Risk factors for perinatal mortality in Peruvian social security hospitals: EsSalud’s Perinatal Surveillance System data analysis
Descripción del Articulo
This study uses information from the Perinatal Surveillance System (Sistema de Vigilancia Perinatal, SVP) of the Peruvian social security hospitals (EsSalud) to identify risk factors for perinatal mortality. The SVP includes health centers in all the country with different levels of hospital care. T...
Autores: | , |
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Formato: | artículo |
Fecha de Publicación: | 2009 |
Institución: | Universidad Nacional Mayor de San Marcos |
Repositorio: | Revistas - Universidad Nacional Mayor de San Marcos |
Lenguaje: | español |
OAI Identifier: | oai:ojs.csi.unmsm:article/923 |
Enlace del recurso: | https://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/923 |
Nivel de acceso: | acceso abierto |
Materia: | Mortalidad perinatal hospitales factores de riesgo salud infantil Perú. Perinatal mortality hospitals risk factors child welfare Peru. |
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Revistas - Universidad Nacional Mayor de San Marcos |
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dc.title.none.fl_str_mv |
Risk factors for perinatal mortality in Peruvian social security hospitals: EsSalud’s Perinatal Surveillance System data analysis Factores de riesgo de mortalidad perinatal en hospitales de la seguridad social peruana: análisis de los datos del Sistema de Vigilancia Perinatal de EsSalud |
title |
Risk factors for perinatal mortality in Peruvian social security hospitals: EsSalud’s Perinatal Surveillance System data analysis |
spellingShingle |
Risk factors for perinatal mortality in Peruvian social security hospitals: EsSalud’s Perinatal Surveillance System data analysis Arrieta-Herrera, Alejandro Mortalidad perinatal hospitales factores de riesgo salud infantil Perú. Perinatal mortality hospitals risk factors child welfare Peru. |
title_short |
Risk factors for perinatal mortality in Peruvian social security hospitals: EsSalud’s Perinatal Surveillance System data analysis |
title_full |
Risk factors for perinatal mortality in Peruvian social security hospitals: EsSalud’s Perinatal Surveillance System data analysis |
title_fullStr |
Risk factors for perinatal mortality in Peruvian social security hospitals: EsSalud’s Perinatal Surveillance System data analysis |
title_full_unstemmed |
Risk factors for perinatal mortality in Peruvian social security hospitals: EsSalud’s Perinatal Surveillance System data analysis |
title_sort |
Risk factors for perinatal mortality in Peruvian social security hospitals: EsSalud’s Perinatal Surveillance System data analysis |
dc.creator.none.fl_str_mv |
Arrieta-Herrera, Alejandro Riesco de la Vega, Gloria |
author |
Arrieta-Herrera, Alejandro |
author_facet |
Arrieta-Herrera, Alejandro Riesco de la Vega, Gloria |
author_role |
author |
author2 |
Riesco de la Vega, Gloria |
author2_role |
author |
dc.subject.none.fl_str_mv |
Mortalidad perinatal hospitales factores de riesgo salud infantil Perú. Perinatal mortality hospitals risk factors child welfare Peru. |
topic |
Mortalidad perinatal hospitales factores de riesgo salud infantil Perú. Perinatal mortality hospitals risk factors child welfare Peru. |
description |
This study uses information from the Perinatal Surveillance System (Sistema de Vigilancia Perinatal, SVP) of the Peruvian social security hospitals (EsSalud) to identify risk factors for perinatal mortality. The SVP includes health centers in all the country with different levels of hospital care. The study groups hospitals based on higher or lower levels of care in order to quantify the incidence of risk factors in each group. Finally, the study highlights the importance to keep an efficient clinical database that could be integrated with other health organizations in the country, in order to joint efforts to reduce perinatal mortality in Peru. Objectives: The first goal was to find the main risk factors for perinatal mortality in EsSalud’s hospitals. The second goal was to identify differences in the incidence of these factors on hospitals with higher and lower levels of care. Design: Descriptive, comparative and transversal study. Setting: EsSalud national hospitals net, Peru. Participants: Mothers and their newborns. Interventions: Clinical data from the SVP was used to estimate probability of death during the perinatal period; 108 813 newborns and their mothers whose deliveries were in years 2005 and 2006 were