Evidence map›Paper›PMID 34242664›Full record

ArticlePreventive medicine2021

Prevalence and predictors of cost-related medication nonadherence in individuals with cardiovascular disease: Results from the Behavioral Risk Factor Surveillance System (BRFSS) survey.

Riyad Kherallah, Mahmoud Al Rifai, Ishan Kamat, Chayakrit Krittanawong, Dhruv Mahtta, Michelle T Lee, Jing Liu, Khurram Nasir, Javier Valero-Elizondo, Jaideep Patel and 3 more

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

8 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

13 authors at 3 institutions in 1 country.

Riyad KherallahDepartment of Medicine, Baylor College of Medicine, Houston, TX, United States of America.
Mahmoud Al RifaiSection of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States of America.
Ishan KamatDepartment of Medicine, Baylor College of Medicine, Houston, TX, United States of America.
Chayakrit KrittanawongSection of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States of America.
Dhruv MahttaSection of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States of America.
Michelle T LeeHealth Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, TX, United States of America.
Jing LiuSection of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States of America.
Khurram NasirCenter for Outcomes Research, Houston Methodist Research Institute, Houston, TX, United States of America.
Javier Valero-ElizondoCenter for Outcomes Research, Houston Methodist Research Institute, Houston, TX, United States of America.
Jaideep PatelHeart Center, Division of Cardiology, Virginia Commonwealth University Medical Center, Richmond, VA, United States of America.
Mouaz H Al-MallahHouston Methodist DeBakey Heart & Vascular Center, Houston, TX, United States of America.
Laura A PetersenHealth Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, TX, United States of America; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, United States of America.
Salim S ViraniSection of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States of America; Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, TX, United States of America; Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, United States of America; Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, United States of America. Electronic address: virani@bcm.edu.
Baylor College of Medicine · USHouston Methodist · USHealth Services Research & Development · US

Funding

Research Training Program in Cardiovascular SurgeryT32HL139430 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI Todd K Rosengart · 2018 to 2026
$2.9M
NHLBI NIH HHS T32 HL139430
6 · The paper itself

Abstract

Medication nonadherence is highly prevalent among patients with chronic cardiovascular disease. Poor adherence has been associated with increased morbidity and mortality. Medication cost is a major driver for medication nonadherence. Utilizing data from the 2016 to 2018 Behavioral Risk Factor Surveillance System (BRFSS) survey, we estimated the prevalence of cost-related medication nonadherence (CRMNA) among the overall population and among individuals who reported a history of diabetes, atherosclerotic cardiovascular disease (ASCVD), or hypertension. We then performed multivariable logistic regression to analyze sociodemographic factors associated with CRMNA. Our study population consisted of 142,577 individuals of whom 24% were older than 65 years, 47% were men, 66% were White, 17% Black, 35% had hypertension, 13% had diabetes mellitus, and 10% had ASCVD. CRMNA was reported in 10% of the overall population, 12% among those with hypertension, 17% among those with diabetes, and 17% among those with ASCVD. Age below 65 years, female gender, unemployment, lower income, lower educational attainment, having at least 1 comorbidity, and living in a state that did not expand Medicaid were independently associated with CRMNA. The prevalence of CRMNA increased with greater number of these high-risk sociodemographic factors. We conclude that the prevalence of CRMNA is 10% among U.S. adults overall and is higher among those with common chronic diseases. Risk factors associated with CRMNA should be addressed in order to improve adherence rates and health outcomes among high-risk individuals.

Indexed as

Cardiovascular DiseasesAdultAgedBehavioral Risk Factor Surveillance SystemFemaleHumansMaleMedicaidMedication AdherencePrevalenceUnited StatesCardiovascular diseaseHealthcare costHealth disparityMedication nonadherence

Identifiers

PMID34242664
PMCPMC9125503
OpenAlexW3177811150

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.