Evidence map›Paper›PMID 39324049›Full record

ArticleJournal of rehabilitation and assistive technologies engineering

Implementation of socially assistive robots in geriatric care institutions: Healthcare professionals' perspectives and identification of facilitating factors and barriers.

Anne-Sophie Rigaud, Sébastien Dacunha, Clara Harzo, Hermine Lenoir, Imad Sfeir, Matthieu Piccoli, Maribel Pino

Abstract read
In one paragraph

Article in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
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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.

Anne-Sophie RigaudFaculté de Médecine, Maladie d'Alzheimer, Université Paris Cité, Paris, France.
Sébastien DacunhaFaculté de Médecine, Maladie d'Alzheimer, Université Paris Cité, Paris, France.
Clara HarzoFaculté de Médecine, Maladie d'Alzheimer, Université Paris Cité, Paris, France.
Hermine LenoirFaculté de Médecine, Maladie d'Alzheimer, Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0003-4923-5591
Imad SfeirVyV3 Bourgogne Group, Dijon, France.
Matthieu PiccoliFaculté de Médecine, Maladie d'Alzheimer, Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0003-2189-8959
Maribel PinoFaculté de Médecine, Maladie d'Alzheimer, Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0002-1598-9144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The successful integration of socially assistive robots in geriatric care settings hinges on the attitudes and opinions of healthcare professionals. This study explored their needs, expectations, and perceptions regarding robot use, including facilitating factors and barriers to implementation. Methods: Twenty professionals participated in semi-structured interviews that covered topics such as robot applications, perceived value, acceptance criteria, prerequisites for deployment, ethical considerations, and design attributes. These interviews were analyzed using a deductive qualitative approach guided by the European Network for Health Technology Assessment model (version 3.0). Results: Results indicated that professionals generally viewed robots favorably, noting their usefulness in various non-intimate tasks like meal assistance and toileting. Ease of use was identified as a critical factor for robot adoption in geriatric care. Furthermore, the necessity of educating all stakeholders and providing comprehensive training to professionals emerged as essential for successful implementation. The discussions also included financial and ethical issues related to the introduction of these technologies. Conclusion: These findings will contribute to develop guidelines for designing and deploying socially assistive robots that align with the preferences and requirements of geriatric care professionals.

Indexed as

geriatric carehealthcare professionalsimplementationinnovationOlder adultssocial assistive robotstechnology

Identifiers

PMID39324049
PMCPMC11423382

What OpenQuestion holds

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LicenceCC BY-NC
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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.