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    Large-scale data reporting of paediatric morbidity and mortality in developing countries: it can be done

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    Author
    Duke, T; Yano, E; Hutchinson, A; Hwaihwanje, I; Aipit, J; Tovilu, M; Uluk, T; Rongap, T; Vetuna, B; Lagani, W; ...
    Date
    2016-04-01
    Source Title
    Archives of Disease in Childhood
    Publisher
    BMJ PUBLISHING GROUP
    University of Melbourne Author/s
    Duke, Trevor
    Affiliation
    Paediatrics (RCH)
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Duke, T., Yano, E., Hutchinson, A., Hwaihwanje, I., Aipit, J., Tovilu, M., Uluk, T., Rongap, T., Vetuna, B., Lagani, W. & Amini, J. (2016). Large-scale data reporting of paediatric morbidity and mortality in developing countries: it can be done. ARCHIVES OF DISEASE IN CHILDHOOD, 101 (4), pp.392-397. https://doi.org/10.1136/archdischild-2015-309353.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/258992
    DOI
    10.1136/archdischild-2015-309353
    Abstract
    Although the WHO recommends all countries use International Classification of Diseases (ICD)-10 coding for reporting health data, accurate health facility data are rarely available in developing or low and middle income countries. Compliance with ICD-10 is extremely resource intensive, and the lack of real data seriously undermines evidence-based approaches to improving quality of care and to clinical and public health programme management. We developed a simple tool for the collection of accurate admission and outcome data and implemented it in 16 provincial hospitals in Papua New Guinea over 6 years. The programme was low cost and easy to use by ward clerks and nurses. Over 6 years, it gathered data on the causes of 96,998 admissions of children and 7128 deaths. National reports on child morbidity and mortality were produced each year summarising the incidence and mortality rates for 21 common conditions of children and newborns, and the lessons learned for policy and practice. These data informed the National Policy and Plan for Child Health, triggered the implementation of a process of clinical quality improvement and other interventions to reduce mortality in the neediest areas, focusing on diseases with the highest burdens. It is possible to collect large-scale data on paediatric morbidity and mortality, to be used locally by health workers who gather it, and nationally for improving policy and practice, even in very resource-limited settings where ICD-10 coding systems such as those that exist in some high-income countries are not feasible or affordable.

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