Cohort analysis of antenatal care and delivery outcomes in pregnancy: a basis for improving maternal health.
Identifieur interne : 002860 ( PubMed/Corpus ); précédent : 002859; suivant : 002861Cohort analysis of antenatal care and delivery outcomes in pregnancy: a basis for improving maternal health.
Auteurs : A D Harries ; A. Jahn ; A. Ben-Smith ; O J Gadabu ; G P Douglas ; A. Seita ; A. Khader ; R. ZachariahSource :
- Public health action [ 2220-8372 ] ; 2014.
Abstract
Cohort analysis has been the cornerstone of tuberculosis (TB) monitoring and evaluation for nearly two decades; these principles have been adapted for patients with the human immunodeficiency virus/acquired immune-deficiency syndrome on antiretroviral treatment and patients with diabetes mellitus and hypertension. We now make the case for using cohort analyses for monitoring pregnant women during antenatal care, up to and including childbirth. We believe that this approach would strengthen the current monitoring and evaluation systems used in antenatal care by providing more precise information at regular time intervals. Accurate real-time data on how many pregnant women are enrolled in antenatal care, their characteristics, the interventions they are receiving and the outcomes for mother and child should provide a solid basis for action to reduce maternal mortality.
DOI: 10.5588/pha.13.0103
PubMed: 26399202
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Ben-Smith</name><affiliation><nlm:affiliation>Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Gadabu, O J" sort="Gadabu, O J" uniqKey="Gadabu O" first="O J" last="Gadabu">O J Gadabu</name><affiliation><nlm:affiliation>Baobab Health Trust, Lilongwe, Malawi.</nlm:affiliation></affiliation></author><author><name sortKey="Douglas, G P" sort="Douglas, G P" uniqKey="Douglas G" first="G P" last="Douglas">G P Douglas</name><affiliation><nlm:affiliation>Center for Health Informatics for the Underserved, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Seita, A" sort="Seita, A" uniqKey="Seita A" first="A" last="Seita">A. Seita</name><affiliation><nlm:affiliation>United Nations Relief and Works Agency for Palestine Refugees in the Near East, UNRWA Headquarters, Amman, Jordan.</nlm:affiliation></affiliation></author><author><name sortKey="Khader, A" sort="Khader, A" uniqKey="Khader A" first="A" last="Khader">A. Khader</name><affiliation><nlm:affiliation>United Nations Relief and Works Agency for Palestine Refugees in the Near East, UNRWA Headquarters, Amman, Jordan.</nlm:affiliation></affiliation></author><author><name sortKey="Zachariah, R" sort="Zachariah, R" uniqKey="Zachariah R" first="R" last="Zachariah">R. 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Ben-Smith</name><affiliation><nlm:affiliation>Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Gadabu, O J" sort="Gadabu, O J" uniqKey="Gadabu O" first="O J" last="Gadabu">O J Gadabu</name><affiliation><nlm:affiliation>Baobab Health Trust, Lilongwe, Malawi.</nlm:affiliation></affiliation></author><author><name sortKey="Douglas, G P" sort="Douglas, G P" uniqKey="Douglas G" first="G P" last="Douglas">G P Douglas</name><affiliation><nlm:affiliation>Center for Health Informatics for the Underserved, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Seita, A" sort="Seita, A" uniqKey="Seita A" first="A" last="Seita">A. Seita</name><affiliation><nlm:affiliation>United Nations Relief and Works Agency for Palestine Refugees in the Near East, UNRWA Headquarters, Amman, Jordan.</nlm:affiliation></affiliation></author><author><name sortKey="Khader, A" sort="Khader, A" uniqKey="Khader A" first="A" last="Khader">A. Khader</name><affiliation><nlm:affiliation>United Nations Relief and Works Agency for Palestine Refugees in the Near East, UNRWA Headquarters, Amman, Jordan.</nlm:affiliation></affiliation></author><author><name sortKey="Zachariah, R" sort="Zachariah, R" uniqKey="Zachariah R" first="R" last="Zachariah">R. Zachariah</name><affiliation><nlm:affiliation>Médecins Sans Frontières, Medical Department, Brussels Operational Centre, MSF-Luxembourg, Luxembourg.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Public health action</title><idno type="ISSN">2220-8372</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Cohort analysis has been the cornerstone of tuberculosis (TB) monitoring and evaluation for nearly two decades; these principles have been adapted for patients with the human immunodeficiency virus/acquired immune-deficiency syndrome on antiretroviral treatment and patients with diabetes mellitus and hypertension. We now make the case for using cohort analyses for monitoring pregnant women during antenatal care, up to and including childbirth. We believe that this approach would strengthen the current monitoring and evaluation systems used in antenatal care by providing more precise information at regular time intervals. Accurate real-time data on how many pregnant women are enrolled in antenatal care, their characteristics, the interventions they are receiving and the outcomes for mother and child should provide a solid basis for action to reduce maternal mortality.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">26399202</PMID><DateCreated><Year>2015</Year><Month>09</Month><Day>24</Day></DateCreated><DateCompleted><Year>2015</Year><Month>09</Month><Day>24</Day></DateCompleted><DateRevised><Year>2017</Year><Month>02</Month><Day>20</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">2220-8372</ISSN><JournalIssue CitedMedium="Print"><Volume>4</Volume><Issue>2</Issue><PubDate><Year>2014</Year><Month>Jun</Month><Day>21</Day></PubDate></JournalIssue><Title>Public health action</Title><ISOAbbreviation>Public Health Action</ISOAbbreviation></Journal><ArticleTitle>Cohort analysis of antenatal care and delivery outcomes in pregnancy: a basis for improving maternal health.</ArticleTitle><Pagination><MedlinePgn>75-8</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.5588/pha.13.0103</ELocationID><Abstract><AbstractText>Cohort analysis has been the cornerstone of tuberculosis (TB) monitoring and evaluation for nearly two decades; these principles have been adapted for patients with the human immunodeficiency virus/acquired immune-deficiency syndrome on antiretroviral treatment and patients with diabetes mellitus and hypertension. We now make the case for using cohort analyses for monitoring pregnant women during antenatal care, up to and including childbirth. We believe that this approach would strengthen the current monitoring and evaluation systems used in antenatal care by providing more precise information at regular time intervals. Accurate real-time data on how many pregnant women are enrolled in antenatal care, their characteristics, the interventions they are receiving and the outcomes for mother and child should provide a solid basis for action to reduce maternal mortality.