|
The impact of prescription drug charges on the use of generic or reference-priced drugs |
|||
| Variable |
Use of generics |
Use of other substitutes |
Studies |
|
|
|||
| Co-payment |
N/A |
+ |
Esposito1 [45] (US, OS, CD, R) |
| Multi-tier formulary (vs. 1- or 2-tiers) |
0 |
+ |
Huskamp et al. [125] (US, NS, CD, R); Motheral and Fairman [28] (US, NS, CD, R) |
| Multi-tier formulary (vs. 1- or 2-tiers) |
0 |
N/A |
Gibson et al. [90] (US, NS, PD, R); Motheral and Henderson [63] (US, NS, CD, R) |
| Multi-tier formulary (vs. 1- or 2-tiers) |
N/A |
+ |
Kamal-Bahl and Briesacher [91] (US, OS, CD, R); Landsman et al. [65] (US, NS, TD, R); |
| Co-insurance |
0 |
N/A |
Liebowitz et al. [48] (US, ES, CD, R); Newhouse [49] (US, ES, CD, R) |
| Mixed system |
+ |
N/A |
Hong and Shepherd [46] (US, OS, CD, NR); Mortimer [47] (US, OS, CD, R) |
| Reference pricing (non-RP drugs) |
+ |
N/A |
Marshall et al. [42] (CA, NS, TD, R); McManus et al. [43] (AU, NS, TD, R); Narine et al. [44] (CA, NS, TD, NR) |
| Reference pricing (non-RP drugs) |
N/A |
+ |
Mabasa and Ma [39] (CA, NS, CS, NR) |
|
Country: AU = Australia; CA = Canada; US = United States Type of study: ES = experimental study; NS = natural study; OS = observational study Type of data analyzed: CD = cross-sectional data; TD = time-series data; PD = panel data Type of statistical analysis used: R = regression techniques; NR = no regression techniques | |||
Gemmill et al. International Journal for Equity in Health 2008 7:12 doi:10.1186/1475-9276-7-12 |
|||