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Advancing the Science of Self‐Management in Adults With Long‐Term Left Ventricular Assist Devices.

Authors :
Casida, Jesus
Aikens, James
Pagani, Francis
Ewald, Gregory
Craddock, Heidi
Pavol, Marykay
Schroeder, Sarah
Yang, James
Source :
Artificial Organs; Nov2018, Vol. 42 Issue 11, p1095-1103, 9p
Publication Year :
2018

Abstract

This study tested the applicability of the individual and family self‐management theory (IFSMT) to self‐management (SM) in patients with left ventricular assist devices (LVADs). From an existing data set, we extracted the following variables that correspond to IFSMT's conceptual dimensions: anxiety, depression, and cognition (context dimension); self‐efficacy (SM process dimension); adherence and quality of life (QOL; outcome dimensions). Descriptive statistics and partial least squares path modeling procedures were used for data analyses. A total of 100 patients (mean age 52 ± 13.4 years) with continuous flow LVAD designs comprised the present study. Most patients were White (78%), married (69%), college‐educated (72%), and on disability (53%). Their mean anxiety and depression scores were slightly above normal, while their cognitive function scores were slightly lower than normal. LVAD care self‐efficacy, adherence, and QOL were within normal ranges. Factor loadings ranged from 0.50 to 1.0, and there were significant forward path relationships among the context, process, and outcome dimensions (β ranges from 0.02 to 0.60, all P values < 0.05). In conclusion, the IFSMT provides a good fit for SM in LVAD. Further research is needed to clarify how best to improve LVAD SM practice and treatment outcomes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0160564X
Volume :
42
Issue :
11
Database :
Complementary Index
Journal :
Artificial Organs
Publication Type :
Academic Journal
Accession number :
133218765
Full Text :
https://doi.org/10.1111/aor.13113