Preliminary validation of Thiel embalmed cadavers for laparoscopic radical nephrectomy
Preliminary validation of Thiel embalmed cadavers for laparoscopic radical nephrectomy
PURPOSE: This study evaluated face, content, construct validity, and reliability of Thiel embalmed cadavers (TEC) as a training tool for transperitoneal laparoscopic nephrectomy (TLN).
MATERIALS AND METHODS: The study participants were prospectively recruited through an advanced laparoscopic renal resection teaching skill course. The participants were grouped into: nonexperts (performed fewer than 50 TLNs) and experts (performed more than 50 TLNs). All the participants performed TLN on TEC, which was video recorded. All participants rated their overall experience of performing TLN on TEC with emphasis on realism (face validity). The participants were asked to rate the appropriateness of TEC for training in TLN (content training). Two experienced laparoscopic surgeons, using validated modified Objective Structured Assessment of Technical Skills, assessed the individual videos. The parameters studied were: Respect for tissues, time and motion, and instrument handling for each step of laparoscopic nephrectomy (LN) (construct validity). Test-retest and interrater reliability was also evaluated.
RESULTS: Twenty-four participants (4 experts and 20 nonexperts) took part in this study. The mean overall rating for the experience of TLN on TEC was 4.5 (Face Validity). The mean score for the appropriateness of TEC as a training tool for TLN was 4.6 (content validity) when evaluated by the four experts. The mean scores for the nonexperts and experts using video recordings for various variables were: Respect for tissue-1.74 (standard deviation [SD]-0.62) vs 3.63 (SD-1.06), (P<0.01), time and motion-1.74 (SD-0.58) vs 4 (SD-0.76), (P<0.01), and instrument handling-1.84 (SD-0.61) vs 4.25 (SD-0.71), (P<0.01) (construct validity). The study also suggested test-retest and interrater reliability.
CONCLUSIONS: This study suggests face, content, and constructs validity and reliability of the TEC as a training tool for TLN.
Cadaver, Clinical Competence, Embalming, Endoscopy, Humans, Kidney, Laparoscopy, Models, Anatomic, Nephrectomy, Prospective Studies, Reproducibility of Results, Urology, Journal Article, Observational Study, Validation Studies
595-603
Rai, Bhavan P.
e1156207-bfd1-4f89-b0aa-9e55fc54235b
Stolzenburg, Jens-Uwe
976738fc-ba4e-4d4a-a2ac-71e0ff327fb1
Healy, Samuel
1ef2d05a-d2f6-4fa5-b3ac-6255713818b3
Tang, Benjie
81e38434-6102-42dd-b00d-c6acda07ee8a
Jones, Patrick
d27beb5b-0e09-4ed5-89f0-6c62421c2397
Sweeney, Clare
70379315-f970-41db-b874-fcd80365fdc3
Somani, Bhaskar K.
ab5fd1ce-02df-4b88-b25e-8ece396335d9
Biyani, Chandra Shekhar
2d96e24e-f3f3-4ba5-8258-73ba26f63321
Nabi, Ghulam
20d3e635-ec9c-4b53-8703-f50b443196da
May 2015
Rai, Bhavan P.
e1156207-bfd1-4f89-b0aa-9e55fc54235b
Stolzenburg, Jens-Uwe
976738fc-ba4e-4d4a-a2ac-71e0ff327fb1
Healy, Samuel
1ef2d05a-d2f6-4fa5-b3ac-6255713818b3
Tang, Benjie
81e38434-6102-42dd-b00d-c6acda07ee8a
Jones, Patrick
d27beb5b-0e09-4ed5-89f0-6c62421c2397
Sweeney, Clare
70379315-f970-41db-b874-fcd80365fdc3
Somani, Bhaskar K.
ab5fd1ce-02df-4b88-b25e-8ece396335d9
Biyani, Chandra Shekhar
2d96e24e-f3f3-4ba5-8258-73ba26f63321
Nabi, Ghulam
20d3e635-ec9c-4b53-8703-f50b443196da
Rai, Bhavan P., Stolzenburg, Jens-Uwe, Healy, Samuel, Tang, Benjie, Jones, Patrick, Sweeney, Clare, Somani, Bhaskar K., Biyani, Chandra Shekhar and Nabi, Ghulam
(2015)
Preliminary validation of Thiel embalmed cadavers for laparoscopic radical nephrectomy.
Journal of Endourology, 29 (5), .
(doi:10.1089/end.2014.0719).
Abstract
PURPOSE: This study evaluated face, content, construct validity, and reliability of Thiel embalmed cadavers (TEC) as a training tool for transperitoneal laparoscopic nephrectomy (TLN).
MATERIALS AND METHODS: The study participants were prospectively recruited through an advanced laparoscopic renal resection teaching skill course. The participants were grouped into: nonexperts (performed fewer than 50 TLNs) and experts (performed more than 50 TLNs). All the participants performed TLN on TEC, which was video recorded. All participants rated their overall experience of performing TLN on TEC with emphasis on realism (face validity). The participants were asked to rate the appropriateness of TEC for training in TLN (content training). Two experienced laparoscopic surgeons, using validated modified Objective Structured Assessment of Technical Skills, assessed the individual videos. The parameters studied were: Respect for tissues, time and motion, and instrument handling for each step of laparoscopic nephrectomy (LN) (construct validity). Test-retest and interrater reliability was also evaluated.
RESULTS: Twenty-four participants (4 experts and 20 nonexperts) took part in this study. The mean overall rating for the experience of TLN on TEC was 4.5 (Face Validity). The mean score for the appropriateness of TEC as a training tool for TLN was 4.6 (content validity) when evaluated by the four experts. The mean scores for the nonexperts and experts using video recordings for various variables were: Respect for tissue-1.74 (standard deviation [SD]-0.62) vs 3.63 (SD-1.06), (P<0.01), time and motion-1.74 (SD-0.58) vs 4 (SD-0.76), (P<0.01), and instrument handling-1.84 (SD-0.61) vs 4.25 (SD-0.71), (P<0.01) (construct validity). The study also suggested test-retest and interrater reliability.
CONCLUSIONS: This study suggests face, content, and constructs validity and reliability of the TEC as a training tool for TLN.
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More information
e-pub ahead of print date: 6 May 2015
Published date: May 2015
Keywords:
Cadaver, Clinical Competence, Embalming, Endoscopy, Humans, Kidney, Laparoscopy, Models, Anatomic, Nephrectomy, Prospective Studies, Reproducibility of Results, Urology, Journal Article, Observational Study, Validation Studies
Identifiers
Local EPrints ID: 419370
URI: http://eprints.soton.ac.uk/id/eprint/419370
ISSN: 0892-7790
PURE UUID: d39c9058-2c57-4b3e-bf18-1e7af69bc39e
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Date deposited: 11 Apr 2018 16:30
Last modified: 15 Mar 2024 19:03
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Contributors
Author:
Bhavan P. Rai
Author:
Jens-Uwe Stolzenburg
Author:
Samuel Healy
Author:
Benjie Tang
Author:
Patrick Jones
Author:
Clare Sweeney
Author:
Chandra Shekhar Biyani
Author:
Ghulam Nabi
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