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

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28 Scopus citations

Abstract

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: www.self-care-measures.com.

Original languageEnglish (US)
Pages (from-to)183-192
Number of pages10
JournalJournal of Cardiovascular Nursing
Volume34
Issue number2
DOIs
StatePublished - Mar 1 2019

All Science Journal Classification (ASJC) codes

  • Cardiology and Cardiovascular Medicine
  • Advanced and Specialized Nursing

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