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Maternal mortality as a Millennium Development Goal of the United Nations: a systematic assessment and analysis of available data in threshold countries using Indonesia as example
BACKGROUND: In 2015 the proposed period ended for achieving the Millennium Development Goals (MDG) of the United Nations targeting to lower maternal mortality worldwide by ~ 75%. 99% of these cases appear in developing and threshold countries; but reports mostly rely on incomplete or unrepresentativ...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Edinburgh University Global Health Society
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370209/ https://www.ncbi.nlm.nih.gov/pubmed/28400953 http://dx.doi.org/10.7189/jogh.07.010406 |
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author | Reinke, Evelyn Supriyatiningsih, Haier, Jörg |
author_facet | Reinke, Evelyn Supriyatiningsih, Haier, Jörg |
author_sort | Reinke, Evelyn |
collection | PubMed |
description | BACKGROUND: In 2015 the proposed period ended for achieving the Millennium Development Goals (MDG) of the United Nations targeting to lower maternal mortality worldwide by ~ 75%. 99% of these cases appear in developing and threshold countries; but reports mostly rely on incomplete or unrepresentative data. Using Indonesia as example, currently available data sets for maternal mortality were systematically reviewed. METHODS: Besides analysis of international and national data resources, a systematic review was carried out according to Cochrane methodology to identify all data and assessments regarding maternal mortality. RESULTS: Overall, primary data on maternal mortality differed significantly and were hardly comparable. For 1990 results varied between 253/100 000 and 446/100 000. In 2013 data appeared more conclusive (140–199/100 000). An annual reduction rate (ARR) of –2.8% can be calculated. CONCLUSION: Reported data quality of maternal mortality in Indonesia is very limited regarding comprehensive availability and methodology. This limitation appears to be of general importance for the targeted countries of the MDG. Primary data are rare, not uniformly obtained and not evaluated by comparable methods resulting in very limited comparability. Continuous small data set registration should have high priority for analysis of maternal health activities. |
format | Online Article Text |
id | pubmed-5370209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Edinburgh University Global Health Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-53702092017-04-11 Maternal mortality as a Millennium Development Goal of the United Nations: a systematic assessment and analysis of available data in threshold countries using Indonesia as example Reinke, Evelyn Supriyatiningsih, Haier, Jörg J Glob Health Articles BACKGROUND: In 2015 the proposed period ended for achieving the Millennium Development Goals (MDG) of the United Nations targeting to lower maternal mortality worldwide by ~ 75%. 99% of these cases appear in developing and threshold countries; but reports mostly rely on incomplete or unrepresentative data. Using Indonesia as example, currently available data sets for maternal mortality were systematically reviewed. METHODS: Besides analysis of international and national data resources, a systematic review was carried out according to Cochrane methodology to identify all data and assessments regarding maternal mortality. RESULTS: Overall, primary data on maternal mortality differed significantly and were hardly comparable. For 1990 results varied between 253/100 000 and 446/100 000. In 2013 data appeared more conclusive (140–199/100 000). An annual reduction rate (ARR) of –2.8% can be calculated. CONCLUSION: Reported data quality of maternal mortality in Indonesia is very limited regarding comprehensive availability and methodology. This limitation appears to be of general importance for the targeted countries of the MDG. Primary data are rare, not uniformly obtained and not evaluated by comparable methods resulting in very limited comparability. Continuous small data set registration should have high priority for analysis of maternal health activities. Edinburgh University Global Health Society 2017-06 2017-03-18 /pmc/articles/PMC5370209/ /pubmed/28400953 http://dx.doi.org/10.7189/jogh.07.010406 Text en Copyright © 2017 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Articles Reinke, Evelyn Supriyatiningsih, Haier, Jörg Maternal mortality as a Millennium Development Goal of the United Nations: a systematic assessment and analysis of available data in threshold countries using Indonesia as example |
title | Maternal mortality as a Millennium Development Goal of the United Nations: a systematic assessment and analysis of available data in threshold countries using Indonesia as example |
title_full | Maternal mortality as a Millennium Development Goal of the United Nations: a systematic assessment and analysis of available data in threshold countries using Indonesia as example |
title_fullStr | Maternal mortality as a Millennium Development Goal of the United Nations: a systematic assessment and analysis of available data in threshold countries using Indonesia as example |
title_full_unstemmed | Maternal mortality as a Millennium Development Goal of the United Nations: a systematic assessment and analysis of available data in threshold countries using Indonesia as example |
title_short | Maternal mortality as a Millennium Development Goal of the United Nations: a systematic assessment and analysis of available data in threshold countries using Indonesia as example |
title_sort | maternal mortality as a millennium development goal of the united nations: a systematic assessment and analysis of available data in threshold countries using indonesia as example |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370209/ https://www.ncbi.nlm.nih.gov/pubmed/28400953 http://dx.doi.org/10.7189/jogh.07.010406 |
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