Antenatal care data sources and their policy and planning implications: a Palestinian example using the Lives Saved Tool

Abstract Background Policy making in healthcare requires reliable and local data. Different sources of coverage data for health interventions can be utilized to populate the Lives Saved Tool (LiST), a commonly used policy-planning tool for women and children’s health. We have evaluated four existing...

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Main Authors: Ingrid K. Friberg, Mahima Venkateswaran, Buthaina Ghanem, J. Frederik Frøen
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-019-6427-8
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spelling doaj-73565749f4844a749a5ff759142c3f792020-11-25T01:17:59ZengBMCBMC Public Health1471-24582019-01-0119111110.1186/s12889-019-6427-8Antenatal care data sources and their policy and planning implications: a Palestinian example using the Lives Saved ToolIngrid K. Friberg0Mahima Venkateswaran1Buthaina Ghanem2J. Frederik Frøen3Global Health Cluster, Division for Health Services, Norwegian Institute of Public HealthGlobal Health Cluster, Division for Health Services, Norwegian Institute of Public HealthWorld Health Organization, Palestinian National Institute of Public HealthGlobal Health Cluster, Division for Health Services, Norwegian Institute of Public HealthAbstract Background Policy making in healthcare requires reliable and local data. Different sources of coverage data for health interventions can be utilized to populate the Lives Saved Tool (LiST), a commonly used policy-planning tool for women and children’s health. We have evaluated four existing sources of antenatal care data in Palestine to discuss the implications of their use in LiST. Methods We identified all intervention coverage and health status indicators around the antenatal period that could be used to populate LiST. These indicators were calculated from 1) routine reported data, 2) a Multiple Indicator Cluster Survey (MICS), 3) paper-based antenatal records and 4) the eRegistry (an electronic health information system) for public clinics in the West Bank, Palestine for the most recent year available. We scaled coverage of each indicator to 90%, in public clinics only, and compared this to a no-change scenario for a seven-year period. Results Eight intervention coverage and health status indicators needed to populate the antenatal section of LiST could be calculated from both paper-based antenatal records and the eRegistry. Only two could be calculated from routine reports and three from a national survey. Maternal lives saved over seven years ranged from 5 to 39, with percent reduction in the maternal mortality ratio (MMR) ranging from 1 to 6%. Pre-eclampsia management accounted for 25 to 100% of these lives saved. Conclusions The choice of data source for antenatal indicators will affect policy-based decisions when used to populate LiST. Although all data sources have their purpose, clinical data collected directly in an electronic registry during antenatal contacts may provide the most reliable and complete data to populate currently unavailable but needed indicators around specific antenatal care interventions.http://link.springer.com/article/10.1186/s12889-019-6427-8Lives Saved Tool (LiST)Antenatal care indicatorsPriority setting in maternal and child healthData for policy-making
collection DOAJ
language English
format Article
sources DOAJ
author Ingrid K. Friberg
Mahima Venkateswaran
Buthaina Ghanem
J. Frederik Frøen
spellingShingle Ingrid K. Friberg
Mahima Venkateswaran
Buthaina Ghanem
J. Frederik Frøen
Antenatal care data sources and their policy and planning implications: a Palestinian example using the Lives Saved Tool
BMC Public Health
Lives Saved Tool (LiST)
Antenatal care indicators
Priority setting in maternal and child health
Data for policy-making
author_facet Ingrid K. Friberg
Mahima Venkateswaran
Buthaina Ghanem
J. Frederik Frøen
author_sort Ingrid K. Friberg
title Antenatal care data sources and their policy and planning implications: a Palestinian example using the Lives Saved Tool
title_short Antenatal care data sources and their policy and planning implications: a Palestinian example using the Lives Saved Tool
title_full Antenatal care data sources and their policy and planning implications: a Palestinian example using the Lives Saved Tool
title_fullStr Antenatal care data sources and their policy and planning implications: a Palestinian example using the Lives Saved Tool
title_full_unstemmed Antenatal care data sources and their policy and planning implications: a Palestinian example using the Lives Saved Tool
title_sort antenatal care data sources and their policy and planning implications: a palestinian example using the lives saved tool
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2019-01-01
description Abstract Background Policy making in healthcare requires reliable and local data. Different sources of coverage data for health interventions can be utilized to populate the Lives Saved Tool (LiST), a commonly used policy-planning tool for women and children’s health. We have evaluated four existing sources of antenatal care data in Palestine to discuss the implications of their use in LiST. Methods We identified all intervention coverage and health status indicators around the antenatal period that could be used to populate LiST. These indicators were calculated from 1) routine reported data, 2) a Multiple Indicator Cluster Survey (MICS), 3) paper-based antenatal records and 4) the eRegistry (an electronic health information system) for public clinics in the West Bank, Palestine for the most recent year available. We scaled coverage of each indicator to 90%, in public clinics only, and compared this to a no-change scenario for a seven-year period. Results Eight intervention coverage and health status indicators needed to populate the antenatal section of LiST could be calculated from both paper-based antenatal records and the eRegistry. Only two could be calculated from routine reports and three from a national survey. Maternal lives saved over seven years ranged from 5 to 39, with percent reduction in the maternal mortality ratio (MMR) ranging from 1 to 6%. Pre-eclampsia management accounted for 25 to 100% of these lives saved. Conclusions The choice of data source for antenatal indicators will affect policy-based decisions when used to populate LiST. Although all data sources have their purpose, clinical data collected directly in an electronic registry during antenatal contacts may provide the most reliable and complete data to populate currently unavailable but needed indicators around specific antenatal care interventions.
topic Lives Saved Tool (LiST)
Antenatal care indicators
Priority setting in maternal and child health
Data for policy-making
url http://link.springer.com/article/10.1186/s12889-019-6427-8
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