Evidence map›Paper›PMID 32098707›Full record

ArticleResearch in social & administrative pharmacy : RSAP2020

Disparities in the appropriateness of medication use: Analysis of the REasons for Geographic And Racial Differences in Stroke (REGARDS) population-based cohort study.

Motiur Rahman, George Howard, Jingjing Qian, Kimberly Garza, Ash Abebe, Richard Hansen

Abstract read
In one paragraph

Article in Research in social & administrative pharmacy : RSAP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Motiur RahmanAuburn University, Harrison School of Pharmacy, Department of Health Outcomes Research and Policy, Auburn, AL, USA. Electronic address: mzr0042@auburn.edu.
George HowardUniversity of Alabama at Birmingham, Ryals School of Public Health, Department of Biostatistics, Birmingham, AL, USA.
Jingjing QianAuburn University, Harrison School of Pharmacy, Department of Health Outcomes Research and Policy, Auburn, AL, USA.
Kimberly GarzaAuburn University, Harrison School of Pharmacy, Department of Health Outcomes Research and Policy, Auburn, AL, USA.
Ash AbebeAuburn University, Department of Mathematics and Statistics, Auburn, AL, USA.
Richard HansenAuburn University, Harrison School of Pharmacy, Department of Health Outcomes Research and Policy, Auburn, AL, USA. Electronic address: rah0019@auburn.edu.

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

backgroundPrior work has identified disparities in the quality and outcomes of healthcare across socioeconomic subgroups. Medication use may be subject to similar disparities.

objectiveTo assess the association between demographic and socioeconomic factors (gender, age, race, income, education, and rural or urban residence) and appropriateness of medication use.

methodsUS adults aged ≥45 years (n = 26,798) from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study were included in the analyses, of which 13,623 participants aged ≥65 years (recruited 2003-2007). Potentially inappropriate medication (PIM) use in older adults and drug-drug interactions (DDIs) were identified through 2015 Beers Criteria and clinically significant drug interactions list by Ament et al., respectively as measures of medication appropriateness. Multivariable logistic regression was used to assess the association of disparity parameters with PIM use and DDIs. Interactions between race and other disparity variables were investigated.

resultsApproximately 87% of the participants aged ≥65 years used at least one drug listed in the Beers Criteria, and 3.8% of all participants used two or more drugs with DDIs. Significant gender-race interaction across prescription-only drug users revealed that white females compared with white males (OR = 1.33, 95% CI 1.20-1.48) and black males compared with white males (OR = 1.60, 95% CI 1.41-1.82) were more likely to receive PIM. Individuals with lower income and education also were more likely to use PIM in this sub-group. Females were less likely than males (female vs. male: OR = 0.55, 95% CI 0.48-0.63) and individuals resided in small rural areas as opposed to urban areas (small rural vs. urban: OR = 1.37, 95% CI 1.07-1.76) were more likely to have DDIs.

conclusionDemographic and socioeconomic disparities in PIM use and DDIs exist. Future studies should seek to better understand factors contributing to the disparities in order to guide development of interventions.

Indexed as

Inappropriate PrescribingStrokeAgedCohort StudiesFemaleHumansMalePotentially Inappropriate Medication ListRace FactorsDrug-drug interactionPotentially inappropriate medicationREGARDSSocioeconomic disparity

Identifiers

PMID32098707
PMCPMC7438264

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.