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Improving the measurement of maternal mortality in Thailand using multiple data sources
BACKGROUND: Thailand uses cause of death records in civil registration to summarize maternal mortality statistics. A report by the Department of Health using the Reproductive Age Mortality Studies (RAMOS) reported that the maternal mortality ratio (MMR) in 1997 was approximately three to four times...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855912/ https://www.ncbi.nlm.nih.gov/pubmed/27147909 http://dx.doi.org/10.1186/s12963-016-0087-z |
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author | Chandoevwit, Worawan Phatchana, Phasith Sirigomon, Kanjana Ieawsuwan, Kunakorn Thungthong, Jutatip Ruangdej, Saray |
author_facet | Chandoevwit, Worawan Phatchana, Phasith Sirigomon, Kanjana Ieawsuwan, Kunakorn Thungthong, Jutatip Ruangdej, Saray |
author_sort | Chandoevwit, Worawan |
collection | PubMed |
description | BACKGROUND: Thailand uses cause of death records in civil registration to summarize maternal mortality statistics. A report by the Department of Health using the Reproductive Age Mortality Studies (RAMOS) reported that the maternal mortality ratio (MMR) in 1997 was approximately three to four times higher than MMR based on the civil registration cause of death records. Here, we used multiple data sources to systematically measure maternal mortality in Thailand and showed a disparity between age groups and regions. METHODS: We calculated the number of maternal deaths using a two-stage method. In the first stage, we counted the number of deceased mothers who successfully gave live births. In the second stage, we counted the number of women who died during the pregnancy, delivery, or the postpartum period without a live birth. RESULTS: The number of maternal deaths dropped from 268 in 2007 to 226 in 2014. Nearly 50 % of the deaths occurred in Stage 1. The maternal mortality ratio in 2007 was 33.6 per 100,000 live births; the rate fell to 31.8 in 2014. The age ranges of women observed were 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, and 45-49, and the MMR averages were 21.5, 23.8, 27.0, 42.1, 67.7, 115.4, and 423.4 per 100,000 live births, respectively. The Southern region consistently exhibited the highest MMR compared to other regions for every year analyzed, except 2012. Women in Bangkok had a lower risk of dying during pregnancy, delivery, and the postpartum period than women from other regions. CONCLUSIONS: We demonstrated that using multiple administrative data sources in the two-stage method was an efficient method that provided systematic measurement and timely reporting on the maternal mortality ratio. An additional benefit of the method was that information provided from the combined data sources, (e.g., the number of maternal deaths by age group and region) was relevant to the safe motherhood policy. |
format | Online Article Text |
id | pubmed-4855912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48559122016-05-05 Improving the measurement of maternal mortality in Thailand using multiple data sources Chandoevwit, Worawan Phatchana, Phasith Sirigomon, Kanjana Ieawsuwan, Kunakorn Thungthong, Jutatip Ruangdej, Saray Popul Health Metr Research BACKGROUND: Thailand uses cause of death records in civil registration to summarize maternal mortality statistics. A report by the Department of Health using the Reproductive Age Mortality Studies (RAMOS) reported that the maternal mortality ratio (MMR) in 1997 was approximately three to four times higher than MMR based on the civil registration cause of death records. Here, we used multiple data sources to systematically measure maternal mortality in Thailand and showed a disparity between age groups and regions. METHODS: We calculated the number of maternal deaths using a two-stage method. In the first stage, we counted the number of deceased mothers who successfully gave live births. In the second stage, we counted the number of women who died during the pregnancy, delivery, or the postpartum period without a live birth. RESULTS: The number of maternal deaths dropped from 268 in 2007 to 226 in 2014. Nearly 50 % of the deaths occurred in Stage 1. The maternal mortality ratio in 2007 was 33.6 per 100,000 live births; the rate fell to 31.8 in 2014. The age ranges of women observed were 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, and 45-49, and the MMR averages were 21.5, 23.8, 27.0, 42.1, 67.7, 115.4, and 423.4 per 100,000 live births, respectively. The Southern region consistently exhibited the highest MMR compared to other regions for every year analyzed, except 2012. Women in Bangkok had a lower risk of dying during pregnancy, delivery, and the postpartum period than women from other regions. CONCLUSIONS: We demonstrated that using multiple administrative data sources in the two-stage method was an efficient method that provided systematic measurement and timely reporting on the maternal mortality ratio. An additional benefit of the method was that information provided from the combined data sources, (e.g., the number of maternal deaths by age group and region) was relevant to the safe motherhood policy. BioMed Central 2016-05-04 /pmc/articles/PMC4855912/ /pubmed/27147909 http://dx.doi.org/10.1186/s12963-016-0087-z Text en © Chandoevwit et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Chandoevwit, Worawan Phatchana, Phasith Sirigomon, Kanjana Ieawsuwan, Kunakorn Thungthong, Jutatip Ruangdej, Saray Improving the measurement of maternal mortality in Thailand using multiple data sources |
title | Improving the measurement of maternal mortality in Thailand using multiple data sources |
title_full | Improving the measurement of maternal mortality in Thailand using multiple data sources |
title_fullStr | Improving the measurement of maternal mortality in Thailand using multiple data sources |
title_full_unstemmed | Improving the measurement of maternal mortality in Thailand using multiple data sources |
title_short | Improving the measurement of maternal mortality in Thailand using multiple data sources |
title_sort | improving the measurement of maternal mortality in thailand using multiple data sources |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855912/ https://www.ncbi.nlm.nih.gov/pubmed/27147909 http://dx.doi.org/10.1186/s12963-016-0087-z |
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