Loading…

Measuring maternal mortality using a Reproductive Age Mortality Study (RAMOS)

Assessing the feasibility of conducting a prospective Reproductive Age Mortality Survey (RAMOS) study in the low-income setting of Mangochi District, Malawi to obtain cotemporaneous estimates of the number, cause of and conditions associated with maternal deaths (MD) in all women of reproductive age...

Full description

Saved in:
Bibliographic Details
Published in:BMC pregnancy and childbirth 2016-09, Vol.16 (1), p.291-291, Article 291
Main Authors: Mgawadere, Florence, Unkels, Regine, Adegoke, Adetoro, van den Broek, Nynke
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c494t-38a98d1d21dd9c8080d89af2292e71989bc66f7ba7d4fbd5c94b0a0df8b278b83
cites cdi_FETCH-LOGICAL-c494t-38a98d1d21dd9c8080d89af2292e71989bc66f7ba7d4fbd5c94b0a0df8b278b83
container_end_page 291
container_issue 1
container_start_page 291
container_title BMC pregnancy and childbirth
container_volume 16
creator Mgawadere, Florence
Unkels, Regine
Adegoke, Adetoro
van den Broek, Nynke
description Assessing the feasibility of conducting a prospective Reproductive Age Mortality Survey (RAMOS) study in the low-income setting of Mangochi District, Malawi to obtain cotemporaneous estimates of the number, cause of and conditions associated with maternal deaths (MD) in all women of reproductive age (WRA) (n = 207 688). MD among all deaths of WRA were identified using the ICD-10 definition. Cause of death and contributing conditions identified by a panel of experts using the classification system for deaths during pregnancy, childbirth and puerperium (ICD-MM). Out of 424 deaths of WRA, 151 were MD giving a Maternal Mortality Ratio (MMR) of 363 per 100,000 live births (95 % CI: 307-425). Only 86 MD had been reported via existing reporting mechanisms representing an underreporting of 43 %. The majority of MD (62.3 %) occurred in a health facility and were the result of direct obstetric causes (74.8 %) with obstetric haemorrhage as the leading cause (35.8 %), followed by pregnancy-related infections (19.4 %), hypertensive disorders (16.8 %) and pregnancy with abortive outcome (13.2 %). Malaria was the most frequently identified indirect cause (9.9 %). Contributing conditions were more frequently identified when both verbal autopsy and facility-based death review had taken place and included obstructed labour (28.5 %), anaemia (12.6 %) and positive HIV status (4.0 %). The high number of MD that occur at health facility level, cause of death and contributing conditions reflect deficiencies in the quality of care at health facility level. A RAMOS is feasible in low- and middle-income settings and provides contemporaneous estimates of MMR.
doi_str_mv 10.1186/s12884-016-1084-8
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5041536</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1835408786</sourcerecordid><originalsourceid>FETCH-LOGICAL-c494t-38a98d1d21dd9c8080d89af2292e71989bc66f7ba7d4fbd5c94b0a0df8b278b83</originalsourceid><addsrcrecordid>eNpdkUtLxDAQx4MoPlY_gBcpeNFDNZOmzeQiLOILLAs-ziFt0rXSx5q0C_vtbdl1UU8zML_8mcmPkFOgVwCYXHtgiDykkIRAhwZ3yCFwASGLZLT7qz8gR95_UgoCY7pPDphIUDAeHZI0tdr3rmzmQa076xpdBXXrOl2V3Sro_TjQwYtduNb0eVcubTCd2yDdIq9db1bBxcs0nb1eHpO9QlfenmzqhLzf373dPobPs4en2-lzmHPJuzBCLdGAYWCMzJEiNSh1wZhkVoBEmeVJUohMC8OLzMS55BnV1BSYMYEZRhNys85d9FltTW6bzulKLVxZa7dSrS7V30lTfqh5u1Qx5RBHyRBwsQlw7Vdvfafq0ue2qnRj294rwCjmFAWO6Pk_9LPtx3_yijEqBaMJg4GCNZW71ntni-0yQNUoS61lqUGWGmWp8Yqz31dsX_zYib4ByfyQGg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2209720621</pqid></control><display><type>article</type><title>Measuring maternal mortality using a Reproductive Age Mortality Study (RAMOS)</title><source>Publicly Available