studied. Estimations were based on multivariate logistic models. Main outcome measures: Perinatal mortality. Results: Congenital anomaly was the most important risk factor for perinatal mortality in hospitals of lower and higher level of care (OR=30,99 and 15,26 respectively), followed by prematurity below 32 weeks (OR=15,68 and 4,20) and weight above 4 000 grams (OR=4,17 and 3,87). Maternal risk factors were also associated with perinatal mortality but with a lower incidence. The most important were genital bleeding after 24 weeks of pregnancy (OR=4,23 and 3,81), and other obstetric entities different from anemia, preeclampsia, and premature membrane rupture (OR=4,53 and 1,76). Conclusions: Risk factors identified in this study are consistent with medical literature on perinatal mortality. In hospitals with higher level of care the incidence of risk factors on mortality is lower, even though they concentrate the most risky patients and consequently the highest mortality. Hospitals with lower level of care require to focus resources on main risk factors, and to improve their referral systems. EsSalud’s SVP is a valid, consistent and useful tool to monitor and control perinatal mortality. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-12-31 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/923 10.15381/anales.v70i4.923 |
url |
https://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/923 |
identifier_str_mv |
10.15381/anales.v70i4.923 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/923/748 |
dc.rights.none.fl_str_mv |
Derechos de autor 2009 Alejandro Arrieta-Herrera1, Gloria Riesco de la Vega2 https://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Derechos de autor 2009 Alejandro Arrieta-Herrera1, Gloria Riesco de la Vega2 https://creativecommons.org/licenses/by-nc-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad Nacional Mayor de San Marcos, Facultad de Medicina Humana |
publisher.none.fl_str_mv |
Universidad Nacional Mayor de San Marcos, Facultad de Medicina Humana |
dc.source.none.fl_str_mv |
Anales de la Facultad de Medicina; Vol. 70 No. 4 (2009); 241-246 Anales de la Facultad de Medicina; Vol. 70 Núm. 4 (2009); 241-246 1609-9419 1025-5583 reponame:Revistas - Universidad Nacional Mayor de San Marcos instname:Universidad Nacional Mayor de San Marcos instacron:UNMSM |
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Universidad Nacional Mayor de San Marcos |
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UNMSM |
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UNMSM |
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Revistas - Universidad Nacional Mayor de San Marcos |
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Revistas - Universidad Nacional Mayor de San Marcos |
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1795238240244989952 |
spelling |
Risk factors for perinatal mortality in Peruvian social security hospitals: EsSalud’s Perinatal Surveillance System data analysisFactores de riesgo de mortalidad perinatal en hospitales de la seguridad social peruana: análisis de los datos del Sistema de Vigilancia Perinatal de EsSaludArrieta-Herrera, AlejandroRiesco de la Vega, GloriaMortalidad perinatalhospitalesfactores de riesgosalud infantilPerú.Perinatal mortalityhospitalsrisk factorschild welfarePeru.This study uses information from the Perinatal Surveillance System (Sistema de Vigilancia Perinatal, SVP) of the Peruvian social security hospitals (EsSalud) to identify risk factors for perinatal mortality. The SVP includes health centers in all the country with different levels of hospital care. The study groups hospitals based on higher or lower levels of care in order to quantify the incidence of risk factors in each group. Finally, the study highlights the importance to keep an efficient clinical database that could be integrated with other health organizations in the country, in order to joint efforts to reduce perinatal mortality in Peru. Objectives: The first goal was to find the main risk factors for perinatal mortality in EsSalud’s hospitals. The second goal was to identify differences in the incidence of these factors on hospitals with higher and lower levels of care. Design: Descriptive, comparative and transversal study. Setting: EsSalud national hospitals net, Peru. Participants: Mothers and their newborns. Interventions: Clinical data from the SVP was used to estimate probability of death during the perinatal period; 108 813 newborns and their mothers whose deliveries were in years 2005 and 2006 were