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Factors influencing postpartum haemorrhage detection and management and the implementation of a new postpartum haemorrhage care bundle (E-MOTIVE) in Kenya, Nigeria, and South Africa

BACKGROUND: Postpartum haemorrhage (PPH) is the leading cause of global maternal deaths, accounting for 30–50% of maternal deaths in sub-Saharan Africa. Most PPH-related deaths are preventable with timely detection and initiation of care, which may be facilitated by using a clinical care bundle. We...

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Autores principales: Forbes, Gillian, Akter, Shahinoor, Miller, Suellen, Galadanci, Hadiza, Qureshi, Zahida, Fawcus, Sue, Hofmeyr, G. Justus, Moran, Neil, Singata-Madliki, Mandisa, Dankishiya, Faisal, Gwako, George, Osoti, Alfred, Thomas, Eleanor, Gallos, Ioannis, Mammoliti, Kristie-Marie, Devall, Adam, Coomarasamy, Arri, Althabe, Fernando, Atkins, Lou, Bohren, Meghan A., Lorencatto, Fabiana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832403/
https://www.ncbi.nlm.nih.gov/pubmed/36631821
http://dx.doi.org/10.1186/s13012-022-01253-0
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author Forbes, Gillian
Akter, Shahinoor
Miller, Suellen
Galadanci, Hadiza
Qureshi, Zahida
Fawcus, Sue
Hofmeyr, G. Justus
Moran, Neil
Singata-Madliki, Mandisa
Dankishiya, Faisal
Gwako, George
Osoti, Alfred
Thomas, Eleanor
Gallos, Ioannis
Mammoliti, Kristie-Marie
Devall, Adam
Coomarasamy, Arri
Althabe, Fernando
Atkins, Lou
Bohren, Meghan A.
Lorencatto, Fabiana
author_facet Forbes, Gillian
Akter, Shahinoor
Miller, Suellen
Galadanci, Hadiza
Qureshi, Zahida
Fawcus, Sue
Hofmeyr, G. Justus
Moran, Neil
Singata-Madliki, Mandisa
Dankishiya, Faisal
Gwako, George
Osoti, Alfred
Thomas, Eleanor
Gallos, Ioannis
Mammoliti, Kristie-Marie
Devall, Adam
Coomarasamy, Arri
Althabe, Fernando
Atkins, Lou
Bohren, Meghan A.
Lorencatto, Fabiana
author_sort Forbes, Gillian
collection PubMed
description BACKGROUND: Postpartum haemorrhage (PPH) is the leading cause of global maternal deaths, accounting for 30–50% of maternal deaths in sub-Saharan Africa. Most PPH-related deaths are preventable with timely detection and initiation of care, which may be facilitated by using a clinical care bundle. We explore influences on current PPH detection and management and on the future implementation of a new PPH bundle (E-MOTIVE) in low-resource, high-burden settings. METHODS: Semi-structured qualitative interviews based on the Theoretical Domains Framework were conducted with 45 healthcare providers across nine hospitals in Nigeria, Kenya and South Africa, to identify barriers and enablers to current PPH detection and management and future implementation of a new PPH care bundle. Data were analysed using thematic and framework analysis. The Behaviour Change Wheel was used to identify potential interventions to address identified barriers and enablers. RESULTS: Influences on current PPH detection and management fell under 12 domains: Environmental Context and Resources (drug and staff shortages), Skills (limited in-service training), Knowledge (variable understanding of the recommended practice), Behaviour Regulation (limited quality improvement culture), Beliefs about Consequences (drawbacks from inaccurate detection), Emotion (stress from the unpredictability of PPH), Social Influence (teamwork), Memory, Attention and Decision-making (limited guideline use), Social/Professional Role and Identity (role clarity), Beliefs about Capabilities (confidence in managing PPH), Reinforcement (disciplinary procedures) and Goals (PPH as a priority). Influences on bundle uptake included: Beliefs about Consequences (perceived benefits of new blood loss measurement tool), Environmental Context and Resources (high cost of drugs and new tools), Memory, Attention and Decision-making (concerns about whether bundle fits current practice), Knowledge (not understanding ‘bundled’ approach), Social Influence (acceptance by women and staff) and Intention (limited acceptance of ‘bundled' approach over existing practice). These influences were consistent across countries. Proposed interventions included: Education, Training, Modelling (core and new skills), Enablement (monitoring uptake), Persuasion (leadership role) and Environmental Restructuring (PPH emergency trolley/kit). CONCLUSIONS: A wide range of individual, socio-cultural and environmental barriers and enablers to improving PPH detection and management exist in these settings. We identified a range of interventions that could improve PPH care and the implementation of new care bundles in this context. TRIAL REGISTRATION: ClinicalTrials.gov: NCT04341662 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13012-022-01253-0.
