Evaluating a New Short Self-Management Tool in Heart Failure Against the Traditional Flinders Program.

Area of Science:

• Cardiology
• Chronic Disease Management
• Health Informatics

Background:

• Heart failure (HF) management is complex, requiring multidisciplinary care.
• Current chronic disease self-management (CDSM) programs lack evidence for reducing readmissions and major adverse cardiovascular events (MACE).
• Existing CDSM tools are often not user-friendly for vulnerable HF patients.

Purpose of the Study:

• To evaluate a simplified one-page CDSM tool, SCRinHF, against a comprehensive program.
• To assess SCRinHF's ability to triage self-management capabilities in HF patients.
• To determine SCRinHF's predictive accuracy for hospital readmission and MACE.

Main Methods:

• Prospective, observational SELFMAN-HF study in community cardiology.
• Recruited 117 HF patients (LVEF <40%) initiated on SGLT2 inhibitors.
• Assessed CDSM using long-form (LF) and short-form (SF) tools; estimated concordance.

Main Results:

• The SF tool identified significant numbers of poor self-managers (35/117) comparable to the LF tool (38/117).
• Concordance between SF and LF tools was significant for predicting readmission (p=0.01) and MACE in poor self-managers.
• Concurrent and predictive validity showed significant correlations between SF and LF scores for self-management abilities.

Conclusions:

• Simplifying CDSM scoring with an SF tool is justifiable for clinical translation, especially for vulnerable HF populations.
• The SF tool effectively predicts poor self-management capabilities and readmission risk.
• Further research is needed to understand the complex correlations of SF to LF scores for all patient skill levels and MACE prediction.