Evidence map›Paper›PMID 31771756›Full record

Trial reportThe American journal of cardiology2020

Prevalence and Impact of Having Multiple Barriers to Medication Adherence in Nonadherent Patients With Poorly Controlled Cardiometabolic Disease.

Julie C Lauffenburger, Thomas Isaac, Romit Bhattacharya, Thomas D Sequist, Chandrasekar Gopalakrishnan, Niteesh K Choudhry

Open access · greenAbstract readMulticenter StudyPragmatic Clinical Trial
In one paragraph

Trial report in The American journal of cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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  10. Instituting a Successful Discharge Plan for Patients With Type 2 Diabetes: Challenges and Solutions.Diabetes spectrum : a publication of the American Diabetes Association · 2022
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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 at 2 institutions in 1 country.

Julie C LauffenburgerDepartment of Medicine, Center for Healthcare Delivery Sciences (C4HDS), Brigham and Women's Hospital (BWH) and Harvard Medical School, Boston, Massachusetts; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. Electronic address: jlauffenburger@bwh.harvard.edu.
Thomas IsaacAtrius Health, Newton, Massachusetts.
Romit BhattacharyaDepartment of Cardiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Thomas D SequistDivision of General Internal Medicine, Department of Health Care Policy, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Chandrasekar GopalakrishnanDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Niteesh K ChoudhryDepartment of Medicine, Center for Healthcare Delivery Sciences (C4HDS), Brigham and Women's Hospital (BWH) and Harvard Medical School, Boston, Massachusetts; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Brigham and Women's Hospital · USHarvard University · US

Funding

Interactive Tele-Pharmacy to Improve Chronic Medication AdherenceR01HL117918 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHOUDHRY, NITEESH K, SEQUIST, THOMAS D · 2014 to 2017
$2.8M
Development of a novel medication adherability tool to improve cardiovascular disease managementK01HL141538 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LAUFFENBURGER, JULIE CHRISTINE · 2018 to 2022
$718k
NHLBI NIH HHS K01 HL141538NHLBI NIH HHS R01 HL117918
6 · The paper itself

Abstract

Adherence to medications remains poor despite numerous efforts to identify and intervene upon nonadherence. One potential explanation is the limited focus of many interventions on one barrier. Little is known about the prevalence and impact of having multiple barriers in contemporary practice. Our objective was to quantify adherence barriers for patients with poorly controlled cardiometabolic condition, identify patient characteristics associated with having multiple barriers, and determine its impact on adherence. We used a linked electronic health records and insurer claims dataset from a large health system from a recent pragmatic trial. Barriers to medication taking before the start of the intervention were elicited by clinical pharmacists using structured interviews. We used multivariable modified Poisson regression models to examine the association between patient factors and multiple barriers and multivariable linear regression to evaluate the relation between multiple barriers and claims-based adherence. Of the 1,069 patients (mean: 61 years of age) in this study, 25.1% had multiple barriers to adherence; the most common co-occurring barriers were forgetfulness and health beliefs (31%, n = 268). Patients with multiple barriers were more likely to be non-white (relative risk [RR] 1.57, 95% confidence interval [CI] 1.21 to 1.74), be single/unpartnered (RR 1.36, 95% CI 1.06 to 1.74), use tobacco (RR 1.54, 95% CI 1.13 to 2.11), and have poor glycemic control (RR 1.77, 95% CI 1.31 to 2.39) versus those with 0 or 1 barrier. Each additional barrier worsened average adherence by 3.1% (95% CI -4.6%, -1.5%). In conclusion, >25% of nonadherent patients present with multiple barriers to optimal use, leading to meaningful differences in adherence. These findings should inform quality improvement interventions aimed at nonadherence.

Indexed as

Medication AdherenceCardiovascular AgentsCardiovascular DiseasesFemaleFollow-Up StudiesHumansMaleMiddle AgedPrevalenceRetrospective StudiesSurveys and QuestionnairesCardiovascular Agents

Identifiers

PMID31771756
PMCPMC6957723
OpenAlexW2986340903

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.