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Maternal near miss and predictive ability of potentially life-threatening conditions at selected maternity hospitals in Latin America

BACKGROUND: Every year millions of women around the world suffer from pregnancy, childbirth and postpartum complications. Women who survive the most serious clinical conditions are regarded as to have experienced a severe acute maternal complication called maternal near miss (MNM). Information about...

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Autores principales: De Mucio, Bremen, Abalos, Edgardo, Cuesta, Cristina, Carroli, Guillermo, Serruya, Suzanne, Giordano, Daniel, Martinez, Gerardo, Sosa, Claudio G., Souza, João Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5097347/
https://www.ncbi.nlm.nih.gov/pubmed/27814759
http://dx.doi.org/10.1186/s12978-016-0250-9
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author De Mucio, Bremen
Abalos, Edgardo
Cuesta, Cristina
Carroli, Guillermo
Serruya, Suzanne
Giordano, Daniel
Martinez, Gerardo
Sosa, Claudio G.
Souza, João Paulo
author_facet De Mucio, Bremen
Abalos, Edgardo
Cuesta, Cristina
Carroli, Guillermo
Serruya, Suzanne
Giordano, Daniel
Martinez, Gerardo
Sosa, Claudio G.
Souza, João Paulo
author_sort De Mucio, Bremen
collection PubMed
description BACKGROUND: Every year millions of women around the world suffer from pregnancy, childbirth and postpartum complications. Women who survive the most serious clinical conditions are regarded as to have experienced a severe acute maternal complication called maternal near miss (MNM). Information about MNM cases may complement the data collected through the analysis of maternal death, and was proposed as a helpful tool to identify strengths and weaknesses of health systems in relation to maternal health care. The purpose of this study is to evaluate the performance of a systematized form to detect severe maternal outcomes (SMO) in 20 selected maternity hospitals from Latin America (LAC). METHODS: Cross-sectional study. Data were obtained from analysis of hospital records for all women giving birth and all women who had a SMO in the selected hospitals. Univariate and multivariate adjusted logistic regression models were used to assess the predictive ability of different conditions to identify SMO cases. In parallel, external auditors were hired for reviewing and reporting the total number of discharges during the study period, in order to verify whether health professionals at health facilities identified all MNM and Potentially life-threatening condition (PLTC) cases. RESULTS: Twenty hospitals from twelve LAC were initially included in the study and based on the level of coverage, 11 hospitals with a total of 3,196records were included for the final analysis. The incidence of SMO and MNM outcomes was 12.9 and 12.3 per 1,000 live births, respectively. The ratio of MNM to maternal death was 19 to 1, with a mortality index of 5.1 %. Both univariate and multivariate analysis showed a good performance for a number of clinical and laboratory conditions to predict a severe maternal outcome, however, their clinical relevance remains to be confirmed. Coherence between health professionals and external auditors to identify SMO was high (around 100 %). CONCLUSIONS: The form tested, was well accepted by health professionals and was capable of identifying 100 % of MNM cases and more than 99 % of PLTC variables. Altered state of consciousness, oliguria, placenta accrete, pulmonary edema, and admission to Intensive Care Unit have a high (LR+ ≥80) capacity to anticipate a SMO. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12978-016-0250-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-50973472016-11-07 Maternal near miss and predictive ability of potentially life-threatening conditions at selected maternity hospitals in Latin America De Mucio, Bremen Abalos, Edgardo Cuesta, Cristina Carroli, Guillermo Serruya, Suzanne Giordano, Daniel Martinez, Gerardo Sosa, Claudio G. Souza, João Paulo Reprod Health Research BACKGROUND: Every year millions of women around the world suffer from pregnancy, childbirth and postpartum complications. Women who survive the most serious clinical conditions are regarded as to have experienced a severe acute maternal complication called maternal near miss (MNM). Information about MNM cases may complement the data collected through the analysis of maternal death, and was proposed as a helpful tool to identify strengths and weaknesses of health systems in relation to maternal health care. The purpose of this study is to evaluate the performance of a systematized form to detect severe maternal outcomes (SMO) in 20 selected maternity hospitals from Latin America (LAC). METHODS: Cross-sectional study. Data were obtained from analysis of hospital records for all women giving birth and all women who had a SMO in the selected hospitals. Univariate and multivariate adjusted logistic regression models were used to assess the predictive ability of different conditions to identify SMO cases. In parallel, external auditors were hired for reviewing and reporting the total number of discharges during the study period, in order to verify whether health professionals at health facilities identified all MNM and Potentially life-threatening condition (PLTC) cases. RESULTS: Twenty hospitals from twelve LAC were initially included in the study and based on the level of coverage, 11 hospitals with a total of 3,196records were included for the final analysis. The incidence of SMO and MNM outcomes was 12.9 and 12.3 per 1,000 live births, respectively. The ratio of MNM to maternal death was 19 to 1, with a mortality index of 5.1 %. Both univariate and multivariate analysis showed a good performance for a number of clinical and laboratory conditions to predict a severe maternal outcome, however, their clinical relevance remains to be confirmed. Coherence between health professionals and external auditors to identify SMO was high (around 100 %). CONCLUSIONS: The form tested, was well accepted by health professionals and was capable of identifying 100 % of MNM cases and more than 99 % of PLTC variables. Altered state of consciousness, oliguria, placenta accrete, pulmonary edema, and admission to Intensive Care Unit have a high (LR+ ≥80) capacity to anticipate a SMO. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12978-016-0250-9) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-04 /pmc/articles/PMC5097347/ /pubmed/27814759 http://dx.doi.org/10.1186/s12978-016-0250-9 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
De Mucio, Bremen
Abalos, Edgardo
Cuesta, Cristina
Carroli, Guillermo
Serruya, Suzanne
Giordano, Daniel
Martinez, Gerardo
Sosa, Claudio G.
Souza, João Paulo
Maternal near miss and predictive ability of potentially life-threatening conditions at selected maternity hospitals in Latin America
title Maternal near miss and predictive ability of potentially life-threatening conditions at selected maternity hospitals in Latin America
title_full Maternal near miss and predictive ability of potentially life-threatening conditions at selected maternity hospitals in Latin America
title_fullStr Maternal near miss and predictive ability of potentially life-threatening conditions at selected maternity hospitals in Latin America
title_full_unstemmed Maternal near miss and predictive ability of potentially life-threatening conditions at selected maternity hospitals in Latin America
title_short Maternal near miss and predictive ability of potentially life-threatening conditions at selected maternity hospitals in Latin America
title_sort maternal near miss and predictive ability of potentially life-threatening conditions at selected maternity hospitals in latin america
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5097347/
https://www.ncbi.nlm.nih.gov/pubmed/27814759
http://dx.doi.org/10.1186/s12978-016-0250-9
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