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Predictors of health care use in Australian cancer patients

OBJECTIVE: The purpose of this study is to measure health care utilization in Australian cancer patients based on their demographic, geographic and socioeconomic backgrounds. METHOD: A total of 13,609 participants (aged 15 and over) from 7,230 households were interviewed as part of Wave 13 of the na...

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Autores principales: Rana, Rezwanul Hasan, Alam, Khorshed, Gow, Jeff, Ralph, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6664209/
https://www.ncbi.nlm.nih.gov/pubmed/31440086
http://dx.doi.org/10.2147/CMAR.S193615
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author Rana, Rezwanul Hasan
Alam, Khorshed
Gow, Jeff
Ralph, Nicholas
author_facet Rana, Rezwanul Hasan
Alam, Khorshed
Gow, Jeff
Ralph, Nicholas
author_sort Rana, Rezwanul Hasan
collection PubMed
description OBJECTIVE: The purpose of this study is to measure health care utilization in Australian cancer patients based on their demographic, geographic and socioeconomic backgrounds. METHOD: A total of 13,609 participants (aged 15 and over) from 7,230 households were interviewed as part of Wave 13 of the national Household, Income and Labour Dynamics in Australia (HILDA) survey. Five hundred and seventeen participants indicated a current cancer diagnosis with 90% of those receiving active treatment at the time of interview. Independent sample t-tests, Pearson Chi-sq tests, Kruskal‒Wallis H test, binary logistic regression and a zero-inflated Poisson regression were used to examine inequality in health care use. RESULTS: Demographic and sociocultural factors such as advancing age, gender, low income, low education status, rurality, no private health insurance, increased psychological distress and less access to specialist care are associated with lower health care utilization among cancer patients. However, models of care such as general practitioner-led cancer care is preferable in younger individuals with cancer, while accessing specialist care is associated with lower rates of hospitalization and higher levels of psychological distress increases hospital length of stay. CONCLUSIONS: The findings of lower health care utilization by those cancer patients with characteristics of disadvantage have implications for policy development and intervention design. Broadly, policies targeting structural social inequities are likely to increase health care utilization among the most affected/disadvantaged populations. Further investigation is needed to identify potential links between health care utilization and cancer outcomes as a step toward targeted interventions for improving outcomes in the adversely affected groups.
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spelling pubmed-66642092019-08-22 Predictors of health care use in Australian cancer patients Rana, Rezwanul Hasan Alam, Khorshed Gow, Jeff Ralph, Nicholas Cancer Manag Res Original Research OBJECTIVE: The purpose of this study is to measure health care utilization in Australian cancer patients based on their demographic, geographic and socioeconomic backgrounds. METHOD: A total of 13,609 participants (aged 15 and over) from 7,230 households were interviewed as part of Wave 13 of the national Household, Income and Labour Dynamics in Australia (HILDA) survey. Five hundred and seventeen participants indicated a current cancer diagnosis with 90% of those receiving active treatment at the time of interview. Independent sample t-tests, Pearson Chi-sq tests, Kruskal‒Wallis H test, binary logistic regression and a zero-inflated Poisson regression were used to examine inequality in health care use. RESULTS: Demographic and sociocultural factors such as advancing age, gender, low income, low education status, rurality, no private health insurance, increased psychological distress and less access to specialist care are associated with lower health care utilization among cancer patients. However, models of care such as general practitioner-led cancer care is preferable in younger individuals with cancer, while accessing specialist care is associated with lower rates of hospitalization and higher levels of psychological distress increases hospital length of stay. CONCLUSIONS: The findings of lower health care utilization by those cancer patients with characteristics of disadvantage have implications for policy development and intervention design. Broadly, policies targeting structural social inequities are likely to increase health care utilization among the most affected/disadvantaged populations. Further investigation is needed to identify potential links between health care utilization and cancer outcomes as a step toward targeted interventions for improving outcomes in the adversely affected groups. Dove 2019-07-24 /pmc/articles/PMC6664209/ /pubmed/31440086 http://dx.doi.org/10.2147/CMAR.S193615 Text en © 2019 Rana et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Rana, Rezwanul Hasan
Alam, Khorshed
Gow, Jeff
Ralph, Nicholas
Predictors of health care use in Australian cancer patients
title Predictors of health care use in Australian cancer patients
title_full Predictors of health care use in Australian cancer patients
title_fullStr Predictors of health care use in Australian cancer patients
title_full_unstemmed Predictors of health care use in Australian cancer patients
title_short Predictors of health care use in Australian cancer patients
title_sort predictors of health care use in australian cancer patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6664209/
https://www.ncbi.nlm.nih.gov/pubmed/31440086
http://dx.doi.org/10.2147/CMAR.S193615
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