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    Variable effects of prevalence-correction of population denominators on differentials in myocardial infarction incidence: a record linkage study in Aboriginal and non-Aboriginal Western Australians

    Access Status
    Fulltext not available
    Authors
    Katzenellenbogen, Judith
    Sanfilippo, F.
    Hobbs, M.
    Briffa, T.
    Ridout, S.
    Knuiman, M.
    Dimer, L.
    Taylor, Kate
    Thompson, P.
    Thompson, Sandra
    Date
    2010
    Type
    Journal Article
    
    Metadata
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    Citation
    Katzenellenbogen, Judith M. and Sanfilippo, Frank M. and Hobbs, Michael S.T. and Briffa, Tom G. and Ridout, Steve C. and Knuiman, Matthew W. and Dimer, Lyn and Taylor, Kate P. and Thompson, Peter L. and Thompson, Sandra C. 2011. Variable effects of prevalence correction of population denominators on differentials in myocardial infarction incidence: a record linkage study in Aboriginal and non-Aboriginal Western Australians. Journal of Clinical Epidemiology. 64 (6): pp. 658-666.
    Source Title
    Journal of Clinical Epidemiology
    DOI
    10.1016/j.jclinepi.2010.08.008
    ISSN
    08954356
    School
    Centre for International Health (Curtin Research Centre)
    URI
    http://hdl.handle.net/20.500.11937/29565
    Collection
    • Curtin Research Publications
    Abstract

    Objectives. To investigate the impact of prevalence correction of population denominators on myocardial infarction (MI) incidence rates, rate ratios, and rate differences in Aboriginal vs. non-Aboriginal Western Australians aged 25–74 years during the study period 2000–2004.Study Design and Setting. Person-based linked hospital and mortality data sets were used to estimate the number of prevalent and first-ever MI cases each year from 2000 to 2004 using a 15-year look-back period. Age-specific and -standardized MI incidence rates were calculated using both prevalence-corrected and -uncorrected population denominators, by sex and Aboriginality.Results. The impact of prevalence correction on rates increased with age, was higher for men than women, and substantially greater for Aboriginal than non-Aboriginal people. Despite the systematic underestimation of incidence, prevalence correction had little impact on the Aboriginal to non-Aboriginal age-standardized rate ratios (6% and 4% underestimate in men and women, respectively), although the impact on rate differences was more marked (12% and 6%, respectively). The percentage underestimate of differentials was greater at older ages. Conclusion. Prevalence correction of denominators, while more accurate, is difficult to apply and may add modestly to the quantification of relative disparities in MI incidence between populations. Absolute incidence disparities using uncorrected denominators may have an error >10%.

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