Background: The frequency at which patients should have their vital signs (e.g. blood pressure, pulse, oxygen saturation) measured on hospital wards is currently unknown. Current National Health Service monitoring protocols are based on expert opinion but supported by little empirical evidence. The challenge is finding the balance between insufficient monitoring (risking missing early signs of deterioration and delays in treatment) and over-observation of stable patients (wasting resources needed in other aspects of care).
Objective: Provide an evidence-based approach to creating monitoring protocols based on a patient's risk of deterioration and link these to nursing workload and economic impact.
Design: Our study consisted of two parts: (1) an observational study of nursing staff to ascertain the time to perform vital sign observations; and (2) a retrospective study of historic data on patient admissions exploring the relationships between National Early Warning Score and risk of outcome over time. These were underpinned by opinions and experiences from stakeholders.
Setting And Participants: Observational study: observed nursing staff on 16 randomly selected adult general wards at four acute National Health Service hospitals. Retrospective study: extracted, linked and analysed routinely collected data from two large National Health Service acute trusts; data from over 400,000 patient admissions and 9,000,000 vital sign observations.
Results: Observational study found a variety of practices, with two hospitals having registered nurses take the majority of vital sign observations and two favouring healthcare assistants or student nurses. However, whoever took the observations spent roughly the same length of time. The average was 5:01 minutes per observation over a 'round', including time to locate and prepare the equipment and travel to the patient area. Retrospective study created survival models predicting the risk of outcomes over time since the patient was last observed. For low-risk patients, there was little difference in risk between 4 hours and 24 hours post observation.
Conclusions: We explored several different scenarios with our stakeholders (clinicians and patients), based on how 'risk' could be managed in different ways. Vital sign observations are often done more frequently than necessary from a bald assessment of the patient's risk, and we show that a maximum threshold of risk could theoretically be achieved with less resource. Existing resources could therefore be redeployed within a changed protocol to achieve better outcomes for some patients without compromising the safety of the rest. Our work supports the approach of the current monitoring protocol, whereby patients' National Early Warning Score 2 guides observation frequency. Existing practice is to observe higher-risk patients more frequently and our findings have shown that this is objectively justified. It is worth noting that important nurse-patient interactions take place during vital sign monitoring and should not be eliminated under new monitoring processes. Our study contributes to the existing evidence on how vital sign observations should be scheduled. However, ultimately, it is for the relevant professionals to decide how our work should be used.
Study Registration: This study is registered as ISRCTN10863045.
Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 17/05/03) and is published in full in ; Vol. 12, No. 6. See the NIHR Funding and Awards website for further award information.
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http://dx.doi.org/10.3310/HYTR4612 | DOI Listing |
BMC Med Res Methodol
December 2024
School of Mathematical & Statistical Sciences, University of Texas Rio Grande Valley, One West University Boulevard, Brownsville, TX, 78520, USA.
Background: Missing observations within the univariate time series are common in real-life and cause analytical problems in the flow of the analysis. Imputation of missing values is an inevitable step in every incomplete univariate time series. Most of the existing studies focus on comparing the distributions of imputed data.
View Article and Find Full Text PDFPhysiol Rep
December 2024
Department of Cardiology, St George's University Hospitals NHS Foundation Trust, London, UK.
The effects of triathlon exercise on cardiac function are well documented. While Olympic triathlon (swim-bike-run) remains the standard format, increasing concerns about water quality in natural waterways present ongoing challenges for open-water swimming events, highlighting the potential need to consider alternative formats such as duathlon (run-bike-run) in some circumstances. An additional run may increase the overall metabolic and cardiovascular demand compared with the swim in triathlon, leading to reduced future performance.
View Article and Find Full Text PDFPhysiol Rep
December 2024
Integrative Physiology Laboratory, University of Illinois at Chicago, Chicago, Illinois, USA.
Multiple sclerosis (MS) is a chronic neurological condition resulting in decreased aerobic capacity (peak VO). The hemodynamic responses to peak exercise in MS are unknown. Further, it is unknown if the hemodynamic responses are due to disease or fitness.
View Article and Find Full Text PDFBMJ Open
December 2024
Emergency Department, Lausanne University Hospital, Lausanne, Switzerland.
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Design: The sBATT was derived from the original BATT, which included prehospital systolic blood pressure (SBP), heart rate, respiratory rate, Glasgow Coma Scale (GCS), age and trauma mechanism. Variables suitable for lay interpretation without monitoring equipment were included (age, level of consciousness, absence of radial pulse, tachycardia and trapped status).
BMJ Open
December 2024
Department of Medicine, MacKay Medical College, New Taipei, Taiwan
Objective: Heart rate serves as a critical prognostic factor in heart failure (HF) patients. We hypothesise that elevated heart rate in critically ill HF patients on discharge from the intensive care unit (ICU) could be linked to adverse outcomes.
Design: A single-centre retrospective cohort study.
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