Content (ProQuest)</source><source>PubMed</source><creator>Mgawadere, Florence ; Unkels, Regine ; Adegoke, Adetoro ; van den Broek, Nynke</creator><creatorcontrib>Mgawadere, Florence ; Unkels, Regine ; Adegoke, Adetoro ; van den Broek, Nynke</creatorcontrib><description>Assessing the feasibility of conducting a prospective Reproductive Age Mortality Survey (RAMOS) study in the low-income setting of Mangochi District, Malawi to obtain cotemporaneous estimates of the number, cause of and conditions associated with maternal deaths (MD) in all women of reproductive age (WRA) (n = 207 688). MD among all deaths of WRA were identified using the ICD-10 definition. Cause of death and contributing conditions identified by a panel of experts using the classification system for deaths during pregnancy, childbirth and puerperium (ICD-MM). Out of 424 deaths of WRA, 151 were MD giving a Maternal Mortality Ratio (MMR) of 363 per 100,000 live births (95 % CI: 307-425). Only 86 MD had been reported via existing reporting mechanisms representing an underreporting of 43 %. The majority of MD (62.3 %) occurred in a health facility and were the result of direct obstetric causes (74.8 %) with obstetric haemorrhage as the leading cause (35.8 %), followed by pregnancy-related infections (19.4 %), hypertensive disorders (16.8 %) and pregnancy with abortive outcome (13.2 %). Malaria was the most frequently identified indirect cause (9.9 %). Contributing conditions were more frequently identified when both verbal autopsy and facility-based death review had taken place and included obstructed labour (28.5 %), anaemia (12.6 %) and positive HIV status (4.0 %). The high number of MD that occur at health facility level, cause of death and contributing conditions reflect deficiencies in the quality of care at health facility level. A RAMOS is feasible in low- and middle-income settings and provides contemporaneous estimates of MMR.</description><identifier>ISSN: 1471-2393</identifier><identifier>EISSN: 1471-2393</identifier><identifier>DOI: 10.1186/s12884-016-1084-8</identifier><identifier>PMID: 27687243</identifier><language>eng</language><publisher>England: BioMed Central</publisher><subject>Age ; Births ; Censuses ; Estimates ; Health facilities ; Health surveys ; Immunization ; Low income groups ; Maternal mortality ; Newborn babies ; Obstetrics ; Registration ; Vaccines ; Womens health</subject><ispartof>BMC pregnancy and childbirth, 2016-09, Vol.16 (1), p.291-291, Article 291</ispartof><rights>2016. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s). 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c494t-38a98d1d21dd9c8080d89af2292e71989bc66f7ba7d4fbd5c94b0a0df8b278b83</citedby><cites>FETCH-LOGICAL-c494t-38a98d1d21dd9c8080d89af2292e71989bc66f7ba7d4fbd5c94b0a0df8b278b83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5041536/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2209720621?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25732,27903,27904,36991,36992,44569,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27687243$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mgawadere, Florence</creatorcontrib><creatorcontrib>Unkels, Regine</creatorcontrib><creatorcontrib>Adegoke, Adetoro</creatorcontrib><creatorcontrib>van den Broek, Nynke</creatorcontrib><title>Measuring maternal mortality using a Reproductive Age Mortality Study (RAMOS)</title><title>BMC pregnancy and childbirth</title><addtitle>BMC Pregnancy Childbirth</addtitle><description>Assessing the feasibility of conducting a prospective Reproductive Age Mortality Survey (RAMOS) study in the low-income setting of Mangochi District, Malawi to obtain cotemporaneous estimates of the number, cause of and conditions