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spelling pubmed-98324032023-01-11 Factors influencing postpartum haemorrhage detection and management and the implementation of a new postpartum haemorrhage care bundle (E-MOTIVE) in Kenya, Nigeria, and South Africa Forbes, Gillian Akter, Shahinoor Miller, Suellen Galadanci, Hadiza Qureshi, Zahida Fawcus, Sue Hofmeyr, G. Justus Moran, Neil Singata-Madliki, Mandisa Dankishiya, Faisal Gwako, George Osoti, Alfred Thomas, Eleanor Gallos, Ioannis Mammoliti, Kristie-Marie Devall, Adam Coomarasamy, Arri Althabe, Fernando Atkins, Lou Bohren, Meghan A. Lorencatto, Fabiana Implement Sci Research BACKGROUND: Postpartum haemorrhage (PPH) is the leading cause of global maternal deaths, accounting for 30–50% of maternal deaths in sub-Saharan Africa. Most PPH-related deaths are preventable with timely detection and initiation of care, which may be facilitated by using a clinical care bundle. We explore influences on current PPH detection and management and on the future implementation of a new PPH bundle (E-MOTIVE) in low-resource, high-burden settings. METHODS: Semi-structured qualitative interviews based on the Theoretical Domains Framework were conducted with 45 healthcare providers across nine hospitals in Nigeria, Kenya and South Africa, to identify barriers and enablers to current PPH detection and management and future implementation of a new PPH care bundle. Data were analysed using thematic and framework analysis. The Behaviour Change Wheel was used to identify potential interventions to address identified barriers and enablers. RESULTS: Influences on current PPH detection and management fell under 12 domains: Environmental Context and Resources (drug and staff shortages), Skills (limited in-service training), Knowledge (variable understanding of the recommended practice), Behaviour Regulation (limited quality improvement culture), Beliefs about Consequences (drawbacks from inaccurate detection), Emotion (stress from the unpredictability of PPH), Social Influence (teamwork), Memory, Attention and Decision-making (limited guideline use), Social/Professional Role and Identity (role clarity), Beliefs about Capabilities (confidence in managing PPH), Reinforcement (disciplinary procedures) and Goals (PPH as a priority). Influences on bundle uptake included: Beliefs about Consequences (perceived benefits of new blood loss measurement tool), Environmental Context and Resources (high cost of drugs and new tools), Memory, Attention and Decision-making (concerns about whether bundle fits current practice), Knowledge (not understanding ‘bundled’ approach), Social Influence (acceptance by women and staff) and Intention (limited acceptance of ‘bundled' approach over existing practice). These influences were consistent across countries. Proposed interventions included: Education, Training, Modelling (core and new skills), Enablement (monitoring uptake), Persuasion (leadership role) and Environmental Restructuring (PPH emergency trolley/kit). CONCLUSIONS: A wide range of individual, socio-cultural and environmental barriers and enablers to improving PPH detection and management exist in these settings. We identified a range of interventions that could improve PPH care and the implementation of new care bundles in this context. TRIAL REGISTRATION: ClinicalTrials.gov: NCT04341662 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13012-022-01253-0. BioMed Central 2023-01-11 /pmc/articles/PMC9832403/ /pubmed/36631821 http://dx.doi.org/10.1186/s13012-022-01253-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Forbes, Gillian
Akter, Shahinoor
Miller, Suellen
Galadanci, Hadiza
Qureshi, Zahida
Fawcus, Sue
Hofmeyr, G. Justus
Moran, Neil
Singata-Madliki, Mandisa
Dankishiya, Faisal
Gwako, George
Osoti, Alfred
Thomas, Eleanor
Gallos, Ioannis
Mammoliti, Kristie-Marie
Devall, Adam
Coomarasamy, Arri
Althabe, Fernando
Atkins, Lou
Bohren, Meghan A.
Lorencatto, Fabiana
Factors influencing postpartum haemorrhage detection and management and the implementation of a new postpartum haemorrhage care bundle (E-MOTIVE) in Kenya, Nigeria, and South Africa
title Factors influencing postpartum haemorrhage detection and management and the implementation of a new postpartum haemorrhage care bundle (E-MOTIVE) in Kenya, Nigeria, and South Africa
title_full Factors influencing postpartum haemorrhage detection and management and the implementation of a new postpartum haemorrhage care bundle (E-MOTIVE) in Kenya, Nigeria, and South Africa
title_fullStr Factors influencing postpartum haemorrhage detection and management and the implementation of a new postpartum haemorrhage care bundle (E-MOTIVE) in Kenya, Nigeria, and South Africa
title_full_unstemmed Factors influencing postpartum haemorrhage detection and management and the implementation of a new postpartum haemorrhage care bundle (E-MOTIVE) in Kenya, Nigeria, and South Africa
title_short Factors influencing postpartum haemorrhage detection and management and the implementation of a new postpartum haemorrhage care bundle (E-MOTIVE) in Kenya, Nigeria, and South Africa
title_sort factors influencing postpartum haemorrhage detection and management and the implementation of a new postpartum haemorrhage care bundle (e-motive) in kenya, nigeria, and south africa
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832403/
https://www.ncbi.nlm.nih.gov/pubmed/36631821
http://dx.doi.org/10.1186/s13012-022-01253-0
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