Evidence map›Paper›PMID 28454906›Full record

ArticleThe American journal of medicine2017

Association Between Patient-Reported Medication Adherence and Anticoagulation Control.

Jonathan Sevilla-Cazes, Brian S Finkleman, Jinbo Chen, Colleen M Brensinger, Andrew E Epstein, Michael B Streiff, Stephen E Kimmel

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in The American journal of medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04357288 (Randomized Evaluation of Decision Support Interventions for Atrial Fibrillation), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 16% 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.

NCT04357288 nacompletednot on this mapstarted 2020, after this paper: background citation

Randomized Evaluation of Decision Support Interventions for Atrial Fibrillation

TypeinterventionalSponsorUniversity of UtahRan2020 to 2024Enrolled1,117ConditionsAtrial FibrillationArmsPatient Decision Aid, Encounter Decision Aid
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 19 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.

Jonathan Sevilla-CazesPerelman School of Medicine at the University of Pennsylvania, Philadelphia.
Brian S FinklemanPerelman School of Medicine at the University of Pennsylvania, Philadelphia; Center for Clinical Epidemiology and Biostatistics, Philadelphia, Penn; Center for Therapeutic Effectiveness Research, Philadelphia, Penn.
Jinbo ChenPerelman School of Medicine at the University of Pennsylvania, Philadelphia; Center for Clinical Epidemiology and Biostatistics, Philadelphia, Penn.
Colleen M BrensingerPerelman School of Medicine at the University of Pennsylvania, Philadelphia; Center for Clinical Epidemiology and Biostatistics, Philadelphia, Penn.
Andrew E EpsteinPerelman School of Medicine at the University of Pennsylvania, Philadelphia; Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Penn.
Michael B StreiffJohns Hopkins University School of Medicine, Baltimore, Md.
Stephen E KimmelPerelman School of Medicine at the University of Pennsylvania, Philadelphia; Center for Clinical Epidemiology and Biostatistics, Philadelphia, Penn; Center for Therapeutic Effectiveness Research, Philadelphia, Penn. Electronic address: stevek@mail.med.upenn.edu.
University of Pennsylvania · USJohns Hopkins University · USPhiladelphia VA Medical Center · US

Funding

PREDICTORS OF ANTICOAGULATION CONTROL ON WARFARINR01HL066176 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI KIMMEL, STEPHEN E. · 2001 to 2012
$7.3M
NHLBI NIH HHS R01 HL066176
6 · The paper itself

Abstract

backgroundThe prevention of thromboembolism events remains challenging in cases of poor medication adherence. Unfortunately, clinical prediction of future adherence has been suboptimal. The objective of this study was to examine the correlation between 2 measures of real-time, self-reported adherence and anticoagulation control.

methodsThe IN-RANGE2 cohort recruited patients initiating warfarin therapy in 3 urban anticoagulation clinics. At each study visit, participants reported adherence using a 100-point visual analogue scale (VAS, marking percentage of pills taken since prior visit on a linear scale) and 7-day recall of pill-taking behavior. Anticoagulation control was measured by between-visit percent time in international normalized ratio range (BVTR), dichotomized at the cohort median. The longitudinal association between adherence and anticoagulation control was estimated using generalized estimating equations, controlling for clinical and demographic characteristics, prior BVTR, and warfarin dose changes.

resultsAmong 598 participants with 3204 (median 4) visits, the median BVTR was 36.8% (interquartile range 0%-73.9%). Participants reported ≤80% adherence in 182 visits (5.7%) and missed pills in the past 7 days in 377 visits (11.8%). Multivariable regression analysis found poorer anticoagulation control (BVTR <36.8%) in those with a VAS ≤80% (odds ratio 1.89; 95% confidence interval, 1.12-3.18; P = .02) and self-reported change in adherence since last visit (odds ratio 1.55; 95% confidence interval, 1.20-2.01; P = .001).

conclusionSelf-reported VAS medication adherence at a clinic visit and changes in reported adherence since the last visit are independently associated with BVTR. Clinicians may gain additional insight into patients' medication adherence by incorporating this information into patient management.

Indexed as

Drug MonitoringAmbulatory Care FacilitiesAnticoagulantsBlood CoagulationFemaleHumansInternational Normalized RatioMaleMiddle AgedMulticenter Studies as TopicProspective StudiesSelf ReportThromboembolismUrban Health ServicesVisual Analog ScaleWarfarinAnticoagulantsWarfarinAnticoagulationMedication adherenceSelf-reportVisual analogue scaleWarfarin

Identifiers

PMID28454906
PMCPMC5572106
OpenAlexW2609707893

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Registered trials

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.