associated with maternal deaths (MD) in all women of reproductive age (WRA) (n = 207 688). MD among all deaths of WRA were identified using the ICD-10 definition. Cause of death and contributing conditions identified by a panel of experts using the classification system for deaths during pregnancy, childbirth and puerperium (ICD-MM). Out of 424 deaths of WRA, 151 were MD giving a Maternal Mortality Ratio (MMR) of 363 per 100,000 live births (95 % CI: 307-425). Only 86 MD had been reported via existing reporting mechanisms representing an underreporting of 43 %. The majority of MD (62.3 %) occurred in a health facility and were the result of direct obstetric causes (74.8 %) with obstetric haemorrhage as the leading cause (35.8 %), followed by pregnancy-related infections (19.4 %), hypertensive disorders (16.8 %) and pregnancy with abortive outcome (13.2 %). Malaria was the most frequently identified indirect cause (9.9 %). Contributing conditions were more frequently identified when both verbal autopsy and facility-based death review had taken place and included obstructed labour (28.5 %), anaemia (12.6 %) and positive HIV status (4.0 %). The high number of MD that occur at health facility level, cause of death and contributing conditions reflect deficiencies in the quality of care at health facility level. A RAMOS is feasible in low- and middle-income settings and provides contemporaneous estimates of MMR.</description><subject>Age</subject><subject>Births</subject><subject>Censuses</subject><subject>Estimates</subject><subject>Health facilities</subject><subject>Health surveys</subject><subject>Immunization</subject><subject>Low income groups</subject><subject>Maternal mortality</subject><subject>Newborn babies</subject><subject>Obstetrics</subject><subject>Registration</subject><subject>Vaccines</subject><subject>Womens health</subject><issn>1471-2393</issn><issn>1471-2393</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdkUtLxDAQx4MoPlY_gBcpeNFDNZOmzeQiLOILLAs-ziFt0rXSx5q0C_vtbdl1UU8zML_8mcmPkFOgVwCYXHtgiDykkIRAhwZ3yCFwASGLZLT7qz8gR95_UgoCY7pPDphIUDAeHZI0tdr3rmzmQa076xpdBXXrOl2V3Sro_TjQwYtduNb0eVcubTCd2yDdIq9db1bBxcs0nb1eHpO9QlfenmzqhLzf373dPobPs4en2-lzmHPJuzBCLdGAYWCMzJEiNSh1wZhkVoBEmeVJUohMC8OLzMS55BnV1BSYMYEZRhNys85d9FltTW6bzulKLVxZa7dSrS7V30lTfqh5u1Qx5RBHyRBwsQlw7Vdvfafq0ue2qnRj294rwCjmFAWO6Pk_9LPtx3_yijEqBaMJg4GCNZW71ntni-0yQNUoS61lqUGWGmWp8Yqz31dsX_zYib4ByfyQGg</recordid><startdate>20160929</startdate><enddate>20160929</enddate><creator>Mgawadere, Florence</creator><creator>Unkels, Regine</creator><creator>Adegoke, Adetoro</creator><creator>van den Broek, Nynke</creator><general>BioMed Central</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160929</creationdate><title>Measuring maternal mortality using a Reproductive Age Mortality Study (RAMOS)</title><author>Mgawadere, Florence ; Unkels, Regine ; Adegoke, Adetoro ; van den Broek, Nynke</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c494t-38a98d1d21dd9c8080d89af2292e71989bc66f7ba7d4fbd5c94b0a0df8b278b83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Age</topic><topic>Births</topic><topic>Censuses</topic><topic>Estimates</topic><topic>Health facilities</topic><topic>Health surveys</topic><topic>Immunization</topic><topic>Low income groups</topic><topic>Maternal mortality</topic><topic>Newborn babies</topic><topic>Obstetrics</topic><topic>Registration</topic><topic>Vaccines</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mgawadere, Florence</creatorcontrib><creatorcontrib>Unkels, Regine</creatorcontrib><creatorcontrib>Adegoke, Adetoro</creatorcontrib><creatorcontrib>van den Broek, Nynke</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing &amp; Allied Health