| | Hospitalization | Surgery | Prescription medication |
|---|
N | 298 | 297 | 297 |
Number of observations | 2384 | 2387 | 2387 |
Intercept | −1.222* [0.1740] | − 1.599* [0.1936] | −2.628* [0.4812] |
Age | −0.149* [0.0452] | −0.079 [0.0436] | 0.822* [0.1697] |
Molecular genotype | 0.384* [0.1958] | 0.176 [0.2143] | 1.166* [0.5341] |
Age*Molecular genotype. | −0.056 [0.0497] | −0.078 [0.0472] | 0.808* [0.2230] |
- Notes: A repeated measures mixed effect binary model was assessed for each healthcare resource. Each column represents a separate model and the column heading indicates the dependent variable. Each model predicts the probability of an event (e.g., hospitalization, surgery or use of prescription medications) controlling for molecular genotype. N refers to unique number of individuals and the number of observations refers to the total number of years of available data for all individuals for an analysis. Standard errors are in parenthesis. The main coefficient of interest is age and it depicts how utilization changes with age. Based on the models above, a positive coefficient for age suggests that utilization increases with an increase in age and a negative coefficient suggests a decrease in utilization with an increase in age
- *Significant at p < 0.05
