Literature DB >> 29668208

Cost sharing and branded antidepressant initiation among patients treated with generics.

Jason D Buxbaum1, Michael E Chernew, Machaon Bonafede, Anna Vlahiotis, Deborah Walter, Lisa Mucha, A Mark Fendrick.   

Abstract

OBJECTIVES: To determine the relationship between consumer cost sharing for branded antidepressants and the initiation of branded therapy among patients with major depressive disorder (MDD) filling a prescription for generic MDD medication. STUDY
DESIGN: Retrospective cross-sectional analyses.
METHODS: Patients aged 18 to 64 years with MDD who filled a generic antidepressant were identified in commercial claims data for 2012 to 2014. For each year-specific analysis, an average cost-sharing index for branded antidepressants at the level of the plan was computed. Multivariable models were used to estimate the relationship between plan-level cost sharing for branded antidepressant medications and the filling of branded prescriptions, with demographic and clinical variables as covariates.
RESULTS: For patients with MDD filling a generic prescription, increases in branded cost sharing were associated with significant decreases in the likelihood of filling a branded antidepressant in each year (P <.001). Results in 2012 imply that a shift from the 0th to 90th percentile in the branded cost-sharing index corresponded with a 9.5% decrease in the relative likelihood of a branded fill among patients receiving a generic antidepressant. The corresponding figures for 2013 and 2014 were 9.3% and 3.5%, respectively.
CONCLUSIONS: In MDD, patients and clinicians who dutifully adhere to guidelines requiring a trial of first-line medication may ultimately require therapy with alternate agents to achieve adequate disease control. A "reward the good soldier" benefit design would lower cost sharing for higher-tier evidence-based therapies when clinically indicated. Results suggest that narrowing the gap in cost sharing between branded and generic medications following a trial of a generic agent might improve access to second-line treatment in MDD.

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Year:  2018        PMID: 29668208

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  1 in total

1.  Comparing Gold-standard Copayment and Coinsurance Values From Claims Processing Engines to Values Derived From Behavioral Health Claims Databases.

Authors:  Sarah A Friedman; Haiyong Xu; Francisca Azocar; Susan L Ettner
Journal:  Med Care       Date:  2022-04-01       Impact factor: 2.983

  1 in total

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