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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; Janus, Edward D.
Afiliación
  • Abouzeid M; a Greater Green Triangle University Department of Rural Health , Flinders University and Deakin University , Warrnambool , VIC , Australia.
Ethn Health ; 19(4): 424-39, 2014 Aug.
Article en En | MEDLINE | ID: mdl-23961834
ABSTRACT

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, non-uniform 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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Etnicidad / Diversidad Cultural / Diabetes Mellitus Tipo 2 Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Límite: Humans País/Región como asunto: Oceania Idioma: En Revista: Ethn Health Asunto de la revista: CIENCIAS SOCIAIS / SAUDE PUBLICA Año: 2014 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Etnicidad / Diversidad Cultural / Diabetes Mellitus Tipo 2 Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Límite: Humans País/Región como asunto: Oceania Idioma: En Revista: Ethn Health Asunto de la revista: CIENCIAS SOCIAIS / SAUDE PUBLICA Año: 2014 Tipo del documento: Article País de afiliación: Australia