Evidence map›Paper›PMID 28635299›Full record

ArticleThe Annals of pharmacotherapy2017

Prevalence and Geographic Variations of Polypharmacy Among West Virginia Medicaid Beneficiaries.

Xue Feng, Xi Tan, Brittany Riley, Tianyu Zheng, Thomas K Bias, James B Becker, Usha Sambamoorthi

Abstract read
In one paragraph

Article in The Annals of pharmacotherapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Xue Feng1 West Virginia University, Morgantown, WV, USA.
Xi Tan1 West Virginia University, Morgantown, WV, USA.
Brittany Riley2 Marshall University, Huntington, WV, USA.
Tianyu Zheng1 West Virginia University, Morgantown, WV, USA.
Thomas K Bias1 West Virginia University, Morgantown, WV, USA.
James B Becker2 Marshall University, Huntington, WV, USA.
Usha Sambamoorthi1 West Virginia University, Morgantown, WV, USA.
West Virginia University · USMarshall University · USVirginia Department of Health · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Laura F. Gibson · 2012 to 2026
$81.0M
NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

backgroundWest Virginia (WV) residents are at high risk for polypharmacy given its considerable chronic disease burdens.

objectiveTo evaluate the prevalence, correlates, outcomes, and geographic variations of polypharmacy among WV Medicaid beneficiaries.

methodsIn this cross-sectional study, we analyzed 2009-2010 WV Medicaid fee-for-service (FFS) claims data for adults aged 18-64 (N=37,570). We defined polypharmacy as simultaneous use of drugs from five or more different drug classes on a daily basis for at least 60 consecutive days in one year. Multilevel logistic regression was used to explore the individual- and county-level factors associated with polypharmacy. Its relationship with healthcare utilization was assessed using negative binomial regression and logistic regression. The univariate local indicators of spatial association method was applied to explore spatial patterns of polypharmacy in WV.

resultsThe prevalence of polypharmacy among WV Medicaid beneficiaries was 44.6%. High-high clusters of polypharmacy were identified in southern WV, indicating counties with above-average prevalence surrounded by counties with above-average prevalence. Polypharmacy was associated with being older, female, eligible for Medicaid due to cash assistance or medical eligibility, having any chronic conditions or more chronic conditions, and living in a county with lower levels of education. Polypharmacy was associated with more hospitalizations, emergency department visits, and outpatient visits, as well as higher non-drug medical expenditures.

conclusionsPolypharmacy was prevalent among WV Medicaid beneficiaries and was associated with substantial healthcare utilization and expenditures. The clustering of high prevalence of polypharmacy in southern WV may suggest targeted strategies to reduce polypharmacy burden in these areas.

Indexed as

Fee-for-Service PlansMedicaidPolypharmacyAdolescentAdultCross-Sectional StudiesEmergency Service, HospitalFemaleHospitalizationHumansLogistic ModelsMaleMiddle AgedPrevalenceUnited StatesWest Virginiaexpendituregeographyhealth care utilizationMedicaidpolypharmacy

Identifiers

PMID28635299
PMCPMC5640491
OpenAlexW2643797792

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LicenceTDM
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Registered trials

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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.