Evidence map›Paper›PMID 34343225›Full record

ArticlePloS one2021

Polypharmacy prevalence in older adults seen in United States physician offices from 2009 to 2016.

Eric H Young, Samantha Pan, Alex G Yap, Kelly R Reveles, Kajal Bhakta

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 2 pooled it
10.1field-weighted citation impact, top 1% 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

73 citing papers in PubMed, 2 syntheses or guidelines pooled it, 122 citations in OpenAlex.

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  14. Supporting Older People Living With Frailty to Self-Manage Multiple Medicines: An Experience-Based Co-Design of a Complex Intervention Developed in UK Primary Care.Health expectations : an international journal of public participation in health care and health policy · 2025
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13 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Eric H YoungCollege of Pharmacy, The University of Texas at Austin, Austin, Texas, United States of America.
Samantha PanCollege of Pharmacy, The University of Texas at Austin, Austin, Texas, United States of America.
Alex G YapCollege of Pharmacy, The University of Texas at Austin, Austin, Texas, United States of America.
Kelly R RevelesCollege of Pharmacy, The University of Texas at Austin, Austin, Texas, United States of America.
Kajal BhaktaCollege of Pharmacy, The University of Texas at Austin, Austin, Texas, United States of America.ORCID 0000-0002-1196-9875
The University of Texas Health Science Center at San Antonio · US

Funding

San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Adam Salmon · 2015 to 2026
$14.1M
NIA NIH HHS P30 AG044271
6 · The paper itself

Abstract

BACKGROUND/

objectivesWith an aging population suffering from increased prevalence of chronic conditions in the United States (U.S.), a large portion of these patients are on multiple medications. High-risk medications can increase the risk for drug-drug interactions and medication nonadherence. This study aims to describe the prevalence of polypharmacy and high-risk medication prescribing in U.S. physician offices.

methodsThis was a cross-sectional study of the Centers for Disease Control and Prevention's National Ambulatory Medical Care Survey from 2009 to 2016. All patients over 65 years old were included. Polypharmacy was categorized as no polypharmacy (< 2 medications), minor polypharmacy (2-3 medications), moderate polypharmacy (4-5 medications), and major polypharmacy (>5 medications). Medications were further categorized into high-risk medication categories (anticholinergics, cardiovascular agents, central nervous system (CNS) medications, pain medications, and other). Comparisons between the degrees of polypharmacy were performed utilizing chi-square or Wilcoxon rank-sum tests with JMP Pro 14® (SAS Institute, Cary, NC).

resultsOver 2 billion patient visits were included. Overall, Polypharmacy was common (65.1%): minor polypharmacy (16.2%), moderate polypharmacy (12.1%), and major polypharmacy (36.8%). Patients with major polypharmacy were older compared to those with moderate or minor polypharmacy (75 vs. 73 years, respectively) and were most frequently prescribed pain medications (477.3 per 1,000 total visits). NSAIDs were the most frequently prescribed, with 232.4 per 1,000 total visits resulting in one high-risk NSAID prescription, while 21.9 per 1,000 total visits resulted in two or more high-risk NSAIDs.

conclusionMost patients over 65 years experienced some degree of polypharmacy, with many experiencing major polypharmacy. This indicates an increased need for expanded pharmacist roles through medication therapy management and safety monitoring in this patient population.

Indexed as

PolypharmacyAgedAged, 80 and overAnti-Inflammatory Agents, Non-SteroidalCenters for Disease Control and Prevention, U.S.Chronic DiseaseCross-Sectional StudiesDrug InteractionsDrug PrescriptionsFemaleHealth Care SurveysHumansMalePainPhysiciansPhysicians' OfficesAnti-Inflammatory Agents, Non-SteroidalPrescription Drugs

Identifiers

PMID34343225
PMCPMC8330900
OpenAlexW3187219991

What OpenQuestion holds

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Registered trials

None linked

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.