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signi " cant (odds ratio [OR] 1.11; 95% con " dence interval [CI] 1.08-1.15; P < .001). Additionally, Total Score was signi " cantly decreased for each 10-minute increase in wait time (OR 0.56; 95% CI 0.51-0.6; P < .001) (Figure 2). This analytical method also revealed race, insurance categorization, clinic setting, and age categorization (< or ≥ 18 years old) were all independent predictors of patient satisfaction.

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Figure 2 . This graph shows the percentage of patients reporting satisfaction ( y -axis) as a function of wait time in 10-minute intervals ( x -axis). The number (n=) of patients reporting for each time interval is also reported.

Multivariate analysis revealed several signi " cant positive and negative associations on the PGOMPS Total Score independent of each other (Table 2). There was a notable correlation between patient satisfaction and the self-reported races of Black or African American and Native Hawaiian or Other Paci " c Islander. Black and African American patients were less likely to be satis " ed while Native Hawaiian and Other Paci " c Islander patients were more likely to be satis " ed (OR 0.22; 95% CI 0.05-0.95; P = .043 and OR 3.02; 95% CI 1.27-7.19; P = .013, respectively). Total wait time had a signi " cant negative association with satisfaction, speci " cally for each 10-minute increase in wait time yielded a 43% likelihood of dissatisfaction (OR 0.57; 95% CI 0.52-0.62; P < .001). When compared to patients ≥ 18 years of age, our patients <18 years old or their caregivers