Source</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC pregnancy and childbirth</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mgawadere, Florence</au><au>Unkels, Regine</au><au>Adegoke, Adetoro</au><au>van den Broek, Nynke</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measuring maternal mortality using a Reproductive Age Mortality Study (RAMOS)</atitle><jtitle>BMC pregnancy and childbirth</jtitle><addtitle>BMC Pregnancy Childbirth</addtitle><date>2016-09-29</date><risdate>2016</risdate><volume>16</volume><issue>1</issue><spage>291</spage><epage>291</epage><pages>291-291</pages><artnum>291</artnum><issn>1471-2393</issn><eissn>1471-2393</eissn><abstract>Assessing the feasibility of conducting a prospective Reproductive Age Mortality Survey (RAMOS) study in the low-income setting of Mangochi District, Malawi to obtain cotemporaneous estimates of the number, cause of and conditions associated with maternal deaths (MD) in all women of reproductive age (WRA) (n = 207 688). MD among all deaths of WRA were identified using the ICD-10 definition. Cause of death and contributing conditions identified by a panel of experts using the classification system for deaths during pregnancy, childbirth and puerperium (ICD-MM). Out of 424 deaths of WRA, 151 were MD giving a Maternal Mortality Ratio (MMR) of 363 per 100,000 live births (95 % CI: 307-425). Only 86 MD had been reported via existing reporting mechanisms representing an underreporting of 43 %. The majority of MD (62.3 %) occurred in a health facility and were the result of direct obstetric causes (74.8 %) with obstetric haemorrhage as the leading cause (35.8 %), followed by pregnancy-related infections (19.4 %), hypertensive disorders (16.8 %) and pregnancy with abortive outcome (13.2 %). Malaria was the most frequently identified indirect cause (9.9 %). Contributing conditions were more frequently identified when both verbal autopsy and facility-based death review had taken place and included obstructed labour (28.5 %), anaemia (12.6 %) and positive HIV status (4.0 %). The high number of MD that occur at health facility level, cause of death and contributing conditions reflect deficiencies in the quality of care at health facility level. A RAMOS is feasible in low- and middle-income settings and provides contemporaneous estimates of MMR.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>27687243</pmid><doi>10.1186/s12884-016-1084-8</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1471-2393
ispartof BMC pregnancy and childbirth, 2016-09, Vol.16 (1), p.291-291, Article 291
issn 1471-2393
1471-2393
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5041536
source Publicly Available Content (ProQuest); PubMed
subjects Age
Births
Censuses
Estimates
Health facilities
Health surveys
Immunization
Low income groups
Maternal mortality
Newborn babies
Obstetrics
Registration
Vaccines
Womens health
title Measuring maternal mortality using a Reproductive Age Mortality Study (RAMOS)
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T00%3A19%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Measuring%20maternal%20mortality%20using%20a%20Reproductive%20Age%20Mortality%20Study%20(RAMOS)&rft.jtitle=BMC%20pregnancy%20and%20childbirth&rft.au=Mgawadere,%20Florence&rft.date=2016-09-29&rft.volume=16&rft.issue=1&rft.spage=291&rft.epage=291&rft.pages=291-291&rft.artnum=291&rft.issn=1471-2393&rft.eissn=1471-2393&rft_id=info:doi/10.1186/s12884-016-1084-8&rft_dat=%3Cproquest_pubme%3E1835408786%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c494t-38a98d1d21dd9c8080d89af2292e71989bc66f7ba7d4fbd5c94b0a0df8b278b83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2209720621&rft_id=info:pmid/27687243&rfr_iscdi=true