Table 2.
Results of logistic regression and linear regression models for 6 months
Variables | Model I: Logistic regression (adherent vs nonadherent) | Model II: Linear regression | ||
---|---|---|---|---|
OR (95% CI) | p-value | β estimate (SE) | p-value | |
Intervention | ||||
Yes vs no | 1.31 (0.94–1.83) | 0.10 | 0.06 (0.02) | 0.03 |
Previous trajectories | ||||
Gaps in adherence vs rapid decline | 2.61 (1.69–4.04) | <0.0001 | 0.25 (0.03) | <0.0001 |
Gradual decline vs rapid decline | 1.65 (1.06–2.55) | 0.02 | 0.16 (0.03) | <0.0001 |
Gender | ||||
Male vs female | 0.89 (0.65–1.23) | 0.50 | − 0.009 (0.02) | 0.74 |
Age (y) | ||||
≥ 70 vs < 70 | 0.82 (0.60–1.14) | 0.25 | − 0.31 (0.02) | 0.74 |
Health plan | ||||
No subsidy vs low-income subsidy | 0.86 (0.62–1.18) | 0.36 | − 0.03 (0.02) | 0.16 |
Myocardial infarction | ||||
Yes vs no | 1.01 (0.27–3.82) | 0.98 | 0.10 (0.11) | 0.32 |
Depression | ||||
Yes vs no | 1.06 (0.65–1.72) | 0.80 | − 0.05 (0.04) | 0.21 |
Congestive heart failure | ||||
Yes vs no | 1.22 (0.63–2.36) | 0.55 | 0.11 (0.05) | 0.04 |
Stroke | ||||
Yes vs no | 0.59 (0.24–1.44) | 0.25 | − 0.04 (0.07) | 0.55 |
Coronary artery disease | ||||
Yes vs no | 0.98 (0.64–1.49) | 0.93 | − 0.02 (0.03) | 0.51 |
Refill type | ||||
≥ 90 days vs <90 days | 1.12 (0.66–1.90) | 0.66 | 0.03 (0.04) | 0.42 |
Number of other medications on index date | ||||
> 2 vs ≤ 2 | 1.21 (0.75–1.96) | 0.42 | 0.01 (0.04) | 0.64 |
Previous hospitalizations | ||||
≥ 1 vs none | 0.68 (0.37–1.24) | 0.21 | − 0.12 (0.05) | 0.01 |
Prevalent users | ||||
Yes vs no | 1.93 (1.21–3.09) | 0.005 | 0.09 (0.03) | 0.01 |
Prescriber specialty | ||||
General vs specialty | 0.84 (0.50–1.39) | 0.50 | − 0.04 (0.04) | 0.33 |
Regimen complexity | 0.96 (0.91–1.02) | 0.19 | − 0.006 (0.004) | 0.18 |
CMS risk score | 1.01 (0.83–1.23) | 0.90 | − 0.01 (0.01) | 0.34 |
CI confidence interval, CMS Centers for Medicare and Medicaid Services, OR odds ratio, SE standard error