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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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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 |
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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 |
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