Can mobilising specialists be relieved by a robotic system for the early mobilisation of intensive-care patients? A quantitative longitudinal study at three data collection points at a German university hospital

Author:

Mehler-Klamt Amrei1,Koestler Natascha1,Huber Jana1,Warmbein Angelika2,Rathgeber Ivanka2,Gutmann Marcus3,Biebl Johanna Theresia3,Hübner Lucas4,Schroeder Ines4,Scharf Christina4,Ohneberg Christoph1,Kraft Eduard3,Zoller Michael4,Fischer Uli2,Eberl Inge1

Affiliation:

1. Professorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt

2. Clinical Nursing Research and Quality Management Unit, University Hospital LMU Munich

3. Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital LMU Munich

4. Department of Anaesthesiology, University Hospital LMU Munich

Abstract

AbstractBackground: Immobility in intensive-care patients can lead to significant health risks and costs for the health system. Reasons for this include the shortage of specialist staff from nursing and physiotherapy who usually take over mobilisation activities for intensive-care patients. Use of robotic systems is to facilitate early mobilisation and thus counteract too-long immobility. Whether this can also relieve staff has not yet been sufficiently investigated. Methods: To investigate the psychological stress and behaviour of mobilising specialist during conventional and robot-assisted mobilisations of intensive-care patients and to draw conclusions regarding the burden and relief for the mobilising staff caused by the robotic system, a quantitative longitudinal study was conducted with three data collection points (T1, T2, T3). Aspects of body postures, stress perception of mobilising staff as well as the time and personnel mobilisation effort were collected in non-participatory standardised observations. Descriptive statistics were used for data analysis of the observations of 35 conventional mobilisations (T1), 55 robot-assisted mobilisations (T2) by non-routine users, and 9 robot-assisted mobilisations by routine users (T3). Results: The duration of robot-assisted mobilisation had significantly longer process times in preparation, follow-up and execution phases than conventional mobilisation (median of total duration: T1: 16 minutes, T2/3: 46 minutes). Trial registration: clinicaltrials.org TRN: NCT05071248, Date: 2021/10/21 URL https://clinicaltrials.gov/ct2/show/NCT05071248

Publisher

Research Square Platform LLC

Reference37 articles.

1. Early physical and occupational therapy in mechanically ventilated, critically ill patients: a randomised controlled trial;Schweickert WD;The Lancet,2009

2. S2e guideline: positioning and early mobilisation in prophylaxis or therapy of pulmonary disorders: Revision 2015: S2e guideline of the German Society of Anaesthesiology and Intensive Care Medicine (DGAI);Bein T;Anaesthesist,2015

3. What is the optimum time for initiation of early mobilization in mechanically ventilated patients? A network meta-analysis;Ding N;PLoS ONE,2019

4. ICU early mobilization: from recommendation to implementation at three medical centers;Engel HJ;CRIT CARE MED,2013

5. Bundesministerium für Gesundheit (BMG), Herausgeber. Beschäftigte in der Pflege; 2018 [cited 2021 Dec 13]. Available from: URL: https://www.bundesgesundheitsministerium.de/themen/pflege/pflegekraefte/beschaeftigte.html#:~:text=Besch%C3%A4ftigte%20in%20der%20Pflege%201%20Statistische%20Daten.%20… der%20Kranken-%20und%20Altenpflege.%20… %20Weitere%20Artikel… %20.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3