Factors affecting medication adherence trajectories for patients with heart failure

Area of Science:

• Cardiology
• Pharmacology
• Public Health

Background:

• Medication adherence is crucial for managing congestive heart failure (CHF).
• Understanding patient characteristics associated with adherence patterns is key to improving treatment efficacy.
• Previous studies have not fully elucidated the dynamic trajectories of medication adherence in CHF patients.

Purpose of the Study:

• To investigate the relationship between patient demographics and medication adherence trajectories in individuals with congestive heart failure (CHF).
• To identify specific patient characteristics linked to distinct patterns of medication adherence over time.

Main Methods:

• A historical prospective study utilizing secondary data from the Practice Variation and Care Outcomes (PRAVCO) study (2005-2010).
• Group-based trajectory modeling was employed to define medication adherence patterns for angiotensin-converting enzyme (ACE) inhibitors or angiotensin II receptor blockers (ARBs).
• Factors associated with belonging to specific adherence trajectory groups were analyzed in a cohort of 10,986 patients.

Main Results:

• Four distinct medication adherence trajectories were identified: low, increasing, decreasing, and high adherence.
• Patient characteristics significantly associated with trajectory group included age, region, education, smoking status, and race.
• Non-white patients were less likely to achieve high adherence. Smoking, higher body mass index, and increased Charlson Comorbidity Index scores were linked to lower adherence.

Conclusions:

• Specific population characteristics are associated with sustained low medication adherence in CHF patients.
• These findings can inform targeted interventions to improve adherence and enhance heart health outcomes.
• Identifying at-risk patient groups is essential for proactive management strategies in cardiovascular care.