Evidence map›Paper›PMID 31924639›Full record

SynthesisBMJ open2020

Enablers and barriers to the implementation of socially assistive humanoid robots in health and social care: a systematic review.

Irena Papadopoulos, Christina Koulouglioti, Runa Lazzarino, Sheila Ali

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 5 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

64 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Social Assistive Robots in Healthcare: Ethical Boundaries of Caritative Caring Perspective.Nursing philosophy : an international journal for healthcare professionals · 2026
    Article
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  9. The value of social robots supporting informal care: a discrete choice experiment among informal caregivers.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
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  20. Use of Socially Assistive Robots in Physiotherapy: Scoping Review.JMIR rehabilitation and assistive technologies · 2025
    Review

4 more citing papers are in PubMed but not listed here.

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

4 authors.

Irena PapadopoulosResearch Centre for Transcultural Studies in Health, Middlesex University, London, UK r.papadopoulos@mdx.ac.uk.
Christina KoulougliotiResearch Centre for Transcultural Studies in Health, Middlesex University, London, UK.
Runa LazzarinoResearch Centre for Transcultural Studies in Health, Middlesex University, London, UK.ORCID 0000-0002-4206-4913
Sheila AliResearch Centre for Transcultural Studies in Health, Middlesex University, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSocially assistive humanoid robots are considered a promising technology to tackle the challenges in health and social care posed by the growth of the ageing population. The purpose of our study was to explore the current evidence on barriers and enablers for the implementation of humanoid robots in health and social care.

designSystematic review of studies entailing hands-on interactions with a humanoid robot.

settingFrom April 2018 to June 2018, databases were searched using a combination of the same search terms for articles published during the last decade. Data collection was conducted by using the

participantsPost-experimental data were collected and analysed for a total of 420 participants. Participants comprised: older adults (n=307) aged ≥60 years, with no or some degree of age-related cognitive impairment, residing either in residential care facilities or at their home; care home staff (n=106); and informal caregivers (n=7). PRIMARY OUTCOMES: Identification of enablers and barriers to the implementation of socially assistive humanoid robots in health and social care, and consequent insights and impact. Future developments to inform further research.

resultsTwelve studies met the eligibility criteria and were included. None of the selected studies had an experimental design; hence overall quality was low, with high risks of biases. Several studies had no comparator, no baseline, small samples, and self-reported measures only. Within this limited evidence base, the enablers found were enjoyment, usability, personalisation and familiarisation. Barriers were related to technical problems, to the robots' limited capabilities and the negative preconceptions towards the use of robots in healthcare. Factors which produced mixed results were the robot's human-like attributes, previous experience with technology and views of formal and informal carers.

conclusionsThe available evidence related to implementation factors of socially assistive humanoid robots for older adults is limited, mainly focusing on aspects at individual level, and exploring acceptance of this technology. Investigation of elements linked to the environment, organisation, societal and cultural milieu, policy and legal framework is necessary. PROSPERO REGISTRATION NUMBER: CRD42018092866.

Indexed as

Attitude to ComputersSocial SupportHumansPatient Acceptance of Health CareRoboticsSelf-Help Devicesartificial intelligencehealth and social careolder adultssocially assistive humanoid robotssystematic review

Identifiers

PMID31924639
PMCPMC6955545

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.