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Development and testing of the hemodialysis symptom distress scale (HSD-22) to identify the symptom cluster by using exploratory factor analysis

BACKGROUND: Patients receiving hemodialysis (HD) often experience multiple symptoms concurrently and these symptoms may impact their quality of life. A valid and reliable tool is needed to assess the symptom distress of patients receiving HD in terms of the perspective of symptom clusters. Although...

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Autores principales: Chen, Mei-Chu, Ho, Ya-Fang, Lin, Chiu-Chu, Wu, Chia-Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042879/
https://www.ncbi.nlm.nih.gov/pubmed/33845793
http://dx.doi.org/10.1186/s12882-021-02337-7
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author Chen, Mei-Chu
Ho, Ya-Fang
Lin, Chiu-Chu
Wu, Chia-Chen
author_facet Chen, Mei-Chu
Ho, Ya-Fang
Lin, Chiu-Chu
Wu, Chia-Chen
author_sort Chen, Mei-Chu
collection PubMed
description BACKGROUND: Patients receiving hemodialysis (HD) often experience multiple symptoms concurrently and these symptoms may impact their quality of life. A valid and reliable tool is needed to assess the symptom distress of patients receiving HD in terms of the perspective of symptom clusters. Although many studies have explored symptom clusters related to patients receiving HD, the clusters formed had problems with overlapping, vagueness, lack of cluster-specificity, and difficulty in discerning their common mechanism under the cluster. AIMS: To develop reliable measurement tool to identify the symptom clusters of patients undergoing HD. DESIGN: A cross-sectional descriptive study. METHODS: To examine the physiological properties of the HD symptom distress (HSD) scale, 216 participants were recruited from a HD center of a medical university hospital in southern Taiwan from February 2019 to April 2019. Construct validity was evaluated by exploratory factor analysis (EFA), and the internal consistency and test–retest reliability were estimated by Cronbach’s alpha and intraclass correlation coefficient (ICC). RESULTS: The CVI value of the HSD was 0.89. The HSD scale was composed of five factors with 22 items, including insufficient energy/vitality, cardiac–pulmonary distress, sleep disturbance, musculoskeletal distress, and gastrointestinal distress, with factor loading ranging from 0.62 to 0.87, explaining 65.5% of the total variance. Cronbach’s alpha coefficient of the HSD total scale was 0.93, and five subscales ranged from 0.73 to 0.89. The test-retest reliability was 0.92 (p < 0.001) by using the intraclass correlation coefficient (ICC) for the HSD-22 scale. CONCLUSION / IMPLICATION: Theoretical testing from our study indicated that the HSD-22 scale had satisfactory validity and reliability. Therefore, this assessment tool can be employed to identify the symptom clusters of patients receiving HD in the clinical setting. Such identification enables healthcare professionals to provide interventions to release patients’ symptom distress efficiently. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-021-02337-7.
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spelling pubmed-80428792021-04-14 Development and testing of the hemodialysis symptom distress scale (HSD-22) to identify the symptom cluster by using exploratory factor analysis Chen, Mei-Chu Ho, Ya-Fang Lin, Chiu-Chu Wu, Chia-Chen BMC Nephrol Research Article BACKGROUND: Patients receiving hemodialysis (HD) often experience multiple symptoms concurrently and these symptoms may impact their quality of life. A valid and reliable tool is needed to assess the symptom distress of patients receiving HD in terms of the perspective of symptom clusters. Although many studies have explored symptom clusters related to patients receiving HD, the clusters formed had problems with overlapping, vagueness, lack of cluster-specificity, and difficulty in discerning their common mechanism under the cluster. AIMS: To develop reliable measurement tool to identify the symptom clusters of patients undergoing HD. DESIGN: A cross-sectional descriptive study. METHODS: To examine the physiological properties of the HD symptom distress (HSD) scale, 216 participants were recruited from a HD center of a medical university hospital in southern Taiwan from February 2019 to April 2019. Construct validity was evaluated by exploratory factor analysis (EFA), and the internal consistency and test–retest reliability were estimated by Cronbach’s alpha and intraclass correlation coefficient (ICC). RESULTS: The CVI value of the HSD was 0.89. The HSD scale was composed of five factors with 22 items, including insufficient energy/vitality, cardiac–pulmonary distress, sleep disturbance, musculoskeletal distress, and gastrointestinal distress, with factor loading ranging from 0.62 to 0.87, explaining 65.5% of the total variance. Cronbach’s alpha coefficient of the HSD total scale was 0.93, and five subscales ranged from 0.73 to 0.89. The test-retest reliability was 0.92 (p < 0.001) by using the intraclass correlation coefficient (ICC) for the HSD-22 scale. CONCLUSION / IMPLICATION: Theoretical testing from our study indicated that the HSD-22 scale had satisfactory validity and reliability. Therefore, this assessment tool can be employed to identify the symptom clusters of patients receiving HD in the clinical setting. Such identification enables healthcare professionals to provide interventions to release patients’ symptom distress efficiently. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-021-02337-7. BioMed Central 2021-04-12 /pmc/articles/PMC8042879/ /pubmed/33845793 http://dx.doi.org/10.1186/s12882-021-02337-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Chen, Mei-Chu
Ho, Ya-Fang
Lin, Chiu-Chu
Wu, Chia-Chen
Development and testing of the hemodialysis symptom distress scale (HSD-22) to identify the symptom cluster by using exploratory factor analysis
title Development and testing of the hemodialysis symptom distress scale (HSD-22) to identify the symptom cluster by using exploratory factor analysis
title_full Development and testing of the hemodialysis symptom distress scale (HSD-22) to identify the symptom cluster by using exploratory factor analysis
title_fullStr Development and testing of the hemodialysis symptom distress scale (HSD-22) to identify the symptom cluster by using exploratory factor analysis
title_full_unstemmed Development and testing of the hemodialysis symptom distress scale (HSD-22) to identify the symptom cluster by using exploratory factor analysis
title_short Development and testing of the hemodialysis symptom distress scale (HSD-22) to identify the symptom cluster by using exploratory factor analysis
title_sort development and testing of the hemodialysis symptom distress scale (hsd-22) to identify the symptom cluster by using exploratory factor analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042879/
https://www.ncbi.nlm.nih.gov/pubmed/33845793
http://dx.doi.org/10.1186/s12882-021-02337-7
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