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Comparing performance of methods used to identify pregnant women, pregnancy outcomes, and child mortality in the Iganga-Mayuge Health and Demographic Surveillance Site, Uganda

Comparing performance of methods used to identify pregnant women, pregnancy outcomes, and child mortality in the Iganga-Mayuge Health and Demographic Surveillance Site, Uganda

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dc.contributor.author Kadobera, Daniel
dc.contributor.author Waiswa, Peter
dc.contributor.author Peterson, Stefan
dc.contributor.author Blencowe, Hannah
dc.contributor.author Lawn, Joy
dc.contributor.author Kerber, Kate
dc.contributor.author Tumwesigye, Nazarius Mbona
dc.date.accessioned 2021-01-01T21:58:04Z
dc.date.available 2021-01-01T21:58:04Z
dc.date.issued 2017
dc.identifier.issn 1654-9880
dc.identifier.uri http://combine.alvar.ug/handle/1/48150
dc.description.abstract Background: In most low and middle-income countries vital events registration for births and child deaths is poor, with reporting of pregnancy outcomes highly inadequate or nonexistent. Health and Demographic Surveillance System (HDSS) sites and periodic population- based household-level surveys can be used to identify pregnancies and retrospectively capture pregnancy outcomes to provide data for decision making. However, little is known about the performance of different methods in identifying pregnancy and pregnancy outcomes, yet this is critical in assessing improvements in reducing maternal and newborn mortality and stillbirths. Objective: To explore differences between a population-based household pregnancy survey and prospective health demographic surveillance system in identifying pregnancies and their outcomes in rural eastern Uganda. Methods: The study was done within the Iganga-Mayuge HDSS site, a member centre of the INDEPTH Network. Prospective data about pregnancies and their outcomes was collected in the routine biannual census rounds from 2006 to 2010 in the HDSS. In 2011 a cross-sectional survey using the pregnancy history survey (PHS) tool was conducted among women aged 15 to 49 years in the HDSS area. We compared differences between the HDSS biannual census updates and the PHS capture of pregnancies identified as well as neonatal and child deaths, stillbirths and abortions. Findings: A total of 10,540 women aged 15 to 49 years were interviewed during the PHS. The PHS captured 12.8% more pregnancies than the HDSS in the most recent year (20102011), though between 2006 and 2010 (earlier periods) the PHS captured only 137 (0.8%) more pregnancies overall. The PHS also consistently identified more stillbirths (18.2%), spontaneous abortions (94.5%) and induced abortions (185.8%) than the prospective HDSS update rounds. Conclusions: Surveillance sites are designed to prospectively track population-level outcomes. However, the PHS identified more pregnancy-related outcomes than the HDSS in this study. Asking about pregnancy and its outcomes may be a useful way to improve measurement of pregnancy outcomes. Further research is needed to identify the most effective methods of improving the capture of pregnancies and their outcomes within HDSS sites, household surveys and routine health information systems.
dc.description.sponsorship Sida-Makerere University-Karolinska Institutet Research
dc.description.sponsorship Saving Newborn Lives grant of Save the Children from the Bill & Melinda Gates Foundation
dc.language English
dc.publisher TAYLOR & FRANCIS LTD
dc.relation.ispartof Global Health Action
dc.subject Population-Based Surveys
dc.subject Maternal And Child Health Outcomes
dc.subject Surveillance Systems
dc.subject Health Information Sources
dc.subject Pregnancy Surveillance
dc.title Comparing performance of methods used to identify pregnant women, pregnancy outcomes, and child mortality in the Iganga-Mayuge Health and Demographic Surveillance Site, Uganda
dc.type Article
dc.identifier.isi 000407952500001
dc.identifier.doi 10.1080/16549716.2017.1356641
dc.identifier.pmid 287994
dc.publisher.city ABINGDON
dc.publisher.address 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
dc.identifier.volume 10
dc.identifier.issue 1
dc.subject.wc Public, Environmental & Occupational Health
dc.subject.sc Public, Environmental & Occupational Health
dc.description.oa DOAJ Gold
dc.description.oa Green Published
dc.description.oa Green Accepted
dc.description.pages 8
dc.subject.kwp Rural Eastern Uganda
dc.subject.kwp Newborn
dc.subject.kwp Registration
dc.subject.kwp Stillbirths
dc.subject.kwp Experiences
dc.subject.kwp Count
dc.identifier.articleno 1356641
dc.description.affiliation Iganga Mayuge Hlth & Demog Surveillance Syst, Indepth Network Maternal Newborn & Child Hlth Wor, Iganga, Uganda
dc.description.affiliation Minist Hlth, Dept Clin Serv, Kampala, Uganda
dc.description.affiliation Karolinska Inst, Dept Publ Hlth Sci, Hlth Syst Policy, Stockholm, Sweden
dc.description.affiliation Makerere Univ, Coll Hlth Sci, Sch Publ Hlth, Maternal Newborn & Child Hlth Ctr Excellence, Kampala, Uganda
dc.description.affiliation Karolinska Inst, Dept Publ Hlth Sci Global Hlth IHCAR, Stockholm, Sweden
dc.description.affiliation Uppsala Univ, Dept Womens & Childrens Hlth, IMCH, Stockholm, Sweden
dc.description.affiliation London Sch Hyg & Trop Med, Ctr Maternal Adolescent Reprod & Child Hlth MARCH, London, England
dc.description.affiliation Save Children US, Saving Newborn Lives, Washington, DC USA
dc.description.affiliation Makerere Univ, Coll Hlth Sci, Sch Publ Hlth, Dept Epidemiol & Biostat, Kampala, Uganda
dc.description.email dkadobera@yahoo.com
dc.description.corr Kadobera, D (corresponding author), Iganga Mayuge Hlth & Demog Surveillance Syst, Indepth Network Maternal Newborn & Child Hlth Wor, Iganga, Uganda.; Kadobera, D (corresponding author), Minist Hlth, Dept Clin Serv, Kampala, Uganda.
dc.description.orcid Lawn, Joy/0000-0002-4573-1443
dc.description.orcid Waiswa, Peter/0000-0001-9868-0515
dc.description.orcid Peterson, Stefan/0000-0001-7203-3096
dc.description.orcid Blencowe, Hannah/0000-0003-1556-3159


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