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Disparities in quality of life, social distress and employment outcomes in Australian cancer survivors

PURPOSE: To examine how socio-demographic, comorbidities and information needs influence quality of life (QoL) outcomes of survivors of breast, colorectal, or prostate cancer, non-Hodgkin lymphoma or melanoma. METHODS: Cross-sectional postal survey with eligible participants identified through a pop...

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Autores principales: White, Victoria M., Lisy, Karolina, Ward, Andrew, Ristevski, Eli, Clode, Melanie, Webber, Kate, Emery, Jon, Ijzerman, Maarten J., Afshar, Nina, Millar, Jeremy, Gibbs, Peter, Evans, Sue, Jefford, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046289/
https://www.ncbi.nlm.nih.gov/pubmed/35279769
http://dx.doi.org/10.1007/s00520-022-06914-w
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author White, Victoria M.
Lisy, Karolina
Ward, Andrew
Ristevski, Eli
Clode, Melanie
Webber, Kate
Emery, Jon
Ijzerman, Maarten J.
Afshar, Nina
Millar, Jeremy
Gibbs, Peter
Evans, Sue
Jefford, Michael
author_facet White, Victoria M.
Lisy, Karolina
Ward, Andrew
Ristevski, Eli
Clode, Melanie
Webber, Kate
Emery, Jon
Ijzerman, Maarten J.
Afshar, Nina
Millar, Jeremy
Gibbs, Peter
Evans, Sue
Jefford, Michael
author_sort White, Victoria M.
collection PubMed
description PURPOSE: To examine how socio-demographic, comorbidities and information needs influence quality of life (QoL) outcomes of survivors of breast, colorectal, or prostate cancer, non-Hodgkin lymphoma or melanoma. METHODS: Cross-sectional postal survey with eligible participants identified through a population-based cancer registry. QoL outcomes were assessed by EQ-5D-5L, social difficulties index (SDI) and, for those employed at diagnosis, current employment. Regression analyses explored associations between outcome variables and cancer type, age, time since diagnosis, residential location, socio-economic disadvantage, comorbidities and unmet information needs. Mediation analyses examined whether comorbidities and information needs explained relationships between outcome variables and socio-economic disadvantage. RESULTS: 2115 survivors participated. Mean EQ-5D-5L scores (mean = 0.84) were similar to population averages and SDI scores were low for the entire sample (mean = 3.80). In multivariate analyses, being aged over 80, greater socio-economic disadvantage, comorbidities and unmet information needs decreased EQ-5D-5L scores. Higher SDI scores were associated with socio-economic disadvantage, comorbidities and unmet information needs. Not being employed was associated with being aged over 50, more comorbidities and socio-economic disadvantage. Comorbidities but not information needs partially mediated the impact of socio-economic disadvantage on EQ-5D-5L and SDI accounting for 17% and 14% of the total effect of socio-economic disadvantage respectively. Neither comorbidities nor information needs mediated the association between socio-economic disadvantage and employment outcomes. CONCLUSIONS: To improve quality of life, survivorship care should be better tailored to address the needs of individuals given their overall health and impact of comorbidities, their age and type of cancer and not simply time since diagnosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00520-022-06914-w.
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spelling pubmed-90462892022-05-07 Disparities in quality of life, social distress and employment outcomes in Australian cancer survivors White, Victoria M. Lisy, Karolina Ward, Andrew Ristevski, Eli Clode, Melanie Webber, Kate Emery, Jon Ijzerman, Maarten J. Afshar, Nina Millar, Jeremy Gibbs, Peter Evans, Sue Jefford, Michael Support Care Cancer Original Article PURPOSE: To examine how socio-demographic, comorbidities and information needs influence quality of life (QoL) outcomes of survivors of breast, colorectal, or prostate cancer, non-Hodgkin lymphoma or melanoma. METHODS: Cross-sectional postal survey with eligible participants identified through a population-based cancer registry. QoL outcomes were assessed by EQ-5D-5L, social difficulties index (SDI) and, for those employed at diagnosis, current employment. Regression analyses explored associations between outcome variables and cancer type, age, time since diagnosis, residential location, socio-economic disadvantage, comorbidities and unmet information needs. Mediation analyses examined whether comorbidities and information needs explained relationships between outcome variables and socio-economic disadvantage. RESULTS: 2115 survivors participated. Mean EQ-5D-5L scores (mean = 0.84) were similar to population averages and SDI scores were low for the entire sample (mean = 3.80). In multivariate analyses, being aged over 80, greater socio-economic disadvantage, comorbidities and unmet information needs decreased EQ-5D-5L scores. Higher SDI scores were associated with socio-economic disadvantage, comorbidities and unmet information needs. Not being employed was associated with being aged over 50, more comorbidities and socio-economic disadvantage. Comorbidities but not information needs partially mediated the impact of socio-economic disadvantage on EQ-5D-5L and SDI accounting for 17% and 14% of the total effect of socio-economic disadvantage respectively. Neither comorbidities nor information needs mediated the association between socio-economic disadvantage and employment outcomes. CONCLUSIONS: To improve quality of life, survivorship care should be better tailored to address the needs of individuals given their overall health and impact of comorbidities, their age and type of cancer and not simply time since diagnosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00520-022-06914-w. Springer Berlin Heidelberg 2022-03-12 2022 /pmc/articles/PMC9046289/ /pubmed/35279769 http://dx.doi.org/10.1007/s00520-022-06914-w Text en © The Author(s) 2022 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/) .
spellingShingle Original Article
White, Victoria M.
Lisy, Karolina
Ward, Andrew
Ristevski, Eli
Clode, Melanie
Webber, Kate
Emery, Jon
Ijzerman, Maarten J.
Afshar, Nina
Millar, Jeremy
Gibbs, Peter
Evans, Sue
Jefford, Michael
Disparities in quality of life, social distress and employment outcomes in Australian cancer survivors
title Disparities in quality of life, social distress and employment outcomes in Australian cancer survivors
title_full Disparities in quality of life, social distress and employment outcomes in Australian cancer survivors
title_fullStr Disparities in quality of life, social distress and employment outcomes in Australian cancer survivors
title_full_unstemmed Disparities in quality of life, social distress and employment outcomes in Australian cancer survivors
title_short Disparities in quality of life, social distress and employment outcomes in Australian cancer survivors
title_sort disparities in quality of life, social distress and employment outcomes in australian cancer survivors
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046289/
https://www.ncbi.nlm.nih.gov/pubmed/35279769
http://dx.doi.org/10.1007/s00520-022-06914-w
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