Literature DB >> 25689378

Cancer outcomes for Aboriginal and Torres Strait Islander Australians in rural and remote areas.

Abbey Diaz1, Lisa J Whop, Patricia C Valery, Suzanne P Moore, Joan Cunningham, Gail Garvey, John R Condon.   

Abstract

OBJECTIVE: To examine the association between residential remoteness and stage of cancer at diagnosis, treatment uptake, and survival within the Australian Indigenous population.
DESIGN: Systematic review and matched retrospective cohort study.
SETTING: Australia. PARTICIPANTS: Systematic review: published papers that included a comparison of cancer stage at diagnosis, treatment uptake, mortality and/or survival for Indigenous people across remoteness categories were identified (n = 181). Fifteen papers (13 studies) were included in the review. Original analyses: new analyses were conducted using data from the Queensland Indigenous Cancer Study (QICS) comparing cancer stage at diagnosis, treatment uptake, and survival for Indigenous cancer patients living in rural/remote areas (n = 627, 66%) and urban areas (n = 329, 34%). MAIN OUTCOME MEASURES: Systematic review: Papers were included if there were related to stage of disease at diagnosis, treatment, mortality and survival of cancer. Restrictions were not placed on the outcome measures reported (e.g. standardised mortality ratios versus crude mortality rates). Original analyses: Odds ratios (OR, 95%CI) were used to compare stage of disease and treatment uptake between the two remoteness groups. Treatment uptake (treated/not treated) was analysed using logistic regression analysis. Survival was analysed using Cox proportional hazards regression. The final multivariate models included stage of cancer at diagnosis and area-level socioeconomic status (SEIFA).
RESULTS: Existing evidence of variation in cancer outcomes for Indigenous people in remote compared with metropolitan areas is limited. While no previous studies have reported on differences in cancer stage and treatment uptake by remoteness within the Indigenous population, the available evidence suggests Indigenous cancer patients are less likely to survive their cancer the further they live from urban centres. New analysis of QICS data indicates that Indigenous cancer patients in rural/remote Queensland were less likely to be diagnosed with localised disease and less likely to receive treatment for their cancer compared to their urban counterparts.
CONCLUSION: More research is needed to fully understand geographic differentials in cancer outcomes within the Indigenous population. Knowing how geographical location interacts with Indigenous status can help to identify ways of improving cancer outcomes for Indigenous Australians.
© 2015 National Rural Health Alliance Inc.

Entities:  

Keywords:  aboriginal; cancer; indigenous; rural; survival; urban

Mesh:

Year:  2015        PMID: 25689378     DOI: 10.1111/ajr.12169

Source DB:  PubMed          Journal:  Aust J Rural Health        ISSN: 1038-5282            Impact factor:   1.662


  11 in total

1.  Follow-up cancer care: perspectives of Aboriginal and Torres Strait Islander cancer survivors.

Authors:  J A Meiklejohn; G Garvey; R Bailie; E Walpole; J Adams; D Williamson; J Martin; C M Bernardes; B Arley; B Marcusson; P C Valery
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2.  Young-Onset Gastrointestinal Adenocarcinoma Incidence and Survival Trends in the Northern Territory, Australia, with Emphasis on Indigenous Peoples.

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Journal:  Cancers (Basel)       Date:  2022-06-10       Impact factor: 6.575

3.  Cancer survival differentials for Aboriginal and Torres Strait Islander peoples in Queensland: the impact of remoteness.

Authors:  S M Cramb; L J Whop; G Garvey; P D Baade
Journal:  Cancer Causes Control       Date:  2022-10-20       Impact factor: 2.532

4.  Achieving High Breast Cancer Survival for Women in Rural and Remote Areas.

Authors:  Albert Hoang Nguyen Ho-Huynh; Timothy J Elston; Ronny K Gunnarsson; Alan De Costa
Journal:  Asian Pac J Cancer Prev       Date:  2022-01-01

5.  Breast Cancer in Australian Indigenous Women: Incidence,zzm321990Mortality, and Risk Factors

Authors:  Kriscia A Tapia; Gail Garvey; Mark Mc Entee; Mary Rickard; Patrick Brennan
Journal:  Asian Pac J Cancer Prev       Date:  2017-04-01

6.  Symptom-Related Distress among Indigenous Australians in Specialist End-of-Life Care: Findings from the Multi-Jurisdictional Palliative Care Outcomes Collaboration Data.

Authors:  John A Woods; Claire E Johnson; Hanh T Ngo; Judith M Katzenellenbogen; Kevin Murray; Sandra C Thompson
Journal:  Int J Environ Res Public Health       Date:  2020-04-30       Impact factor: 3.390

7.  Understanding Aboriginal Peoples' Cultural and Family Connections Can Help Inform the Development of Culturally Appropriate Cancer Survivorship Models of Care.

Authors:  Eli Ristevski; Sharyn Thompson; Sharon Kingaby; Claire Nightingale; Mahesh Iddawela
Journal:  JCO Glob Oncol       Date:  2020-02

Review 8.  Psychosocial well-being and supportive care needs of cancer patients and survivors living in rural or regional areas: a systematic review from 2010 to 2021.

Authors:  Shannen R van der Kruk; Phyllis Butow; Ilse Mesters; Terry Boyle; Ian Olver; Kate White; Sabe Sabesan; Rob Zielinski; Bryan A Chan; Kristiaan Spronk; Peter Grimison; Craig Underhill; Laura Kirsten; Kate M Gunn
Journal:  Support Care Cancer       Date:  2021-08-14       Impact factor: 3.603

9.  Development of a National Aboriginal and Torres Strait Islander Cancer Framework: A Shared Process to Guide Effective Policy and Practice.

Authors:  Jenny Brands; Gail Garvey; Kate Anderson; Joan Cunningham; Jennifer Chynoweth; Isabella Wallington; Bronwyn Morris; Vikki Knott; Samantha Webster; Lauren Kinsella; John Condon; Helen Zorbas
Journal:  Int J Environ Res Public Health       Date:  2018-05-09       Impact factor: 3.390

10.  Cancer treatment and the risk of cancer death among Aboriginal and non-Aboriginal South Australians: analysis of a matched cohort study.

Authors:  David Banham; David Roder; Marion Eckert; Natasha J Howard; Karla Canuto; Alex Brown
Journal:  BMC Health Serv Res       Date:  2019-10-29       Impact factor: 2.655

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