The MISTELS program to measure technical skill in laparoscopic surgery
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The McGill Inanimate System for Training and Evaluation of Laparoscopic Skills (MISTELS) is a series of five tasks with an objective scoring system. The purpose of this study was to estimate the interrater and test–retest reliability of the MISTELS metrics and to assess their internal consistency.
To determine interrater reliability, two trained observers scored 10 subjects, either live or on tape. Test–retest reliability was assessed by having 12 subjects perform two tests, the second immediately following the first. Interrater and test–retest reliability were assessed using intraclass correlation coefficients. Internal consistency between tasks was estimated using Cronbach’s alpha.
The interrater and test–retest reliabilities for the total scores were both excellent at 0.998 [95% confidence interval (CI), 0.985–1.00] and 0.892 (95% CI, 0.665–0.968), respectively. Cronbach’s alpha for the first assessment of the test–retest was 0.86.
The MISTELS metrics have excellent reliability, which exceeds the threshold level of 0.8 required for high-stakes evaluations. These findings support the use of MISTELS for evaluation in many different settings, including residency training programs.
KeywordsLaparoscopic training Simulation Education Evaluation Reliability
This work was funded by an unrestricted educational grant from Tyco Healthcare Canada.
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