Cargando…

Identifying cut‐off scores for interpretation of the Heart Failure Impact Questionnaire

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 w...

Descripción completa

Detalles Bibliográficos
Autores principales: Hsu, Tsui‐Wen, Chang, Hui‐Chin, Huang, Chi‐Hung, Chou, Ming‐Chih, Yu, You‐Tsz, Lin, Long‐Yau
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177553/
https://www.ncbi.nlm.nih.gov/pubmed/30338103
http://dx.doi.org/10.1002/nop2.168
_version_ 1783361882159054848
author Hsu, Tsui‐Wen
Chang, Hui‐Chin
Huang, Chi‐Hung
Chou, Ming‐Chih
Yu, You‐Tsz
Lin, Long‐Yau
author_facet Hsu, Tsui‐Wen
Chang, Hui‐Chin
Huang, Chi‐Hung
Chou, Ming‐Chih
Yu, You‐Tsz
Lin, Long‐Yau
author_sort Hsu, Tsui‐Wen
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6177553
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-61775532018-10-18 Identifying cut‐off scores for interpretation of the Heart Failure Impact Questionnaire Hsu, Tsui‐Wen Chang, Hui‐Chin Huang, Chi‐Hung Chou, Ming‐Chih Yu, You‐Tsz Lin, Long‐Yau Nurs Open Research Articles 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. John Wiley and Sons Inc. 2018-07-16 /pmc/articles/PMC6177553/ /pubmed/30338103 http://dx.doi.org/10.1002/nop2.168 Text en © 2018 The Authors. Nursing Open published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Hsu, Tsui‐Wen
Chang, Hui‐Chin
Huang, Chi‐Hung
Chou, Ming‐Chih
Yu, You‐Tsz
Lin, Long‐Yau
Identifying cut‐off scores for interpretation of the Heart Failure Impact Questionnaire
title Identifying cut‐off scores for interpretation of the Heart Failure Impact Questionnaire
title_full Identifying cut‐off scores for interpretation of the Heart Failure Impact Questionnaire
title_fullStr Identifying cut‐off scores for interpretation of the Heart Failure Impact Questionnaire
title_full_unstemmed Identifying cut‐off scores for interpretation of the Heart Failure Impact Questionnaire
title_short Identifying cut‐off scores for interpretation of the Heart Failure Impact Questionnaire
title_sort identifying cut‐off scores for interpretation of the heart failure impact questionnaire
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177553/
https://www.ncbi.nlm.nih.gov/pubmed/30338103
http://dx.doi.org/10.1002/nop2.168
work_keys_str_mv AT hsutsuiwen identifyingcutoffscoresforinterpretationoftheheartfailureimpactquestionnaire
AT changhuichin identifyingcutoffscoresforinterpretationoftheheartfailureimpactquestionnaire
AT huangchihung identifyingcutoffscoresforinterpretationoftheheartfailureimpactquestionnaire
AT choumingchih identifyingcutoffscoresforinterpretationoftheheartfailureimpactquestionnaire
AT yuyoutsz identifyingcutoffscoresforinterpretationoftheheartfailureimpactquestionnaire
AT linlongyau identifyingcutoffscoresforinterpretationoftheheartfailureimpactquestionnaire