TABLE 3.
Result of Regression Models to Examine Effect of Intervention on Adherence
| Variable | Model 1: Logistic Regression | Model 2: Linear Regression | ||
|---|---|---|---|---|
| Adjusted Odds Ratio (95% CI) | P Value | β Estimate (SE) | P Value | |
| Intervention vs. control group | 1.87 (1.18-2.95) | 0.008 | 12.40 (3.47) | < 0.001 |
| Trajectory | ||||
| Gradual decline vs. rapid decline | 3.15 (1.59-6.25) | 0.001 | 23.20 (4.52) | < 0.001 |
| Gaps in adherence vs. rapid decline | 3.74 (1.94-7.21) | < 0.001 | 32.07 (4.29) | < 0.001 |
| Sex | ||||
| Female vs. male | 0.98 (0.64-1.49) | 0.905 | -0.39 (3.19) | 0.902 |
| Age | ||||
| 65-70 vs. < 65 | 1.24 (0.66-2.33) | 0.505 | 0.54 (4.70) | 0.505 |
| 71-75 vs. < 65 | 1.25 (0.64-2.43) | 0.514 | 1.24 (5.00) | 0.514 |
| > 75 vs. < 65 | 0.89 (0.45-1.77) | 0.746 | -4.55 (5.00) | 0.746 |
| Preferred language | ||||
| Spanish vs. English | 1.48 (0.87-2.55) | 0.152 | 6.57 (4.09) | 0.110 |
| Low-income subsidy | ||||
| Having subsidy vs. not | 0.59 (0.38-0.92) | 0.021 | -7.62 (3.33) | 0.023 |
| Physician specialty | ||||
| Specialist vs. primary care provider | 0.93 (0.58-1.50) | 0.764 | 0.19 (3.63) | 0.957 |
| CMS risk score | 1.38 (1.05-1.82) | 0.022 | 4.77 (2.08) | 0.022 |
| Charlson Comorbidity Index score | 0.74 (0.52-1.05) | 0.091 | -4.29 (2.36) | 0.070 |
| Diabetes (yes vs. no) | 1.22 (0.79-1.90) | 0.369 | 4.16 (3.32) | 0.210 |
| Hyperlipidemia (yes vs. no) | 1.92 (0.26-14.39) | 0.527 | 12.09 (12.74) | 0.343 |
| Hypertension (yes vs. no) | 1.09 (0.58-2.08) | 0.783 | 3.29 (4.75) | 0.489 |
| CHF (yes vs. no) | 0.96 (0.44-2.11) | 0.915 | -4.77 (5.98) | 0.426 |
| Statin use for secondary vs. primary prevention | 0.77 (0.09-6.94) | 0.819 | -8.49 (14.29) | 0.553 |
| Hospitalized in past 6 months vs. not | 0.93 (0.46-1.90) | 0.850 | 0.43 (5.38) | 0.937 |
CHF = congestive heart failure; CI = confidence interval; CMS = Centers for Medicare & Medicaid Services; SE = standard error.