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      Can continuous remote vital sign monitoring reduce the number of room visits to patients suspected of COVID-19: a quasi-experimental study.

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          Abstract

          Background-

          Continuous remote monitoring of vital signs on the hospital ward gained popularity during the Severe Acute Respiratory Syndrome coronavirus 2 pandemic due to its ability to support early detection of respiratory failure, and the possibility to do so without physical contact between patient and clinician. The effect of continuous monitoring on patient room visits has not been established yet.

          Objectives-

          To assess the impact of continuous monitoring on the number of patient room visits for patients suspected of Corona Virus Disease 2019 (COVID-19) and the use of personal protection equipment.

          Design and methods-

          We performed a before-after study at a ward with private rooms for patients suspected of COVID-19 at a tertiary hospital in Nijmegen, The Netherlands. Non-participant observers observed hospital staff during day, evening and night shifts to record patient room visits and personal protection equipment usage. After eleven days, wearable continuous vital sign monitoring was introduced. An interrupted time series analysis was applied to evaluate the effect of continuous monitoring on the number of patient room visits, visits for obtaining vital signs (Modified Early Warning Score visits) and the amount of personal protection equipment used.

          Results-

          During the 45 day study period, 86 shift were observed. During each shift, approximately six rooms were included. A total of 2347 patient room visits were recorded. The slope coefficient for the number of patient room visits did not change after introducing continuous vital sign monitoring (B -0.003, 95% confidence interval -0.022/0.016). The slope coefficients of the number of Modified Early Warning Score visits and the amount of personal protection equipment used did not change either (B -0.002, 95% confidence interval -0.021/0.017 and B 0.046, 95% confidence interval -0.008/0.099). The number of Modified Early Warning Score visits did show a decline over the entire study period, however this decline was not influenced by the intervention. Evening and night shifts were associated with a fewer patient room visits compared to day shifts.

          Conclusion-

          Introduction of continuous vital sign monitoring at a general ward for patients with suspected COVID-19 did not reduce the number of patient room visits or the usage of personal protection equipment by hospital staff. The number of Modified Early Warning Score visits declined over time, but this was not related to the introduction of continuous monitoring. Detailed analysis of the influence of continuous monitoring on the workflow of hospital staff reveals key points to increase efficacy of this intervention.

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          Most cited references32

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          A Novel Coronavirus from Patients with Pneumonia in China, 2019

          Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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            Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

            In December 2019, novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) occurred in Wuhan, China. The number of cases has increased rapidly but information on the clinical characteristics of affected patients is limited.
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              Is Open Access

              Interrupted time series regression for the evaluation of public health interventions: a tutorial

              Abstract Interrupted time series (ITS) analysis is a valuable study design for evaluating the effectiveness of population-level health interventions that have been implemented at a clearly defined point in time. It is increasingly being used to evaluate the effectiveness of interventions ranging from clinical therapy to national public health legislation. Whereas the design shares many properties of regression-based approaches in other epidemiological studies, there are a range of unique features of time series data that require additional methodological considerations. In this tutorial we use a worked example to demonstrate a robust approach to ITS analysis using segmented regression. We begin by describing the design and considering when ITS is an appropriate design choice. We then discuss the essential, yet often omitted, step of proposing the impact model a priori. Subsequently, we demonstrate the approach to statistical analysis including the main segmented regression model. Finally we describe the main methodological issues associated with ITS analysis: over-dispersion of time series data, autocorrelation, adjusting for seasonal trends and controlling for time-varying confounders, and we also outline some of the more complex design adaptations that can be used to strengthen the basic ITS design.
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                Author and article information

                Journal
                Int J Nurs Stud
                Int J Nurs Stud
                International Journal of Nursing Studies
                Published by Elsevier Ltd.
                0020-7489
                1873-491X
                3 January 2021
                3 January 2021
                : 103868
                Affiliations
                [a ]Department of Internal Medicine, division Acute Internal Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
                [b ]Department of Surgery, Radboud University Medical Center Nijmegen, Geert Grooteplein Zuid 10, 6525GA, Nijmegen, The Netherlands
                [c ]Department of Anesthesiology, division Pediatric Anesthesiology, Wilhelmina Children's Hospital, Lundlaan 6, 3584EA, Utrecht, The Netherlands
                [d ]Department of Internal Medicine, Radboud University Medical Center Nijmegen, Geert Grooteplein Zuid 10, 6525GA, Nijmegen, The Netherlands
                [e ]Julius Center for Health Sciences and Primary Care, department of Public Health, Healthcare Innovation & Evaluation and Medical Humanities (PHM), University Medical Center Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
                Author notes
                [** ]Corresponding author.
                [⁎]

                Both authors contributed equally

                Article
                S0020-7489(20)30359-X 103868
                10.1016/j.ijnurstu.2020.103868
                7778830
                33465579
                3c032be8-eeba-4796-8974-74a743f7eed0
                © 2020 Published by Elsevier Ltd.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 28 August 2020
                : 18 December 2020
                Categories
                Article

                Nursing
                nurse-patient relations,patient isolation,patient monitoring,vital signs,workflow
                Nursing
                nurse-patient relations, patient isolation, patient monitoring, vital signs, workflow

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