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Electronically monitored medication adherence predicts hospitalization in heart failure patients
Barbara Riegel1, George J Knafl2
1University of Pennsylvania School of Nursing, Philadelphia, PA, USA ; University of Pennsylvania Leonard Davis Institute, Philadelphia, PA, USA.
Medication adherence is a key predictor of heart failure hospitalization. Poor adherence, alongside factors like low hemoglobin and ejection fraction, significantly increases hospitalization risk within six months.
Area of Science:
- Cardiology
- Pharmacology
- Health Services Research
Background:
- Heart failure hospitalizations represent a significant financial burden on healthcare systems.
- Existing models for predicting heart failure hospitalizations have limited effectiveness, indicating a need for novel risk factors.
Purpose of the Study:
- To evaluate medication adherence, objectively measured using the Medication Event Monitoring System, as a predictor of hospitalization in heart failure patients.
Main Methods:
- Employed adaptive modeling techniques to analyze medication adherence patterns in heart failure patients.
- Tested the hypothesis that poor medication adherence predicts hospitalization within a six-month period.
Main Results:
- Medication adherence emerged as the strongest predictor of hospitalization.
- Factors including adherence patterns, low hemoglobin, reduced ejection fraction, NYHA class IV, and polypharmacy predicted hospitalization.
- Seven interactions, such as adherence and cognitive function, or comorbidities and medication count, significantly improved predictive accuracy (C-index=0.83).
Conclusions:
- Medication adherence provides crucial new insights into predicting heart failure hospitalizations.
- Incorporating adherence data enhances existing predictive models for heart failure patients.
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