Maternal near miss in low-resource areas

Autores
Goldenberg, Robert L.; Saleem, Sarah; Ali, Sumera; Lokangako, Adrien; Moore, Janet L.; Tshefu, Antoinette; Mwenechanya, Musaku; Chomba, Elwyn; Garces, Ana; Figueroa, Lester; Goudar, Shivaprasad; Kodkany, Bhalachandra; Patel, Archana; Esamai, Fabian; Nsyonge, Paul; Harrison, Margo S.; Bauserman, Melissa; Bose, Carl L.; Krebs, Nancy F.; Hambidge, K. Michael; Derman, Richard J.; Hibberd, Patricia L.; Liechty, Edward A.; Wallace, Dennis D.; Belizan, Jose; Miodovnik, Menachem; Koso-Thomas, Marion; Carlo, Waldemar A.; Jobe, Alan H.; McClure, Elizabeth M.
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
OBJECTIVE:To describe the Global Network Near-Miss Maternal Mortality System and its application in seven sites.METHODS:In a population-based study, pregnant women eligible for enrollment in the Maternal and Newborn Health Registry at seven sites (Democratic Republic of the Congo; Guatemala; Belagavi and Nagpur, India; Kenya; Pakistan; and Zambia) between January 2014 and April 2016 were screened to identify those likely to have a near-miss event. The WHO maternal near-miss criteria were modified for low-resource settings. The ratio of near-miss events to maternal deaths was calculated.RESULTS:Among 122 707 women screened, 18 307 (15.0%) had a potential near-miss event, of whom 4866 (26.6%; 4.0% of all women) had a near-miss maternal event. The overall maternal mortality ratio was 155 per 100 000 live births. The ratio of near-miss events to maternal deaths was 26 to 1. The most common factors involved in near-miss cases were the hematologic/coagulation system, infection, and cardiovascular system.CONCLUSION:By using the Global Network Near-Miss Maternal Mortality System, large numbers of women were screened for near-miss events, including those delivering at home or a low-level maternity clinic. The 4.0% incidence of near-miss maternal mortality is similar to previously reported data. The ratio of 26 near-miss cases to 1 maternal death suggests that near miss might evaluate the impact of interventions more efficiently than maternal mortality.
Fil: Goldenberg, Robert L.. Columbia University; Estados Unidos
Fil: Saleem, Sarah. Aga Khan University; Anguila
Fil: Ali, Sumera. Aga Khan University; Pakistán
Fil: Lokangako, Adrien. University Of Kinshasa; República Democrática del Congo
Fil: Moore, Janet L.. Rti International; Reino Unido
Fil: Tshefu, Antoinette. University Of Kinshasa; República Democrática del Congo
Fil: Mwenechanya, Musaku. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Chomba, Elwyn. University Of Zambia; Zambia
Fil: Garces, Ana. Incap; Guatemala
Fil: Figueroa, Lester. Incap; Guatemala
Fil: Goudar, Shivaprasad. University Belagavi; India
Fil: Kodkany, Bhalachandra. University Belagavi; India
Fil: Patel, Archana. Lata Medical Research Foundation; India
Fil: Esamai, Fabian. Moi University; Kenia
Fil: Nsyonge, Paul. Moi University; Kenia
Fil: Harrison, Margo S.. Columbia University; Estados Unidos
Fil: Bauserman, Melissa. University of North Carolina; Estados Unidos
Fil: Bose, Carl L.. University of North Carolina; Estados Unidos
Fil: Krebs, Nancy F.. State University of Colorado Boulder; Estados Unidos
Fil: Hambidge, K. Michael. State University of Colorado Boulder; Estados Unidos
Fil: Derman, Richard J.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Hibberd, Patricia L.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Liechty, Edward A.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Wallace, Dennis D.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Belizan, Jose. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Miodovnik, Menachem. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Koso-Thomas, Marion. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Carlo, Waldemar A.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Jobe, Alan H.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: McClure, Elizabeth M.. Public Health Service. National Institute Of Health; Estados Unidos
Materia
Low- And Middle-Income Countries
Maternal Mortality
Maternal Near Miss
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/40486

id CONICETDig_cf8ca834af72ae61ca651368eacd9093
oai_identifier_str oai:ri.conicet.gov.ar:11336/40486
