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A modified Edmonton Symptom Assessment Scale for symptom clusters in radiation oncology patients

Patient‐reported outcomes regarding symptom burden may provide valuable information in addition to physician assessment. Systematic collection of patient‐reported outcomes may be an important metric to identify unmet needs and improve quality of patient care. To understand common symptoms of patient...

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Autores principales: Johnstone, Peter A. S., Lee, Jae, Zhou, Jun‐Min, Ma, Zhenjun, Portman, Diane, Jim, Heather, Yu, Hsiang‐Hsuan Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603842/
https://www.ncbi.nlm.nih.gov/pubmed/28776964
http://dx.doi.org/10.1002/cam4.1125
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author Johnstone, Peter A. S.
Lee, Jae
Zhou, Jun‐Min
Ma, Zhenjun
Portman, Diane
Jim, Heather
Yu, Hsiang‐Hsuan Michael
author_facet Johnstone, Peter A. S.
Lee, Jae
Zhou, Jun‐Min
Ma, Zhenjun
Portman, Diane
Jim, Heather
Yu, Hsiang‐Hsuan Michael
author_sort Johnstone, Peter A. S.
collection PubMed
description Patient‐reported outcomes regarding symptom burden may provide valuable information in addition to physician assessment. Systematic collection of patient‐reported outcomes may be an important metric to identify unmet needs and improve quality of patient care. To understand common symptoms of patients seen in radiation oncology clinic, we examined the prospectively collected modified Edmonton Symptom Assessment Scale (ESAS‐r) data to explore symptom clusters. Our clinic established use of a modified Edmonton Symptom Assessment Scale in August 2015. All outpatients presenting for radiation oncology services completed the form at each clinic visit. Symptom clusters are defined by two or more symptoms that are interrelated and occur simultaneously with a high degree of predictability. A sample of 916 de‐identified surveys was assessed statistically using principal component analysis (PCA) with varimax rotation to determine independent clustering between the symptoms queried. We found four major clusters of symptoms: Tiredness (tired, drowsiness; PC1), Loss of Appetite (nausea, lack of appetite; PC2), Low Well‐Being (overall & spiritual well‐being; PC3), and Depression (depression, anxiety; PC4). These accounted for 46%, 9.2%, 7.6%, and 7% of total variance, respectively. Internal consistency using Cronbach's alpha was 0.87, 0.7, 0.82, and 0.87, respectively. The most frequent write‐in item was itchiness, present in 24% of the 148 patients responding. Assessment of patients seen in a large radiation oncology clinic revealed several symptom clusters. {Tiredness and drowsiness} represents a major symptom cluster. Itchiness may be underrecognized.
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spelling pubmed-56038422017-09-20 A modified Edmonton Symptom Assessment Scale for symptom clusters in radiation oncology patients Johnstone, Peter A. S. Lee, Jae Zhou, Jun‐Min Ma, Zhenjun Portman, Diane Jim, Heather Yu, Hsiang‐Hsuan Michael Cancer Med Clinical Cancer Research Patient‐reported outcomes regarding symptom burden may provide valuable information in addition to physician assessment. Systematic collection of patient‐reported outcomes may be an important metric to identify unmet needs and improve quality of patient care. To understand common symptoms of patients seen in radiation oncology clinic, we examined the prospectively collected modified Edmonton Symptom Assessment Scale (ESAS‐r) data to explore symptom clusters. Our clinic established use of a modified Edmonton Symptom Assessment Scale in August 2015. All outpatients presenting for radiation oncology services completed the form at each clinic visit. Symptom clusters are defined by two or more symptoms that are interrelated and occur simultaneously with a high degree of predictability. A sample of 916 de‐identified surveys was assessed statistically using principal component analysis (PCA) with varimax rotation to determine independent clustering between the symptoms queried. We found four major clusters of symptoms: Tiredness (tired, drowsiness; PC1), Loss of Appetite (nausea, lack of appetite; PC2), Low Well‐Being (overall & spiritual well‐being; PC3), and Depression (depression, anxiety; PC4). These accounted for 46%, 9.2%, 7.6%, and 7% of total variance, respectively. Internal consistency using Cronbach's alpha was 0.87, 0.7, 0.82, and 0.87, respectively. The most frequent write‐in item was itchiness, present in 24% of the 148 patients responding. Assessment of patients seen in a large radiation oncology clinic revealed several symptom clusters. {Tiredness and drowsiness} represents a major symptom cluster. Itchiness may be underrecognized. John Wiley and Sons Inc. 2017-08-04 /pmc/articles/PMC5603842/ /pubmed/28776964 http://dx.doi.org/10.1002/cam4.1125 Text en © 2017 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (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 Clinical Cancer Research
Johnstone, Peter A. S.
Lee, Jae
Zhou, Jun‐Min
Ma, Zhenjun
Portman, Diane
Jim, Heather
Yu, Hsiang‐Hsuan Michael
A modified Edmonton Symptom Assessment Scale for symptom clusters in radiation oncology patients
title A modified Edmonton Symptom Assessment Scale for symptom clusters in radiation oncology patients
title_full A modified Edmonton Symptom Assessment Scale for symptom clusters in radiation oncology patients
title_fullStr A modified Edmonton Symptom Assessment Scale for symptom clusters in radiation oncology patients
title_full_unstemmed A modified Edmonton Symptom Assessment Scale for symptom clusters in radiation oncology patients
title_short A modified Edmonton Symptom Assessment Scale for symptom clusters in radiation oncology patients
title_sort modified edmonton symptom assessment scale for symptom clusters in radiation oncology patients
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603842/
https://www.ncbi.nlm.nih.gov/pubmed/28776964
http://dx.doi.org/10.1002/cam4.1125
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