Evidence map›Paper›PMID 24521363›Full record

ArticleJournal of the American Geriatrics Society2014

Effect of multiple pharmacy use on medication adherence and drug-drug interactions in older adults with Medicare Part D.

Zachary A Marcum, Julia Driessen, Carolyn T Thorpe, Walid F Gellad, Julie M Donohue

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of the American Geriatrics Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 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

5 authors at 3 institutions in 1 country.

Zachary A MarcumDivision of Geriatric Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Julia Driessen
Carolyn T Thorpe
Walid F Gellad
Julie M Donohue
University of Pittsburgh · USRAND Corporation · USUniversity of Pittsburgh Medical Center · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
University of Pittsburgh Clinical and Translational Science InstitutionKL2TR000146 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$8.7M
Enhancing the Detection and Management of Adverse Drug Events in the Nursing HomeR01HS018721 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANDLER, STEVEN MARK · 2010 to 2013
$2.0M
Longitudinal Impact of CNS Polypharmacy on Geriatric SyndromesR01AG027017 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANLON, JOSEPH T · 2006 to 2012
$801k
UPITT Program for Pharmaceutical Outcomes Research in AgingK07AG033174 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANLON, JOSEPH T · 2009 to 2013
$461k
AHRQ HHS R01 HS018721AHRQ HHS R01HS018721HSRD VA CDA 09-207NCATS NIH HHS KL2 TR000146NCATS NIH HHS UL1 TR000005NIA NIH HHS K07 AG033174NIA NIH HHS K07AG033174NIA NIH HHS P30 AG024827NIA NIH HHS P30AG024827NIA NIH HHS R01 AG027017NIA NIH HHS R01AG027017
6 · The paper itself

Abstract

objectivesTo assess the association between multiple pharmacy use and medication adherence and potential drug-drug interactions (DDIs) in older adults.

designCross-sectional propensity score-weighted analysis.

setting2009 claims data.

participantsA nationally representative sample of 926,956 Medicare Part D beneficiaries aged 65 and older continuously enrolled in fee-for-service Medicare and Part D that year who filled one or more prescriptions at a community retail or mail order pharmacy. MEASUREMENTS: Multiple pharmacy use was defined as concurrent (overlapping time periods) or sequential use (non-overlapping time periods) of ≥ 2 pharmacies in the year. Medication adherence was calculated using a proportion of days covered of 0.80 or greater for eight therapeutic categories (beta-blockers, renin angiotensin system antagonists, calcium channel blockers, statins, sulfonylureas, biguanides (metformin), thiazolidinediones, and dipeptidyl peptidase-IV inhibitors). Potential DDIs arising from use of certain drugs across a broad set of classes were defined as the concurrent filling of two interacting drugs.

resultsOverall, 38.1% of the sample used multiple pharmacies. Those using multiple pharmacies (concurrently or sequentially) consistently had higher adjusted odds of nonadherence (ranging from 1.10 to 1.31, P < .001) across all chronic medication classes assessed after controlling for sociodemographic, health status, and access to care factors than single pharmacy users. The adjusted predicted probability of exposure to a DDI was also slightly higher for those using multiple pharmacies concurrently (3.6%) than for single pharmacy users (3.2%, adjusted odds ratio (AOR) = 1.11, 95% confidence interval (CI) = 1.08-1.15) but lower in individuals using multiple pharmacies sequentially (2.8%, AOR = 0.85, 95% CI = 0.81-0.91).

conclusionsFilling prescriptions at multiple pharmacies was associated with lower medication adherence across multiple chronic medications and a small but statistically significant greater likelihood of DDIs in concurrent pharmacy users.

Indexed as

Drug InteractionsDrug MonitoringMedicare Part DAgedCross-Sectional StudiesFemaleHumansMalePharmaceutical ServicesPropensity ScoreRetrospective StudiesTime FactorsUnited Statesdrug interactionsMedicaremedication adherencepharmacy

Identifiers

PMID24521363
PMCPMC4115075
OpenAlexW2050758728

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.