This report is an overview of published population-based stroke incidence studies and other relevant research in the multi-ethnic New Zealand population, with a particular emphasis on Mäori and Pacific populations. The researchers highlight the fact that the stroke epidemiology data are skewed unfavourably towards Mäori and Pacific people and they call upon health providers to introduce effective measures and delivery systems with urgency, in order to reverse this trend and improve Mäori and Pacific people’s health.
Ethnic disparities are well recognised for stroke rates, outcomes and care. This is true both internationally, as shown by the paper published in an international stroke journal, and in NZ. Stroke is common: 800 Mäori are admitted to hospital each year with stroke and 140 per year die from stroke. As part of the Cardiovascular Chapter in the latest ‘Hauora: Mäori Standards of Health’ book, the Stroke section not only provides up to date statistics but describes steps along the stroke care pathway where disparities occur and how they can be eliminated. This Chapter can be accessed at: http://www.hauora.maori.nz/downloads/ hauora_chapter08_web.pdf
Independent commentary by Dr. Matire Hardwood
Dr Matire Harwood (Ngapuhi) has worked in Hauora Māori, primary health and rehabilitation settings as clinician and researcher since graduating from Auckland Medical School in 1994. She also holds positions on a number of boards, committees and advisory groups including the Health Research Council. Matire lives in Auckland with her whānau including partner Haunui and two young children Te Rangiura and Waimarie.
Research Review publications are intended for New Zealand health professionals.
Disclaimer: This publication is not intended as a replacement for regular medical education but to assist in the process. The reviews are a summarised interpretation of the published study and reflect the opinion of the writer rather than those of the research group or scientific journal. It is suggested readers review the full trial data before forming a final conclusion on its merits.