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. Author manuscript; available in PMC: 2013 Jul 1.
Published in final edited form as: Arch Gen Psychiatry. 2012 Jul 1;69(7):672–679. doi: 10.1001/archgenpsychiatry.2011.1402

Table 3.

The Impact of Coverage Gap on Heart Failure Medication Use and Spending among Elderly Beneficiaries Diagnosed with Depression in 2007


Unadjusted Data* Diff-in-Diff Coverage Gap Effect % Change, Diff-in-Diff Effects/Pre-Gap Values

Pre-Gap Within-Gap Estimate 95% CI % 95% CI
Probability of Using a Drug
All No-coverage 0.88 0.72 −0.05 (−0.05, −0.04) −5.2 (−6.2, −4.2)
Generic-only 0.91 0.80 −0.04 (−0.05, −0.03) −4.6 (−5.7, −3.6)
LIS 0.90 0.82 Reference

Brand-name No-coverage 0.65 0.40 −0.05 (−0.07, −0.04) −8.2 (−10.1, −6.3)
Generic-only 0.66 0.45 −0.06 (−0.08, −0.05) −9.7 (−11.8, −7.6)
LIS 0.60 0.42 Reference

Generics No-coverage 0.75 0.64 −0.02 (−0.03, −0.01) −2.3 (−3.7, −1.0)
Generic-only 0.79 0.73 −0.02 (−0.03, −0.01) −2.2 (−3.6, −0.7)
LIS 0.81 0.75 Reference

No. of Monthly Prescriptions
All No-coverage 1.79 1.33 −0.23 (−0.26, −0.20) −12.9 (−14.7, −11.2)
Generic-only 2.04 1.63 −0.18 (−0.21, −0.14) −8.7 (−10.4, −7.0)
LIS 1.90 1.66 Reference

Brand-name No-coverage 0.71 0.36 −0.15 (−0.17, −0.13) −21.1 (−23.4, −18.7)
Generic-only 0.78 0.40 −0.14 (−0.16, −0.13) −18.6 (−21.1, −16.2)
LIS 0.61 0.39 Reference

Generics No-coverage 1.08 0.97 −0.08 (−0.11, −0.06) −7.6 (−10.0, −5.1)
Generic-only 1.27 1.23 −0.03 (−0.06, 0.00) −2.6 (−4.9, −0.2)
LIS 1.29 1.27 Reference

Monthly Pharmacy Spending
All No-coverage 65 40 −12.10 (−13.38, −10.82) −18.7 (−20.7, −16.7)
Generic-only 72 47 −11.39 (−12.86, −9.92) −15.8 (−17.8, −13.7)
LIS 62 49 Reference

Brand-name No-coverage 49 25 −10.44 (−11.64, −9.25) −21.5 (−24.0, −19.1)
Generic-only 53 27 −10.26 (−11.64, −8.88) −19.5 (−22.1, −16.9)
LIS 43 28 Reference

Generics No-coverage 16 15 −1.66 (−2.23, −1.08) −10.3 (−13.9, −6.7)
Generic-only 20 20 −1.13 (−1.81, −0.45) −5.8 (−9.3, −2.3)
LIS 20 21 Reference
*

These are average numbers in the pre-gap and within-gap periods, but they are unadjusted 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 (“Reference”).

“% 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.