Table 2.
Multivariable Logistic Regression Modeling: Predictors of MTM enrollment, CMR Offer, and CMR Receipt in Older Adult Medicare Beneficiaries, 2014.
| MTM Enrollment | CMR Offer | CMR Receipt | |
|---|---|---|---|
|
|
|||
| AOR (95%CI)a | AOR (95%CI)a | AOR (95%CI)a | |
|
|
|||
| (n = 5,822,188)b | (n = 669,254)c | (n = 649,201)d | |
|
| |||
| Predisposing Characteristics | |||
|
| |||
| Age | 1.00 (1.001, 1.002) | 0.99 (0.992, 0.996) | 0.99 (0.994, 0.995) |
| Male | 1.23 (1.222, 1.238) | 1.05 (1.024, 1.087) | 0.93 (0.926, 0.951) |
| Race/Ethnicity | |||
| White | Ref. | Ref. | Ref. |
| Black | 1.43 (1.417, 1.446) | 0.73 (0.701, 0.762) | 1.45 (1.417, 1.475) |
| Asian | 1.01 (0.994, 1.031) | 0.92 (0.841, 1.011) | 0.64 (0.610, 0.665) |
| Hispanic | 1.25 (1.235, 1.263) | 0.72 (0.686, 0.753) | 0.97 (0.944, 0.988) |
| North American Native | 1.09 (1.033, 1.151) | 1.10 (0.815, 1.503) | 0.84 (0.741, 0.942) |
| Other/Unknown | 0.99 (0.965, 1.020) | 0.89 (0.779, 1.028) | 0.90 (0.850, 0.960) |
|
| |||
| Enabling Characteristics | |||
|
| |||
| Income Based Enrollment | |||
| No Low Income Subsidy | Ref. | Ref. | Ref. |
| Specified Low-Income Medicare Beneficiary | 0.77 (0.759, 0.787) | 0.76 (0.705, 0.829) | 1.08 (1.048, 1.123) |
| Qualified Medicare Beneficiary | 0.93 (0.909, 0.946) | 0.68 (0.623, 0.739) | 1.18 (1.136, 1.224) |
| Dual Medicaid Enrollment | 0.69 (0.682, 0.694) | 0.48 (0.457, 0.497) | 0.64 (0.626, 0.650) |
| Copayment Status During Year | |||
| No Coverage Gap | Ref. | Ref. | Ref. |
| Coverage Gap Exposure | 3.71 (3.686, 3.737) | 3.04 (2.923, 3.156) | 1.27 (1.254, 1.291) |
| Catastrophic Coverage | 4.20 (4.158, 4.241) | 2.27 (2.158, 2.380) | 1.23 (1.202, 1.249) |
| Geographic Region | |||
| North East | Ref. | Ref. | Ref. |
| South | 1.01 (1.001, 1.018) | 0.35 (0.328, 0.365) | 0.92 (0.902, 0.936) |
| Midwest | 1.23 (1.222, 1.245) | 0.59 (0.555, 0.626) | 0.86 (0.845, 0.882) |
| West | 0.81 (0.798, 0.815) | 0.71 (0.661, 0.753) | 1.36 (1.330, 1.388) |
| Other | 0.63 (0.611, 0.641) | 0.10 (0.095, 0.113) | 0.83 (0.786, 0.871) |
| Urban Residence | 1.02 (1.014, 1.030) | 0.94 (0.904, 0.979) | 1.05 (1.029, 1.066) |
|
| |||
| Need Characteristics | |||
|
| |||
| Any Hospitalization | 0.54 (0.528, 0.543) | 0.84 (0.782, 0.911) | 0.87 (0.839, 0.893) |
| Any ED Visit | 0.63 (0.622, 0.633) | 1.44 (1.364, 1.522) | 0.67 (0.658, 0.686) |
| Elixhauser Conditions (sum) | 1.07 (1.064, 1.069) | 1.08 (1.063, 1.090) | 0.90 (0.896, 0.905) |
| Therapeutic Drug Classes (sum) | 1.24 (1.237, 1.238) | 1.12 (1.115, 1.122) | 1.05 (1.045, 1.048) |
a
AOR = Adjusted Odds Ratio, 95% CI = 95% Confidence Interval.
b
Likelihood ratio for the model probability to be enrolled in MTM; χ2 = 1158113, p < 0.0001. Pseudo R2 = 0.28.
c
Likelihood ratio for the model probability to be offered a CMR if enrolled in MTM; χ2 = 18499, p < 0.0001. Pseudo R2 = 0.10.
d
Likelihood ratio for the model probability to receive a CMR if offered; χ2 = 20687, p < 0.0001. Pseudo R2 = 0.03.