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
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/40486
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:09:47Zoai: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:34982025-09-29 10:09:48.236CONICET 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 |
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2017-05 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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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 |
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eng |
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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 |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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