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Maternal near miss in low-resource areasGoldenberg, Robert L.Saleem, SarahAli, SumeraLokangako, AdrienMoore, Janet L.Tshefu, AntoinetteMwenechanya, MusakuChomba, ElwynGarces, AnaFigueroa, LesterGoudar, ShivaprasadKodkany, BhalachandraPatel, ArchanaEsamai, FabianNsyonge, PaulHarrison, Margo S.Bauserman, MelissaBose, Carl L.Krebs, Nancy F.Hambidge, K. MichaelDerman, Richard J.Hibberd, Patricia L.Liechty, Edward A.Wallace, Dennis D.Belizan, JoseMiodovnik, MenachemKoso-Thomas, MarionCarlo, Waldemar A.Jobe, Alan H.McClure, Elizabeth M.Low- And Middle-Income CountriesMaternal MortalityMaternal Near Misshttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3OBJECTIVE:To describe the Global Network Near-Miss Maternal Mortality System and its application in seven sites.METHODS:In a population-based study, pregnant women eligible for enrollment in the Maternal and Newborn Health Registry at seven sites (Democratic Republic of the Congo; Guatemala; Belagavi and Nagpur, India; Kenya; Pakistan; and Zambia) between January 2014 and April 2016 were screened to identify those likely to have a near-miss event. The WHO maternal near-miss criteria were modified for low-resource settings. The ratio of near-miss events to maternal deaths was calculated.RESULTS:Among 122 707 women screened, 18 307 (15.0%) had a potential near-miss event, of whom 4866 (26.6%; 4.0% of all women) had a near-miss maternal event. The overall maternal mortality ratio was 155 per 100 000 live births. The ratio of near-miss events to maternal deaths was 26 to 1. The most common factors involved in near-miss cases were the hematologic/coagulation system, infection, and cardiovascular system.CONCLUSION:By using the Global Network Near-Miss Maternal Mortality System, large numbers of women were screened for near-miss events, including those delivering at home or a low-level maternity clinic. The 4.0% incidence of near-miss maternal mortality is similar to previously reported data. The ratio of 26 near-miss cases to 1 maternal death suggests that near miss might evaluate the impact of interventions more efficiently than maternal mortality.Fil: Goldenberg, Robert L.. Columbia University; Estados UnidosFil: Saleem, Sarah. Aga Khan University; AnguilaFil: Ali, Sumera. Aga Khan University; PakistánFil: Lokangako, Adrien. University Of Kinshasa; República Democrática del CongoFil: Moore, Janet L.. Rti International; Reino UnidoFil: Tshefu, Antoinette. University Of Kinshasa; República Democrática del CongoFil: Mwenechanya, Musaku. Public Health Service. National Institute Of Health; Estados UnidosFil: Chomba, Elwyn. University Of Zambia; ZambiaFil: Garces, Ana. Incap; GuatemalaFil: Figueroa, Lester. Incap; GuatemalaFil: Goudar, Shivaprasad. University Belagavi; IndiaFil: Kodkany, Bhalachandra. University Belagavi; IndiaFil: Patel, Archana. Lata Medical Research Foundation; IndiaFil: Esamai, Fabian. Moi University; KeniaFil: Nsyonge, Paul. Moi University; KeniaFil: Harrison, Margo S.. Columbia University; Estados UnidosFil: Bauserman, Melissa. University of North Carolina; Estados UnidosFil: Bose, Carl L.. University of North Carolina; Estados UnidosFil: Krebs, Nancy F.. State University of Colorado Boulder; Estados UnidosFil: Hambidge, K. Michael. State University of Colorado Boulder; Estados UnidosFil: Derman, Richard J.. Public Health Service. National Institute Of Health; Estados UnidosFil: Hibberd, Patricia L.. Public Health Service. National Institute Of Health; Estados UnidosFil: Liechty, Edward A.. Public Health Service. National Institute Of Health; Estados UnidosFil: Wallace, Dennis D.. Public Health Service. National Institute Of Health; Estados UnidosFil: Belizan, Jose. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Miodovnik, Menachem. Public Health Service. National Institute Of Health; Estados UnidosFil: Koso-Thomas, Marion. Public Health Service. National Institute Of Health; Estados UnidosFil: Carlo, Waldemar A.. Public Health Service. National Institute Of Health; Estados UnidosFil: Jobe, Alan H.. Public Health Service. National Institute Of Health; Estados UnidosFil: McClure, Elizabeth M.. Public Health Service. National Institute Of Health; Estados UnidosWiley2017-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/pdfhttp://hdl.handle.net/11336/40486Goldenberg, Robert L.; Saleem, Sarah; Ali, Sumera; Lokangako, Adrien; Moore, Janet L.; et al.; Maternal near miss in low-resource areas; Wiley; International Journal of Gynecology Obstetrics; 138; 3; 5-2017; 347-3551879-3479CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/ijgo.12219info:eu-repo/semantics/altIdentifier/url/https://obgyn.onlinelibrary.wiley.com/doi/abs/10.1002/ijgo.12219info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:59:39Zoai:ri.conicet.gov.ar:11336/40486instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:59:39.978CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Maternal near miss in low-resource areas
title Maternal near miss in low-resource areas
spellingShingle Maternal near miss in low-resource areas
Goldenberg, Robert L.
