2017
DOI: 10.14236/jhi.v23i4.920
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Ethnicity Recording in Primary Care Computerised Medical Record Systems: An Ontological Approach

Abstract: Background Ethnicity recording within primary care computerised medical record (CMR) systems is suboptimal, exacerbated by tangled taxonomies within current coding systems. Objective To develop a method for extending ethnicity identification using routinely collected data. Methods We used an ontological method to maximise the reliability and prevalence of ethnicity information in the Royal College of General Practitioner's Research and Surveillance database. Clinical codes were either directly mapped to ethnic… Show more

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Cited by 58 publications
(55 citation statements)
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“…Ethnicity was characterised using an established ontological approach: a combination of recorded ethnicity and information which infers ethnicity (such as language). 25 Socioeconomic status (SES) was determined using the Index of Multiple Deprivation (IMD—the official UK SES measure) from each patient’s postal code, 26 which we also have the capability to map to geocoordinate.…”
Section: Methodsmentioning
confidence: 99%
“…Ethnicity was characterised using an established ontological approach: a combination of recorded ethnicity and information which infers ethnicity (such as language). 25 Socioeconomic status (SES) was determined using the Index of Multiple Deprivation (IMD—the official UK SES measure) from each patient’s postal code, 26 which we also have the capability to map to geocoordinate.…”
Section: Methodsmentioning
confidence: 99%
“…Ethnicity (white ethnicity was reference, and we divided into Asian (A), black (B), mixed (M), other (O), and unclassified (U) ethnicities) [ 15 ]…”
Section: Methodsmentioning
confidence: 99%
“…We directly standardised AGE rates by age and gender, using the 2011 national census population [17], we reported rates per 100,000. Ethnicity recording was maximised using an ontological approach [18]. We used Index of Multiple Deprivation (IMD) quintile as a measure of deprivation, this is the National measure of small area socioeconomic status [19].…”
Section: Definition and Statistical Analysis Of Household Incidencementioning
confidence: 99%