Table 3.
Price effect on Part D specialty cancer drug use: Marginal effect for a $100 increase in copayment in initial coverage
| All specialty cancer therapy drugs | Specialty antineoplastics | |
|---|---|---|
| All study sample (N=297,710) | ||
|
| ||
| Specialty cancer drug use | ||
| Ordinary least squares (OLS) | −0.035(0.022)* | −0.026(0.016) |
| IV analysis: 2-stage least squares (2SLS) | −0.068(0.029)** | −0.034(0.017)** |
| Specialty cancer drug spending among users | N=4,254 | N=3,561 |
| OLS | −319.55(279.31) | −146.16(225.64) |
| 2SLS | −262.59(435.53) | −1516.71(341.91) |
|
| ||
| Patients with leukemia (N=11,371) | ||
|
| ||
| Specialty cancer drug use | ||
| OLS | −0.244(0.210) | −0.220(0.217) |
| 2SLS | −0.423(0.233)* | −0.403(−0.222)* |
| Specialty cancer drug spending among users | N= 895 | N=852 |
| OLS | −466.21(387.34) | −337.20(363.15) |
| 2SLS | 450.31(917.01) | 529.64(873.16) |
Note: Standard errors (clustered within a plan) are in parentheses;
p < 0.10,
p < 0.05,
p < 0.01