32 research outputs found

    Medicare Part D’s Impact on Antipsychotic Drug Use and Costs Among Elderly Patients Without Prior Drug Insurance

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    Medicare Part D’s implementation improved access to and affordability of prescription drugs for the elderly without prior drug insurance. Effects for specific drugs and drug classes are less well understood. We assessed Part D’s impact on antipsychotic medication (APM) utilization and out-of-pocket costs among elderly without prior drug insurance. Retail pharmacy claims from 3 nationwide pharmacy chains were used to analyze two time-series designs: 1) a Policy Model, to obtain a policymaker’s perspective: what was the overall impact of Part D on APM use and costs among elderly without drug insurance in 2005 with the opportunity to enroll?, and 2) a Clinical Model, to obtain a clinician’s perspective: what would happen to elderly without drug insurance in 2005 who did enroll in Part D—would they be able to get APMs? At what cost? Subgroup analyses among Part D enrollees evaluated potentially different effects for patients who received a subsidy and patients who used anti-dementia drugs. In the Policy Model, Part D implementation was associated with a 5% increase in APM use and a 37% reduction in out-of-pocket costs, suggesting a modest need for APMs among all previously uninsured elderly. Patients who did enroll in Part D (Clinical Model) had a 97% increase in APM use and a 62% decrease in out-of-pocket costs, suggesting that patients who needed APMs were able to access them at low cost through the Part D program. Part D implementation was associated with increased use and affordability of APMs for elderly without prior drug insurance

    Improving Care of Patients At-Risk for Osteoporosis: A Randomized Controlled Trial

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    BACKGROUND: Despite accurate diagnostic tests and effective therapies, the management of osteoporosis has been observed to be suboptimal in many settings. We tested the effectiveness of an intervention to improve care in patients at-risk of osteoporosis. DESIGN: Randomized controlled trial. PARTICIPANTS: Primary care physicians and their patients at-risk of osteoporosis, including women 65 years and over, men and women 45 and over with a prior fracture, and men and women 45 and over who recently used ≥90 days of oral glucocorticoids. INTERVENTION: A multifaceted program of education and reminders delivered to primary care physicians as well as mailings and automated telephone calls to patients. Outcome: Either undergoing a bone mineral density (BMD) testing or filling a prescription for a bone-active medication during the 10 months of follow-up. RESULTS: After the intervention, 144 (14%) patients in the intervention group and 97 (10%) patients in the control group received either a BMD test or filled a prescription for an osteoporosis medication. This represents a 4% absolute increase and a 45% relative increase (95% confidence interval 9–93%, p = 0.01) in osteoporosis management between the intervention and control groups. No differences between groups were observed in the incidence of fracture. CONCLUSION: An intervention targeting primary care physicians and their at-risk patients increased the frequency of BMD testing and/or filling prescriptions for osteoporosis medications. However, the absolute percentage of at-risk patients receiving osteoporosis management remained low

    Medicare Part D’s Impact on Antipsychotic Drug Use and Costs Among Elderly Patients Without Prior Drug Insurance

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    Medicare Part D’s implementation improved access to and affordability of prescription drugs for the elderly without prior drug insurance. Effects for specific drugs and drug classes are less well understood. We assessed Part D’s impact on antipsychotic medication (APM) utilization and out-of-pocket costs among elderly without prior drug insurance. Retail pharmacy claims from 3 nationwide pharmacy chains were used to analyze two time-series designs: 1) a Policy Model, to obtain a policymaker’s perspective: what was the overall impact of Part D on APM use and costs among elderly without drug insurance in 2005 with the opportunity to enroll?, and 2) a Clinical Model, to obtain a clinician’s perspective: what would happen to elderly without drug insurance in 2005 who did enroll in Part D—would they be able to get APMs? At what cost? Subgroup analyses among Part D enrollees evaluated potentially different effects for patients who received a subsidy and patients who used anti-dementia drugs. In the Policy Model, Part D implementation was associated with a 5% increase in APM use and a 37% reduction in out-of-pocket costs, suggesting a modest need for APMs among all previously uninsured elderly. Patients who did enroll in Part D (Clinical Model) had a 97% increase in APM use and a 62% decrease in out-of-pocket costs, suggesting that patients who needed APMs were able to access them at low cost through the Part D program. Part D implementation was associated with increased use and affordability of APMs for elderly without prior drug insurance

    Measuring drug exposure: concordance between defined daily dose and days' supply depended on drug class.

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    OBJECTIVES: To determine the concordance between two methods to measure drug exposure duration from pharmacy claim data. STUDY DESIGN AND SETTING: We conducted a cohort study using 2002-2007 US Medicaid data. Initiators of eight drug groups were identified: statins, metformin, atypical antipsychotics, warfarin, proton pump inhibitors (PPIs), angiotensin-converting enzyme (ACE) inhibitors, nonsteroidal anti-inflammatory drugs (ns-NSAIDs), and coxibs. For each patient, we calculated two measures of exposure duration using (1) observed days' supply available in US pharmacy claims and (2) the World Health Organisation's Defined Daily Dose (DDD) methodology. We used Wilcoxon signed rank tests to compare medians and Spearman correlations to assess correlation between the two measures. RESULTS: Cohort sizes ranged from 143,885 warfarin users to >3,000,000 ns-NSAID users. Similar median exposure durations were observed for ACE inhibitors (70 days vs.75 days), PPIs (44 days vs. 45 days), and coxibs (44 days vs. 45 days). The DDD method overestimated exposure duration for ns-NSAIDs and underestimated for the remaining drug groups, relative to days' supply. Spearman correlation coefficients ranged from 0.2 to 0.8. CONCLUSION: Using DDDs to estimate drug exposure duration can result in misclassification. The magnitude of this misclassification might depend on doses used which can vary according to factors such as local prescribing practices, renal function, and age
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