Evidence map›Paper›PMID 40694207›Full record

ArticleCancer causes & control : CCC2025

Disparities in time to breast cancer surgery in New Zealand by level of neighbourhood deprivation: a population-based study.

Leah Boyle, Olivia M Parker, Sandar Tin Tin

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Article in Cancer causes & control : CCC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Leah BoyleDepartment of General Surgery, Hutt Hospital, Wellington, New Zealand. leahimogenboyle@gmail.com.
Olivia M ParkerWellington Hospital Intensive Care Unit, Wellington, New Zealand.
Sandar Tin TinCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Funding

Health Research Council of New Zealand 23/051
6 · The paper itself

Abstract

purposeThe New Zealand (NZ) Faster Cancer Treatment (FCT) plan aims for equitable cancer treatment irrespective of sociodemographic factors. Research on its impact on breast cancer surgery times is limited. This study evaluates whether (1) there are differences by level of neighbourhood deprivation in time to surgery in women with early-stage (1-3a) breast cancer in NZ between 2000 and 2020 and (2) whether this association differs pre- and post- FCT implementation.

methodsThis retrospective analysis used Te Rēhita Mate Ūtaetae (NZ Breast Cancer Foundation National Register), a prospectively maintained national database of breast cancers. Logistic regression models evaluated differences by neighbourhood deprivation in time to surgery beyond 31 days (defined in the FCT as the longest acceptable delay in time to first treatment). Deprivation was measured using the NZ Deprivation (NZDep) Index, an area-based measure of socioeconomic deprivation in deciles (decile 1 = least deprived to decile 10 = most deprived) categorised into quintiles. Models were adjusted sequentially for potential contributing factors across five domains; demographic [age, ethnicity, urban or rural place of residence], mode of diagnosis [screening programme or symptomatic], tumour [stage, grade, receptors], treatment facility type [public/private hospital] and treatment [locoregional and systemic]. Subgroup analysis by pre- and post-FCT implementation date were undertaken.

resultsOf the 20,322 women included in the analysis, 23.5% were in the least deprived neighborhoods (NZDep index 1-2) and 13.8% were in the most deprived neighborhoods (NZDep index 9-10) and 22.3% 21.0% 19.5% were in 3-4, 5-6 and 7-8, respectively. Overall, 73% of the women were NZ European, 10% Māori (indigenous NZ people), 7% Pacific (from the Pacific islands) and 10% were Asian. In the unadjusted model, compared to the least deprived quintile, all other NZDep index quintiles were more likely to experience delay beyond 31 days. In the maximally adjusted model, compared to the least deprived quintile, only women in the most deprived quintile were more likely to experience delay in time to surgery > 31 days (OR 1.31; 95% CI: 1.17, 1.47). Key contributing factors to this reduction in OR were ethnicity and treatment facility type. A marginal but non-significant reduction in time to surgery was observed in the post-FCT period.

conclusionWomen residing in more deprived neighborhoods experienced greater delay in time to breast cancer surgery. Despite FCT implementation, urgent action is still needed to reduce inequities by deprivation in timely access to breast cancer surgery.

Indexed as

Breast NeoplasmsHealthcare DisparitiesNeighborhood CharacteristicsTime-to-TreatmentAdultAgedFemaleHumansMiddle AgedNew ZealandResidence CharacteristicsRetrospective StudiesSocioeconomic FactorsBreast cancerDelayDeprivationInequitiesSurgery

Identifiers

PMID40694207
PMCPMC12578680

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.