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Am J Manag Care ; 17(11): e427-34, 2011 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-22200059

RESUMEN

OBJECTIVES: To examine relative medication adherence of patients filling 90-day supplies of maintenance medications using retail and mail order channels. It was hypothesized that adherence rates would not differ across the 2 channels. STUDY DESIGN: A cross-sectional retrospective analysis was conducted using de-identified pharmacy claims data from a large pharmacy benefit manager (PBM) database over a 2-year period (January 2008 to August 2010). Patients who were continuously eligible for at least 12 months during this time frame, with benefit plan designs that allowed filling of 90-day supplies either at retail or by mail order pharmacy, were selected. METHODS: Adherence was measured by medication possession ratio (MPR) within a 1-year period. Propensity score matching was employed to minimize differences between the Retail-90 group and Mail Order-90 group. RESULTS: Overall, patients filling 90-day prescriptions for 9 therapeutic groups (antiasthmatics and bronchodilators, antidepressants, antidiabetics, antihyperlipidemics, antihypertensives, beta blockers, calcium channel blockers, diuretics, and thyroid agents) at retail pharmacies demonstrated a propensity score­matched average MPR that was statistically higher than for patients filling prescriptions via mail order (77.0% vs 76.0%). There were no significant differences in MPR (post-matching) between 90-day retail and mail order channels for individual therapeutic groups, except for antidiabetics (80.2% vs 83.1%). CONCLUSIONS: On a propensity-matched basis, patients who fill maintenance prescriptions at retail have a slightly, but statistically significantly, higher MPR than patients who fill their prescriptions by mail


Asunto(s)
Internet/estadística & datos numéricos , Cumplimiento de la Medicación/estadística & datos numéricos , Farmacias/estadística & datos numéricos , Pautas de la Práctica en Medicina/estadística & datos numéricos , Medicamentos bajo Prescripción , California , Distribución de Chi-Cuadrado , Enfermedad Crónica , Estudios Transversales , Bases de Datos Factuales/estadística & datos numéricos , Humanos , Modelos Logísticos , Puntaje de Propensión , Estudios Retrospectivos , Factores de Tiempo , Estados Unidos
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