Impact of Fixed-Dose Combination Drugs on Adherence to Prescription Medications
Rent the article at a discountRent now
* Final gross prices may vary according to local VAT.Get Access
The inverse correlation between the complexity of a drug regimen and medication adherence is well established. Fixed-dose combination (FDC) therapies are hypothesized to enhance compliance by decreasing the number of required pills.
The objective of the study is to compare adherence of a FDC [Glucovance®, a FDC of metformin and glyburide] to a 2-pill regimen.
Longitudinal data from a large claims database were used to assess adherence from January 1, 2000, to December 31, 2001. Propensity scoring methods were used to mitigate concerns related to non-random assignment of patients to treatments.
The subjects of the study were individuals prescribed metformin or sulfonylurea or both before July 2000, who were prescribed both metformin and sulfonylurea concurrently (either separately or FDC) after August 2000.
Adherence was measured by medication possession ratio; the proportion of days on which a patient had medication available.
The FDC enhanced adherence rates by approximately 13% when compared to a 2-pill regimen.
Compared to 2-pill therapy, a FDC resulted in important increases in patient adherence. Economic analyses are warranted to determine whether the clinical benefits attributable to the adherence gains are worth the incremental cost of a FDC.
- Impact of Fixed-Dose Combination Drugs on Adherence to Prescription Medications
Journal of General Internal Medicine
Volume 23, Issue 5 , pp 611-614
- Cover Date
- Print ISSN
- Online ISSN
- Additional Links
- fixed-dose combination drugs
- prescription medications
- Industry Sectors
- Author Affiliations
- 1. Department of Health Management and Policy, University of Michigan, Ann Arbor, MI, USA
- 2. Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
- 3. Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- 4. Department of Health Management and Policy, University of Michigan, Ann Arbor, MI, USA