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Using real-time location devices (RTLD) to quantify off-unit adult intensive care registrar workload: a 1-year tertiary NHS hospital prospective observational study

Malycha, J; Murphy, D; Barker, G; Ludbrook, G; Young, JD; Watkinson, PJ (2020) Using real-time location devices (RTLD) to quantify off-unit adult intensive care registrar workload: a 1-year tertiary NHS hospital prospective observational study. Journal of Clinical Monitoring and Computing, 34 (4). pp. 805-809. ISSN 1387-1307 https://doi.org/10.1007/s10877-019-00383-z
SGUL Authors: Murphy, Daniel Aodhan James

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Abstract

UK national guidelines state deteriorating or at risk hospital ward patients should receive care from trained critical care outreach personnel. In most tertiary hospitals this involves a team led by an Intensive Care Unit (ICU) registrar. The ICU registrar must also review patients referred for possible ICU admission. These two responsibilities require work away from the ICU. To our knowledge the burden of this work has not been described, despite its importance in ICU workforce management and patient safety. A 12-month, prospective, observational study was carried out. The primary outcome measure was ICU registrar time spent on and off-unit. The study participants were senior and junior registrars on the rota of the 16 bed, Adult Intensive Care Unit at the John Radcliffe Hospital in Oxford. To measure their work patterns, this study used AeroScout ‘T2’ Real Time Location Device (RTLD) tags (Stanley Healthcare, Swindon). In our hospital, senior and junior ICU registrars spend roughly one-fifth of their time off-unit, half of which is spent in ED. This workload combines to leave the unit unattended at night up to 10% of the time. RTLDs provide a reliable, automated method for quantifying ICU registrar off-unit work patterns. This method may be adopted for quantifying other clinical staff work patterns in suitably equipped hospital environments.

Item Type: Article
Additional Information: © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Keywords: Anesthesiology, 0903 Biomedical Engineering, 1103 Clinical Sciences
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Journal or Publication Title: Journal of Clinical Monitoring and Computing
ISSN: 1387-1307
Language: en
Dates:
DateEvent
August 2020Published
5 September 2019Published Online
28 August 2019Accepted
Publisher License: Creative Commons: Attribution 4.0
URI: https://openaccess.sgul.ac.uk/id/eprint/114311
Publisher's version: https://doi.org/10.1007/s10877-019-00383-z

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