ArticleSocial science & medicine (1982)2019
How to be a very safe maternity unit: An ethnographic study.
Article in Social science & medicine (1982), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
40 citing papers in PubMed.
- Effect of hands-on interprofessional simulation training for local emergencies in Scotland: the THISTLE stepped-wedge design randomised controlled trial.BMJ quality & safety · 2020Trial
- From Evidence to Value: Integrating Evidence-Based Medicine, Patient Safety, Quality Improvement, Learning Health Systems, and Value-Based Healthcare.Journal of evaluation in clinical practice · 2026Review
- Review
- Improving maternity and neonatal care in England: a survey to evaluate the implementation of the core competency framework to improve multi-professional practice.BMC health services research · 2026Article
- Teamwork and relational infrastructure: a qualitative study of modern UK general practice.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026Article
- Connecting data science and translational simulation.Advances in simulation (London, England) · 2026Article
- Barriers and enablers to the implementation of a perinatal care bundle: the Perinatal Excellence to Reduce Injury in Premature Birth project.Frontiers in pediatrics · 2026Article
- It's Like Disney … You Have to Find Them a Fantasy: Latino Sexual Minority Men at the Intersection of Tourism, Sex, Drug Use, and HIV in Miami-South Beach.Journal of sex research · 2025Review
- Evaluating the implementation of maternal safety bundles for obstetric hemorrhage and severe hypertension during pregnancy in Arkansas.BMC pregnancy and childbirth · 2025Article
- Lessons from using the Normalisation Process Theory to understand adherence to guidance on MgSOImplementation science communications · 2025Article
- Explaining the barriers and facilitators of the accreditation process in maternity departments.BMC nursing · 2025Article
- 'They Take the Mum Off You When You Come In': An Ethnographic Study of Parent Experiences of Medicines Safety Systems in English Hospitals.Health expectations : an international journal of public participation in health care and health policy · 2025Article
- Translational simulation revisited: an evolving conceptual model for the contribution of simulation to healthcare quality and safety.Advances in simulation (London, England) · 2024Article
- Quality framework for remote antenatal care: qualitative study with women, healthcare professionals and system-level stakeholders.BMJ quality & safety · 2024Article
- The use of positive deviance approach to improve health service delivery and quality of care: a scoping review.BMC health services research · 2024Article
- Scaling up an intervention to protect preterm infants from neurodevelopmental disabilities - findings from a qualitative process evaluation comparing standard with enhanced quality improvement support packages for maternity units in England.Implementation science : IS · 2023Article
- Protocol for the Pathways Study: a realist evaluation of staff social ties and communication in the delivery of neonatal care in Kenya.BMJ open · 2023Article
- Aesthetics for everyday quality: one way to enrich healthcare improvement debates.Medical humanities · 2022Article
- Advancing quality and safety of perinatal services in India: opportunities for effective midwifery integration.Health policy and planning · 2022Article
- A relational approach to improving interprofessional teamwork in post-partum haemorrhage (PPH).BMC health services research · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Maternity care continues to be associated with avoidable harm that can result in serious disability and profound anguish for women, their children, and their families, and in high costs for healthcare systems. As in other areas of healthcare, improvement efforts have typically focused either on implementing and evaluating specific interventions, or on identifying the contextual features that may be generative of safety (e.g. structures, processes, behaviour, practices, and values), but the dialogue between these two approaches has remained limited. In this article, we report a positive deviance case study of a high-performing UK maternity unit to examine how it achieved and sustained excellent safety outcomes. Based on 143 h of ethnographic observations in the maternity unit, 12 semi-structured interviews, and two focus groups with staff, we identified six mechanisms that appeared to be important for safety: collective competence; insistence on technical proficiency; monitoring, coordination, and distributed cognition; clearly articulated and constantly reinforced standards of practice, behaviour, and ethics; monitoring multiple sources of intelligence about the unit's state of safety; and a highly intentional approach to safety and improvement. These mechanisms were nurtured and sustained through both a specific intervention (known as the PROMPT programme) and, importantly, the unit's contextual features: intervention and context shaped each other in both direct and indirect ways. The mechanisms were also influenced by the unit's structural conditions, such as staffing levels and physical environment. This study enhances understanding of what makes a maternity unit safe, paving the way for better design of improvement approaches. It also advances the debate on quality and safety improvement by offering a theoretically and empirically grounded analysis of the interplay between interventions and context of implementation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.