Table 4.
The Association of the Coverage Gap with Medication Adherence Among Aged Beneficiaries With Heart Failure and/or Diabetes
Health Conditions |
Study & Comparison Groups |
Unadjusted Data* | Diff-in-Diff Coverage Gap Effects† |
% Change, Diff- in-Diff Effects/Pre-Gap Values‡ |
|||
---|---|---|---|---|---|---|---|
Pre-Gap | Within- Gap |
Estimate | 95% CI | % | 95% CI | ||
Medication Possession Ratio | |||||||
Heart failure | No-coverage | 0.868 | 0.829 | −0.03 | (−0.04, −0.03) | −3.6 | (−4.2, −2.9) |
Generic-only | 0.873 | 0.863 | −0.01 | (−0.02, 0.00) | −1.1 | (−1.8, −0.4) | |
LIS | 0.853 | 0.850 | Ref | ||||
Diabetes | No-coverage | 0.763 | 0.656 | −0.08 | (−0.09, −0.07) | −10.3 | (−11.3, −9.4) |
Generic-only | 0.770 | 0.696 | −0.05 | (−0.06, −0.05) | −7.1 | (−8.2, −6.1) | |
LIS | 0.754 | 0.729 | Ref |
The sample sizes for the subsample of beneficiaries with heart failure are 11,542 in the no-coverage group, 4,578 in the generic-only group and 16,786 in the LIS group.
The sample sizes for the subsample of beneficiaries with diabetes are 12,349 in the no-coverage group, 5,308 in the generic-only group and 15,797 in the LIS group.
These are average numbers in the pre-gap and within-gap periods, but they are unadjusted and unweighted raw data.
“Diff-in-Diff Coverage Gap Effects” are adjusted estimates from the difference-in-difference model with the inverse of propensity score as a weight. The estimates measure changes in outcomes between within-gap and pre-gap periods in each study group, relative to the changes in outcomes in the comparison group (“Ref”). Propensity score model was conducted separately for each subpopulation.
“% Change” is calculated using “Diff-in-Diff Coverage Gap Effects” divided by pre-gap values.
Abbreviations: LIS = low-income-subsidies; this is the comparison group. Ref = reference group.