The Medicare Part D drug benefit created choices for beneficiaries among many prescription drug plans with varying levels of coverage. As a result, Medicare enrollees with high prescription drug costs have strong incentives to enroll in Part D, especially in plans with more comprehensive coverage. To measure this potential problem of "adverse selection," which could threaten plans' finances, we compared baseline characteristics among groups of beneficiaries with various drug coverage arrangements in 2006. We found some significant differences. For example, enrollees in stand-alone prescription drug plans, especially in plans offering benefits in the coverage gap, or "doughnut hole," had higher baseline drug costs and worse health than enrollees in Medicare Advantage prescription drug plans. Although risk-adjusted payments and other measures have been put in place to account for selection, these patterns could adversely affect future Medicare costs and should be watched carefully.
Part D data can be successfully used to monitor Beers drug use. With adjustments for several important and easily measured demographic, health, and prescription drug use covariates, Beers drug use appears to be as common among non-dual enrollees as it is among dual enrollees in the Part D program. New Part D drug utilization policies that apply to all beneficiaries may need to be enacted to reduce Beers drug use.
Purpose -The purpose of this paper is to examine rates of potentially inappropriate prescribing in a population dually eligible for Medicare and Medicaid using the new 2003 Fick update, which revises the previous 1997 Beers list. Design/methodology/approach -Cross sectional retrospective review of 2003 Centers for Medicare and Medicaid Service (CMS) Medicaid Pharmacy claims data. Claims data submitted for outpatient and nursing home residents for elderly enrollees dually eligible for Medicare and Medicaid were analyzed. Potentially inappropriate drug use was assessed using the 2003 Fick update to the previous 1997 Beers list. Inappropriate use was identified based on these criteria for drugs independent of diagnosis. Findings -Of enrollees with drug use, 34 percent received an inappropriate drug per the 1997 Beers list; 47 percent per the 2003 Fick update. Hispanics had the highest percentage of drug recipients receiving an inappropriate drug in the Northeast region per the 2003 Fick update. Within therapeutic category, the number of inappropriate genitourinary products dispensed to total genitourinary products ranked the highest at 20 percent per the 2003 Fick update. Practical implications -This study examines variations in Beers drug use in the elderly dually eligible Medicare and Medicaid population in 2003 by applying the 2003 Fick et al. update of the 1997 Beers list to one of the nation's largest sources of person-specific data on prescribed drugs. Inappropriate use was identified for drugs independent of diagnosis. Of enrollees with drug use, 34 percent received an inappropriate drug per the 1997 Beers list; 47 percent per the 2003 Fick update.Within therapeutic category, the number of inappropriate genitourinary products dispensed to total genitourinary products ranked the highest at 20 percent per the 2003 Fick update. The paper's findings provide evidence that the potential use of inappropriate drugs in Hispanics should be considered separately from other ethnicity groups. Originality/value -A markedly higher rate of potentially inappropriate drug use in the elderly Medicaid population exists following the Fick update. These findings provide evidence that the potential use of inappropriate drugs in Hispanics should be considered separately from other ethnicity groups. By comparing drug use based on therapeutic category, genitourinary products were found to have the highest potential for inappropriate prescribing.
OBJECTIVES:(1) to assess non-compliance among Medicare Part D recipients for the cardiovascular medication classes; (2) to identify the probability of noncompliance for each medication class when controlling for the potential risk factors of age, gender, race/ethnic origin, census region, disease burden, dual eligibility enrollment status, Part D plan status, relative out-of-pocket (OOP) non-class costs, and relative OOP daily class costs.
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