Evidence map›Paper›PMID 41066170›Full record

SynthesisJournal of medical Internet research2025

Health Care Professionals' Perspectives of Socially Assistive Robots in Health Care Settings: Systematic Review.

Yun Hsuan Lee, Fang Yu Hsu, Angela Shin-Yu Lien

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

3 authors.

Yun Hsuan LeeGraduate Institute of Nursing, College of Medicine, Chang Gung University, Taoyuan, Taiwan.ORCID https://orcid.org/0009-0002-2926-1370
Fang Yu HsuGraduate Institute of Nursing, College of Medicine, Chang Gung University, Taoyuan, Taiwan.ORCID https://orcid.org/0009-0006-9379-4170
Angela Shin-Yu LienSchool of Nursing, College of Medicine, Chang Gung University, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0002-5711-8072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth care professionals (HCPs) are key stakeholders whose acceptance, preparedness, and ethical considerations influence the integration of socially assistive robots (SARs). This review explores HCPs' perspectives on SARs integration into clinical practice. While previous research has focused on patient outcomes, ethical considerations, or general SARs deployment, limited evidence exists on how HCPs perceive, engage with, and address SARs implementation challenges.

objectiveThis study aims to systematically analyze HCPs' perspectives on the clinical implementation of SARs, including acceptance, challenges, barriers, educational needs, and ethical concerns.

methodsFollowing PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines, we searched 13 databases (PubMed, Cochrane Library, Scopus, IEEE Xplore, ScienceDirect, CINAHL, Epistemonikos, MEDLINE [OVID], Web of Science, Embase, UpToDate, CEPS, and ProQuest Dissertations and Theses Global), with the final search on July 29, 2025. Eligible studies involved research with HCPs, examining their attitudes, perceptions, acceptance, or willingness to use SARs through qualitative, quantitative, or mixed methods designs. Studies were excluded if they focused on non-HCP populations, did not primarily investigate SARs, or lacked original data. Risk of bias was assessed with the Mixed Methods Appraisal Tool. Findings were synthesized thematically and mapped to the Unified Theory of Acceptance and Use of Technology (UTAUT) framework.

resultsA total of 15 studies (6 qualitative, 5 quantitative, and 4 mixed methods) involving 3166 HCPs across 10 countries were included. Participants were predominantly nurses and midwives (1960/3166, 61.9%), female (2618/3166, 82.7%), and based in hospital and long-term care settings across Europe (1709/3166, 54%) and Asia (1266/3166, 40%). Study quality was generally moderate, with 1 high-quality and 2 low-quality studies. Within the UTAUT framework, HCPs anticipated benefits of SARs in workload reduction, enhanced care efficiency, and improved patient well-being. However, they expressed concerns about technological reliability, maintenance requirements, role clarity, and professional identity. Acceptance was generally favorable but varied by profession, workplace, and relational attributes. Training needs, usability, and design were critical adoption determinants. Ethical concerns centered on privacy, informed consent, and equitable access.

conclusionsAlthough evidence was limited due to moderate methodological quality, small sample size, self-developed instruments, and inconsistent reporting, which constrain generalizability, this review synthesis suggests that HCPs perceive SARs as beneficial for reducing workload, enhancing efficiency, and supporting patient well-being. However, there are also concerns regarding technological reliability, ethical challenges, and role boundaries. Acceptance is facilitated by ethical literacy, training, and organizational readiness. Interdisciplinary strategies that integrate educational, ethical, and structural considerations to promote the adoption of responsible SARs in health care.

trial registrationPROSPERO CRD420251079714; https://www.crd.york.ac.uk/PROSPERO/view/CRD420251079714.

Indexed as

Attitude of Health PersonnelHealth PersonnelRoboticsSelf-Help DevicesHumanshealth care professionalshealth care providershealth care workersperspectivesrobotroboticsocially assistive robotssystematic review

Identifiers

PMID41066170
PMCPMC12550450

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.