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72; 95% confidence interval 1.44, 2.2, new patient status (adjusted odds ratio = 1.78; 95% confidence interval 1.44, 2.2, and absence of health insurance (adjusted odds ratio = 1.62; 95% confidence interval 1.24, 2.11). Sex, appointment time, day of the week, and season did not significantly influence no-show rates. Independent predictors of no-show appointments included younger age, new patient status, and lack of health insurance. Our findings will aid future efforts to identify patients with high predictors of nonadherence. Furt
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