2015
DOI: 10.1186/1471-2393-15-s2-s8
|View full text |Cite
|
Sign up to set email alerts
|

Count every newborn; a measurement improvement roadmap for coverage data

Abstract: BackgroundThe Every Newborn Action Plan (ENAP), launched in 2014, aims to end preventable newborn deaths and stillbirths, with national targets of ≤12 neonatal deaths per 1000 live births and ≤12 stillbirths per 1000 total births by 2030. This requires ambitious improvement of the data on care at birth and of small and sick newborns, particularly to track coverage, quality and equity.MethodsIn a multistage process, a matrix of 70 indicators were assessed by the Every Newborn steering group. Indicators were gra… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

4
156
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
9

Relationship

4
5

Authors

Journals

citations
Cited by 130 publications
(160 citation statements)
references
References 56 publications
4
156
0
Order By: Relevance
“…In retrospective household surveys, the current widespread use of birth history alone likely underestimates stillbirths and early neonatal deaths and does not capture other important pregnancy outcomes (including spontaneous and induced abortions). These deficits have been identified as major data gaps, impeding actions towards improving maternal and newborn health [16]. To further explore the underlying issues and differences between these two approaches, we present a comparison of a population-based retrospective pregnancy history survey and the routine prospective surveillance system used in Iganga-Mayuge HDSS in eastern Uganda.…”
Section: Introductionmentioning
confidence: 99%
“…In retrospective household surveys, the current widespread use of birth history alone likely underestimates stillbirths and early neonatal deaths and does not capture other important pregnancy outcomes (including spontaneous and induced abortions). These deficits have been identified as major data gaps, impeding actions towards improving maternal and newborn health [16]. To further explore the underlying issues and differences between these two approaches, we present a comparison of a population-based retrospective pregnancy history survey and the routine prospective surveillance system used in Iganga-Mayuge HDSS in eastern Uganda.…”
Section: Introductionmentioning
confidence: 99%
“…Linking data to action has also been important to drive the change (4,8). However, huge inequities in coverage and quality continue, and more efforts are needed to improve the data to track specific interventions and quality of care, and then be able to use that data to close gaps in care for the poorest and most marginalised in every setting (36).…”
Section: Discussionmentioning
confidence: 99%
“…Central to this is recognition that in-service provision as well as measurement it is essential to keep the mother and baby together as a dyad, especially around the time of birth when the majority of maternal and newborn deaths occur. Despite the considerable progress by household and facility surveys to illuminate evidence on the content of care, robust data on quality life-saving care at birth remains scarce in many settings [1][2][3], and there continues to be a need for global guidance on best measurement methods.…”
Section: The Maternal and Newborn Measurement Dyadmentioning
confidence: 99%