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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Health information systems in Africa: descriptive analysis of data sources, information products and health statistics</title><author><name sortKey="Mbondji, Peter Ebongue" sort="Mbondji, Peter Ebongue" uniqKey="Mbondji P" first="Peter Ebongue" last="Mbondji">Peter Ebongue Mbondji</name></author><author><name sortKey="Kebede, Derege" sort="Kebede, Derege" uniqKey="Kebede D" first="Derege" last="Kebede">Derege Kebede</name></author><author><name sortKey="Soumbey Alley, Edoh William" sort="Soumbey Alley, Edoh William" uniqKey="Soumbey Alley E" first="Edoh William" last="Soumbey-Alley">Edoh William Soumbey-Alley</name></author><author><name sortKey="Zielinski, Chris" sort="Zielinski, Chris" uniqKey="Zielinski C" first="Chris" last="Zielinski">Chris Zielinski</name></author><author><name sortKey="Kouvividila, Wenceslas" sort="Kouvividila, Wenceslas" uniqKey="Kouvividila W" first="Wenceslas" last="Kouvividila">Wenceslas Kouvividila</name></author><author><name sortKey="Lusamba Dikassa, Paul Samson" sort="Lusamba Dikassa, Paul Samson" uniqKey="Lusamba Dikassa P" first="Paul-Samson" last="Lusamba-Dikassa">Paul-Samson Lusamba-Dikassa</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24914127</idno><idno type="pmc">4109358</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4109358</idno><idno type="RBID">PMC:4109358</idno><idno type="doi">10.1177/0141076814531750</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">001711</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001711</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Health information systems in Africa: descriptive analysis of data sources, information products and health statistics</title><author><name sortKey="Mbondji, Peter Ebongue" sort="Mbondji, Peter Ebongue" uniqKey="Mbondji P" first="Peter Ebongue" last="Mbondji">Peter Ebongue Mbondji</name></author><author><name sortKey="Kebede, Derege" sort="Kebede, Derege" uniqKey="Kebede D" first="Derege" last="Kebede">Derege Kebede</name></author><author><name sortKey="Soumbey Alley, Edoh William" sort="Soumbey Alley, Edoh William" uniqKey="Soumbey Alley E" first="Edoh William" last="Soumbey-Alley">Edoh William Soumbey-Alley</name></author><author><name sortKey="Zielinski, Chris" sort="Zielinski, Chris" uniqKey="Zielinski C" first="Chris" last="Zielinski">Chris Zielinski</name></author><author><name sortKey="Kouvividila, Wenceslas" sort="Kouvividila, Wenceslas" uniqKey="Kouvividila W" first="Wenceslas" last="Kouvividila">Wenceslas Kouvividila</name></author><author><name sortKey="Lusamba Dikassa, Paul Samson" sort="Lusamba Dikassa, Paul Samson" uniqKey="Lusamba Dikassa P" first="Paul-Samson" last="Lusamba-Dikassa">Paul-Samson Lusamba-Dikassa</name></author></analytic><series><title level="j">Journal of the Royal Society of Medicine</title><idno type="ISSN">0141-0768</idno><idno type="eISSN">1758-1095</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Objective</title><p>To identify key data sources of health information and describe their availability in countries of the World Health Organization (WHO) African Region.</p></sec><sec><title>Methods</title><p>An analytical review on the availability and quality of health information data sources in countries; from experience, observations, literature and contributions from countries.</p></sec><sec><title>Setting</title><p>Forty-six Member States of the WHO African Region.</p></sec><sec><title>Participants</title><p>No participants.</p></sec><sec><title>Main outcome measures</title><p>The state of data sources, including censuses, surveys, vital registration and health care facility-based sources.</p></sec><sec><title>Results</title><p>In almost all countries of the Region, there is a heavy reliance on household surveys for most indicators, with more than 121 household surveys having been conducted in the Region since 2000. Few countries have civil registration systems that permit adequate and regular tracking of mortality and causes of death. Demographic surveillance sites function in several countries, but the data generated are not integrated into the national health information system because of concerns about representativeness. Health management information systems generate considerable data, but the information is rarely used because of concerns about bias, quality and timeliness. To date, 43 countries in the Region have initiated Integrated Disease Surveillance and Response.</p></sec><sec><title>Conclusions</title><p>A multitude of data sources are used to track progress towards health-related goals in the Region, with heavy reliance on household surveys for most indicators. Countries need to develop comprehensive national plans for health information that address the full range of data needs and data sources and that include provision for building national capacities for data generation, analysis, dissemination and use.