ArticleThe American journal of managed care2015
Factors affecting medication adherence trajectories for patients with heart failure.
Article in The American journal of managed care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Medication Adherence Trajectories: A Systematic Literature Review.Journal of managed care & specialty pharmacy · 2020Pooled it
- Patterns of Adherence and Persistence to Triple and Quadruple Guideline-Directed Medical Therapy Among US Patients With Heart Failure With Reduced Ejection Fraction.Journal of the American Heart Association · 2026Observational
- Medication non-adherence in patients with heart failure: A systematic review.Journal of education and health promotion · 2026Review
- Adherence to eHealth Interventions Among Patients With Heart Failure: Scoping Review.JMIR mHealth and uHealth · 2025Article
- Group-based trajectory modeling to identify longitudinal patterns and predictors of adherence among older adults on concomitant triple therapy (oral antidiabetic, renin-angiotensin-system antagonists, statins).Journal of managed care & specialty pharmacy · 2025Article
- Assessment of adherence to treatment recommendations among patients with heart failure: a cross-sectional study.BMC cardiovascular disorders · 2024Article
- High rifaximin out-of-pocket costs are associated with decreased treatment retention among patients with hepatic encephalopathy.Hepatology communications · 2023Article
- Medication Adherence and Its Influencing Factors among Patients with Heart Failure: A Cross Sectional Study.Medicina (Kaunas, Lithuania) · 2023Article
- Physical and occupational therapy utilization and associated factors among adults with cerebral palsy: Longitudinal modelling to capture distinct utilization groups.Disability and health journal · 2022Article
- Comparing Continuous and Binary Group-based Trajectory Modeling Using Statin Medication Adherence Data.Medical care · 2021Article
- Impact of Introducing the Pletaal Assist System on Drug Adherence in Outpatients with Ischaemic Stroke: A Pilot Study.Patient preference and adherence · 2021Article
- Medication adherence and survival among hospitalized heart failure patients in a tertiary hospital in Tanzania: a prospective cohort study.BMC research notes · 2020Article
- Group-Based Trajectory Modeling to Identify Patterns of Adherence and Its Predictors Among Older Adults on Angiotensin-Converting Enzyme Inhibitors (ACEIs)/Angiotensin Receptor Blockers (ARBs).Patient preference and adherence · 2020Article
- Medication Adherence to Antihypertensive Triple-Combination Therapy Among Patients Enrolled in a Medicare Advantage Plan.Journal of managed care & specialty pharmacy · 2019Article
- Using the Beta distribution in group-based trajectory models.BMC medical research methodology · 2018Article
- Dynamic patterns and predictors of hydroxychloroquine nonadherence among Medicaid beneficiaries with systemic lupus erythematosus.Seminars in arthritis and rheumatism · 2018Article
- Group-Based Trajectory Models: Assessing Adherence to Antihypertensive Medication in Older Adults in a Community Pharmacy Setting.Clinical pharmacology and therapeutics · 2018Article
- Examining Factors Associated With Nonadherence And Identifying Providers Caring For Nonadherent Subgroups.Journal of pharmaceutical health services research : an official journal of the Royal Pharmaceutical Society of Great Britain · 2017Article
- Engaging Gatekeeper-Stakeholders in Development of a Mobile Health Intervention to Improve Medication Adherence Among African American and Pacific Islander Elderly Patients With Hypertension.JMIR mHealth and uHealth · 2016Article
- Predicting adherence of patients with HF through machine learning techniques.Healthcare technology letters · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectivesTo examine the relationship between patient characteristics and medication adherence trajectories for patients with congestive heart failure (CHF). STUDY
designHistorical prospective study.
methodsWe conducted a secondary analysis of data assembled for the Practice Variation and Care Outcomes (PRAVCO) study, which examined patterns of cardiovascular care. We used group based trajectory modeling to define medication adherence trajectories, and then modeled factors associated with belonging to a trajectory group during the 6year period from 2005 to 2010 (n = 10,986). We focused on the use of angiotensin-converting enzyme (ACE) inhibitors or angiotensin II receptor blockers (ARBs) for secondary prevention of CHF.
resultsFour trajectory groups were optimal in characterizing adherence level patterns: 1) low adherence group, with an initial average adherence rate of 62% that dropped to between 40% and 50%; 2) increasing adherence group, with an initial average adherence rate of 55% that increased to 90%; 3) decreasing adherence group, with an initial average adherence rate above 90% that decreased to 60%; 4) high adherence group, with an average adherence rate consistently above 90%. Age, region, education, smoking, and race were all significantly associated with the likelihood of belonging to a particular trajectory. Nonwhites were less likely to be in the high adherence group, and smoking was more common in the low adherence group (22%) than in the high group (10%); increasing body mass index and Charlson Comorbidity Index (CCI) scores were also associated with being in the low adherence group.
conclusionsPopulation characteristics associated with sustained low adherence might be used to target interventions and improve vulnerable patients' prospects of heart health.
Indexed as
Identifiers
26014307PMC6358173What OpenQuestion holds
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.