Cargando…

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...

Descripción completa

Detalles Bibliográficos
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
Descripción
Sumario: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.