Lessons from using the Normalisation Process Theory to understand adherence to guidance on MgSO4 in preterm labour

QI interventions driven by knowledge mobilisation can drive scaling and spreading of improvement, but require knowledge sharing and an infrastructure within the system to support improvement capacity building. Strong leadership with the ability to address power imbalances between co-actors, and secure protected funding for local champions is also required.

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Publication Details

Journal
Implementation Science Communications
Published
2025-07-16
DOI
https://doi.org/10.1186/s43058-025-00758-1
Citations
1
Primary Topic
Health Policy Implementation Science
Type
article
Field-Weighted Citation Impact
2.82

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article

Lessons from using the Normalisation Process Theory to understand adherence to guidance on MgSO4 in preterm labour

Karen Luyt, Emma Treloar, Christalla Pithara, Jenny Donovan et al.
1 citations
Implementation Science Communications
Health Policy Implementation Science
2.82
article

Lessons from using the Normalisation Process Theory to understand adherence to guidance on MgSO4 in preterm labour

Karen Luyt, Emma Treloar, Christalla Pithara, Jenny Donovan, Tracey J. Stone, Sabi Redwood
article en
1 citations

Abstract

QI interventions driven by knowledge mobilisation can drive scaling and spreading of improvement, but require knowledge sharing and an infrastructure within the system to support improvement capacity building. Strong leadership with the ability to address power imbalances between co-actors, and secure protected funding for local champions is also required.

Implementation Science CommunicationsVol. 6(1)
University Hospitals Bristol NHS Foundation Trust (GB), At Bristol (GB), University of Bristol (GB), University Hospitals Bristol and Weston NHS Foundation Trust (GB)
Health Foundation, Oxford Academic Health Science Network, National Institute for Health Research Applied Research Collaboration West
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Health Policy Implementation Science
2.82
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