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The development of a Simplified, Effective, Labour Monitoring-to-Action (SELMA) tool for Better Outcomes in Labour Difficulty (BOLD): study protocol
BACKGROUND: The partograph is currently the main tool available to support decision-making of health professionals during labour. However, the rate of appropriate use of the partograph is disappointingly low. Apart from limitations that are associated with partograph use, evidence of positive impact...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4448543/ https://www.ncbi.nlm.nih.gov/pubmed/26006758 http://dx.doi.org/10.1186/s12978-015-0029-4 |
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author | Souza, João Paulo Oladapo, Olufemi T Bohren, Meghan A Mugerwa, Kidza Fawole, Bukola Moscovici, Leonardo Alves, Domingos Perdona, Gleici Oliveira-Ciabati, Livia Vogel, Joshua P Tunçalp, Özge Zhang, Jim Hofmeyr, Justus Bahl, Rajiv Gülmezoglu, A Metin |
author_facet | Souza, João Paulo Oladapo, Olufemi T Bohren, Meghan A Mugerwa, Kidza Fawole, Bukola Moscovici, Leonardo Alves, Domingos Perdona, Gleici Oliveira-Ciabati, Livia Vogel, Joshua P Tunçalp, Özge Zhang, Jim Hofmeyr, Justus Bahl, Rajiv Gülmezoglu, A Metin |
author_sort | Souza, João Paulo |
collection | PubMed |
description | BACKGROUND: The partograph is currently the main tool available to support decision-making of health professionals during labour. However, the rate of appropriate use of the partograph is disappointingly low. Apart from limitations that are associated with partograph use, evidence of positive impact on labour-related health outcomes is lacking. The main goal of this study is to develop a Simplified, Effective, Labour Monitoring-to-Action (SELMA) tool. The primary objectives are: to identify the essential elements of intrapartum monitoring that trigger the decision to use interventions aimed at preventing poor labour outcomes; to develop a simplified, monitoring-to-action algorithm for labour management; and to compare the diagnostic performance of SELMA and partograph algorithms as tools to identify women who are likely to develop poor labour-related outcomes. METHODS/DESIGN: A prospective cohort study will be conducted in eight health facilities in Nigeria and Uganda (four facilities from each country). All women admitted for vaginal birth will comprise the study population (estimated sample size: 7,812 women). Data will be collected on maternal characteristics on admission, labour events and pregnancy outcomes by trained research assistants at the participating health facilities. Prediction models will be developed to identify women at risk of intrapartum-related perinatal death or morbidity (primary outcomes) throughout the course of labour. These predictions models will be used to assemble a decision-support tool that will be able to suggest the best course of action to avert adverse outcomes during the course of labour. To develop this set of prediction models, we will use up-to-date techniques of prognostic research, including identification of important predictors, assigning of relative weights to each predictor, estimation of the predictive performance of the model through calibration and discrimination, and determination of its potential for application using internal validation techniques. DISCUSSION: This research offers an opportunity to revisit the theoretical basis of the partograph. It is envisioned that the final product would help providers overcome the challenging tasks of promptly interpreting complex labour information and deriving appropriate clinical actions, and thus increase efficiency of the care process, enhance providers’ competence and ultimately improve labour outcomes. Please see related articles ‘http://dx.doi.org/10.1186/s12978-015-0027-6’ and ‘http://dx.doi.org/10.1186/s12978-015-0028-5’. