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Impact of area-level socioeconomic status and accessibility to treatment on life expectancy after a cancer diagnosis in Queensland, Australia.
Kou, Kou; Dasgupta, Paramita; Aitken, Joanne F; Baade, Peter D.
Afiliação
  • Kou K; Cancer Council Queensland, Brisbane, Australia.
  • Dasgupta P; Cancer Council Queensland, Brisbane, Australia.
  • Aitken JF; Cancer Council Queensland, Brisbane, Australia; School of Public Health, The University of Queensland, Brisbane, Australia; School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia; Institute for Resilient Regions, University of Southern Queensland, Bris
  • Baade PD; Cancer Council Queensland, Brisbane, Australia; Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Parklands Drive, Southport, QLD 4222, Australia; School of Mathematical Sciences, Queensland University of Technology, Gardens Point, Brisbane, QLD 4000, Australia. Electronic
Cancer Epidemiol ; 69: 101803, 2020 12.
Article em En | MEDLINE | ID: mdl-32927295
ABSTRACT

AIMS:

This study quantifies geographic inequities in loss of life expectancy (LOLE) by area-level socioeconomic status (SES) and accessibility to treatment.

METHODS:

Analysis was conducted using a population-based cancer-registry cohort (n = 371,570) of Queensland (Australia) residents aged 50-89 years, diagnosed between 1997-2016. Flexible parametric survival models were used to estimate LOLE by area-level SES and accessibility for all invasive cancers and the five leading cancers. The gain in life years that could be achieved if all cancer patients experienced the same relative survival as those in the least disadvantaged-high accessibility category was estimated for the 2016 cohort.

RESULTS:

For all invasive cancers, men living in the most disadvantaged areas lost 34 % of life expectancy due to their cancer diagnosis, while those from the least disadvantaged areas lost 25 %. The corresponding percentages for women were 33 % and 23 %. Accessibility had a lower impact on LOLE than SES, with patients from low accessibility areas losing 0-4 % more life expectancy than those from high accessibility areas. For cancer patients diagnosed in 2016 (n = 24,423), an estimated 101,387 life years will be lost. This would be reduced by 19 % if all patients experienced the same relative survival as those from the least disadvantaged-high accessibility areas.

CONCLUSION:

The impact of a cancer diagnosis on remaining life expectancy varies by geographical area. Establishing reasons why area disadvantage impacts on life expectancy is crucial to inform subsequent interventions that could increase the life expectancy of cancer patients from more disadvantaged areas.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Classe Social / Fatores Socioeconômicos / Expectativa de Vida / Neoplasias Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Oceania Idioma: En Revista: Cancer Epidemiol Assunto da revista: EPIDEMIOLOGIA / NEOPLASIAS Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Classe Social / Fatores Socioeconômicos / Expectativa de Vida / Neoplasias Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Oceania Idioma: En Revista: Cancer Epidemiol Assunto da revista: EPIDEMIOLOGIA / NEOPLASIAS Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Austrália