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The MISTELS program to measure technical skill in laparoscopic surgery : evidence for reliability
M C Vassiliou1, G A Ghitulescu, L S Feldman
1Steinberg-Bernstein Centre for Minimally Invasive Surgery, Department of Surgery, McGill University Health Centre, 1650 Cedar Avenue, #L9.309, Montreal, Quebec, H3G 1A4, Canada.
Background:
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.
Methods:
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.
Results:
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.
Conclusions:
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.