How many cancer deaths could New Zealand avoid if five-year relative survival ratios were the same as in Australia?

Aust N Z J Public Health. 2015 Apr;39(2):157-61. doi: 10.1111/1753-6405.12344. Epub 2015 Feb 25.

Abstract

Aim: To determine how many Māori and non-Māori deaths might have been avoidable if cancer survival in New Zealand were as high as in Australia.

Methods: Age-sex-tumour specific five-year relative survival ratios were calculated for cancer patients diagnosed with 27 tumour sites (representing about 92% of all cancers) in 2006-10. These were used to estimate the number of Māori, non-Māori and total deaths (and proportion of excess deaths) that would have been avoidable within five years of diagnosis had New Zealand's relative survival been equivalent to Australia's.

Results: A total of 3,631 cancer deaths (726/year; 13.4% of excess deaths) could have been avoidable. Among 25 tumours where ethnic-specific results were estimated, there were 851 potentially avoidable deaths in Māori (24.9%) and 2,758 in non-Māori (11.8%). Breast, bowel, lung and prostate tumours made up 64% of avoidable deaths. Those with the highest proportions of avoidable deaths were thyroid (44.7%), prostate (35.5%), breast (30.0%) and uterus (23.5%). More than 50% of Māori melanoma, prostate, testis and thyroid cancer deaths were avoidable.

Conclusion: A significant number of cancer deaths could be avoidable if New Zealand achieved Australia's relative survival ratios. The proportion is much higher for Māori than for non-Māori.

Implications: There is considerable scope to improve cancer outcomes in New Zealand.

Keywords: Māori; New Zealand; avoidable mortality; cancer; relative survival.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Australia / epidemiology
  • Ethnicity / statistics & numerical data
  • Female
  • Humans
  • Incidence
  • Life Tables
  • Male
  • Middle Aged
  • Neoplasms / ethnology*
  • Neoplasms / mortality*
  • New Zealand / epidemiology
  • Population Surveillance
  • Survival Analysis
  • Survival Rate
  • Time Factors
  • Treatment Outcome