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.

Behaviour Change Wheel Clinical care bundle Formative research Implementation interventions Low- and middle-income countries (LMICs) Maternal health Postpartum haemorrhage (PPH) Qualitative interviews

Journal

Implementation science : IS
ISSN: 1748-5908
Titre abrégé: Implement Sci
Pays: England
ID NLM: 101258411

Informations de publication

Date de publication:
11 01 2023
Historique:
received: 05 06 2022
accepted: 14 11 2022
entrez: 11 1 2023
pubmed: 12 1 2023
medline: 14 1 2023
Statut: epublish

Résumé

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. 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. 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). 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. ClinicalTrials.gov : NCT04341662.

Sections du résumé

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.

Identifiants

pubmed: 36631821
doi: 10.1186/s13012-022-01253-0
pii: 10.1186/s13012-022-01253-0
pmc: PMC9832403
doi:

Banques de données

ClinicalTrials.gov
['NCT04341662']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1

Subventions

Organisme : World Health Organization
ID : 001
Pays : International
Organisme : Medical Research Council
ID : MR/T038985/1
Pays : United Kingdom

Informations de copyright

© 2023. The Author(s).

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Auteurs

Gillian Forbes (G)

Centre for Behaviour Change, University College London, London, UK. g.forbes@ucl.ac.uk.

Shahinoor Akter (S)

Gender and Women's Health Unit, Centre for Health Equity, University of Melbourne School of Population and Global Health, 207 Bouverie St, Carlton, Victoria, 3053, Australia.

Suellen Miller (S)

Department of Obstetrics, Gynaecology, and Reproductive Sciences, School of Medicine, University of California, San Francisco, USA.

Hadiza Galadanci (H)

Africa Center of Excellence for Population Health and Policy, Bayero University Kano, Kano, Nigeria.

Zahida Qureshi (Z)

Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya.

Sue Fawcus (S)

Department of Obstetrics and Gynaecology, University of Cape Town, Cape Town, South Africa.

G Justus Hofmeyr (GJ)

Department of Obstetrics and Gynaecology, University of Botswana, Gaborone, Botswana.
University of the Witwatersrand, Johannesburg, South Africa.
Walter Sisulu University, East London, South Africa.

Neil Moran (N)

KwaZulu-Natal Department of Health, University of KwaZulu-Natal, Durban, South Africa.
Department of Obstetrics and Gynaecology, School of Clinical Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.

Mandisa Singata-Madliki (M)

Effective Care Research Unit, Department of Obstetrics and Gynaecology, Universities of Witwatersrand and Fort Hare, East London, South Africa.

Faisal Dankishiya (F)

Africa Center of Excellence for Population Health and Policy, Bayero University Kano and Department of Community Medicine, Bayero University/Aminu Kano Teaching Hospital, Kano, Nigeria.

George Gwako (G)

Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya.

Alfred Osoti (A)

Department of Obstetrics and Gynaecology, University of Nairobi, Nairobi, Kenya.

Eleanor Thomas (E)

Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research (IMSR), WHO Collaborating Centre for Global Women's Health Research, University of Birmingham, Mendelsohn Way, Edgbaston, Birmingham, UK.

Ioannis Gallos (I)

WHO Collaborating Centre on Global Women's Health, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.

Kristie-Marie Mammoliti (KM)

WHO Collaborating Centre on Global Women's Health, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.

Adam Devall (A)

WHO Collaborating Centre on Global Women's Health, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.

Arri Coomarasamy (A)

WHO Collaborating Centre on Global Women's Health, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.

Fernando Althabe (F)

Department of Sexual and Reproductive Health and Research, World Health Organization, UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Geneva, Switzerland.

Lou Atkins (L)

Centre for Behaviour Change, University College London, London, UK.

Meghan A Bohren (MA)

Gender and Women's Health Unit, Centre for Health Equity, University of Melbourne School of Population and Global Health, 207 Bouverie St, Carlton, Victoria, 3053, Australia.

Fabiana Lorencatto (F)

Centre for Behaviour Change, University College London, London, UK.

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