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RESEARCH AND PRACTICE |
Mona Jeffreys, Lis Ellison-Loschmann, and Neil Pearce are with the Centre for Public Health Research, Massey University, Wellington, New Zealand. Vladimir Stevanovic and Chris Lewis are with the New Zealand Health Information Service, Wellington. Martin Tobias is with the Public Health Intelligence, Ministry of Health, Wellington. Tony Blakely is with the Department of Public Health, Wellington School of Medicine and Health Sciences, University of Otago, Wellington.
Correspondence: Requests for reprints should be sent to Mona Jeffreys, PhD, Centre for Public Health Research, Massey University, Private Bag 756, Wellington, New Zealand (e-mail: m.jeffreys{at}massey.ac.nz).
| ABSTRACT |
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We explored the contribution of stage at diagnosis to ethnic disparities in cancer survival in New Zealand. We linked 115811 adult patients with invasive cancer registered on the cancer registry (1994 to 2002) to mortality data. Age-standardized, 5-year relative survival rates were lowest for Maori, intermediate for Pacific people (otherwise known as Pacific Islanders), and highest for non-Maori/non-Pacific people for many cancers. Stage at diagnosis accounted for only part of these differences. Possible factors responsible for ethnic inequalities might include access to specialized cancer services and the quality of care received.
| INTRODUCTION |
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Since 1980, ethnic disparities in cancer mortality have widened.5 These inequalities cannot be explained by the differences in incidence6,7 and point to likely differences in access to and quality of health care.8 The few studies that have examined ethnic inequalities in cancer survival in New Zealand911 did not account for background (other cause) mortality rates. Our goal was to quantify the disparities and to estimate the magnitude of the contribution of stage of disease to these inequalities.
| METHODS |
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We used the National Health Index, which uniquely identifies health care users, to obtain mortality data to June 2003. We used a Maori, Pacific, non-Maori/non-Pacificprioritized system of assigning ethnicity12 that is based on hospitalization and health administration data, as is standard in New Zealand. Patients with missing ethnicity data (2.6%) were analyzed with the non-Maori/non-Pacific group.
We used SURV3 software13 to estimate relative survival rates (RSRs)14 and standard errors15,16 based on ethnic-specific life tables by single year of age (15 to 99 years) from the 1996 census. Survival probabilities were estimated at yearly intervals.
RSRs were directly standardized first for age (1544, 4554, 5564, 6574, and 7599 years) and then for disease stage (local, regional, distant spread).17 Pacific people were omitted from stage-standardized analyses because of their small numbers. We compared the age-standardized to the age- and stage-standardized Maori to non-Maori/non-Pacific RSR ratio to determine the contribution of stage to the survival inequalities.
| RESULTS |
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| DISCUSSION |
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Because cancer and death registration are mandatory, selective underascertainment is unlikely to explain the results. Using prioritized ethnicity, misclassification of Maori and Pacific ethnicity19 would underestimate the differences in survival between ethnic groups. Selective migration of terminally ill Pacific cancer patients to the Pacific would artificially inflate their survival rate, which may explain some of our results. Higher comorbidities in Maori, which could limit treatment options, might account for some of the observed differences.
Biological or genetic differences cannot account for ethnic differences in health.20 The unequal distribution of socioeconomic position by ethnicity may explain some, but probably not all,2123 of the survival differences. In the United States, similar outcomes are experienced by people of different ethnicities in equal-access settings24; in other settings, the quality of cancer treatment differs by ethnicity.8 Health care utilization by Maori is not proportional to the expected need,3 which suggests that Maori are medically under-served in New Zealand.25 Factors that influence the receipt of optimal health care include cost,26 access through the secondary care system,27,28 rurality,10 and cultural safety,29 including perceived attitudes of health workers and acceptability of health providers to Maori.3,28 Maori-led health services may provide more acceptable opportunities for appropriate care for some Maori.30
To tackle these documented inequalities, it is necessary to pinpoint where on the cancer continuum inequalities arise. Survival disparities also could be reduced by addressing structural and service barriers within the health sector and by ensuring a commitment, with sufficient funding, to strengthen the Maori and Pacific health workforces.
| Acknowledgments |
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We are indebted to the hard work of staff at the New Zealand Cancer Registry.
Note. Neither Lottery Health Research nor the Health Research Council of New Zealand had any involvement in the data collection, analysis, or writing of the brief.
Human Participant Protection
Formal protocol approval was not sought because the study involved only anonymous linkage between 2 databases.
| Footnotes |
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Contributors
M. Jeffreys, V. Stevanovic, and N. Pearce developed the study. C. Lewis and V. Stevanovic performed the linkage. V. Stevanovic and M. Jeffreys performed the data analyses. T. Blakely, M. Tobias, V. Stevanovic, and M. Jeffreys participated in initial discussions of the results. M. Jeffreys wrote the first draft. All authors contributed to subsequent drafts and the final brief. The discussions of indigenous health were contributed primarily by L. Ellison-Loschmann.
Accepted for publication December 11, 2004.
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