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Attributing Variance in Supportive Care Needs during Cancer: Culture-Service, and Individual Differences, before Clinical Factors

BACKGROUND: Studies using the Supportive Care Needs Survey (SCNS) report high levels of unmet supportive care needs (SCNs) in psychological and less-so physical & daily living domains, interpreted as reflecting disease/treatment-coping deficits. However, service and culture differences may accou...

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Autores principales: Fielding, Richard, Lam, Wendy Wing Tak, Shun, Shiow Ching, Okuyama, Toru, Lai, Yeur Hur, Wada, Makoto, Akechi, Tatsuo, Li, Wylie Wai Yee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669056/
https://www.ncbi.nlm.nih.gov/pubmed/23741467
http://dx.doi.org/10.1371/journal.pone.0065099
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author Fielding, Richard
Lam, Wendy Wing Tak
Shun, Shiow Ching
Okuyama, Toru
Lai, Yeur Hur
Wada, Makoto
Akechi, Tatsuo
Li, Wylie Wai Yee
author_facet Fielding, Richard
Lam, Wendy Wing Tak
Shun, Shiow Ching
Okuyama, Toru
Lai, Yeur Hur
Wada, Makoto
Akechi, Tatsuo
Li, Wylie Wai Yee
author_sort Fielding, Richard
collection PubMed
description BACKGROUND: Studies using the Supportive Care Needs Survey (SCNS) report high levels of unmet supportive care needs (SCNs) in psychological and less-so physical & daily living domains, interpreted as reflecting disease/treatment-coping deficits. However, service and culture differences may account for unmet SCNs variability. We explored if service and culture differences better account for observed SCNs patterns. METHODS: Hong Kong (n = 180), Taiwanese (n = 263) and Japanese (n = 109) CRC patients’ top 10 ranked SCNS-34 items were contrasted. Mean SCNS-34 domain scores were compared by sample and treatment status, then adjusted for sample composition, disease stage and treatment status using multivariate hierarchical regression. RESULTS: All samples were assessed at comparable time-points. SCNs were most prevalent among Japanese and least among Taiwanese patients. Japanese patients emphasized Psychological (domain mean = 40.73) and Health systems and information (HSI) (38.61) SCN domains, whereas Taiwanese and Hong Kong patients emphasized HSI (27.41; 32.92) and Patient care & support (PCS) (19.70; 18.38) SCN domains. Mean Psychological domain scores differed: Hong Kong = 9.72, Taiwan = 17.84 and Japan = 40.73 (p<0.03–0.001, Bonferroni). Other SCN domains differed only between Chinese and Japanese samples (all p<0.001). Treatment status differentiated Taiwanese more starkly than Hong Kong patients. After adjustment, sample origin accounted for most variance in SCN domain scores (p<0.001), followed by age (p = 0.01–0.001) and employment status (p = 0.01–0.001). Treatment status and Disease stage, though retained, accounted for least variance. Overall accounted variance remained low. CONCLUSIONS: Health service and/or cultural influences, age and occupation differences, and less so clinical factors, differentially account for significant variation in published studies of SCNs.
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spelling pubmed-36690562013-06-05 Attributing Variance in Supportive Care Needs during Cancer: Culture-Service, and Individual Differences, before Clinical Factors Fielding, Richard Lam, Wendy Wing Tak Shun, Shiow Ching Okuyama, Toru Lai, Yeur Hur Wada, Makoto Akechi, Tatsuo Li, Wylie Wai Yee PLoS One Research Article BACKGROUND: Studies using the Supportive Care Needs Survey (SCNS) report high levels of unmet supportive care needs (SCNs) in psychological and less-so physical & daily living domains, interpreted as reflecting disease/treatment-coping deficits. However, service and culture differences may account for unmet SCNs variability. We explored if service and culture differences better account for observed SCNs patterns. METHODS: Hong Kong (n = 180), Taiwanese (n = 263) and Japanese (n = 109) CRC patients’ top 10 ranked SCNS-34 items were contrasted. Mean SCNS-34 domain scores were compared by sample and treatment status, then adjusted for sample composition, disease stage and treatment status using multivariate hierarchical regression. RESULTS: All samples were assessed at comparable time-points. SCNs were most prevalent among Japanese and least among Taiwanese patients. Japanese patients emphasized Psychological (domain mean = 40.73) and Health systems and information (HSI) (38.61) SCN domains, whereas Taiwanese and Hong Kong patients emphasized HSI (27.41; 32.92) and Patient care & support (PCS) (19.70; 18.38) SCN domains. Mean Psychological domain scores differed: Hong Kong = 9.72, Taiwan = 17.84 and Japan = 40.73 (p<0.03–0.001, Bonferroni). Other SCN domains differed only between Chinese and Japanese samples (all p<0.001). Treatment status differentiated Taiwanese more starkly than Hong Kong patients. After adjustment, sample origin accounted for most variance in SCN domain scores (p<0.001), followed by age (p = 0.01–0.001) and employment status (p = 0.01–0.001). Treatment status and Disease stage, though retained, accounted for least variance. Overall accounted variance remained low. CONCLUSIONS: Health service and/or cultural influences, age and occupation differences, and less so clinical factors, differentially account for significant variation in published studies of SCNs. Public Library of Science 2013-05-31 /pmc/articles/PMC3669056/ /pubmed/23741467 http://dx.doi.org/10.1371/journal.pone.0065099 Text en © 2013 Fielding 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
Fielding, Richard
Lam, Wendy Wing Tak
Shun, Shiow Ching
Okuyama, Toru
Lai, Yeur Hur
Wada, Makoto
Akechi, Tatsuo
Li, Wylie Wai Yee
Attributing Variance in Supportive Care Needs during Cancer: Culture-Service, and Individual Differences, before Clinical Factors
title Attributing Variance in Supportive Care Needs during Cancer: Culture-Service, and Individual Differences, before Clinical Factors
title_full Attributing Variance in Supportive Care Needs during Cancer: Culture-Service, and Individual Differences, before Clinical Factors
title_fullStr Attributing Variance in Supportive Care Needs during Cancer: Culture-Service, and Individual Differences, before Clinical Factors
title_full_unstemmed Attributing Variance in Supportive Care Needs during Cancer: Culture-Service, and Individual Differences, before Clinical Factors
title_short Attributing Variance in Supportive Care Needs during Cancer: Culture-Service, and Individual Differences, before Clinical Factors
title_sort attributing variance in supportive care needs during cancer: culture-service, and individual differences, before clinical factors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669056/
https://www.ncbi.nlm.nih.gov/pubmed/23741467
http://dx.doi.org/10.1371/journal.pone.0065099
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