assessed using PBP metrics and GEARS; mean scores obtained were compared for statistical purpose. Also, the inter-rater reliability (IRR) of these assessment tools was evaluated.
RESULTS
Twenty unedited recordings of RA-LAR procedures were blindly assessed. Overall, using PBP metric-based assessment, a subgroup of experienced surgeons made more errors (20 versus 16, P = 0.158) and critical errors (9.2 versus 7.8, P = 0.417) than the novice group, although not significantly. However, during the critical phase of RA-LAR, experienced surgeons made significantly fewer errors than the novice group (95% CI of the difference, Lower = 0.104 - Upper = 5.155, df = 11.9, t = 2.23, p = 0.042), and a similar pattern was observed for critical errors. The PBP metric and GEARS assessment tools distinguished between the objectively assessed performance of experienced and novice colorectal surgeons performing RA-LAR (total error scores with PBP metrics, P = 0.019-0.008; GEARS scores, P = 0.029-0.025). GEARS demonstrated poor IRR (mean IRR 0.49) and weaker discrimination between groups (15-41 per cent difference). PBP binary metrics demonstrated good IRR (mean 0.94) and robust discrimination particularly for total error scores (58-64 per cent).
CONCLUSIONS
PBP binary metrics seem to be useful for metric-based training for surgeons learning RA-LAR procedures.

Identifiants

pubmed: 35543264
pii: 6583541
doi: 10.1093/bjsopen/zrac041
pmc: PMC9092445
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of BJS Society Ltd.

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Auteurs

Marcos Gómez Ruiz (M)

Colorectal Surgery Unit, General Surgery Department, Marqués de Valdecilla University Hospital, Santander, Spain.
Valdecilla virtual Hospital, Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain.

Samson Tou (S)

Department of Colorectal Surgery, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK.
School of Medicine, Royal Derby Hospital, University of Nottingham, Derby, UK.

Anthony G Gallagher (AG)

Department of Research and Skills Development, ORSI Academy, Melle, Belgium.

Carmen Cagigas Fernández (C)

Colorectal Surgery Unit, General Surgery Department, Marqués de Valdecilla University Hospital, Santander, Spain.
Valdecilla virtual Hospital, Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain.

Lidia Cristobal Poch (L)

Colorectal Surgery Unit, General Surgery Department, Marqués de Valdecilla University Hospital, Santander, Spain.
Valdecilla virtual Hospital, Valdecilla Biomedical Research Institute (IDIVAL), Santander, Spain.

Klaus E Matzel (KE)

Section of Coloproctology, Department of Surgery, University of Erlangen-Nürnberg, FAU, Erlangen, Germany.

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