Publications

Safer and more efficient vital signs monitoring to identify the deteriorating patient: An observational study towards deriving evidence-based protocols for patient surveillance on the general hospital ward

WATKINSON P., (2023), Safer and more efficient vital signs monitoring to identify the deteriorating patient: An observational study towards deriving evidence-based protocols for patient surveillance on the general hospital ward

Design and validation of a new Healthcare Systems Usability Scale (HSUS) for clinical decision support systems: a mixed-methods approach

Ghorayeb A. et al, (2023), BMJ Open, 13, e065323 - e065323

Non-contact physiological monitoring of post-operative patients in the intensive care unit

Jorge J. et al, (2022), npj Digital Medicine, 5

LOng COvid Multidisciplinary consortium Optimising Treatments and servIces acrOss the NHS (LOCOMOTION): protocol for a mixed-methods study in the UK.

Sivan M. et al, (2022), BMJ Open, 12

Risk factors for new-onset atrial fibrillation during critical illness: A Delphi study

Bedford JP. et al, (2021), Journal of the Intensive Care Society, 175114372110221 - 175114372110221

Variability of environmental sound levels: An observational study from a general adult intensive care unit in the UK

Darbyshire JL. and Duncan Young J., (2021), Journal of the Intensive Care Society, 175114372110221 - 175114372110221

Human factors in escalating acute ward care: a qualitative evidence synthesis

Ede J. et al, (2021), BMJ Open Quality, 10, e001145 - e001145

Implementing a system for the real-time risk assessment of patients considered for intensive care

Dahella SS. et al, (2020), BMC Medical Informatics and Decision Making, 20

Public involvement in the governance of population-level biomedical research: unresolved questions and future directions

Erikainen S. et al, (2020), Journal of Medical Ethics

Measuring sleep in the intensive care unit: Electroencephalogram, actigraphy, or questionnaire?

Darbyshire JL. et al, (2020), Journal of the Intensive Care Society, 21, 22 - 27

Non-contact vital sign monitoring of patients in an Intensive Care Unit: A Human Factors analysis of staff expectations

EDE J. et al, (2019), Applied Ergonomics

Measuring Sleep in the Intensive Care Unit: A Critical Appraisal of the Use of Subjective Methods

Jeffs EL. and Darbyshire JL., (2019), Journal of Intensive Care Medicine, 34, 751 - 760

Resilience and Motivation Following Intensive Care Unit Admission: Tools for Survivorship

Ede J. et al, (2019), Nursing in Critical Care, 24, 253 - 255

Mapping sources of noise in an intensive care unit

Darbyshire JL. et al, (2019), Anaesthesia, 74, 1018 - 1025

How human factors affect escalation of care: a protocol for a qualitative evidence synthesis of studies

Ede J. et al, (2019), BMJ Open, 9, e025969 - e025969

Medical educational theory in practice

Greig PR. and Darbyshire JL., (2019), BJA Education, 19, 40 - 46

Using the experience-based co-design method to design a teaching package

Darbyshire JL. et al, (2018), Medical Education, 52, 1198 - 1198

Using patient narratives to design an intervention to reduce noise in the intensive care unit

HINTON LE. and Darbyshire J., (2018), Journal of Health Design

Acoustic source localization with microphone arrays for remote noise monitoring in an Intensive Care Unit

Müller-Trapet M. et al, (2018), Applied Acoustics, 139, 93 - 100

Using patient narratives to design an intervention to reduce noise in the intensive care unit

Darbyshire J. and Hinton L., (2018), The Journal of Health Design, 109 - 112

Cookies on this website

Publications