Challenges of collecting and interpreting data using the concepts of ethnicity and race
Challenges of collecting and interpreting data using the concepts of ethnicity and race
This chapter argues that collecting data by race or ethnicity is difficult, and requires both excellent information systems and excellent communications and understanding between data providers and data holders. The choice of classification should be driven by the purposes to which the data are to be put, though pragmatism will be essential. Topics discussed include why collecting ethnicity or race within health data systems and health research is justifiable; relationships between concepts, classifications, and methods of data collection on ethnicity and race; strengths and weakness of alternatives methods for collection of ethnic code data; and explanations for similarities and differences in health states by ethnic or racial group.
Keywords: data collection, ethnic groups, minority groups, classifications, public health
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