Protocol for a systematic review assessing ambulatory vital sign monitoring impact on deterioration detection and related clinical outcomes in hospitalised patients

Protocol for a systematic review assessing ambulatory vital sign monitoring impact on deterioration detection and related clinical outcomes in hospitalised patients

<strong>Introduction</strong> Ambulatory monitoring systems (AMS) can facilitate early detection of clinical deterioration, and have the potential to improve hospitalised patient outcomes. The objective of this systematic review is to assess the impact of vital signs monitoring on detect...

Bibliográfalaš dieđut
Váldodahkkit:	Areia, C, Vollam, S, Young, L, Biggs, C, Pimentel, M, Santos, M, Thurley, N, Gerry, S, Tarassenko, L, Watkinson, P
Materiálatiipa:	Journal article
Giella:	English
Almmustuhtton:	BMJ Open 2021

Geahča maid

Protocol for a systematic review assessing ambulatory vital sign monitoring impact on deterioration detection and related clinical outcomes in hospitalised patients
Dahkki: Neal Thurley, et al.
Almmustuhtton: (2021-05-01)

The impact of wearable continuous vital sign monitoring on deterioration detection and clinical outcomes in hospitalised patients: a systematic review and meta-analysis
Dahkki: Areia, C, et al.
Almmustuhtton: (2021)

Wearability testing of ambulatory vital sign monitoring devices: a prospective observational cohort study
Dahkki: Areia, C, et al.
Almmustuhtton: (2020)

A real-time wearable system for monitoring vital signs of COVID-19 patients in a hospital setting
Dahkki: Santos, MD, et al.
Almmustuhtton: (2021)

Modelling physiological deterioration in post-operative patient vital-sign data
Dahkki: Pimentel, M, et al.
Almmustuhtton: (2013)

Modelling physiological deterioration in post-operative patient vital-sign data
Dahkki: Pimentel, M, et al.
Almmustuhtton: (2013)

Experiences of current vital signs monitoring practices and views of wearable monitoring: A qualitative study in patients and nurses
Dahkki: Areia, C, et al.
Almmustuhtton: (2021)

Using a novel ambulatory monitoring system to support patient safety on an acute infectious disease ward during an unfolding pandemic
Dahkki: Buss, A, et al.
Almmustuhtton: (2023)

Identification of patient deterioration in vital-sign data using one-class support vector machines
Dahkki: Clifton, L, et al.
Almmustuhtton: (2011)

Smoothing effect in vital-sign recordings: fact or fiction? A retrospective cohort analysis of manual and continuous vital-sign measurements to assess data smoothing in post-operative care
Dahkki: Tomlinson, H, et al.
Almmustuhtton: (2018)

A chest patch for continuous vital sign monitoring: clinical validation study during movement and controlled hypoxia
Dahkki: Morgado Areia, C, et al.
Almmustuhtton: (2021)

Trajectories of vital signs in patients with COVID-19
Dahkki: Pimentel, M, et al.
Almmustuhtton: (2020)

Telemetry-based vital sign monitoring for ambulatory hospital patients
Dahkki: Orphanidou, C, et al.
Almmustuhtton: (2009)

Reply to: Trajectories of vital signs in patients with Covid-19
Dahkki: Redfern, O, et al.
Almmustuhtton: (2021)

Gaussian process regression in vital-sign early warning systems.
Dahkki: Clifton, L, et al.
Almmustuhtton: (2012)

Vital-sign data fusion models for post-operative patients
Dahkki: Pimentel, M, et al.
Almmustuhtton: (2012)

Gaussian process regression in vital-sign early warning systems.
Dahkki: Clifton, L, et al.
Almmustuhtton: (2012)

Monitoring patient vital-sign deterioration trajectories using Bayesian inference
Dahkki: Khalid, S, et al.
Almmustuhtton: (2011)

Optimising classifiers for the detection of physiological deterioration in patient vital-sign data
Dahkki: Khalid, S, et al.
Almmustuhtton: (2011)

Assessing the feasibility of non-contact vital sign monitoring
Dahkki: Watkinson, P, et al.
Almmustuhtton: (2016)

A Chest Patch for Continuous Vital Sign Monitoring: Clinical Validation Study During Movement and Controlled Hypoxia
Dahkki: Carlos Morgado Areia, et al.
Almmustuhtton: (2021-09-01)

'Errors' and omissions in paper-based early warning scores: the association with changes in vital signs-a database analysis.
Dahkki: Clifton, D, et al.
Almmustuhtton: (2015)

Protocol for a prospective, controlled, cross-sectional, diagnostic accuracy study to evaluate the specificity and sensitivity of ambulatory monitoring systems in the prompt detection of hypoxia and during movement
Dahkki: Areia, C, et al.
Almmustuhtton: (2020)

Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data
Dahkki: Watkinson, P, et al.
Almmustuhtton: (2018)

Continuous wireless postoperative monitoring using wearable devices: further device innovation is needed
Dahkki: Xu, W, et al.
Almmustuhtton: (2021)

A Bayesian patient-based model for detecting deterioration in vital signs using manual observations
Dahkki: Khalid, S, et al.
Almmustuhtton: (2014)

A two-class approach to the detection of physiological deterioration in patient vital signs, with clinical label refinement.
Dahkki: Khalid, S, et al.
Almmustuhtton: (2012)

Availability and performance of image/video-based vital signs monitoring methods: a systematic review protocol
Dahkki: Harford, M, et al.
Almmustuhtton: (2017)

Postpartum-specific vital sign reference ranges
Dahkki: Green, L, et al.
Almmustuhtton: (2021)

Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: an observational study
Dahkki: Jim Briggs, et al.
Almmustuhtton: (2024-03-01)

Gestation-specific vital sign reference ranges in pregnancy
Dahkki: Green, L, et al.
Almmustuhtton: (2020)

Postpartum-specific vital sign reference ranges
Dahkki: Green, LJ, et al.
Almmustuhtton: (2021)

Availability and performance of image/video-based vital signs monitoring methods: a systematic review protocol
Dahkki: Mirae Harford, et al.
Almmustuhtton: (2017-10-01)

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
Dahkki: Briggs, J, et al.
Almmustuhtton: (2024)

Day-to-day progression of vital-sign circadian rhythms in the intensive care unit
Dahkki: Davidson, S, et al.
Almmustuhtton: (2021)

Remote vital sign monitoring in admission avoidance hospital at home: a systematic review
Dahkki: Patel, R, et al.
Almmustuhtton: (2024)

Non-contact vital sign monitoring in the clinic
Dahkki: Villarroel, M, et al.
Almmustuhtton: (2017)

Towards assisted living via probabilistic vital-sign monitoring in the home
Dahkki: Clifton, D, et al.
Almmustuhtton: (2011)

Non-contact vital sign monitoring of patients in an intensive care unit: A human factors analysis of staff expectations
Dahkki: Ede, J, et al.
Almmustuhtton: (2020)

Centile-based early warning scores derived from statistical distributions of vital signs.
Dahkki: Tarassenko, L, et al.
Almmustuhtton: (2011)