Low- And Middle-Income Countries
Maternal Mortality
Maternal Near Miss
title_short Maternal near miss in low-resource areas
title_full Maternal near miss in low-resource areas
title_fullStr Maternal near miss in low-resource areas
title_full_unstemmed Maternal near miss in low-resource areas
title_sort Maternal near miss in low-resource areas
dc.creator.none.fl_str_mv Goldenberg, Robert L.
Saleem, Sarah
Ali, Sumera
Lokangako, Adrien
Moore, Janet L.
Tshefu, Antoinette
Mwenechanya, Musaku
Chomba, Elwyn
Garces, Ana
Figueroa, Lester
Goudar, Shivaprasad
Kodkany, Bhalachandra
Patel, Archana
Esamai, Fabian
Nsyonge, Paul
Harrison, Margo S.
Bauserman, Melissa
Bose, Carl L.
Krebs, Nancy F.
Hambidge, K. Michael
Derman, Richard J.
Hibberd, Patricia L.
Liechty, Edward A.
Wallace, Dennis D.
Belizan, Jose
Miodovnik, Menachem
Koso-Thomas, Marion
Carlo, Waldemar A.
Jobe, Alan H.
McClure, Elizabeth M.
author Goldenberg, Robert L.
author_facet Goldenberg, Robert L.
Saleem, Sarah
Ali, Sumera
Lokangako, Adrien
Moore, Janet L.
Tshefu, Antoinette
Mwenechanya, Musaku
Chomba, Elwyn
Garces, Ana
Figueroa, Lester
Goudar, Shivaprasad
Kodkany, Bhalachandra
Patel, Archana
Esamai, Fabian
Nsyonge, Paul
Harrison, Margo S.
Bauserman, Melissa
Bose, Carl L.
Krebs, Nancy F.
Hambidge, K. Michael
Derman, Richard J.
Hibberd, Patricia L.
Liechty, Edward A.
Wallace, Dennis D.
Belizan, Jose
Miodovnik, Menachem
Koso-Thomas, Marion
Carlo, Waldemar A.
Jobe, Alan H.
McClure, Elizabeth M.
author_role author
author2 Saleem, Sarah
Ali, Sumera
Lokangako, Adrien
Moore, Janet L.
Tshefu, Antoinette
Mwenechanya, Musaku
Chomba, Elwyn
Garces, Ana
Figueroa, Lester
Goudar, Shivaprasad
Kodkany, Bhalachandra
Patel, Archana
Esamai, Fabian
Nsyonge, Paul
Harrison, Margo S.
Bauserman, Melissa
Bose, Carl L.
Krebs, Nancy F.
Hambidge, K. Michael
Derman, Richard J.
Hibberd, Patricia L.
Liechty, Edward A.
Wallace, Dennis D.
Belizan, Jose
Miodovnik, Menachem
Koso-Thomas, Marion
Carlo, Waldemar A.
Jobe, Alan H.
McClure, Elizabeth M.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Low- And Middle-Income Countries
Maternal Mortality
Maternal Near Miss
topic Low- And Middle-Income Countries
Maternal Mortality
Maternal Near Miss
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv OBJECTIVE:To describe the Global Network Near-Miss Maternal Mortality System and its application in seven sites.METHODS:In a population-based study, pregnant women eligible for enrollment in the Maternal and Newborn Health Registry at seven sites (Democratic Republic of the Congo; Guatemala; Belagavi and Nagpur, India; Kenya; Pakistan; and Zambia) between January 2014 and April 2016 were screened to identify those likely to have a near-miss event. The WHO maternal near-miss criteria were modified for low-resource settings. The ratio of near-miss events to maternal deaths was calculated.RESULTS:Among 122 707 women screened, 18 307 (15.0%) had a potential near-miss event, of whom 4866 (26.6%; 4.0% of all women) had a near-miss maternal event. The overall maternal mortality ratio was 155 per 100 000 live births. The ratio of near-miss events to maternal deaths was 26 to 1. The most common factors involved in near-miss cases were the hematologic/coagulation system, infection, and cardiovascular system.CONCLUSION:By using the Global Network Near-Miss Maternal Mortality System, large numbers of women were screened for near-miss events, including those delivering at home or a low-level maternity clinic. The 4.0% incidence of near-miss maternal mortality is similar to previously reported data. The ratio of 26 near-miss cases to 1 maternal death suggests that near miss might evaluate the impact of interventions more efficiently than maternal mortality.
