A rule-based robotic assistance system providing physical relief for nurses during repositioning tasks at the care bed

Kowalski, Christian; Brinkmann, Anna; Böhlen, Conrad Fifelski-von; Hinrichs, Pascal; Hein, Andreas

doi:10.1007/s41315-022-00266-8

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…According to Simon (2), the professional groups of care staff, for example, felt mentally, but also physically, highly stressed by knowing of the insu cient care of the patients and the generally very high workload. As a result, care staff have an increased number of sick days or even leave the profession prematurely (4). Mobilisation of patients can also lead to high physical stress.…”

Section: Introductionmentioning

confidence: 99%

Robot-assisted mobilisation in the intensive care unit - does it offer relief to mobilising specialists? A qualitative longitudinal study at three data collection points at a German university hospital

Mehler-Klamt,

Huber,

Köstler

et al. 2023

Preprint

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Intensive-care patients are often forced into extended immobility, bringing with it a high risk of long-term damage. Reasons for this include the shortage of specialist staff in healthcare, lack of aids and the high safety risk involved in transferring patients to a therapy device. However, early mobilisation can positively affect patient outcome and counteract complications. Robotic systems may also help relieve mobilising staff and make mobilisation more feasible. A qualitative longitudinal study was performed to investigate how mobilising specialists perceive the use of a robotic system for mobilisation and which stress and relief factors occur in this context. A total of 29 guided interviews were conducted at three data collection points for this. The evaluation was performed using qualitative content analysis. Results show that mobilisation using the robotic VEMOTION® system was perceived as less physically stressful or physically relieving when compared to conventional mobilisation. The psychological stress was higher than the psychological stress during conventional mobilisation (T1), in particular in the non-routine users (T2) of robot-assisted mobilisation. The greatest challenges were the high time requirements for preparation as well as the integration of mobilisation into the daily routine. The lack of routine and the associated uncertainty in dealing with the system were named as a major problem. These aspects meant that some users who hadn`t yet been able to develop a routine (T2) with the device didn`t accept the system and didn`t use it as a result. Users with routine (T3) described robot-assisted mobilisation as causing little psychological stress. Trial registration:clinicaltrials.org TRN: NCT05071248, Date: 2021/10/21 URL: https://clinicaltrials.gov/ct2/show/NCT05071248

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Section: Introductionmentioning

confidence: 99%

Robot-assisted mobilisation in the intensive care unit - does it offer relief to mobilising specialists? A qualitative longitudinal study at three data collection points at a German university hospital

Mehler-Klamt,

Huber,

Köstler

et al. 2023

Preprint

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show abstract

“…Robotics, in particular, has the ability to offer general physical comfort during particularly stressful care tasks offered at the bedside by conducting assistance activities, in addition to already existing physical aids [28]. In the medical industry, there is a considerable need for transfer devices that can reduce the physical demands on nurses [25].…”

Section: Patient Transfer Challengesmentioning

confidence: 99%

Sensor System to Determine Force and Direction for Push Handles on Patient Transport System

Chimehi¹

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Physical relief potential through robot-assisted mobilization in nursing care: an exploratory study

Behrens,

Kowalski,

Brinkmann

et al. 2023

Health Technol.

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Purpose Physically demanding activities at the nursing bed are a key factor in the overwork of nursing staff and play a major role in the development of musculoskeletal disorders. The heavy back strain plays a significant part in this. Technical aids such as robotic assistance systems have the potential to minimize this overload during nursing activities. In the present work, we have investigated the relief potential of a supporting robotic assistance system developed in the AdaMeKoR project. An exploratory study design was developed to assess the relief potential of the robotic system for nurses during the care action of repositioning from the supine position to the sitting position at the edge of a nursing bed under kinaesthetic principles. Methods The study was conducted in March 2022 with a total of 21 nursing professionals participating. Safety precautions at this stage of the robot’s development made it necessary to use a 40 kg patient simulator instead of having a human act as the patient. Each participant performed the repositioning three times in the conventional manner and three times with the robotic-assistance. The conventional and the robotic-assisted task execution was compared using different perspectives of analysis. From a sensory perspective, ground reaction forces and electromyography data were collected and analyzed. A kinaesthetic perspective was added using 3D-video data which was analyzed by professional kinaesthetics trainers. A third perspective was added by collecting the subjective workload experiences of the participants. Results While participants’ self-assessment based on a NASA-TLX questionnaire suggests more of a physical and psychological strain from using the robot, electromyography shows a 24.41% reduction in muscle activity for left back extensors and 7.99% for right back extensors. The kinaesthetic visual inspection of the study participants also allows conclusions to be made that the robot assistance system has a relieving effect when performing the nursing task. Conclusions The conducted study suggests that overall the robotic-assistance has the potential of relieving nurses of partial physical exertion during mobilization. However, the different focuses of analysis show varying results in regard to external, i.e. sensor data and expert analysis, compared to internal, i.e. the nurses, perspectives. Going forward, these results have to be further expanded to get more robust analyses and insights on the interdependencies of subjective factors contributing to the experience of workload. In view of the fact that robotics for nursing is still a relatively new field and there are various lessons to be learned regarding the conceptualization of studies and corresponding evaluations, our approach of combining perspectives of analysis allows for a more differentiated view of the subject at hand.

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A rule-based robotic assistance system providing physical relief for nurses during repositioning tasks at the care bed

Cited by 6 publications

References 14 publications

Robot-assisted mobilisation in the intensive care unit - does it offer relief to mobilising specialists? A qualitative longitudinal study at three data collection points at a German university hospital

Robot-assisted mobilisation in the intensive care unit - does it offer relief to mobilising specialists? A qualitative longitudinal study at three data collection points at a German university hospital

Sensor System to Determine Force and Direction for Push Handles on Patient Transport System

Physical relief potential through robot-assisted mobilization in nursing care: an exploratory study

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