Evidence map›Paper›PMID 36797701›Full record

ArticleBMC nursing2023

Barriers and facilitators in the implementation of mobilization robots in hospitals from the perspective of clinical experts and developers.

Angelika Warmbein, Ivanka Rathgeber, Janesca Seif, Amrei C Mehler-Klamt, Lena Schmidbauer, Christina Scharf, Lucas Hübner, Ines Schroeder, Johanna Biebl, Marcus Gutmann and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 8% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. 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

13 authors at 3 institutions in 1 country.

Angelika Warmbein *Clinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. angelika.warmbein@med.uni-muenchen.de.
Ivanka Rathgeber *Clinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Janesca SeifClinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Amrei C Mehler-KlamtProfessorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany.
Lena SchmidbauerProfessorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany.
Christina ScharfDepartment of Anesthesiology, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Lucas HübnerDepartment of Anesthesiology, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Ines SchroederDepartment of Anesthesiology, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Johanna BieblDepartment of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital LMU Munich, Munich, Germany.
Marcus GutmannDepartment of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital LMU Munich, Munich, Germany.
Inge EberlProfessorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany.
Michael ZollerDepartment of Anesthesiology, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Uli FischerClinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
LMU Klinikum · DELudwig-Maximilians-Universität München · DECatholic University of Eichstätt-Ingolstadt · DE

Funding

Bundesministerium für Bildung und Forschung 16SV842
6 · The paper itself

Abstract

backgroundEarly mobilization can help reduce severe side effects such as muscle atrophy that occur during hospitalization. However, due to time and staff shortages in intensive and critical care as well as safety risks for patients, it is often difficult to adhere to the recommended therapy time of twenty minutes twice a day. New robotic technologies might be one approach to achieve early mobilization effectively for patients and also relieve users from physical effort. Nevertheless, currently there is a lack of knowledge regarding the factors that are important for integrating of these technologies into complex treatment settings like intensive care units or rehabilitation units.

methodsEuropean experts from science, technical development and end-users of robotic systems (n = 13) were interviewed using a semi-structured interview guideline to identify barriers and facilitating factors for the integration of robotic systems into daily clinical practice. They were asked about structural, personnel and environmental factors that had an impact on integration and how they had solved challenges. A latent content analysis was performed regarding the COREQ criteria.

resultsWe found relevant factors regarding the development, introduction, and routine of the robotic system. In this context, costs, process adjustments, a lack of exemptions, and a lack of support from the manufacturers/developers were identified as challenges. Easy handling, joint decision making between the end-users and the decision makers in the hospital, an accurate process design and the joint development of the robotic system of end-users and technical experts were found to be facilitating factors.

conclusionThe integration and preparation for the integration of robotic assistance systems into the inpatient setting is a complex intervention that involves many parties. This study provides evidence for hospitals or manufacturers to simplify the planning of integrations for permanent use.

trial registrationDRKS-ID: DRKS00023848; registered 10/12/2020.

Indexed as

HospitalImplementationInnovationInpatient settingIntegrationNursingRoboticsTechnology

Identifiers

PMID36797701
PMCPMC9936640
OpenAlexW4321165189

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.