Evidence map›Paper›PMID 36934280›Full record

ArticleBMC nursing2023

Assistive robotic systems in nursing care: a scoping review.

Christoph Ohneberg, Nicole Stöbich, Angelika Warmbein, Ivanka Rathgeber, Amrei Christin Mehler-Klamt, Uli Fischer, Inge Eberl

Full text readScoping Review
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 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Hospital-Based Robotic Applications in Nursing Practice: A Scoping Review.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2026
    Article
  6. [Smart assistants: service robots in action].Urologie (Heidelberg, Germany) · 2026
    Article
  7. Article
  8. Article
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  11. Action recognition in medical environments for robotic assistance.International journal of computer assisted radiology and surgery · 2026
    Article
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  13. Review
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  15. Article
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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

7 authors.

Christoph OhnebergProfessorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Kapuzinergasse 2, 85072, Eichstätt, Germany. Christoph.Ohneberg@ku.de.
Nicole StöbichProfessorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Kapuzinergasse 2, 85072, Eichstätt, Germany.
Angelika WarmbeinClinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Ivanka RathgeberClinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Amrei Christin Mehler-KlamtProfessorship 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.
Inge EberlProfessorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Kapuzinergasse 2, 85072, Eichstätt, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of assistive robotic systems in care is intended to relieve nursing staff. Differentiated and literature-based findings on current application possibilities, technological developments and empirical findings are necessary to enable a goal-oriented and participatory development of assistive robotic systems of care. The aim of this review was to identify assistive robotic systems and their areas of application in nursing settings. Furthermore, an overview of existing social and nursing science findings from the research field of assistive robotic systems will be described.

methodsA systematic literature search was performed based on the JBI scoping review methodology. During the period from May to August 2020, the databases MEDLINE via PubMed, CINAHL, Cochrane Library, Web of Science, and IEEE Xplore Digital Library were searched. In order to reflect current developments and evidence in the present literature work, a supplementary search with these same requirements was conducted in January 2022.

resultsThe 47 included publications are divided into 15 studies, 23 technical articles and nine opinion-based articles (text-opinion). A total of 39 different assistive robotic systems were identified. There were 55% in the testing phase and 29% of the systems in the development phase. Assistive robotic systems can be divided into six fields of application: Information and patient data processing, assistance with activities of daily living, fetch and bring activities, telepresence and communication, monitoring, safety and navigation, and complex assistance systems. The description of the study findings is divided into "integration of technology and impact on practice" and "attitude and acceptance of elderly people towards assistive robotic systems".

conclusionThe results of the research show that the use of assistive robotic systems in care mainly take place in the context of development and testing phases. In addition to usability and acceptance issues, implementation factors must be integrated into theory-driven research projects.

Indexed as

Assistive robotic systemsInpatient careLong term careNursing roboticsNursing scienceOutpatient careRobotic applicationsScoping reviewTechnology implementation

Identifiers

PMID36934280
PMCPMC10024291

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read16
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.