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    Disparities in child mortality trends in two new states of India.

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    Author
    Minnery, M; Jimenez-Soto, E; Firth, S; Nguyen, K-H; Hodge, A
    Date
    2013-08-27
    Source Title
    BMC Public Health
    Publisher
    Springer Science and Business Media LLC
    University of Melbourne Author/s
    Firth, Sonja
    Affiliation
    Melbourne School of Population and Global Health
    Metadata
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    Document Type
    Journal Article
    Citations
    Minnery, M., Jimenez-Soto, E., Firth, S., Nguyen, K. -H. & Hodge, A. (2013). Disparities in child mortality trends in two new states of India.. BMC Public Health, 13 (1), pp.779-. https://doi.org/10.1186/1471-2458-13-779.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/254860
    DOI
    10.1186/1471-2458-13-779
    Open Access at PMC
    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765884
    Abstract
    BACKGROUND: India has the world's highest total number of under-five deaths of any nation. While progress towards Millennium Development Goal 4 has been documented at the state level, little information is available for greater disaggregation of child health markers within states. In 2000, new states were created within the country as a partial response to political pressures. State-level information on child health trends in the new states of Chhattisgarh and Jharkhand is scarce. To fill this gap, this article examines under-five and neonatal mortality across various equity markers within these two new states, pre-and post-split. METHODS: Both direct and indirect estimation using pooled data from five available sources were undertaken. Inter-population disparities were evaluated by mortality data stratification of rural-urban location, ethnicity, wealth and districts. RESULTS: Both states experienced an overall reduction in under-five and neonatal mortality, however, this has stagnated post-2001 and various disparities persist. In cases where disparities have declined, such as between urban-rural populations and low- and high-income groups, this has been driven by modest declines within the disadvantaged groups (i.e. low-income rural households) and stagnation or worsening of outcomes within the advantaged groups. Indeed, rising trends in mortality are most prevalent in urban middle-income households. CONCLUSIONS: The results suggest that rural health improvements may have come at the expense of urban areas, where poor performance may be attributed to factors such as lack of access to quality private health facilities. In addition, the disparities may in part be associated with geographical access, traditional practices and district-level health resource allocation.

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