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. 2016 Jan;22(1):10.18553/jmcp.2016.22.1.63. doi: 10.18553/jmcp.2016.22.1.63

TABLE 5.

Results of Linear Regression Model and Logistic Regression Models

  Logistic Regression Model Linear Regression Model
OR (95% CI) P Value β Coefficient (95% CI) P Value
Intercept 0.1142 (-0.29-0.54) 0.594
Intervention   0.038a 0.3182 (0.19-0.38) < 0.001a
  Yes 3.56 (1.06-11.86)      
  No Reference      
Age 1.01 (0.94-1.08) 0.697 -0.0007 (-0.004-0.004) 0.748
Sex   0.420 -0.0117 (-0.10-0.07)  
  Female Reference     0.795
  Male 1.60 (0.51-5.07)      
Specialty group   0.747 0.0859 (-0.02-0.15) 0.067
  Special 0.82 (0.25-2.64)      
  Primary Reference      
Language   0.925 0.1108 (-0.02-0.23) 0.098
  English Reference      
  Spanish 1.08 (0.21-5.72)      
CCI 0.72 (0.53-0.99) 0.044a 0.0229 (-0.018-0.050) 0.248
CMS risk score 0.55 (0.30-1.01) 0.051 0.0089 (-0.05-0.06) 0.759
Health plan   0.226 -0.0072 (-0.105-0.080) 0.883
  Low-income subsidy Reference      
  Other 2.07 (0.63-6.74)      
Number of distinct medications 1.07 (0.96-1.20) 0.184 0.0026 (-0.005-0.009) 0.513
Baseline PDC 0.1928 (-0.20-0.45) 0.251

aIndicates significant finding.

CCI = Charlson Comorbidity Index; CI = confidence interval; CMS = Centers for Medicare & Medicaid Services; OR = odds ratio; PDC = proportion of days covered.