Psychometric Testing of the Revised Self-Care of Heart Failure Index

Barbara Riegel, Claudio Barbaranelli, Beverly Carlson, Kristen A. Sethares, Marguerite Daus, Debra K. Moser, Jennifer Miller, Onome Henry Osokpo, Solim Lee, Stacey Brown, Ercole Vellone

Research output: Contribution to journalArticlepeer-review

61 Scopus citations


Background: Self-care is essential in people with chronic heart failure (HF). The process of self-care was refined in the revised situation specific theory of HF self-care, so we updated the instrument measuring self-care to match the updated theory. The aim of this study was to test the psychometric properties of the revised 29-item Self-Care of Heart Failure Index (SCHFI). Methods: A cross-sectional design was used in the primary psychometric analysis using data collected at 5 sites in the United States. A longitudinal design was used at the site collecting test-retest data. We tested SCHFI validity with confirmatory factor analysis and predictive validity in relation to health-related quality of life. We tested SCHFI reliability with Cronbach α, global reliability index, and test-retest reliability. Results: Participants included 631 adults with HF (mean age, 65 ± 14.3 years; 63% male). A series of confirmatory factor analyses supported the factorial structure of the SCHFI with 3 scales: Self-Care Maintenance (with consulting behavior and dietary behavior dimensions), Symptom Perception (with monitoring behavior and symptom recognition dimensions), and Self-Care Management (with recommended behavior and problem-solving behavior dimensions). Reliability estimates were 0.70 or greater for all scales. Predictive validity was supportive with significant correlations between SCHFI scores and health-related quality-of-life scores. Conclusions: Our analysis supports validity and reliability of the SCHFI v7.2. It is freely available to users on the website:

Original languageEnglish (US)
Pages (from-to)183-192
Number of pages10
JournalJournal of Cardiovascular Nursing
Issue number2
StatePublished - Mar 1 2019

All Science Journal Classification (ASJC) codes

  • General Medicine


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