Literature DB >> 24332142

Untangling the relationship between medication adherence and post-myocardial infarction outcomes: medication adherence and clinical outcomes.

Niteesh K Choudhry1, Robert J Glynn2, Jerry Avorn3, Joy L Lee3, Troyen A Brennan4, Lonny Reisman5, Michele Toscano5, Raisa Levin3, Olga S Matlin4, Elliott M Antman6, William H Shrank3.   

Abstract

BACKGROUND: Patients who adhere to medications experience better outcomes than their nonadherent counterparts. However, these observations may be confounded by patient behaviors. The level of adherence necessary for patients to derive benefit and whether adherence to all agents is important for diseases that require multiple drugs remain unclear. This study quantifies the relationship between medication adherence and post-myocardial infarction (MI) adverse coronary events.
METHODS: This is a secondary analysis of the randomized MI FREEE trial. Patients who received full prescription coverage were classified as adherent (proportion of days covered ≥80%) or not based upon achieved adherence in the 6 months after randomization. First major vascular event or revascularization rates were compared using multivariable Cox models adjusting for comorbidity and health-seeking behavior.
RESULTS: Compared with patients randomized to usual care, full coverage patients adherent to statin, β-blocker, or angiotensin-converting enzyme inhibitor/angiotensin receptor blocker were significantly less likely to experience the study's primary outcome (hazard ratio [HR] range 0.64-0.81). In contrast, nonadherent patients derived no benefit (HR range 0.98-1.04, P ≤ .01 for the difference in HRs between adherent and nonadherent patients). Partially adherent patients had no reduction in clinical outcomes for any of the drugs evaluated, although their achieved adherence was higher than that among controls.
CONCLUSION: Achieving high levels of adherence to each and all guideline-recommended post-MI secondary prevention medication is associated with improved event-free survival. Lower levels of adherence appear less protective.
© 2014.

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Year:  2013        PMID: 24332142     DOI: 10.1016/j.ahj.2013.09.014

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  55 in total

1.  Observing versus Predicting: Initial Patterns of Filling Predict Long-Term Adherence More Accurately Than High-Dimensional Modeling Techniques.

Authors:  Jessica M Franklin; William H Shrank; Joyce Lii; Alexis K Krumme; Olga S Matlin; Troyen A Brennan; Niteesh K Choudhry
Journal:  Health Serv Res       Date:  2015-04-16       Impact factor: 3.402

2.  Predictors of first-year nonadherence and discontinuation of statins among older adults: a retrospective cohort study.

Authors:  Richard Ofori-Asenso; Jenni Ilomäki; Mark Tacey; Si Si; Andrea J Curtis; Ella Zomer; J Simon Bell; Sophia Zoungas; Danny Liew
Journal:  Br J Clin Pharmacol       Date:  2018-11-08       Impact factor: 4.335

3.  Quantifying Social Reinforcement Among Family Members on Adherence to Medications for Chronic Conditions: a US-Based Retrospective Cohort Study.

Authors:  Julie C Lauffenburger; Nazleen F Khan; Gregory Brill; Niteesh K Choudhry
Journal:  J Gen Intern Med       Date:  2018-11-07       Impact factor: 5.128

4.  Adherence and healthcare utilization among older adults with COPD and depression.

Authors:  Jennifer S Albrecht; Bilal Khokhar; Ting-Ying Huang; Yu-Jung Wei; Ilene Harris; Patience Moyo; Peter Hur; Susan W Lehmann; Giora Netzer; Linda Simoni-Wastila
Journal:  Respir Med       Date:  2017-06-03       Impact factor: 3.415

5.  Value-Based Insurance Design: Aligning Incentives to Improve Cardiovascular Care.

Authors:  Eric C Stecker; John Z Ayanian; A Mark Fendrick
Journal:  Circulation       Date:  2015-10-20       Impact factor: 29.690

Review 6.  The current state of ethnic and racial disparities in cardiovascular care: lessons from the past and opportunities for the future.

Authors:  Jennifer Lewey; Niteesh K Choudhry
Journal:  Curr Cardiol Rep       Date:  2014       Impact factor: 2.931

7.  Using Adherence Information to Improve Care: From Clinic Visits to Populations.

Authors:  John F Steiner
Journal:  J Gen Intern Med       Date:  2016-11       Impact factor: 5.128

8.  Medication adherence in secondary prevention post-myocardial infarction.

Authors:  Javier A Valle; P Michael Ho
Journal:  Curr Treat Options Cardiovasc Med       Date:  2014-12

9.  Association Between Poorer Cognitive Function and Reduced Objectively Monitored Medication Adherence in Patients With Heart Failure.

Authors:  Mary A Dolansky; Misty A W Hawkins; Julie T Schaefer; Abdus Sattar; John Gunstad; Joseph D Redle; Richard Josephson; Shirley M Moore; Joel W Hughes
Journal:  Circ Heart Fail       Date:  2016-12       Impact factor: 8.790

10.  Using machine learning to examine medication adherence thresholds and risk of hospitalization.

Authors:  Wei-Hsuan Lo-Ciganic; Julie M Donohue; Joshua M Thorpe; Subashan Perera; Carolyn T Thorpe; Zachary A Marcum; Walid F Gellad
Journal:  Med Care       Date:  2015-08       Impact factor: 2.983

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