Literature DB >> 16405983

Disparities among the disadvantaged: variation in lipid management in the Ohio Medicaid program.

David Litaker1, Siran Koroukian, Joseph P Frolkis, David C Aron.   

Abstract

BACKGROUND: Racial disparities exist in cardiovascular disease (CVD) prevention, but other non-clinical factors may influence treatment, further exacerbating disparities.
METHODS: Using Ohio Medicaid data from 1992 to 1999, we identified a sample of 19,106 individuals with CVD-related diagnoses or procedures. A review of pharmacy claims identified previous, new, and long-term users of lipid-lowering agents, including statins, fibrates, and bile sequestrants.
RESULTS: 3,934 (20.6%) Medicaid beneficiaries used lipid-lowering medications previously, 1,598 (10.5%) filed new claims, and 2,998 of 5,532 (54.2%) previous or new users filed >or=6 claims for refills. Minority adults <or=60 years were least likely to have been previous users (0.80 [0.67, 0.96]), new users (0.75 [0.58, 0.98]), or to use lipid-lowering agents long-term (0.65 [0.49, 0.84]).
CONCLUSIONS: Targeted efforts to enhance younger minority adults' receipt and long-term use of lipid-lowering agents may reduce risks for subsequent morbidity and mortality related to CVD.

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Year:  2006        PMID: 16405983     DOI: 10.1016/j.ypmed.2005.11.016

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  6 in total

1.  Studying prescription drug use and outcomes with medicaid claims data: strengths, limitations, and strategies.

Authors:  Stephen Crystal; Ayse Akincigil; Scott Bilder; James T Walkup
Journal:  Med Care       Date:  2007-10       Impact factor: 2.983

2.  Race, ethnicity, and state-by-state geographic variation in hemorrhagic stroke in dialysis patients.

Authors:  James B Wetmore; Milind A Phadnis; Jonathan D Mahnken; Edward F Ellerbeck; Sally K Rigler; Xinhua Zhou; Theresa I Shireman
Journal:  Clin J Am Soc Nephrol       Date:  2014-01-23       Impact factor: 8.237

3.  Impact of race on cumulative exposure to antihypertensive medications in dialysis.

Authors:  James B Wetmore; Jonathan D Mahnken; Sally K Rigler; Edward F Ellerbeck; Purna Mukhopadhyay; Qingjiang Hou; Theresa I Shireman
Journal:  Am J Hypertens       Date:  2012-12-28       Impact factor: 2.689

4.  Association of race with cumulative exposure to statins in dialysis.

Authors:  James B Wetmore; Jonathan D Mahnken; Sally K Rigler; Edward F Ellerbeck; Purna Mukhopadhyay; Qingjiang Hou; Theresa I Shireman
Journal:  Am J Nephrol       Date:  2012-06-27       Impact factor: 3.754

Review 5.  Disparity implications of the Medicare medication therapy management eligibility criteria: a literature review.

Authors:  Kiraat D Munshi; Ya-Chen T Shih; Lawrence M Brown; Samuel Dagogo-Jack; Jim Y Wan; Junling Wang
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2013-04       Impact factor: 2.217

6.  Lipid-lowering pharmacotherapy and socioeconomic status: Atherosclerosis Risk In Communities (ARIC) surveillance study.

Authors:  Joseph P Kitzmiller; Randi E Foraker; Kathy M Rose
Journal:  BMC Public Health       Date:  2013-05-20       Impact factor: 3.295

  6 in total

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