ArticleMedicine2020
The role of county-level socioeconomic status on brand-name prescriptions in Medicare part D: A cross-sectional Study.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this study was to examine the association between county-level socioeconomic factors and brand-name drug prescription drug patterns among medical specialties with overall high brand-name outpatient prescription use.This cross-sectional study used data from 2 publicly available datasets. The 2015 Medicare Part D PUF data quantifies the prescription rates at the county-level and data from the US Census Bureau provides information on socioeconomic status at the county-level.We analyzed 3,821,523 brand-name claims and 14,088,613 generic claims reported by health providers from 40 specialties as provided by the 2015 Medicare Part D dataset. Internal Medicine, Family Practice, General Practice, Cardiology, and Ophthalmology accounted for 71% of the total amount of brand-name drugs filled under Medicare Part D in 2015. As the presence of individuals with an income ≥$100,000 increased in a given county, the likelihood of receiving a brand-name prescription claim increased.A county-level association exists involving socioeconomic factors and outpatient brand-name drug prescription patterns. Future interventions should consider these factors in order to reduce percentage of brand-name drugs filled and decrease health care expenditures.
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