Medication non-adherence after myocardial infarction: an exploration of modifying factors.
dc.contributor.author | Crowley, Matthew J | |
dc.contributor.author | Zullig, Leah L | |
dc.contributor.author | Shah, Bimal R | |
dc.contributor.author | Shaw, Ryan J | |
dc.contributor.author | Lindquist, Jennifer H | |
dc.contributor.author | Peterson, Eric D | |
dc.contributor.author | Bosworth, Hayden B | |
dc.date.accessioned | 2024-02-01T15:18:07Z | |
dc.date.available | 2024-02-01T15:18:07Z | |
dc.date.issued | 2015-01 | |
dc.description.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.PatientsThe 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 measuresBaseline 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. | |
dc.identifier.issn | 0884-8734 | |
dc.identifier.issn | 1525-1497 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Springer Science and Business Media LLC | |
dc.relation.ispartof | Journal of general internal medicine | |
dc.relation.isversionof | 10.1007/s11606-014-3072-x | |
dc.rights.uri | ||
dc.subject | Humans | |
dc.subject | Myocardial Infarction | |
dc.subject | Hypertension | |
dc.subject | Cardiovascular Agents | |
dc.subject | Self Administration | |
dc.subject | Risk Factors | |
dc.subject | Attitude to Health | |
dc.subject | Anxiety | |
dc.subject | Life Style | |
dc.subject | Age Factors | |
dc.subject | Comorbidity | |
dc.subject | Aged | |
dc.subject | Middle Aged | |
dc.subject | Female | |
dc.subject | Male | |
dc.subject | Stroke | |
dc.subject | Medication Adherence | |
dc.subject | Self Report | |
dc.title | Medication non-adherence after myocardial infarction: an exploration of modifying factors. | |
dc.type | Journal article | |
duke.contributor.orcid | Crowley, Matthew J|0000-0002-6205-4536 | |
duke.contributor.orcid | Zullig, Leah L|0000-0002-6638-409X | |
duke.contributor.orcid | Shaw, Ryan J|0000-0001-6800-6503 | |
duke.contributor.orcid | Peterson, Eric D|0000-0002-5415-4721 | |
duke.contributor.orcid | Bosworth, Hayden B|0000-0001-6188-9825 | |
pubs.begin-page | 83 | |
pubs.end-page | 90 | |
pubs.issue | 1 | |
pubs.organisational-group | Duke | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | School of Nursing | |
pubs.organisational-group | Faculty | |
pubs.organisational-group | Basic Science Departments | |
pubs.organisational-group | Clinical Science Departments | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Medicine | |
pubs.organisational-group | Psychiatry & Behavioral Sciences | |
pubs.organisational-group | Medicine, Cardiology | |
pubs.organisational-group | Medicine, Endocrinology, Metabolism, and Nutrition | |
pubs.organisational-group | Medicine, General Internal Medicine | |
pubs.organisational-group | Duke Cancer Institute | |
pubs.organisational-group | Duke Clinical Research Institute | |
pubs.organisational-group | Institutes and Provost's Academic Units | |
pubs.organisational-group | Center for the Study of Aging and Human Development | |
pubs.organisational-group | Initiatives | |
pubs.organisational-group | Duke Science & Society | |
pubs.organisational-group | Population Health Sciences | |
pubs.organisational-group | Duke Innovation & Entrepreneurship | |
pubs.organisational-group | Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences | |
pubs.organisational-group | Duke Center for Applied Genomics and Precision Medicine | |
pubs.organisational-group | Duke - Margolis Center For Health Policy | |
pubs.publication-status | Published | |
pubs.volume | 30 |