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Harries</LastName><ForeName>A D</ForeName><Initials>AD</Initials><AffiliationInfo><Affiliation>International Union Against Tuberculosis and Lung Disease, Paris, France ; London School of Hygiene & Tropical Medicine, London, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jahn</LastName><ForeName>A</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department for HIV and AIDS, Ministry of Health, Lilongwe, Malawi ; International Training & Education Centre for Health, Malawi, and University of Washington, Seattle, Washington, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ben-Smith</LastName><ForeName>A</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gadabu</LastName><ForeName>O J</ForeName><Initials>OJ</Initials><AffiliationInfo><Affiliation>Baobab Health Trust, Lilongwe, Malawi.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Douglas</LastName><ForeName>G P</ForeName><Initials>GP</Initials><AffiliationInfo><Affiliation>Center for Health Informatics for the Underserved, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Seita</LastName><ForeName>A</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>United Nations Relief and Works Agency for Palestine Refugees in the Near East, UNRWA Headquarters, Amman, Jordan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Khader</LastName><ForeName>A</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>United Nations Relief and Works Agency for Palestine Refugees in the Near East, UNRWA Headquarters, Amman, Jordan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zachariah</LastName><ForeName>R</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Médecins Sans Frontières, Medical Department, Brussels Operational Centre, MSF-Luxembourg, Luxembourg.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>France</Country><MedlineTA>Public Health Action</MedlineTA><NlmUniqueID>101624961</NlmUniqueID><ISSNLinking>2220-8372</ISSNLinking></MedlineJournalInfo><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Trop Med Int Health. 2011 Sep;16(9):1077-84</RefSource><PMID Version="1">21702868</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Lancet. 2006 Oct 7;368(9543):1284-99</RefSource><PMID Version="1">17027735</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Lancet. 2010 May 8;375(9726):1609-23</RefSource><PMID Version="1">20382417</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Trop Med Int Health. 2012 Sep;17(9):1163-70</RefSource><PMID Version="1">22845700</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS Med. 2010 Aug 10;7(8):null</RefSource><PMID Version="1">20711476</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Trop Med Int Health. 2012 Dec;17(12):1569-76</RefSource><PMID Version="1">23051859</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Lancet. 2011 Jul 16;378(9787):282-4</RefSource><PMID Version="1">21763940</PMID></CommentsCorrections></CommentsCorrectionsList><OtherID Source="NLM">PMC4539035</OtherID><OtherAbstract Type="Publisher" Language="fre"><AbstractText>Une analyse de cohorte a été la pierre angulaire du suivi et évaluation de la tuberculose pendant près de deux décennies ; ces principes ont été adaptés aux patients atteints de virus de l'immunodéficience humaine/syndrome de l'immunodéficience acquise sous traitement antiretroviral, ainsi qu'aux patients ayant un diabète et une hypertension. Nous recommandons maintenant l'utilisation d'analyse de cohorte pour le suivi des femmes enceintes en consultation prénatale et jusqu'à l'accouchement inclus. Nous pensons que cette approche renforcerait le système actuel de suivi et évaluation utilisé en consultation prénatale en fournissant des informations plus précises à intervalles réguliers. Des données exactes en temps réel sur le nombre de femmes enceintes enrôlées en consultation prénatale, leurs caractéristiques, l'intervention mise en place et les résultats vis-à-vis de la mère et de l'enfant, devraient fournir une solide base d'action visant à diminuer la mortalité maternelle.</AbstractText></OtherAbstract><OtherAbstract Type="Publisher" Language="spa"><AbstractText>El análisis de cohortes ha constituido la piedra angular del seguimiento y de la evaluación de la tuberculosis durante cerca de dos decenios; estos principios se adaptaron a los pacientes coinfectados por el virus de la inmunodeficiencia humana y la síndrome de la inmunodeficiencia adquirida que reciben tratamiento antirretrovírico y a los pacientes con diabetes e hipertensión. En el presente artículo se defiende la oportunidad de utilizar los análisis de cohortes en el seguimiento de las embarazadas durante el cuidado prenatal, hasta incluir el nacimiento. Se propone que esta estrategia reforzaría los sistemas de seguimiento y evaluación que se practican actualmente en la atención prenatal, pues aportaría información más precisa y a intervalos regulares. Obtener los datos exactos y en tiempo real sobre la forma como las embarazadas se inscriben a la atención prenatal, sus características, las principales intervenciones que reciben y los desenlaces de la madre y el niño aportaría fundamentos sólidos a las actividades encaminadas a disminuir la mortalidad materna.</AbstractText></OtherAbstract><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">antenatal care</Keyword><Keyword MajorTopicYN="N">cohort analysis</Keyword><Keyword MajorTopicYN="N">pregnant women</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>12</Month><Day>07</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>02</Month><Day>27</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>9</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>6</Month><Day>21</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>6</Month><Day>21</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26399202</ArticleId><ArticleId IdType="doi">10.5588/pha.13.0103</ArticleId><ArticleId IdType="pmc">PMC4539035</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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