How differing methods of ascribing ethnicity and socio-economic status affect risk estimates for hospitalisation with infectious disease.

ABSTRACT: Significant ethnic and socio-economic disparities exist in infectious diseases (IDs) rates in New Zealand, so accurate measures of these characteristics are required. This study compared methods of ascribing ethnicity and socio-economic status. Children in the Growing Up in New Zealand longitudinal cohort were ascribed to self-prioritised, total response and single-combined ethnic groups. Socio-economic status was measured using household income, and both census-derived and survey-derived deprivation indices. Rates of ID hospitalisation were compared using linked administrative data. Self-prioritised ethnicity was simplest to use. Total response accounted for mixed ethnicity and allowed overlap between groups. Single-combined ethnicity required aggregation of small groups to maintain power

SUBMITTER: Hobbs MR 

PROVIDER: S-EPMC6518588 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature