Evidence map›Paper›PMID 42328272›Full record

ArticleFrontiers in digital health2026

Healthcare professionals' perspectives on usefulness, acceptability and implementation conditions of socially assistive robots in France: a cross-sectional survey and cluster analysis.

Lauriane Blavette, Sébastien Dacunha, Anastasiia Bondarenko, Matthieu Piccoli, Anne-Sophie Rigaud, Maribel Pino

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Lauriane BlavetteService Gériatrie 1&2, Centre Mémoire de Ressources et Recherches Île-de-France-Broca, Assistance Publique-Hôpitaux de Paris, Hôpital Broca, Paris, France.
Sébastien DacunhaService Gériatrie 1&2, Centre Mémoire de Ressources et Recherches Île-de-France-Broca, Assistance Publique-Hôpitaux de Paris, Hôpital Broca, Paris, France.
Anastasiia BondarenkoBroca Living Lab, Hôpital Broca, Paris, France.
Matthieu PiccoliService Gériatrie 1&2, Centre Mémoire de Ressources et Recherches Île-de-France-Broca, Assistance Publique-Hôpitaux de Paris, Hôpital Broca, Paris, France.
Anne-Sophie RigaudService Gériatrie 1&2, Centre Mémoire de Ressources et Recherches Île-de-France-Broca, Assistance Publique-Hôpitaux de Paris, Hôpital Broca, Paris, France.
Maribel PinoService Gériatrie 1&2, Centre Mémoire de Ressources et Recherches Île-de-France-Broca, Assistance Publique-Hôpitaux de Paris, Hôpital Broca, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In healthcare, socially assistive robots are increasingly used for logistical, assistive, and psychosocial purposes, raising ethical, social, and organizational questions. In these contexts, professionals' acceptability varies by use case, perceived risk, and care setting. Understanding how healthcare professionals evaluate these technologies is essential for anticipating their large-scale integration into health systems and its implications for workforce organization and equity of access. Methods: This cross-sectional survey in France examined healthcare professionals' perceptions of socially assistive robots, focusing on perceived usefulness, acceptability, and implementation-related factors. A self-administered 48-item questionnaire covered sociodemographic characteristics, knowledge of robots, perceived usefulness across use cases, importance of implementation factors, and acceptability and intention to use. Data were analyzed using descriptive statistics, non-parametric tests, and principal component analysis with hierarchical clustering to identify attitudinal profiles. Results: A total of 148 healthcare professionals participated, 77% reporting prior knowledge of robots. Perceived usefulness was generally high, particularly for physical tasks and recreational support, while therapeutic mediation and feeding were rated lower. Ethical, organizational, and regulatory factors were rated as very important, and acceptability was higher for general use than for personal clinical practice. Cluster analysis identified three attitudinal profiles characterized by low, moderate, and high acceptability. Discussion: Healthcare professionals expressed generally favorable but selective attitudes toward socially assistive robots, mainly valuing logistical and organizational support and remaining more cautious about therapeutic and psychosocial uses. Acceptability appeared conditional and context-dependent, linked to perceived usefulness, safeguards, and prior knowledge rather than professional or sociodemographic characteristics. These findings highlight the need for public-health and implementation strategies combining clear ethical and legal frameworks, training, and context-specific integration, and the relevance of longitudinal mixed-method studies to examine how attitudes and adoption evolve with real-world use.

Indexed as

ethical issueshealthcare professionalsimplementation conditionsperceptionssocially assistive robotssurveytechnology acceptanceusefulness

Identifiers

PMID42328272
PMCPMC13275396

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.