ArticleJournal of managed care & specialty pharmacy2019
Factors Associated with County-Level Variation in the Prescription of Statins.
Article in Journal of managed care & specialty pharmacy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Geographic Variation of Statin Use Among US Nursing Home Residents With Life-limiting Illness.Medical care · 2021Article
- Racial disparities in medication use: imperatives for managed care pharmacy.Journal of managed care & specialty pharmacy · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe American College of Cardiology/American Heart Association recommends statins for adults aged 40-75 years with a cardiovascular disease risk factor and a 10-year risk of cardiovascular events of 7.5%-19.9%.
objectiveTo examine the association of county-level social determinant measures of health and composition of health services with use of statin prescriptions under Medicare Part D.
methodsWe used 2013 Medicare Part D prescriber county-level data to construct 2 measures of statin use: (1) statin beneficiaries ÷ total beneficiaries (prevalence [β
resultsA 1 standard deviation (SD) increase in the proportion of African Americans living in a county is associated with a 0.096 SD decrease in adequacy of supply (β
conclusionsRace and ethnicity, income, and distribution of provider types were significantly associated with county-level variation in statin use, despite being unlikely to measure differences in actual medical need. Such variation more likely reflects predisposing and enabling factors potentially affected by social, economic, and public health policy. Tracking variation in county-level statin use associated with these factors could help policymakers assess progress in reducing health care disparities and better target program resources. DISCLOSURES: No funding was received for this work. Karpinski reports employment by Aetna, Anthem, and Ingenio-Rx. Vanness reports unrelated consulting fees from CHEORS, Evidera, BMS, Novartis, and Merck. Look has nothing to disclose.
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