</p></sec></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">J R Soc Med</journal-id><journal-id journal-id-type="iso-abbrev">J R Soc Med</journal-id><journal-id journal-id-type="publisher-id">JRS</journal-id><journal-id journal-id-type="hwp">spjrs</journal-id><journal-title-group><journal-title>Journal of the Royal Society of Medicine</journal-title></journal-title-group><issn pub-type="ppub">0141-0768</issn><issn pub-type="epub">1758-1095</issn><publisher><publisher-name>SAGE Publications</publisher-name><publisher-loc>Sage UK: London, England</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">24914127</article-id><article-id pub-id-type="pmc">4109358</article-id><article-id pub-id-type="doi">10.1177/0141076814531750</article-id><article-id pub-id-type="publisher-id">10.1177_0141076814531750</article-id><article-categories><subj-group subj-group-type="heading"><subject>Publication of this supplement was funded by the World Health Organization Regional Office for Africa</subject><subj-group subj-group-type="heading"><subject>Research</subject></subj-group></subj-group></article-categories><title-group><article-title>Health information systems in Africa: descriptive analysis of data sources, information products and health statistics</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Mbondji</surname><given-names>Peter Ebongue</given-names></name><xref ref-type="corresp" rid="corresp1-0141076814531750"></xref></contrib><contrib contrib-type="author"><name><surname>Kebede</surname><given-names>Derege</given-names></name></contrib><contrib contrib-type="author"><name><surname>Soumbey-Alley</surname><given-names>Edoh William</given-names></name></contrib><contrib contrib-type="author"><name><surname>Zielinski</surname><given-names>Chris</given-names></name></contrib><contrib contrib-type="author"><name><surname>Kouvividila</surname><given-names>Wenceslas</given-names></name></contrib><contrib contrib-type="author"><name><surname>Lusamba-Dikassa</surname><given-names>Paul-Samson</given-names></name></contrib></contrib-group><aff id="aff1-0141076814531750">World Health Organization Regional Office for Africa, PO Box 6, Brazzaville, Congo</aff><author-notes><corresp id="corresp1-0141076814531750"><bold>Corresponding author:</bold> Peter Ebongue Mbondji. Email: <email>mbondjiebonguep@who.int</email></corresp></author-notes><pub-date pub-type="epub-ppub"><month>5</month><year>2014</year></pub-date><pmc-comment>Fake ppub date generated by PMC from publisher
pub-date/@pub-type='epub-ppub' </pmc-comment>
<pub-date pub-type="ppub"><month>5</month><year>2014</year></pub-date><volume>107</volume><issue>1 Suppl</issue><issue-title>Narrowing the knowledge gap in sub-Saharan Africa</issue-title><fpage>34</fpage><lpage>45</lpage><permissions><copyright-statement>© WHO Regional Office for Africa</copyright-statement><copyright-year>2014</copyright-year><copyright-holder content-type="society">The Royal Society of Medicine</copyright-holder></permissions><abstract><sec><title>Objective</title><p>To identify key data sources of health information and describe their availability in countries of the World Health Organization (WHO) African Region.</p></sec><sec><title>Methods</title><p>An analytical review on the availability and quality of health information data sources in countries; from experience, observations, literature and contributions from countries.</p></sec><sec><title>Setting</title><p>Forty-six Member States of the WHO African Region.</p></sec><sec><title>Participants</title><p>No participants.</p></sec><sec><title>Main outcome measures</title><p>The state of data sources, including censuses, surveys, vital registration and health care facility-based sources.</p></sec><sec><title>Results</title><p>In almost all countries of the Region, there is a heavy reliance on household surveys for most indicators, with more than 121 household surveys having been conducted in the Region since 2000. Few countries have civil registration systems that permit adequate and regular tracking of mortality and causes of death. Demographic surveillance sites function in several countries, but the data generated are not integrated into the national health information system because of concerns about representativeness. Health management information systems generate considerable data, but the information is rarely used because of concerns about bias, quality and timeliness. To date, 43 countries in the Region have initiated Integrated Disease Surveillance and Response.</p></sec><sec><title>Conclusions</title><p>A multitude of data sources are used to track progress towards health-related goals in the Region, with heavy reliance on household surveys for most indicators. Countries need to develop comprehensive national plans for health information that address the full range of data needs and data sources and that include provision for building national capacities for data generation, analysis, dissemination and use.</p></sec></abstract><kwd-group><kwd>health information in Africa</kwd><kwd>health information system</kwd><kwd>data sources</kwd><kwd>information products</kwd><kwd>health statistics</kwd></kwd-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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