Determinants of heart failure self-care behaviour in community-based patients

• Verfasst von: Peters-Klimm, Frank [VerfasserIn]
• Verfasst von: Freund, Tobias [VerfasserIn]
• Verfasst von: Kunz, Cornelia Ursula [VerfasserIn]
• Verfasst von: Laux, Gunter [VerfasserIn]
• Verfasst von: Frankenstein, Lutz [VerfasserIn]
• Verfasst von: Müller-Tasch, Thomas [VerfasserIn]
• Verfasst von: Szecsenyi, Joachim [VerfasserIn]
• Titel: Determinants of heart failure self-care behaviour in community-based patients
• Titelzusatz: a cross-sectional study
• Verf.angabe: F Peters-Klimm, T Freund, CU Kunz, G Laux, L Frankenstein, T Müller-Tasch, J Szecsenyi
• Jahr: 2013
• Jahr des Originals: 2012
• Umfang: 10 S.
• Teil: volume:12
• Teil: year:2013
• Teil: number:2
• Teil: pages:167-176
• Teil: extent:10
• Fussnoten: Article first published online: April 18, 2012 ; Gesehen am 09.08.2018
• Titel Quelle: Enthalten in: European journal of cardiovascular nursing
• Ort Quelle: Oxford : Oxford University Press, 2002
• Jahr Quelle: 2013
• Band/Heft Quelle: 12(2013), 2, Seite 167-176
• ISSN Quelle: 1873-1953
• DOI: doi:10.1177/1474515112439964
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1578414865

Abstract

Background:Self-care behaviour in patients with heart failure (HF) represents a series of specific actions that patients should take, as an important treatment component.Aims:The aim of this study was to identify potential determinants of HF self-care in ambulatory patients with stable systolic HF.Methods:In a cross-sectional study of 318 patients with chronic systolic HF recruited in 48 German primary care practices, we evaluated the patient-reported European HF Self-care Behaviour scale (EHFScBs) assessments (range 12?60, where lower scores indicate better self-care). Potential determinants included socio-demographic (e.g. age, living status), clinical (e.g. NYHA class, LVEF, NT-proBNP levels, co-morbidities), behavioural (e.g. smoking and alcohol intake), psychosocial (SF-36 scales and KCCQ domains, e.g. quality of life and self-efficacy) and depression status (PHQ-D), plus previous health care utilisation. Mixed regression modelling was applied.Results:Patients had a mean (SD) age of 69.0 (10.4) years and were 71% male. They had a good overall EHFScBs score of 24.7 (7.8) (n=274). In the final regression model (n=271), six determinants were retained (?; descriptive p-value): self-efficacy (-0.24; <.001), age (-0.22; <.001), prosthetic heart valve (-0.14; .01), referrals to cardiologists (-0.14; .02), peripheral arterial disease (0.13; .03) and quality of life (0.16; .02).Conclusion:In this exploratory cross-sectional study, the potential non-modifiable and modifiable risk factors and resources involved in patients? HF self-care were at the individual and organisational level. Self-efficacy and quality of life are potentially modifiable, so these could be targeted for improvement by enhancing patient motivation, HF education and further supporting a collaborative care approach.