dc.contributor.author |
Baschieri, Angela |
|
dc.contributor.author |
Gordeev, Vladimir S |
|
dc.contributor.author |
Akuze, Joseph |
|
dc.contributor.author |
Doris, Kwesiga |
|
dc.contributor.author |
Hannah, Blencowe |
|
dc.contributor.author |
Simon, Cousens |
|
dc.contributor.author |
Peter, Waiswa |
|
dc.contributor.author |
Ane B, Fiske |
|
dc.contributor.author |
Sanne M, Thysen |
|
dc.contributor.author |
Rodrigues, Amabelia |
|
dc.contributor.author |
Gashaw A, Biks |
|
dc.contributor.author |
Solomon M Abebe, Solomon M Abebe |
|
dc.contributor.author |
Kassahun A Gelaye, Kassahun A Gelaye |
|
dc.contributor.author |
Mezgebu Y Mengistu, Mezgebu Y Mengistu |
|
dc.contributor.author |
Bisrat M Geremew, Bisrat M Geremew |
|
dc.contributor.author |
Tadesse G Delele, Tadesse G Delele |
|
dc.contributor.author |
Adane K Tesega, Adane K Tesega |
|
dc.contributor.author |
Temesgen A Yitayew, Temesgen A Yitayew |
|
dc.contributor.author |
Simon Kasasa, Simon Kasasa |
|
dc.contributor.author |
Edward Galiwango, Edward Galiwango |
|
dc.contributor.author |
Davis, Natukwatsa |
|
dc.contributor.author |
Dan, Kajungu |
|
dc.contributor.author |
Yeetey, AK Enuameh |
|
dc.contributor.author |
Obed E Nettey, Obed E Nettey |
|
dc.contributor.author |
Obed E Nettey, Obed E Nettey |
|
dc.contributor.author |
Francis, Dzabeng |
|
dc.contributor.author |
Seeba, Amenga-Etego |
|
dc.contributor.author |
Sam K Newton, Sam K Newton |
|
dc.contributor.author |
Alexander A Manu, Alexander A Manu |
|
dc.contributor.author |
Charlotte, Tawiah |
|
dc.contributor.author |
Kwaku P Asante, Kwaku P Asante |
|
dc.contributor.author |
Seth Owusu-Agyei, Seth Owusu-Agyei |
|
dc.contributor.author |
Nurul, Alam |
|
dc.contributor.author |
M M Haider, M M Haider |
|
dc.contributor.author |
Sayed S Alam, Sayed S Alam |
|
dc.contributor.author |
Fred, Arnold |
|
dc.contributor.author |
Peter, Byass |
|
dc.contributor.author |
Trevor N Croft, Trevor N Croft |
|
dc.contributor.author |
Kobus, Herbst |
|
dc.contributor.author |
Sunita, Kishor |
|
dc.contributor.author |
Florina, Serbanescu |
|
dc.contributor.author |
Joy E Lawn, Joy E Lawn |
|
dc.date.accessioned |
2021-05-21T11:47:21Z |
|
dc.date.available |
2021-05-21T11:47:21Z |
|
dc.date.issued |
2019 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/3589 |
|
dc.description.abstract |
Background Under-five and maternal mortality were halved in the Millennium Development Goals
(MDG) era, with slower reductions for 2.6 million neonatal deaths and 2.6 million stillbirths. The
Every Newborn Action Plan aims to accelerate progress towards national targets, and includes an
ambitious Measurement Improvement Roadmap. Population-based household surveys, notably Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys, are major sources of
population-level data on child mortality in countries with weaker civil registration and vital statistics
systems, where over two-thirds of global child deaths occur. To estimate neonatal/child mortality and
pregnancy outcomes (stillbirths, miscarriages, birthweight, gestational age) the most common direct
methods are: (1) the standard DHS-7 with Full Birth History with additional questions on pregnancy losses in the past 5 years (FBH+) or (2) a Full Pregnancy History (FPH). No direct comparison of
these two methods has been undertaken, although descriptive analyses suggest that the FBH+ may
underestimate mortality rates particularly for stillbirths.
Methods This is the protocol paper for the Every Newborn-INDEPTH study (INDEPTH Network,
International Network for the Demographic Evaluation of Populations and their Health Every Newborn, Every Newborn Action Plan), aiming to undertake a randomised comparison of FBH+ and FPH
to measure pregnancy outcomes in a household survey in five selected INDEPTH Network sites in
Africa and South Asia (Bandim in urban and rural Guinea-Bissau; Dabat in Ethiopia; IgangaMayuge
in Uganda; Kintampo in Ghana; Matlab in Bangladesh). The survey will reach >68000 pregnancies
to assess if there is ≥15% difference in stillbirth rates. Additional questions will capture birthweight,
gestational age, birth/death certification, termination of pregnancy and fertility intentions. The World
Bank’s Survey Solutions platform will be tailored for data collection, including recording paradata to
evaluate timing. A mixed methods assessment of barriers and enablers to reporting of pregnancy and
adverse pregnancy outcomes will be undertaken.
Conclusions This large-scale study is the first randomised comparison of these two methods to capture pregnancy outcomes. Results are expected to inform the evidence base for survey methodology, especially in DHS, regarding capture of stillbirths and other outcomes, notably neonatal deaths,
abortions (spontaneous and induced), birthweight and gestational age. In addition, this study will
inform strategies to improve health and demographic surveillance capture of neonatal/child mortality and pregnancy outcomes |
en_US |
dc.description.sponsorship |
UOG |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
journal of global health |
en_US |
dc.relation.ispartofseries |
Jornal; |
|
dc.title |
Every Newborn-INDEPTH” (EN-INDEPTH) study protocol for a randomised comparison of household survey modules for measuring stillbirths and neonatal deaths in five Health and Demographic Surveillance sites |
en_US |
dc.type |
Article |
en_US |