Spotlight on respiratory care, delirium, well‐being and moral injury
Trapani J. et al, (2024), Nursing in Critical Care, 29, 1195 - 1198
Using a novel ambulatory monitoring system to support patient safety on an acute infectious disease ward during an unfolding pandemic
Buss A. et al, (2024), Journal of Advanced Nursing, 80, 2452 - 2461
Remote vital sign monitoring in admission avoidance hospital at home
FARMER A. et al, (2024), Journal of the American Medical Directors Association
Musculoskeletal impairments after critical illness: A protocol for a qualitative study of the experiences of patients, family and health care professionals
King E. et al, (2023), Nursing in Critical Care
Introduction to this special issue on rehabilitation during and after critical care
Vollam S. and Efstathiou N., (2023), Nursing in Critical Care, 28, 472 - 474
Increased long-term mortality following new-onset atrial fibrillation in the intensive care unit: A systematic review and meta-analysis
Garside T. et al, (2022), Journal of Critical Care, 72, 154161 - 154161
Life after critical illness: a systematic review and thematic synthesis protocol
King E. et al, (2022), Journal of the Association of Chartered Physiotherapists in Respiratory Care, 140 - 147
The postgraduate literature review: Turning your chapter into a scholarly publication
Walker W. et al, (2022), Nursing in Critical Care, 27, 736 - 738
Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Vasey B. et al, (2022), Nature Medicine, 28, 2218 - 2218
‘Doing the Best we Can’: Registered Nurses’ Experiences and Perceptions of Patient Safety in Intensive Care during COVID-19
VOLLAM S., (2022), Journal of Advanced Nursing
Investigating the impact of physical activity interventions on delirium outcomes in intensive care unit patients: A systematic review and meta-analysis
Jarman A. et al, (2022), Journal of the Intensive Care Society, 175114372211036 - 175114372211036
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Vasey B. et al, (2022), BMJ, e070904 - e070904
Randomized controlled trials in critical care nursing: Essential to move practice forward.
Tume LN. et al, (2022), Nurs Crit Care
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Vasey B. et al, (2022), Nature Medicine, 28, 924 - 933
Experiences of current vital signs monitoring practices and views of wearable monitoring: A qualitative study in patients and nurses
Areia C. et al, (2022), Journal of Advanced Nursing, 78, 810 - 822
Patient harm and institutional avoidability of out-of-hours discharge from intensive care: An analysis using mixed methods
VOLLAM S. et al, (2022), Critical Care Medicine