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

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          Abstract

          Objectives

          Socially 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.

          Design

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

          Setting

          From 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 Rayyan software, a standardised predefined grid, and a risk of bias and a quality assessment tool.

          Participants

          Post-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.

          Results

          Twelve 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.

          Conclusions

          The 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.

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          Most cited references43

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          Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model

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            Acceptance of Healthcare Robots for the Older Population: Review and Future Directions

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              Scoping review on the use of socially assistive robot technology in elderly care

              Objective With an elderly population that is set to more than double by 2050 worldwide, there will be an increased demand for elderly care. This poses several impediments in the delivery of high-quality health and social care. Socially assistive robot (SAR) technology could assume new roles in health and social care to meet this higher demand. This review qualitatively examines the literature on the use of SAR in elderly care and aims to establish the roles this technology may play in the future. Design Scoping review. Data sources Search of CINAHL, Cochrane Library, Embase, MEDLINE, PsychINFO and Scopus databases was conducted, complemented with a free search using Google Scholar and reference harvesting. All publications went through a selection process, which involved sequentially reviewing the title, abstract and full text of the publication. No limitations regarding date of publication were imposed, and only English publications were taken into account. The main search was conducted in March 2016, and the latest search was conducted in September 2017. Eligibility criteria The inclusion criteria consist of elderly participants, any elderly healthcare facility, humanoid and pet robots and all social interaction types with the robot. Exclusions were acceptability studies, technical reports of robots and publications surrounding physically or surgically assistive robots. Results In total, 61 final publications were included in the review, describing 33 studies and including 1574 participants and 11 robots. 28 of the 33 papers report positive findings. Five roles of SAR were identified: affective therapy, cognitive training, social facilitator, companionship and physiological therapy. Conclusions Although many positive outcomes were reported, a large proportion of the studies have methodological issues, which limit the utility of the results. Nonetheless, the reported value of SAR in elderly care does warrant further investigation. Future studies should endeavour to validate the roles demonstrated in this review. Systematic review registration NIHR 58672.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2020
                9 January 2020
                : 10
                : 1
                : e033096
                Affiliations
                [1 ] departmentResearch Centre for Transcultural Studies in Health , Middlesex University , London, UK
                [2 ] departmentResearch and Innovation , Western Sussex Hospitals NHS Foundation Trust , Worthing, UK
                Author notes
                [Correspondence to ] Professor Irena Papadopoulos; r.papadopoulos@ 123456mdx.ac.uk
                Author information
                http://orcid.org/0000-0002-4206-4913
                Article
                bmjopen-2019-033096
                10.1136/bmjopen-2019-033096
                6955545
                31924639
                1d319d70-d1aa-4004-865c-6def310bd682
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

                History
                : 19 July 2019
                : 25 November 2019
                : 03 December 2019
                Funding
                Funded by: H2020 Health, Demographic Change and Wellbeing;
                Award ID: 737858
                Funded by: Middlesex University, School of Health & Education;
                Categories
                Geriatric Medicine
                1506
                1698
                Original research
                Custom metadata
                unlocked

                Medicine
                socially assistive humanoid robots,artificial intelligence,health and social care,older adults,systematic review

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