Evidence map›Paper›PMID 25361685›Full record

Trial reportJournal of general internal medicine2015

Medication non-adherence after myocardial infarction: an exploration of modifying factors.

Matthew J Crowley, Leah L Zullig, Bimal R Shah, Ryan J Shaw, Jennifer H Lindquist, Eric D Peterson, Hayden B Bosworth

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of general internal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 14% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

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  18. Illness Perceptions and Medication Nonadherence to Immunosuppressants After Successful Kidney Transplantation: A Cross-Sectional Study.Transplant international : official journal of the European Society for Organ Transplantation · 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

7 authors at 2 institutions in 1 country.

Matthew J CrowleyCenter for Health Services Research in Primary Care, Durham VA Medical Center, HSR&D (152), 508 Fulton Street, Durham, NC, 27705, USA, matthew.crowley@dm.duke.edu.
Leah L Zullig
Bimal R Shah
Ryan J Shaw
Jennifer H Lindquist
Eric D Peterson
Hayden B Bosworth
Duke University · USDurham VA Medical Center · US

Funding

Using Data to Drive Change in National CV Care: The Duke CERTSU19HS021092 · AHRQ · DUKE UNIVERSITY · PI PETERSON, ERIC DAVID · 2011 to 2015
$4.2M
AHRQ HHS U19 HS021092HSRD VA CDA 13-025
6 · The paper itself

Abstract

backgroundMedication non-adherence is a major impediment to the management of cardiovascular disease risk factors. A better understanding of the modifying factors underlying medication non-adherence among individuals with known cardiovascular disease may inform approaches for addressing non-adherence.

objectiveThe purpose of this study was to identify demographic and patient characteristics, medical comorbidities, psychosocial factors, and health belief-related factors associated with medication non-adherence among patients with known cardiovascular disease.

designWe performed secondary analysis of baseline data from a randomized trial. PATIENTS: The study included 405 patients with a diagnosis of hypertension and history of acute myocardial infarction that was diagnosed within a three-year period prior to enrollment. MAIN MEASURES: Baseline demographics and patient characteristics, medical comorbidities, psychosocial factors, health belief-related factors, and patient-reported medication non-adherence were analyzed. KEY

resultsOf 405 patients, 173 (42.7 %) reported medication non-adherence. Factors associated with non-adherence in bivariate analysis included younger age, non-white race, having less than 12 years of education, smoking, financial insecurity, identifying as nervous or tense, higher life chaos score, greater worry about having a myocardial infarction, and greater worry about having a stroke. Using multivariable modeling, we determined that age (OR 0.97 per additional year, 95 % CI, 0.95-0.99), life chaos (OR 1.06 per additional point, 95 % CI, 1.00-1.11), and worry about stroke (OR 1.12 per additional point, 95 % CI, 1.01-1.25) remained significantly associated with self-reported medication non-adherence.

conclusionsWe found that worry about having a stroke, higher life chaos, and younger age were all significantly associated with self-reported medication non-adherence in patients with cardiovascular disease and a history of myocardial infarction. Further research exploring these factors as targets for intervention is needed, as is additional research examining modifiable causes of medication non-adherence among patients with cardiovascular disease.

Indexed as

AgedAge FactorsAnxietyAttitude to HealthCardiovascular AgentsComorbidityDrug MonitoringFemaleHumansHypertensionLife StyleMaleMedication AdherenceMiddle AgedMyocardial InfarctionRisk FactorsCardiovascular Agents

Identifiers

PMID25361685
PMCPMC4284283
OpenAlexW2064948608

What OpenQuestion holds

Textmetadata
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.