作者: Tim Kenealy , Dale Bramley , Sue Wells , Rod Jackson , Sue Crengle
DOI:
关键词: Concordance 、 Family medicine 、 Randomized controlled trial 、 Demography 、 Ethnic group 、 Primary care 、 Medicine 、 Census 、 MEDLINE 、 Risk assessment 、 Medical record
摘要: Background Accurate ethnicity data are a prerequisite for evidence-based cardiovascular risk assessment and management according to national guidelines. Aims (i) To investigate the accuracy of in primary care medical records by comparing them with self-identified ethnicity. (ii) determine clinical impact misclassification on management. Methods A random sample 870 patients from 18 general practices (who had collected their record as part using PREDICT, web-based decision support tool) were sent postal questionnaire asking 2001 Census question. Results Data available 665 people (77% response rate) who completed questionnaire. Ethnicity identical 68% respondents at Statistics New Zealand Level 2 coding. concordance varied 9.8% non-New European ethnic group 90.9% European. The agreed 64.9% Maori respondents. Fortunately, when same categorised prioritisation rules applied within which adds weighting Maori, Pacific, Indian subcontinent peoples, was small. main reason that about half misclassifications occurred between groups classified high category. For 6% our study this could potentially have delayed resulted under-treatment. In contrast, 1.5% those other ethnicities may undergone premature been over-treated. Conclusion is modest because much does not alter classification. Nevertheless, efforts improve classification need continue order sector's ability monitor health service utilisation, outcomes, performance related indicators.