studied. Estimations were based on multivariate logistic models. Main outcome measures: Perinatal mortality. Results: Congenital anomaly was the most important risk factor for perinatal mortality in hospitals of lower and higher level of care (OR=30,99 and 15,26 respectively), followed by prematurity below 32 weeks (OR=15,68 and 4,20) and weight above 4 000 grams (OR=4,17 and 3,87). Maternal risk factors were also associated with perinatal mortality but with a lower incidence. The most important were genital bleeding after 24 weeks of pregnancy (OR=4,23 and 3,81), and other obstetric entities different from anemia, preeclampsia, and premature membrane rupture (OR=4,53 and 1,76). Conclusions: Risk factors identified in this study are consistent with medical literature on perinatal mortality. In hospitals with higher level of care the incidence of risk factors on mortality is lower, even though they concentrate the most risky patients and consequently the highest mortality. Hospitals with lower level of care require to focus resources on main risk factors, and to improve their referral systems. EsSalud’s SVP is a valid, consistent and useful tool to monitor and control perinatal mortality.Introducción: El estudio utiliza la información del Sistema de Vigilancia Perinatal (SVP) de la red hospitalaria del Seguro Social de Salud del Perú (EsSalud) para identificar factores de riesgo que inciden en la mortalidad perinatal. El SVP incluye policlínicos y hospitales en todo el Perú, con diferentes niveles de capacidad resolutiva. El estudio agrupa hospitales según mayor y menor capacidad de resolución, para investigar la magnitud de la incidencia de los factores de riesgo en cada grupo. Finalmente, el estudio resalta la importancia de mantener un sistema de información perinatal eficiente y ágil que pueda ser integrado entre diferentes redes de salud en el país, con el objetivo de reducir la mortalidad perinatal nacional. Objetivos: El primer objetivo fue encontrar los principales factores de riesgo de mortalidad perinatal en la red hospitalaria de EsSalud. El segundo objetivo fue identificar diferencias en la magnitud de la incidencia de dichos factores en hospitales de menor y mayor capacidad resolutiva. Diseño: Estudio descriptivo, comparativo y transversal. Lugar: Red nacional de hospitales de EsSalud, Perú. Participantes: Madres y sus recién nacidos. Intervenciones: Se utilizó información clínica del SVP de EsSalud para estimar probabilidad de muerte perinatal, basado en un modelo logístico multivariado, que incluyó 108 813 nacimientos correspondientes a madres y sus recién nacidos en EsSalud, en los años 2005 y 2006. Principales medidas de resultados: Muertes perinatales. Resultados: La anomalía congénita fue el principal factor de riesgo de la mortalidad perinatal en los hospitales de menor y mayor capacidad resolutiva (OR=30,99 y 15,26, respectivamente), seguido por prematuridad menor a 32 semanas (OR=15,68 y 4,20) y peso mayor a 4 000 gramos (OR=4,17 y 3,87). Factores de riesgo de la madre también resultaron asociados a mortalidad perinatal, pero en menor magnitud, resaltando el sangrado genital después de la semana 24 del embarazo (OR=4,23 y 3,81) y otras entidades obstétricas diferentes a anemia, preeclampsia y rotura prematura de membranas (OR=4,53 y 1,76). Conclusiones: Los factores de riesgo identificados son consistentes con la literatura sobre mortalidad perinatal. En los hospitales con mayor capacidad resolutiva, la incidencia de los factores de riesgo sobre mortalidad es menor, a pesar de que estos concentran pacientes con riesgo obstétrico alto y por tanto mayor mortalidad. Los hospitales de menor capacidad resolutiva requieren focalizar recursos más adecuadamente y mejorar sus sistemas de referencias. El SVP de EsSalud resulta una herramienta válida, consistente y útil para un mejor monitoreo y control de la mortalidad perinatal.Universidad Nacional Mayor de San Marcos, Facultad de Medicina Humana2009-12-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/92310.15381/anales.v70i4.923Anales de la Facultad de Medicina; Vol. 70 No. 4 (2009); 241-246Anales de la Facultad de Medicina; Vol. 70 Núm. 4 (2009); 241-2461609-94191025-5583reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/923/748Derechos de autor 2009 Alejandro Arrieta-Herrera1, Gloria Riesco de la Vega2https://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/9232020-04-15T17:33:21Z |
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13.961801 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).