Factors driving inequality in prostate cancer survival: a population based study.

PURPOSE: As cancer control strategies have become more successful, issues around survival have become increasingly important to researchers and policy makers. The aim of this study was to examine the role of a range of clinical and socio-demographic variables in explaining variations in survival aft...

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Main Authors: Richéal M Burns, Linda Sharp, Francis J Sullivan, Sandra E Deady, Frances J Drummond, Ciaran O Neill
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4159284?pdf=render
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spelling doaj-4e500c4c01a64cdb860c4df2cb6c2f4f2020-11-25T02:22:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0199e10645610.1371/journal.pone.0106456Factors driving inequality in prostate cancer survival: a population based study.Richéal M BurnsLinda SharpFrancis J SullivanSandra E DeadyFrances J DrummondCiaran O NeillPURPOSE: As cancer control strategies have become more successful, issues around survival have become increasingly important to researchers and policy makers. The aim of this study was to examine the role of a range of clinical and socio-demographic variables in explaining variations in survival after a prostate cancer diagnosis, paying particular attention to the role of healthcare provider(s) i.e. private versus public status. METHODS: Data were extracted from the National Cancer Registry Ireland, for patients diagnosed with prostate cancer from 1998-2009 (N = 26,183). A series of multivariate Cox and logistic regression models were used to examine the role of healthcare provider and socio-economic status (area-based deprivation) on survival, controlling for age, stage, Gleason grade, marital status and region of residence. Survival was based on all-cause mortality. RESULTS: Older individuals who were treated in a private care setting were more likely to have survived than those who had not, when other factors were controlled for. Differences were evident with respect to marital status, region of residence, clinical stage and Gleason grade. The effect of socio-economic status was modified by healthcare provider, such that risk of death was higher in those men of lower socio-economic status treated by public, but not private providers in the Cox models. The logistic models revealed a socio-economic gradient in risk of death overall; the gradient was larger for those treated by public providers compared to those treated by private providers when controlling for a range of other confounding factors. CONCLUSION: The role of healthcare provider and socio-economic status in survival of men with prostate cancer may give rise to concerns that warrant further investigation.http://europepmc.org/articles/PMC4159284?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Richéal M Burns
Linda Sharp
Francis J Sullivan
Sandra E Deady
Frances J Drummond
Ciaran O Neill
spellingShingle Richéal M Burns
Linda Sharp
Francis J Sullivan
Sandra E Deady
Frances J Drummond
Ciaran O Neill
Factors driving inequality in prostate cancer survival: a population based study.
PLoS ONE
author_facet Richéal M Burns
Linda Sharp
Francis J Sullivan
Sandra E Deady
Frances J Drummond
Ciaran O Neill
author_sort Richéal M Burns
title Factors driving inequality in prostate cancer survival: a population based study.
title_short Factors driving inequality in prostate cancer survival: a population based study.
title_full Factors driving inequality in prostate cancer survival: a population based study.
title_fullStr Factors driving inequality in prostate cancer survival: a population based study.
title_full_unstemmed Factors driving inequality in prostate cancer survival: a population based study.
title_sort factors driving inequality in prostate cancer survival: a population based study.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description PURPOSE: As cancer control strategies have become more successful, issues around survival have become increasingly important to researchers and policy makers. The aim of this study was to examine the role of a range of clinical and socio-demographic variables in explaining variations in survival after a prostate cancer diagnosis, paying particular attention to the role of healthcare provider(s) i.e. private versus public status. METHODS: Data were extracted from the National Cancer Registry Ireland, for patients diagnosed with prostate cancer from 1998-2009 (N = 26,183). A series of multivariate Cox and logistic regression models were used to examine the role of healthcare provider and socio-economic status (area-based deprivation) on survival, controlling for age, stage, Gleason grade, marital status and region of residence. Survival was based on all-cause mortality. RESULTS: Older individuals who were treated in a private care setting were more likely to have survived than those who had not, when other factors were controlled for. Differences were evident with respect to marital status, region of residence, clinical stage and Gleason grade. The effect of socio-economic status was modified by healthcare provider, such that risk of death was higher in those men of lower socio-economic status treated by public, but not private providers in the Cox models. The logistic models revealed a socio-economic gradient in risk of death overall; the gradient was larger for those treated by public providers compared to those treated by private providers when controlling for a range of other confounding factors. CONCLUSION: The role of healthcare provider and socio-economic status in survival of men with prostate cancer may give rise to concerns that warrant further investigation.
url http://europepmc.org/articles/PMC4159284?pdf=render
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