Why the study?
The time allocated to preanesthesia consultation is important for optimizing consultation sessions, prompting the development of a predictive model for consultation duration.
A predictive model for preanesthesia consultation duration showed moderate performance (R2=0.47), suggesting patient and surgical factors can partially estimate consultation time.
Moderate model performance suggests limited utility for precise scheduling; leaves open refinement with additional predictors in future studies.
BACKGROUND: The time allocated to the preanesthesia consultation (PAC) of a patient undergoing an elective surgical procedure is an important factor to optimize consultation sessions. The main objective of this study was to build a model predictive of the duration of the PAC. METHODS: We prospectively studied 1007 patients undergoing a PAC from January 2016 to June 2018 in 4 different hospitals. A general linear model was fitted to predict the overall duration of the PAC. Secondary models predicted the time spent on clinical evaluation and the time assigned to delivering information. RESULTS: After exclusion of 40 patients with major data inconsistencies, the mean (standard deviation [SD]) overall duration of the PAC was 11.2 (5.8) minutes, split into 6.8 (4.1) minutes of information and 4.4 (2.7) minutes of clinical evaluation. It was, respectively, 11.4 (5.9), 6.9 (4.2), and 4.4 (2.7) in the 924 patients ≥16 years of age and, respectively, 8.3 (2.3), 4.3 (1.8), and 4.1 (1.8) in 43 children. The American Society of Anesthesiologists (ASA) score, the number of comorbidities or treatment, surgery discipline, and context (ambulatory, conventional hospitalization, and intensive care unit) were significantly correlated to PAC time. In the 924 adult patients, the models had an R2 adjusted for overfitting at 0.47 for the total duration of PAC, 0.45 for the clinical examination time, and 0.24 for the information time. The estimated residual standard deviations were, respectively, 4.3, 3.1, and 2.7 minutes. CONCLUSIONS: The predictive performances of the model explaining the overall duration of PAC were average (R2 = 0.47) and should be confirmed by further studies to use it for optimizing the organization of the consultation by individualizing the time dedicated to each consultation.
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A 2022 study studied this question.
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