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Mapping the landscape of global programmes to evaluate health interventions in pregnancy: the need for harmonised approaches, standards and tools

Pregnant women and their babies are among the populations most vulnerable to untoward health outcomes. Yet current standards for evaluating health interventions cannot be met during pregnancy because of lack of adequate evidence. The situation is even more concerning in low-income and middle-income...

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Autores principales: Zuber, Patrick L F, Moran, Allisyn C, Chou, Doris, Renaud, Françoise, Halleux, Christine, Peña-Rosas, Juan Pablo, Viswanathan, Kavitha, Lackritz, Eve, Jakob, Robert, Mason, Elizabeth, Lamprianou, Smaragda, Guillard-Maure, Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195154/
https://www.ncbi.nlm.nih.gov/pubmed/30364289
http://dx.doi.org/10.1136/bmjgh-2018-001053
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author Zuber, Patrick L F
Moran, Allisyn C
Chou, Doris
Renaud, Françoise
Halleux, Christine
Peña-Rosas, Juan Pablo
Viswanathan, Kavitha
Lackritz, Eve
Jakob, Robert
Mason, Elizabeth
Lamprianou, Smaragda
Guillard-Maure, Christine
author_facet Zuber, Patrick L F
Moran, Allisyn C
Chou, Doris
Renaud, Françoise
Halleux, Christine
Peña-Rosas, Juan Pablo
Viswanathan, Kavitha
Lackritz, Eve
Jakob, Robert
Mason, Elizabeth
Lamprianou, Smaragda
Guillard-Maure, Christine
author_sort Zuber, Patrick L F
collection PubMed
description Pregnant women and their babies are among the populations most vulnerable to untoward health outcomes. Yet current standards for evaluating health interventions cannot be met during pregnancy because of lack of adequate evidence. The situation is even more concerning in low-income and middle-income countries, where the need for effective interventions is the greatest. Meeting the Sustainable Development Goals for health will require strengthened attention to maternal and child health. In this paper we examine ongoing initiatives aimed at improving the assessment of maternal interventions. We review current methodologies to monitor outcomes of maternal interventions and identify where harmonisation is needed. Based on this analysis we identify settings where different minimal data sets should be considered taking into consideration the clinical realities. Stronger coordination mechanisms and a roadmap to support harmonised monitoring of maternal interventions across programmes and partners, working on improving pregnancy and early childhood health events, will greatly enhance ability to generate evidence-based policies.
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spelling pubmed-61951542018-10-24 Mapping the landscape of global programmes to evaluate health interventions in pregnancy: the need for harmonised approaches, standards and tools Zuber, Patrick L F Moran, Allisyn C Chou, Doris Renaud, Françoise Halleux, Christine Peña-Rosas, Juan Pablo Viswanathan, Kavitha Lackritz, Eve Jakob, Robert Mason, Elizabeth Lamprianou, Smaragda Guillard-Maure, Christine BMJ Glob Health Analysis Pregnant women and their babies are among the populations most vulnerable to untoward health outcomes. Yet current standards for evaluating health interventions cannot be met during pregnancy because of lack of adequate evidence. The situation is even more concerning in low-income and middle-income countries, where the need for effective interventions is the greatest. Meeting the Sustainable Development Goals for health will require strengthened attention to maternal and child health. In this paper we examine ongoing initiatives aimed at improving the assessment of maternal interventions. We review current methodologies to monitor outcomes of maternal interventions and identify where harmonisation is needed. Based on this analysis we identify settings where different minimal data sets should be considered taking into consideration the clinical realities. Stronger coordination mechanisms and a roadmap to support harmonised monitoring of maternal interventions across programmes and partners, working on improving pregnancy and early childhood health events, will greatly enhance ability to generate evidence-based policies. BMJ Publishing Group 2018-10-15 /pmc/articles/PMC6195154/ /pubmed/30364289 http://dx.doi.org/10.1136/bmjgh-2018-001053 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: http://creativecommons.org/licenses/by/4.0
spellingShingle Analysis
Zuber, Patrick L F
Moran, Allisyn C
Chou, Doris
Renaud, Françoise
Halleux, Christine
Peña-Rosas, Juan Pablo
Viswanathan, Kavitha
Lackritz, Eve
Jakob, Robert
Mason, Elizabeth
Lamprianou, Smaragda
Guillard-Maure, Christine
Mapping the landscape of global programmes to evaluate health interventions in pregnancy: the need for harmonised approaches, standards and tools
title Mapping the landscape of global programmes to evaluate health interventions in pregnancy: the need for harmonised approaches, standards and tools
title_full Mapping the landscape of global programmes to evaluate health interventions in pregnancy: the need for harmonised approaches, standards and tools
title_fullStr Mapping the landscape of global programmes to evaluate health interventions in pregnancy: the need for harmonised approaches, standards and tools
title_full_unstemmed Mapping the landscape of global programmes to evaluate health interventions in pregnancy: the need for harmonised approaches, standards and tools
title_short Mapping the landscape of global programmes to evaluate health interventions in pregnancy: the need for harmonised approaches, standards and tools
title_sort mapping the landscape of global programmes to evaluate health interventions in pregnancy: the need for harmonised approaches, standards and tools
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195154/
https://www.ncbi.nlm.nih.gov/pubmed/30364289
http://dx.doi.org/10.1136/bmjgh-2018-001053
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