Risk factors for perinatal mortality in Peruvian social security hospitals: EsSalud’s Perinatal Surveillance System data analysis

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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...

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Detalles Bibliográficos
Autores: Arrieta-Herrera, Alejandro, Riesco de la Vega, Gloria
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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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
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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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