Evidence map›Paper›PMID 36333746›Full record

ArticlePilot and feasibility studies2022

Robot-assisted early mobilization of intensive care patients: a feasibility study protocol.

Angelika Warmbein, Ines Schroeder, Amrei Mehler-Klamt, Ivanka Rathgeber, Jana Huber, Christina Scharf, Lucas Hübner, Marcus Gutmann, Johanna Biebl, Andreas Lorenz and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Pilot and feasibility studies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05071248 (Evaluation of the Effect of Robot-assisted Early Mobilization on Critically Ill Patients, on the Mobilisation Behaviour and Experience of Mobilizing Professionals and Organisational Processes in an Intensive Care Unit), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05071248 nacompletednot on this map

Evaluation of the Effect of Robot-assisted Early Mobilization on Critically Ill Patients, on the Mobilisation Behaviour and Experience of Mobilizing Professionals and Organisational Processes in an Intensive Care Unit

TypeinterventionalSponsorLudwig-Maximilians - University of MunichRan2021 to 2022Enrolled23ConditionsPatient Activation, Mobilization, RoboticsArmsVEMO (Reactive Robotics GmbH)
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Angelika WarmbeinClinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. Angelika.Warmbein@med.uni-muenchen.de.ORCID http://orcid.org/0000-0001-9636-3583
Ines SchroederDepartment of Anaesthesiology, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Amrei Mehler-KlamtProfessorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Kapuzinergasse 2, 85072, Eichstätt, Germany.
Ivanka RathgeberClinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Jana HuberProfessorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Kapuzinergasse 2, 85072, Eichstätt, Germany.
Christina ScharfDepartment of Anaesthesiology, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Lucas HübnerDepartment of Anaesthesiology, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Marcus GutmannDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Johanna BieblDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Andreas LorenzDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Eduard KraftDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Michael ZollerDepartment of Anaesthesiology, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Inge EberlProfessorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Kapuzinergasse 2, 85072, Eichstätt, Germany.
Uli FischerClinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
LMU Klinikum · DECatholic University of Eichstätt-Ingolstadt · DE

Funding

Bundesministerium für Bildung und Forschung 16SV8420
6 · The paper itself

Abstract

backgroundEarly mobilization positively influences the outcome of critically ill patients, yet in clinical practice, the implementation is sometimes challenging. In this study, an adaptive robotic assistance system will be used for early mobilization in intensive care units. The study aims to evaluate the experience of the mobilizing professionals and the general feasibility of implementing robotic assistance for mobilization in intensive care as well as the effects on patient outcomes as a secondary outcome.

methodsThe study is single-centric, prospective, and interventional and follows a longitudinal study design. To evaluate the feasibility of robotic-assisted early mobilization, the number of patients included, the number of performed VEM (very early mobilization) sessions, and the number and type of adverse events will be collected. The behavior and experience of mobilizing professionals will be evaluated using standardized observations (n > 90) and episodic interviews (n > 36) before implementation, shortly after, and in routine. Patient outcomes such as duration of mechanical ventilation, loss of muscle mass, and physical activity will be measured and compared with a historical patient population. Approximately 30 patients will be included. DISCUSSION: The study will provide information about patient outcomes, feasibility, and the experience of mobilizing professionals. It will show whether robotic systems can increase the early mobilization frequency of critically ill patients. Within ICU structures, early mobilization as therapy could become more of a focus. Effects on the mobilizing professionals such as increased motivation, physical relief, or stress will be evaluated. In addition, this study will focus on whether current structures allow following the recommendation of mobilizing patients twice a day for at least 20 min.

trial registrationClinicalTrials.gov, NCT05071248 . Date: 2021/10/21.

Indexed as

Care, NursingEarly mobilizationFeasibility studyRoboticsUnit, Intensive care

Identifiers

PMID36333746
PMCPMC9636622
OpenAlexW4308303591

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.