Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014 Jul 17:8:1007-18.
doi: 10.2147/PPA.S64593. eCollection 2014.

What puts heart failure patients at risk for poor medication adherence?

Affiliations

What puts heart failure patients at risk for poor medication adherence?

George J Knafl et al. Patient Prefer Adherence. .

Abstract

Background: Medication nonadherence is a major cause of hospitalization in patients with heart failure (HF), which contributes enormously to health care costs. We previously found, using the World Health Organization adherence dimensions, that condition and patient level factors predicted nonadherence in HF. In this study, we assessed a wider variety of condition and patient factors and interactions to improve our ability to identify those at risk for hospitalization.

Materials and methods: Medication adherence was measured electronically over the course of 6 months, using the Medication Event Monitoring System (MEMS). A total of 242 HF patients completed the study, and usable MEMS data were available for 218 (90.1%). Participants were primarily white (68.3%), male (64.2%), and retired (44.5%). Education ranged from 8-29 years (mean, 14.0 years; standard deviation, 2.9 years). Ages ranged from 30-89 years (mean, 62.8 years; standard deviation, 11.6 years). Analyses used adaptive methods based on heuristic searches controlled by cross-validation scores. First, individual patient adherence patterns over time were used to categorize patients in poor versus better adherence types. Then, risk factors for poor adherence were identified. Finally, an effective model for predicting poor adherence was identified based on identified risk factors and possible pairwise interactions between them.

Results: A total of 63 (28.9%) patients had poor adherence. Three interaction risk factors for poor adherence were identified: a higher number of comorbid conditions with a higher total number of daily medicines, older age with poorer global sleep quality, and fewer months since diagnosis of HF with poorer global sleep quality. Patients had between zero and three risk factors. The odds for poor adherence increased by 2.6 times with a unit increase in the number of risk factors (odds ratio, 2.62; 95% confidence interval, 1.78-3.86; P<0.001).

Conclusion: Newly diagnosed, older HF patients with comorbid conditions, polypharmacy, and poor sleep are at risk for poor medication adherence. Interventions addressing these specific barriers are needed.

Keywords: heart failure; medication adherence; multiple chronic conditions; risk factors; self-care; sleep quality.

PubMed Disclaimer

Similar articles

Cited by

References

    1. Go AS, Mozaffarian D, Roger VL, et al. American Heart Association Statistics Committee and Stroke Statistics Subcommittee Heart disease and stroke statistics – 2013 update: a report from the American Heart Association. Circulation. 2013;127(1):e6–e245. - PMC - PubMed
    1. Herr JK, Salyer J, Lyon DE, Goodloe L, Schubert C, Clement DG. Heart Failure Symptom Relationships: A Systematic Review. J Cardiovasc Nurs. 2013 Jul 8; Epub. - PubMed
    1. Krumholz HM, Merrill AR, Schone EM, et al. Patterns of hospital performance in acute myocardial infarction and heart failure 30-day mortality and readmission. Circ Cardiovasc Qual Outcomes. 2009;2(5):407–413. - PubMed
    1. Heidenreich PA, Albert NM, Allen LA, et al. American Heart Association Advocacy Coordinating Committee. Council on Arteriosclerosis, Thrombosis and Vascular Biology. Council on Cardiovascular Radiology and Intervention. Council on Clinical Cardiology. Council on Epidemiology and Prevention. Stroke Council Forecasting the impact of heart failure in the United States: a policy statement from the American Heart Association. Circ Heart Fail. 2013;6(3):606–619. - PMC - PubMed
    1. Andrews RM, Elixhauser A. The national hospital bill: growth trends and 2005 update on the most expensive conditions by payer. Rockville, MD: Agency for Healthcare Research and Quality; 2007. [Accessed April 18, 2014]. Available from: http://www.hcup-us.ahrq.gov/reports/statbriefs/sb42.pdf. - PubMed