Congratulations on the Faculty of Health & Social Sciences team which had its paper ‘Vital signs and other observations used to detect deterioration in pregnant women: an analysis of vital sign charts in consultant-led UK maternity units’ accepted by the International Journal of Obstetric Anesthesia (published by Elsevier).
The paper compares: (i) vital sign values used to define physiological normality; (ii) symptoms and signs used to escalate care; (iii) 24 type of chart used; and (iv) presence of explicit instructions for escalating care. The authors conclude that the wide range of ‘normal’ vital sign values in different systems used in the UK and the Channel Islands suggests a lack of equity in the processes for detecting deterioration and escalating care in hospitalised pregnant and postnatal women. Agreement regarding ‘normal’ vital sign ranges is urgently required and would assist the development of a standardised obstetric early warning system and chart. The lead author of this new paper is FHSS Visiting Professor Gary Smith, his co-authors include FHSS staff Vanora Hundley, Lisa Gale_Andrews and Edwin van Teijlingen as well as three BU Visiting Faculty: Debra Bick (King’s College London), Mike Wee (Poole Hospital NHS Foundation Trust) and Richard Isaacs (University Hospital Southampton).
New collaborative paper BU-NHS colleagues
One week: five FHSS publications
First BU paper accepted for 2021










Final day of the ESRC Festival of Social Science
Using Art to enhance Research
Register now to attend the 17th Annual Postgraduate Research Conference – Wednesday 3 December 2025
Portrait Concert featuring BU academic at L’Espace du Son Festival 2025, Brussels
From Clinical Applications to Neuro-Inspired Computation
ECR Funding Open Call: Research Culture & Community Grant – Application Deadline Friday 12 December
MSCA Postdoctoral Fellowships 2025 Call
ERC Advanced Grant 2025 Webinar
Horizon Europe Work Programme 2025 Published
Horizon Europe 2025 Work Programme pre-Published
Update on UKRO services
European research project exploring use of ‘virtual twins’ to better manage metabolic associated fatty liver disease