Table 27EHR Medication-Naive Database Cox Regression HRs for Demographic and Treatment Regimen Variables for Reaching HbA1c Target <7.0% (N = 8107), All Other Medications vs Metformin

Patient characteristicβ coefficient (B)SEWald df P valueHR Exp(B)95% CI for Exp(B)
Age, y.0060.00127.3011.0001.0061.004-1.009
Female vs male.1330.02626.6251.0001.1421.086-1.201
BMI.0030.0022.4951.1141.0030.999-1.007
Hypertension−.0680.0285.7381.0170.9340.884-0.988
eGFR−.0010.0014.9711.0260.9990.997-1.000
Race (vs White)7.0624.133
 Black−.0420.0391.1751.2780.9590.888-1.035
 Asian.0930.0681.8721.1711.0980.960-1.255
 Hispanic−.0210.0460.1991.6550.9800.895-1.072
 Other−.0890.0463.7371.0530.9150.835-1.001
Baseline HbA1c−.0640.00868.3701.0000.9380.924-0.952
All other medications vs metformin−.4900.029285.8561.0000.6130.579-0.648

Abbreviations: BMI, body mass index; eGFR, estimated glomerular filtration rate; EHR, electronic health record; HbA1c, hemoglobin A1c; HR, hazard ratio.

From: Benchmarking the Comparative Effectiveness of Diabetes Treatments Using Patient-Reported Outcomes and Socio-Demographic Factors

Cover of Benchmarking the Comparative Effectiveness of Diabetes Treatments Using Patient-Reported Outcomes and Socio-Demographic Factors
Benchmarking the Comparative Effectiveness of Diabetes Treatments Using Patient-Reported Outcomes and Socio-Demographic Factors [Internet].
Testa MA, Su M, Turchin A, et al.
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