Overall anesthesia department quality of clinical supervision of trainees over a year evaluated using mixed effects models
Authors' conclusion
Random effects meta-analysis of percentage incidences of maximum scores is a suitable statistical approach to analyze the daily supervision scores of individual anesthesiologists to evaluate the overall quality of clinical supervision provided to the trainees by the department over a year.
Study context
- Population
- Faculty anesthesiologists evaluated by residents and fellows with the De Oliveira Filho supervision scale over nine academic years at one departmentevaluations of 115 faculty
- Participants
- 48,788 participants
- Outcome
- Statistical approach to department-level supervision quality
Methodological detailssingle department, mixed effects models
- Single department
- Mixed effects models
Main finding
As reported in the abstract
- Mean scores among raters had marked negative skewness, inconsistent with normal distributions; accurate CIs impracticably wide
- Logits of proportions of maximum scores per rater sufficiently close to normal for random effects modelling
- Semi-annual or annual trainee surveys reported as raw counts give far lower estimates of supervision quality than daily evaluations
Observational data: associations, not effects.
Original publication
Overall anesthesia department quality of clinical supervision of trainees over a year evaluated using mixed effects models. J Clin Anesth. Published 31 March 2023. doi:10.
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