Ann-Marie Cannaby1, Vanda Carter2, Thomas Hoe3, Stephenson Strobel4, Elena Ashtari Tafti5, Rephna Baker6, Clare Nash7, Vanessa Whatley8, Richard Gray9. 1. Chief Nurse, The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK. 2. Practice Education Facilitator for Research, The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK. 3. Economist Researcher/ Consultant, The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK. 4. Economics Candidate, Cornell University Department of Policy Analysis and Management, Ithaca, NY. 5. PhD in Economics Candidate, University College London, London, UK; The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK. 6. Associate Chief Nurse,The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK. 7. Senior Procurement Nurse, The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK. 8. Deputy CNO, The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK. 9. Professor of Clinical Nursing Practice, School of Nursing and Midwifery, College of Science, Health and Engineering, La Trobe University, Bundoora, Australia.
Abstract
Background: The association between the nurse-to-patient ratio and patient outcomes has been extensively investigated. Real time location systems have the potential capability of measuring the actual amount of bedside contact patients receive. Aims: This study aimed to determine the feasibility and accuracy of real time location systems as a measure of the amount of contact time that nurses spent in the patients' bed space. Methods: An exploratory, observational, feasibility study was designed to compare the accuracy of data collection between manual observation performed by a researcher and real time location systems data capture capability. Four nurses participated in the study, which took place in 2019 on two hospital wards. They were observed by a researcher while carrying out their work activities for a total of 230 minutes. The amount of time the nurses spent in the patients' bed space was recorded in 10-minute blocks of time and the real time location systems data were extracted for the same nurse at the time of observation. Data were then analysed for the level of agreement between the observed and the real time location systems measured data, descriptively and graphically using a kernel density and a scatter plot. Results: The difference (in minutes) between researcher observed and real time location systems measured data for the 23, 10-minute observation blocks ranged from zero (complete agreement) to 5 minutes. The mean difference between the researcher observed and real time location systems time in the patients' bed space was one minute (10% of the time). On average, real time location systems measured time in the bed space was longer than the researcher observed time. Conclusions: There were good levels of agreement between researcher observation and real time location systems data of the time nurses spend at the bedside. This study confirms that it is feasible to use real time location systems as an accurate measure of the amount of time nurses spend at the patients' bedside.
Background: The association between the nurse-to-patient ratio and patient outcomes has been extensively investigated. Real time location systems have the potential capability of measuring the actual amount of bedside contact patients receive. Aims: This study aimed to determine the feasibility and accuracy of real time location systems as a measure of the amount of contact time that nurses spent in the patients' bed space. Methods: An exploratory, observational, feasibility study was designed to compare the accuracy of data collection between manual observation performed by a researcher and real time location systems data capture capability. Four nurses participated in the study, which took place in 2019 on two hospital wards. They were observed by a researcher while carrying out their work activities for a total of 230 minutes. The amount of time the nurses spent in the patients' bed space was recorded in 10-minute blocks of time and the real time location systems data were extracted for the same nurse at the time of observation. Data were then analysed for the level of agreement between the observed and the real time location systems measured data, descriptively and graphically using a kernel density and a scatter plot. Results: The difference (in minutes) between researcher observed and real time location systems measured data for the 23, 10-minute observation blocks ranged from zero (complete agreement) to 5 minutes. The mean difference between the researcher observed and real time location systems time in the patients' bed space was one minute (10% of the time). On average, real time location systems measured time in the bed space was longer than the researcher observed time. Conclusions: There were good levels of agreement between researcher observation and real time location systems data of the time nurses spend at the bedside. This study confirms that it is feasible to use real time location systems as an accurate measure of the amount of time nurses spend at the patients' bedside.
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