The New Zealand medical journal · 2007
The accuracy of ethnicity data in primary care.
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Bramley Dale, Latimer Sandy
Аннотация
AIM: To investigate the accuracy of ethnicity data held in Primary Health Organisation (PHO) registers within the Waitemata district of Auckland, New Zealand.
METHOD: Ethnicity data of school-aged children on the National Immunisation Register (NIR) were compared to ethnicity data for those children on the PHO register. NIR data were collected from parents via a protocol-based informed consent process in the Meningococcal B Immunisation Campaign.
RESULTS: For children classified as Maori on the NIR, 62.9% were recorded as Maori on the PHO register, 23.3% were misclassified as European, and a further 9.6% were misclassified as Unknown. For children classified as Pacific on the NIR, 77.2% were recorded as Pacific on the PHO register, 9.4% were misclassified as European, and 6.2% were misclassified as Unknown. For children classified as Asian on the NIR, 81.4% were recorded as Asian on the PHO register, 9.9% were misclassified as Unknown, and 6.0% misclassified as European. For children classified as European on the NIR, 83.2% were recorded as European on the PHO register and 14.4% were misclassified as Unknown.
CONCLUSIONS: This study reveals that ongoing efforts to improve the accuracy of ethnicity data held in PHO registers within the Waitemata district are required. The study reinforces the need for a standardised, systematic and appropriate sector-wide approach to ethnicity data collection.
METHOD: Ethnicity data of school-aged children on the National Immunisation Register (NIR) were compared to ethnicity data for those children on the PHO register. NIR data were collected from parents via a protocol-based informed consent process in the Meningococcal B Immunisation Campaign.
RESULTS: For children classified as Maori on the NIR, 62.9% were recorded as Maori on the PHO register, 23.3% were misclassified as European, and a further 9.6% were misclassified as Unknown. For children classified as Pacific on the NIR, 77.2% were recorded as Pacific on the PHO register, 9.4% were misclassified as European, and 6.2% were misclassified as Unknown. For children classified as Asian on the NIR, 81.4% were recorded as Asian on the PHO register, 9.9% were misclassified as Unknown, and 6.0% misclassified as European. For children classified as European on the NIR, 83.2% were recorded as European on the PHO register and 14.4% were misclassified as Unknown.
CONCLUSIONS: This study reveals that ongoing efforts to improve the accuracy of ethnicity data held in PHO registers within the Waitemata district are required. The study reinforces the need for a standardised, systematic and appropriate sector-wide approach to ethnicity data collection.