Table 3.

Multivariate GEE Logistics Model of Factors Associated with Care Gaps in SGLT2i Prescription*

Variable	AOR (95% CI)	p value
Age	1.01 (1, 1.02)	< 0.001
Sex
Female	Ref
Male	0.69 (0.61, 0.78)	< 0.0001
Race/ethnicity
White, non-Hispanic	Ref
Asian	1.02 (0.72, 1.43)	0.93
Black, non-Hispanic	1.46 (1.15, 1.87)	< 0.01
Hispanic	1.46 (1.11, 1.92)	< 0.01
Other race/ethnicity	1.40 (1.07, 1.84)	0.01
Insurance type
Public or self-pay	Ref
Commercial	0.78 (0.64, 0.95)	0.02
PCP site and type
Non-teaching site	Ref
Teaching site, resident as PCP	0.85 (0.65, 1.10)	0.21
Teaching site, non-resident as PCP	1.10 (0.82, 1.47)	0.52
HbA1C
At goal, ≤ 7	Ref
Not at goal	2.32 (1.96, 2.73)	< 0.0001
Proteinuria
Severe proteinuria	Ref
Moderate proteinuria	1.37 (1.15, 1.63)	< 0.001
GFR categories
Category 1, GFR ≥ 90	Ref
Category 2, GFR 60–89	0.94 (0.73, 1.19)	0.59
Category 3, GFR 30–50	0.54 (0.41, 0.72)	< 0.0001
Category 4, GFR < 30	0.82 (0.55, 1.20)	0.3
Count of other diabetes-related Rx†	0.83 (0.77, 0.90)	< 0.0001
HbA1C
At goal, ≤ 7	Ref
Not at goal	2.32 (1.96, 2.73)	< 0.0001
Proteinuria
Severe proteinuria	Ref
Moderate proteinuria	1.37 (1.15, 1.63)	< 0.001

*Model adjusted for individual PCP as a random effect variable

†Continuous variable, count of prescriptions in EHR-defined pharmaceutical classes: thiazide, loop and potassium-sparing diuretics, beta blockers, calcium channel blockers, combined alpha and beta blockers, alpha antagonists, hydralazine