Table 5.
Multivariate GEE Logistics Model of Factors Associated with Care Gaps in RAASi Prescription*
| Variable | AOR (95% CI) | p value |
|---|---|---|
| Age | 0.99 (0.98, 0.99) | < 0.0001 |
| Sex | ||
| Female | Ref | |
| Male | 0.91 (0.82, 1.03) | 0.13 |
| Race/ethnicity | ||
| White, non-Hispanic | Ref | |
| Asian | 0.83 (0.59, 1.15) | 0.25 |
| Black, non-Hispanic | 1.15 (0.92, 1.44) | 0.23 |
| Hispanic | 1.03 (0.82, 1.28) | 0.92 |
| Other race/ethnicity | 0.90 (0.69, 1.17) | 0.42 |
| Insurance type | ||
| Public or self-pay | Ref | |
| Commercial | 0.85 (0.75, 0.96) | < 0.01 |
| PCP site and type | ||
| Non-teaching site | Ref | |
| Teaching site, resident as PCP | 0.81 (0.68, 0.97) | 0.02 |
| Teaching site, non-resident as PCP | 0.90 (0.77, 1.05) | 0.17 |
| Insurance type | ||
| Public or self-pay | Ref | |
| Commercial | 0.85 (0.75, 0.96) | < 0.01 |
| Blood pressure | ||
| At goal ≤ 130/80 | Ref | |
| Not at goal | 1.34 (1.21, 1.49) | < 0.0001 |
| GFR categories | ||
| Category 1, GFR ≥ 90 | Ref | |
| Category 2, GFR 60–89 | 0.84 (0.71, 0.99) | 0.04 |
| Category 3, GFR 30–50 | 0.94 (0.78, 1.13) | 0.50 |
| Category 4, GFR < 30 | 2.01 (1.54, 2.60) | < 0.0001 |
| Proteinuria | ||
| Severe proteinuria | Ref | |
| Moderate proteinuria | 1.28 (1.14, 1.44) | < 0.0001 |
| Potassium | ||
| Normal, K < 5 | Ref | |
| K abnormal or unknown | 1.20 (0.99, 1.44) | 0.06 |
| History of hyperkalemia | ||
| Never hyperkalemia | Ref | |
| Ever hyperkalemia | 1.51 (1.35, 1.69) | < 0.0001 |
| Count of other hypertension-related Rx† | 0.86 (0.81, 0.91) | < 0.0001 |
*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