Literature DB >> 26805497

[Symptom Management to Predict Quality of Life in Patients with Heart Failure: A Structural Equation Modeling Approach].

Ja Ok Lee1, Rhayun Song2.   

Abstract

PURPOSE: The focus of this study was on symptom management to predict quality of life among individuals with heart failure. The theoretical model was constructed based on situation-specific theory of heart failure self-care and literature review.
METHODS: For participants, 241 outpatients at a university hospital were invited to the study from May 19 to July 30, 2014. Data were collected with structured questionnaires and analyzed using SPSSWIN and AMOS 20.0.
RESULTS: The goodness of fit index for the hypothetical model was .93, incremental fit index, .90, and comparative fit index, .90. As the outcomes satisfied the recommended level, the hypothetical model appeared to fit the data. Seven of the eight hypotheses selected for the hypothetical model were statistically significant. The predictors of symptom management, symptom management confidence and social support together explained 32% of the variance in quality of life. The 28% of variance in symptom management was explained by symptom recognition, heart failure knowledge and symptom management confidence. The 4% of variance in symptom management confidence was explained by social support.
CONCLUSION: The hypothetical model of this study was confirmed to be adequate in explaining and predicting quality of life among patients with heart failure through symptom management. Effective strategies to improve quality of life among patients with heart failure should focus on symptom management. Symptom management can be enhanced by providing educational programs, encouraging social support and confidence, consequently improving quality of life among this population.

Entities:  

Keywords:  Heart failure; Management; Quality of life; Symptom

Mesh:

Year:  2015        PMID: 26805497     DOI: 10.4040/jkan.2015.45.6.846

Source DB:  PubMed          Journal:  J Korean Acad Nurs        ISSN: 2005-3673            Impact factor:   0.984


  2 in total

1.  Gene expression and levels of IL-6 and TNFα in PBMCs correlate with severity and functional class in patients with chronic heart failure.

Authors:  V Eskandari; A A Amirzargar; M J Mahmoudi; Z Rahnemoon; F Rahmani; S Sadati; Z Rahmati; F Gorzin; M Hedayat; N Rezaei
Journal:  Ir J Med Sci       Date:  2017-09-09       Impact factor: 1.568

2.  Association Between Symptoms of Patients With Heart Failure and Patient Outcomes Based on Electronic Nursing Records.

Authors:  Seung Yeon Baik; Gi Wook Ryu; Hyangkyu Lee; Siwook Lee; Mona Choi
Journal:  Comput Inform Nurs       Date:  2021-05-25       Impact factor: 1.985

  2 in total

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