Open AccessIdentifying cut‐off scores for interpretation of the Heart Failure Impact Questionnaire
Author(s) -
Hsu TsuiWen,
Chang HuiChin,
Huang ChiHung,
Chou MingChih,
Yu YouTsz,
Lin LongYau
Publication year - 2018
Publication title -
nursing open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.55
H-Index - 12
ISSN - 2054-1058
DOI - 10.1002/nop2.168
Subject(s) - quality of life (healthcare) , medicine , heart failure , logistic regression , gerontology , health related quality of life , sf 36 , physical therapy , environmental health , disease , nursing
Aims Heart failure (HF) influences health‐related quality of life. However, the factors that contribute to health‐related quality of life remain unclear in Taiwan. We aim to identify the factors influencing health‐related quality of life in HF patients. Methods Hospitalized HF ( N = 225) patients were included from April 2011 to April 2014. Health‐related quality of life was assessed by using the 36‐Item Short‐Form Health Survey (SF‐36) and the Minnesota Living with Heart Failure Questionnaire. A new cut‐off was conducted based on the combination of SF‐36 and Minnesota Living with Heart Failure questionnaire. Results There were significant differences between good and poor quality groups on age, gender, education levels, occupational classification caregiver, New York Heart Association classes, and the numbers of comorbidities. The logistic regression analysis showed that the number of comorbidities was more than three and New York Heart Association class IV were significantly associated with health‐related quality of life.