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12978-015-0029-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4448543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44485432015-05-30 The development of a Simplified, Effective, Labour Monitoring-to-Action (SELMA) tool for Better Outcomes in Labour Difficulty (BOLD): study protocol Souza, João Paulo Oladapo, Olufemi T Bohren, Meghan A Mugerwa, Kidza Fawole, Bukola Moscovici, Leonardo Alves, Domingos Perdona, Gleici Oliveira-Ciabati, Livia Vogel, Joshua P Tunçalp, Özge Zhang, Jim Hofmeyr, Justus Bahl, Rajiv Gülmezoglu, A Metin Reprod Health Study Protocol BACKGROUND: The partograph is currently the main tool available to support decision-making of health professionals during labour. However, the rate of appropriate use of the partograph is disappointingly low. Apart from limitations that are associated with partograph use, evidence of positive impact on labour-related health outcomes is lacking. The main goal of this study is to develop a Simplified, Effective, Labour Monitoring-to-Action (SELMA) tool. The primary objectives are: to identify the essential elements of intrapartum monitoring that trigger the decision to use interventions aimed at preventing poor labour outcomes; to develop a simplified, monitoring-to-action algorithm for labour management; and to compare the diagnostic performance of SELMA and partograph algorithms as tools to identify women who are likely to develop poor labour-related outcomes. METHODS/DESIGN: A prospective cohort study will be conducted in eight health facilities in Nigeria and Uganda (four facilities from each country). All women admitted for vaginal birth will comprise the study population (estimated sample size: 7,812 women). Data will be collected on maternal characteristics on admission, labour events and pregnancy outcomes by trained research assistants at the participating health facilities. Prediction models will be developed to identify women at risk of intrapartum-related perinatal death or morbidity (primary outcomes) throughout the course of labour. These predictions models will be used to assemble a decision-support tool that will be able to suggest the best course of action to avert adverse outcomes during the course of labour. To develop this set of prediction models, we will use up-to-date techniques of prognostic research, including identification of important predictors, assigning of relative weights to each predictor, estimation of the predictive performance of the model through calibration and discrimination, and determination of its potential for application using internal validation techniques. DISCUSSION: This research offers an opportunity to revisit the theoretical basis of the partograph. It is envisioned that the final product would help providers overcome the challenging tasks of promptly interpreting complex labour information and deriving appropriate clinical actions, and thus increase efficiency of the care process, enhance providers’ competence and ultimately improve labour outcomes. Please see related articles ‘http://dx.doi.org/10.1186/s12978-015-0027-6’ and ‘http://dx.doi.org/10.1186/s12978-015-0028-5’. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12978-015-0029-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-26 /pmc/articles/PMC4448543/ /pubmed/26006758 http://dx.doi.org/10.1186/s12978-015-0029-4 Text en © Souza et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 | Study Protocol Souza, João Paulo Oladapo, Olufemi T Bohren, Meghan A Mugerwa, Kidza Fawole, Bukola Moscovici, Leonardo Alves, Domingos Perdona, Gleici Oliveira-Ciabati, Livia Vogel, Joshua P Tunçalp, Özge Zhang, Jim Hofmeyr, Justus Bahl, Rajiv Gülmezoglu, A Metin The development of a Simplified, Effective, Labour Monitoring-to-Action (SELMA) tool for Better Outcomes in Labour Difficulty (BOLD): study protocol |
title | The development of a Simplified, Effective, Labour Monitoring-to-Action (SELMA) tool for Better Outcomes in Labour Difficulty (BOLD): study protocol |
title_full | The development of a Simplified, Effective, Labour Monitoring-to-Action (SELMA) tool for Better Outcomes in Labour Difficulty (BOLD): study protocol |
title_fullStr | The development of a Simplified, Effective, Labour Monitoring-to-Action (SELMA) tool for Better Outcomes in Labour Difficulty (BOLD): study protocol |
title_full_unstemmed | The development of a Simplified, Effective, Labour Monitoring-to-Action (SELMA) tool for Better Outcomes in Labour Difficulty (BOLD): study protocol |
title_short | The development of a Simplified, Effective, Labour Monitoring-to-Action (SELMA) tool for Better Outcomes in Labour Difficulty (BOLD): study protocol |
title_sort | development of a simplified, effective, labour monitoring-to-action (selma) tool for better outcomes in labour difficulty (bold): study protocol |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4448543/ https://www.ncbi.nlm.nih.gov/pubmed/26006758 http://dx.doi.org/10.1186/s12978-015-0029-4 |
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