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Can Quality of Life Assessments Differentiate Heterogeneous Cancer Patients?

PURPOSE: This research conducted a face validation study of patient responses to the application of an HRQOL assessment research tool in a comprehensive community cancer program setting across a heterogeneous cohort of cancer patients throughout the natural history of diagnosed malignant disease, ma...

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Autores principales: McCabe, Ryan M., Grutsch, James F., Nutakki, Swetha B., Braun, Donald P., Markman, Maurie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053440/
https://www.ncbi.nlm.nih.gov/pubmed/24919068
http://dx.doi.org/10.1371/journal.pone.0099445
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author McCabe, Ryan M.
Grutsch, James F.
Nutakki, Swetha B.
Braun, Donald P.
Markman, Maurie
author_facet McCabe, Ryan M.
Grutsch, James F.
Nutakki, Swetha B.
Braun, Donald P.
Markman, Maurie
author_sort McCabe, Ryan M.
collection PubMed
description PURPOSE: This research conducted a face validation study of patient responses to the application of an HRQOL assessment research tool in a comprehensive community cancer program setting across a heterogeneous cohort of cancer patients throughout the natural history of diagnosed malignant disease, many of whom would not be considered candidates for clinical research trial participation. METHODS: Cancer registries at two regional cancer treatment centers identified 11072 cancer patients over a period of nine years. The EORTC QLQ-C30 was administered to patients at the time of their initial clinical presentation to these centers. To determine the significance of differences between patient subgroups, two analytic criteria were used. The Mann-Whitney test was used to determine statistical significance; clinical relevance defined a range of point differences that could be perceived by patients with different health states. RESULTS: Univariate analyses were conducted across stratification variables for population, disease severity and demographic characteristics. The largest differences were associated with cancer diagnosis and recurrence of disease. Large differences were also found for site of origin, mortality and stage; minimal differences were observed for gender and age. Consistently sensitive QoL scales were appetite loss, fatigue and pain symptoms, and role (work-related), social and physical functions. CONCLUSIONS: 1) The EORTC QLQ-C30 collected meaningful patient health assessments in the context of non-research based clinical care, 2) patient assessment differences are manifested disparately across 15 QoL domains, and 3) in addition to indicating how a patient may feel at a point in time, QoL indicators may also reveal information about underlying biological responses to disease progression, treatments, and prospective survival.
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spelling pubmed-40534402014-06-18 Can Quality of Life Assessments Differentiate Heterogeneous Cancer Patients? McCabe, Ryan M. Grutsch, James F. Nutakki, Swetha B. Braun, Donald P. Markman, Maurie PLoS One Research Article PURPOSE: This research conducted a face validation study of patient responses to the application of an HRQOL assessment research tool in a comprehensive community cancer program setting across a heterogeneous cohort of cancer patients throughout the natural history of diagnosed malignant disease, many of whom would not be considered candidates for clinical research trial participation. METHODS: Cancer registries at two regional cancer treatment centers identified 11072 cancer patients over a period of nine years. The EORTC QLQ-C30 was administered to patients at the time of their initial clinical presentation to these centers. To determine the significance of differences between patient subgroups, two analytic criteria were used. The Mann-Whitney test was used to determine statistical significance; clinical relevance defined a range of point differences that could be perceived by patients with different health states. RESULTS: Univariate analyses were conducted across stratification variables for population, disease severity and demographic characteristics. The largest differences were associated with cancer diagnosis and recurrence of disease. Large differences were also found for site of origin, mortality and stage; minimal differences were observed for gender and age. Consistently sensitive QoL scales were appetite loss, fatigue and pain symptoms, and role (work-related), social and physical functions. CONCLUSIONS: 1) The EORTC QLQ-C30 collected meaningful patient health assessments in the context of non-research based clinical care, 2) patient assessment differences are manifested disparately across 15 QoL domains, and 3) in addition to indicating how a patient may feel at a point in time, QoL indicators may also reveal information about underlying biological responses to disease progression, treatments, and prospective survival. Public Library of Science 2014-06-11 /pmc/articles/PMC4053440/ /pubmed/24919068 http://dx.doi.org/10.1371/journal.pone.0099445 Text en © 2014 McCabe et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
McCabe, Ryan M.
Grutsch, James F.
Nutakki, Swetha B.
Braun, Donald P.
Markman, Maurie
Can Quality of Life Assessments Differentiate Heterogeneous Cancer Patients?
title Can Quality of Life Assessments Differentiate Heterogeneous Cancer Patients?
title_full Can Quality of Life Assessments Differentiate Heterogeneous Cancer Patients?
title_fullStr Can Quality of Life Assessments Differentiate Heterogeneous Cancer Patients?
title_full_unstemmed Can Quality of Life Assessments Differentiate Heterogeneous Cancer Patients?
title_short Can Quality of Life Assessments Differentiate Heterogeneous Cancer Patients?
title_sort can quality of life assessments differentiate heterogeneous cancer patients?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053440/
https://www.ncbi.nlm.nih.gov/pubmed/24919068
http://dx.doi.org/10.1371/journal.pone.0099445
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