Fil: Goldenberg, Robert L.. Columbia University; Estados Unidos
Fil: Saleem, Sarah. Aga Khan University; Anguila
Fil: Ali, Sumera. Aga Khan University; Pakistán
Fil: Lokangako, Adrien. University Of Kinshasa; República Democrática del Congo
Fil: Moore, Janet L.. Rti International; Reino Unido
Fil: Tshefu, Antoinette. University Of Kinshasa; República Democrática del Congo
Fil: Mwenechanya, Musaku. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Chomba, Elwyn. University Of Zambia; Zambia
Fil: Garces, Ana. Incap; Guatemala
Fil: Figueroa, Lester. Incap; Guatemala
Fil: Goudar, Shivaprasad. University Belagavi; India
Fil: Kodkany, Bhalachandra. University Belagavi; India
Fil: Patel, Archana. Lata Medical Research Foundation; India
Fil: Esamai, Fabian. Moi University; Kenia
Fil: Nsyonge, Paul. Moi University; Kenia
Fil: Harrison, Margo S.. Columbia University; Estados Unidos
Fil: Bauserman, Melissa. University of North Carolina; Estados Unidos
Fil: Bose, Carl L.. University of North Carolina; Estados Unidos
Fil: Krebs, Nancy F.. State University of Colorado Boulder; Estados Unidos
Fil: Hambidge, K. Michael. State University of Colorado Boulder; Estados Unidos
Fil: Derman, Richard J.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Hibberd, Patricia L.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Liechty, Edward A.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Wallace, Dennis D.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Belizan, Jose. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Miodovnik, Menachem. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Koso-Thomas, Marion. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Carlo, Waldemar A.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Jobe, Alan H.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: McClure, Elizabeth M.. Public Health Service. National Institute Of Health; Estados Unidos
description OBJECTIVE:To describe the Global Network Near-Miss Maternal Mortality System and its application in seven sites.METHODS:In a population-based study, pregnant women eligible for enrollment in the Maternal and Newborn Health Registry at seven sites (Democratic Republic of the Congo; Guatemala; Belagavi and Nagpur, India; Kenya; Pakistan; and Zambia) between January 2014 and April 2016 were screened to identify those likely to have a near-miss event. The WHO maternal near-miss criteria were modified for low-resource settings. The ratio of near-miss events to maternal deaths was calculated.RESULTS:Among 122 707 women screened, 18 307 (15.0%) had a potential near-miss event, of whom 4866 (26.6%; 4.0% of all women) had a near-miss maternal event. The overall maternal mortality ratio was 155 per 100 000 live births. The ratio of near-miss events to maternal deaths was 26 to 1. The most common factors involved in near-miss cases were the hematologic/coagulation system, infection, and cardiovascular system.CONCLUSION:By using the Global Network Near-Miss Maternal Mortality System, large numbers of women were screened for near-miss events, including those delivering at home or a low-level maternity clinic. The 4.0% incidence of near-miss maternal mortality is similar to previously reported data. The ratio of 26 near-miss cases to 1 maternal death suggests that near miss might evaluate the impact of interventions more efficiently than maternal mortality.
publishDate 2017
dc.date.none.fl_str_mv 2017-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/40486
Goldenberg, Robert L.; Saleem, Sarah; Ali, Sumera; Lokangako, Adrien; Moore, Janet L.; et al.; Maternal near miss in low-resource areas; Wiley; International Journal of Gynecology Obstetrics; 138; 3; 5-2017; 347-355
1879-3479
CONICET Digital
CONICET
url http://hdl.handle.net/11336/40486
identifier_str_mv Goldenberg, Robert L.; Saleem, Sarah; Ali, Sumera; Lokangako, Adrien; Moore, Janet L.; et al.; Maternal near miss in low-resource areas; Wiley; International Journal of Gynecology Obstetrics; 138; 3; 5-2017; 347-355
1879-3479
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1002/ijgo.12219
info:eu-repo/semantics/altIdentifier/url/https://obgyn.onlinelibrary.wiley.com/doi/abs/10.1002/ijgo.12219
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/vnd.openxmlformats-officedocument.wordprocessingml.document
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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