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dc.contributor.authorChilundo, Baltazar
dc.contributor.authorSundby, Johanne
dc.contributor.authorAanestad, Margunn
dc.date.accessioned2015-10-09T02:13:34Z
dc.date.available2015-10-09T02:13:34Z
dc.date.issued2004
dc.identifier.citationMalaria Journal. 2004 Mar 03;3(1):3
dc.identifier.urihttp://hdl.handle.net/10852/46797
dc.description.abstractBackground In Mozambique, malaria is the principal cause of morbidity and mortality. Efforts are being made to increase control activities within communities. These activities require management decisions based on evidence of malaria incidence. Although some data generated are of poor quality, there is little research towards improving the reporting systems. Methods An analysis of the quality of routine malaria data was performed in selected districts in Southern Mozambique from August to September 2003. The aim was to assess the quality of the source data in terms of completeness, correctness and consistency across management levels. Results Analysis revealed primary data to be of poor quality. The diversity of reporting systems with limited coordination give rise to redundancies and wastage of resources. There was evidence of "invention" of data in health facilities contributing to an incorrect representation of malaria incidence. Large, "non-clinical", time-based variations of malaria cases due to reporting delays were also noted, contributing to false alerts of outbreaks. Furthermore, targets established in the national strategic plan for malaria cannot be calculated through the existing systems; this is the case, for example, for data related to pregnant women and children under-five years. Discussion and recommendations The existing reporting system for malaria is currently not satisfying the information needs of managers. It is suggested that one standardized system, including the creation of one form to include the essential variables required for the calculation of key indicators by age, gender and pregnancy status, and to establish a national database that maps malaria by location.
dc.language.isoeng
dc.rightsChilundo et al; licensee Biomed Central Ltd.
dc.rightsAttribution 2.0 Generic
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/
dc.titleAnalysing the quality of routine malaria data in Mozambique
dc.typeJournal article
dc.date.updated2015-10-09T02:13:34Z
dc.creator.authorChilundo, Baltazar
dc.creator.authorSundby, Johanne
dc.creator.authorAanestad, Margunn
dc.identifier.doihttp://dx.doi.org/10.1186/1475-2875-3-3
dc.identifier.urnURN:NBN:no-50977
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/46797/1/12936_2003_Article_69.pdf
dc.type.versionPublishedVersion
cristin.articleid3


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