Literature DB >> 21531901

Optimizing statin treatment decisions for diabetes patients in the presence of uncertain future adherence.

Jennifer E Mason1, Darin A England2, Brian T Denton1, Steven A Smith3, Murat Kurt4, Nilay D Shah3.   

Abstract

BACKGROUND: Statins are an important part of the treatment plan for patients with type 2 diabetes. However, patients who are prescribed statins often take less than the prescribed amount or stop taking the drug altogether. This suboptimal adherence may decrease the benefit of statin initiation.
OBJECTIVE: To estimate the influence of adherence on the optimal timing of statin initiation for patients with type 2 diabetes.
METHOD: The authors use a Markov decision process (MDP) model to optimize the treatment decision for patients with type 2 diabetes. Their model incorporates a Markov model linking adherence to treatment effectiveness and long-term health outcomes. They determine the optimal time of statin initiation that minimizes expected costs and maximizes expected quality-adjusted life years (QALYs).
RESULTS: In the long run, approximately 25% of patients remain highly adherent to statins. Based on the MDP model, generic statins lower costs in men and result in a small increase in costs in women relative to no treatment. Patients are able to noticeably increase their expected QALYs by 0.5 to 2 years depending on the level of adherence.
CONCLUSIONS: Adherence-improving interventions can increase expected QALYs by as much as 1.5 years. Given suboptimal adherence to statins, it is optimal to delay the start time for statins; however, changing the start time alone does not lead to significant changes in costs or QALYs.

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Year:  2011        PMID: 21531901     DOI: 10.1177/0272989X11404076

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


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