The potential for measuring ethnicity and health in a multicultural milieu - the case of type 2 diabetes in Australia

Abouzeid, Marian, Bhopal, Raj S., Dunbar, James A. and Janus, Edward D. 2013, The potential for measuring ethnicity and health in a multicultural milieu - the case of type 2 diabetes in Australia, Ethnicity & health, vol. 19, no. 4, pp. 1-16.

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Title The potential for measuring ethnicity and health in a multicultural milieu - the case of type 2 diabetes in Australia
Author(s) Abouzeid, Marian
Bhopal, Raj S.
Dunbar, James A.
Janus, Edward D.
Journal name Ethnicity & health
Volume number 19
Issue number 4
Start page 1
End page 16
Total pages 16
Publisher Routledge
Place of publication Oxford, England
Publication date 2013
ISSN 1355-7858
1465-3419
Keyword(s) Ethnicity
Measurement
Diabetes
Methodology
Summary Objective
Ethnicity influences health in many ways. For example, type 2 
diabetes (T2DM) is disproportionately prevalent among certain ethnic groups. Assessing ethnicity is difficult, and numerous proxy measures are used to capture its various components. Australian guidelines specify a set of variables for measuring ethnicity, and how such parameters should be categorised. Using T2DM data collections as an illustrative example, this study sought to examine how ethnicity is measured in Australian health databases and, by comparing current practice with Australia’s existing benchmark recommendations, to identify potential areas for improvement of the health data landscape.

Design
We identified databases containing information from which ethnic group-specific estimates of T2DM burden may be gleaned. For each database, details regarding ethnicity variables were extracted, and compared with the Australian guidelines. 

Results

Data collection instruments for 32 relevant databases were reviewed. Birthplace was recorded in 27 databases (84%), but mode of birthplace assessment varied. Indigenous status was commonly recorded (78%, n=25), but only nine databases recorded other aspects of self-perceived race/ethnicity. Of 28 survey/audit databases, 14 accommodated linguistic preferences other than English, and 11 either excluded non-English speakers or those for whom a translator was not available, or only offered questionnaires in English.

Conclusions

Considerable variation exists in the measurement of ethnicity in Australian health data- sets. While various markers of ethnicity provide complementary information about the ethnic profile within a data-set, nonuniform measurement renders comparison between data-sets difficult. A standardised approach is necessary, and identifying the ethnicity variables that are particularly relevant to the health sector is warranted. Including self identified ethnicity in Australia’s set of recommended indicators and as a core component of the national census should be considered. Globalisation and increasing migration mean that these findings have implications internationally, including for multi-ethnic countries throughout North America and Europe.
Language eng
Field of Research 111717 Primary Health Care
Socio Economic Objective 920104 Diabetes
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2013
Persistent URL http://hdl.handle.net/10536/DRO/DU:30055889

Document type: Journal Article
Collections: Population Health
PVC's Office - Health
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