STUDY VARIABLES
Predictor variables: The predictor variables were composed of a heterogeneous set of variables that were grouped into the 5 different categories: surgeon demographics, subject demographics, anesthesia risk factors,, procedure-related, and anesthetic medications.
Surgeon demographic variables included age, sex, degree-status (single- or dually-qualified), board certification status (board-certified yes or no) and census region (midwest, northeast, south, west). Subject demographic variables were age and sex. Anesthesia risk factors variables included ASA status (I,II,III/IV, V), alcohol use (yes or no, if yes then drinks per day), tobacco use (non-smoke, past smoker, current smoker,and if yes pack-years of exposure), Mallampati classification (I,II,III,IV), and body mass index (BMI). Procedure-related variables consisted of preoperative level of anxiety (not anxious, some anxiety, anxious), procedure types (dentoalveolar, pathology, other), anesthesia level grouped as MS or , DS/GA, anesthesia time, monitoring techniques (capnography, blood pressure, pulse oximetry, pericardial stethoscope, pretracheal stethoscope, electrocardiography (ECG), monitoring chest movement, electroencephalogram (EEG), temperature), other monitoring method (yes or no), …show more content…
Of these, 95 OMSs met inclusion criteria. The mean age of surgeon sample was 50.8 (SD=10.2) years. The surgeon sample was predominantly male (91.6%) and 13.7% of participants reported using capnography 1 or more times using capnography for monitoring anesthetized patients. Table 1 summarizes the descriptive statistics of surgeon sample. Surgeon-specific variables were not statistically associated with capnography use (p-values were >0.075). Table 2 demonstrates bivariate relations of surgeon-specific variables grouped by capnography use and none of the surgeon-specific variables were associated with capnography use (p-values >
Predictor variables: The predictor variables were composed of a heterogeneous set of variables that were grouped into the 5 different categories: surgeon demographics, subject demographics, anesthesia risk factors,, procedure-related, and anesthetic medications.
Surgeon demographic variables included age, sex, degree-status (single- or dually-qualified), board certification status (board-certified yes or no) and census region (midwest, northeast, south, west). Subject demographic variables were age and sex. Anesthesia risk factors variables included ASA status (I,II,III/IV, V), alcohol use (yes or no, if yes then drinks per day), tobacco use (non-smoke, past smoker, current smoker,and if yes pack-years of exposure), Mallampati classification (I,II,III,IV), and body mass index (BMI). Procedure-related variables consisted of preoperative level of anxiety (not anxious, some anxiety, anxious), procedure types (dentoalveolar, pathology, other), anesthesia level grouped as MS or , DS/GA, anesthesia time, monitoring techniques (capnography, blood pressure, pulse oximetry, pericardial stethoscope, pretracheal stethoscope, electrocardiography (ECG), monitoring chest movement, electroencephalogram (EEG), temperature), other monitoring method (yes or no), …show more content…
Of these, 95 OMSs met inclusion criteria. The mean age of surgeon sample was 50.8 (SD=10.2) years. The surgeon sample was predominantly male (91.6%) and 13.7% of participants reported using capnography 1 or more times using capnography for monitoring anesthetized patients. Table 1 summarizes the descriptive statistics of surgeon sample. Surgeon-specific variables were not statistically associated with capnography use (p-values were >0.075). Table 2 demonstrates bivariate relations of surgeon-specific variables grouped by capnography use and none of the surgeon-specific variables were associated with capnography use (p-values >