5. Results
Purpose
Present the findings of the analysis.
Details
Cohort Summary: The final analytical dataset comprised 10,000 synthetic encounters. The overall missed appointment rate was 18.2%. The median age of the simulated cohort was 45 years.
Logistic Regression Findings: - Previous Missed Appointments: The strongest predictor of a missed visit in the synthetic data was a history of previous missed appointments (Odds Ratio [OR] = 1.35, 95% Confidence Interval [CI] 1.28-1.43). - Lead Time: Longer lead times between scheduling and the actual appointment were moderately associated with an increased likelihood of missing the appointment (OR = 1.02 per additional day). - Deprivation Quintile: Patients situated in the most deprived synthetic quintile (Q1) exhibited a higher odds of non-attendance compared to the least deprived quintile (Q5) (OR = 1.15). - Age: Age demonstrated a minor protective effect, with older simulated patients being slightly less likely to miss appointments.
Note: These results are derived from wholly synthetic data structured explicitly to exhibit these relationships for demonstration purposes. They do not represent real-world clinical findings.
Applied Practice & Innovation: No generative AI was used to derive these statistical results. These represent the planned output of the synthetic data generation script created during the Data phase.