Literature DB >> 32948632

Association between Receipt of Guideline-Concordant Lung Cancer Treatment and Individual- and Area-Level Factors: A Spatio-Temporal Analysis.

Win Wah1, Rob G Stirling2,3, Susannah Ahern4, Arul Earnest4.   

Abstract

BACKGROUND: Guideline-concordant treatment (GCT) of lung cancer has been observed to vary across geographic regions over the years. However, there is little evidence as to what extent this variation is explained by differences in patients' clinical characteristics versus contextual factors, including socioeconomic inequalities.
METHODS: This study evaluated the independent effects of individual- and area-level risk factors on geographic and temporal variation in receipt of GCT among patients with lung cancer. Receipt of GCT was defined on the basis of the National Comprehensive Cancer Network guidelines. We used Bayesian spatial-temporal multilevel models to combine individual and areal predictors and outcomes while accounting for geographically structured and unstructured correlation and linear and nonlinear trends.
RESULTS: Our study included 4,854 non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) cases, reported to the Victorian Lung Cancer Registry between 2011 and 2018. Area-level data comprised socioeconomic disadvantage and remoteness data at the local government area level in Victoria, Australia. Around 60.36% of patients received GCT, and the rates varied across geographic areas over time. This variation was mainly associated with poor performance status, advanced clinical stages, NSCLC types, public hospital insurance, area-level deprivation, and comorbidities.
CONCLUSIONS: This study highlights the need to address disparities in receipt of GCT among patients with lung cancer with poor performance status, NSCLC, advanced clinical stage, stage I-III SCLC, stage III NSCLC, public hospital insurance, and comorbidities, and living in socioeconomically disadvantaged areas. IMPACT: Two-year mortality outcomes significantly improved with GCT. Interventions aimed at reducing these inequalities could help to improve lung cancer outcomes. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 32948632     DOI: 10.1158/1055-9965.EPI-20-0709

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  2 in total

1.  Hospital-based multidisciplinary lung cancer care in Australia: a survey of the landscape in 2021.

Authors:  Fraser J H Brims; Chellan Kumarasamy; Jessica Nash; Tracy L Leong; Emily Stone; Henry M Marshall
Journal:  BMJ Open Respir Res       Date:  2022-01

2.  Development of an Australia and New Zealand Lung Cancer Clinical Quality Registry: a protocol paper.

Authors:  Shantelle Smith; Margaret Brand; Susan Harden; Lisa Briggs; Lillian Leigh; Fraser Brims; Mark Brooke; Vanessa N Brunelli; Collin Chia; Paul Dawkins; Ross Lawrenson; Mary Duffy; Sue Evans; Tracy Leong; Henry Marshall; Dainik Patel; Nick Pavlakis; Jennifer Philip; Nicole Rankin; Nimit Singhal; Emily Stone; Rebecca Tay; Shalini Vinod; Morgan Windsor; Gavin M Wright; David Leong; John Zalcberg; Rob G Stirling
Journal:  BMJ Open       Date:  2022-08-29       Impact factor: 3.006

  2 in total

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