Literature DB >> 28282732

How do older adults experience and perceive socially assistive robots in aged care: a systematic review of qualitative evidence.

Tijs Vandemeulebroucke1, Bernadette Dierckx de Casterlé2, Chris Gastmans1.   

Abstract

OBJECTIVES: The aim of this review was to gain a better understanding of how older adults experience, perceive, think, and feel about the use of socially assistive robots (SARs) in aged care settings.
METHOD: We conducted a literature search for studies that used a qualitative or a mixed-method approach having a significant qualitative element. Pubmed, Cinahl, Embase, Scopus, and Web of Science electronic databases were queried. Candidate articles published in journals and conference proceedings were considered for review. Two independent reviewers assessed the included studies for methodological quality using the Critical Appraisal Skills Program, after which data on subjects' self-reported opinions and perceptions were extracted and synthesized using thematic analyses.
RESULTS: Seventeen studies producing 23 publications were included. Based on the opinions of older adults, four themes emerged in relation to the use of SARS: (1) roles of a SAR; (2) interaction between the older adult and the SAR, which could be further subdivided into (a) the technical aspect of the interaction and (b) the human aspect of the interaction; (3) appearance of the SAR; and (4) normative/ethical issues regarding the use of SARs in aged care.
CONCLUSIONS: Older adults have clear positive and negative opinions about different aspects of SARs in aged care. Nonetheless, some opinions can be ambiguous and need more attention if SARs are to be considered for use in aged care. Understanding older adults' lived experiences with SARs creates the possibility of using an approach that embeds technological innovation into the care practice itself.

Entities:  

Keywords:  Elderly; aged care; lived experiences; robotics; socially assistive robots

Mesh:

Year:  2017        PMID: 28282732     DOI: 10.1080/13607863.2017.1286455

Source DB:  PubMed          Journal:  Aging Ment Health        ISSN: 1360-7863            Impact factor:   3.658


  16 in total

1.  True technology-enabled mental health care: when will we trust the computers and robots?

Authors:  Alishia Williams
Journal:  Mhealth       Date:  2018-04-18

2.  Personalised socially assistive robot for cardiac rehabilitation: Critical reflections on long-term interactions in the real world.

Authors:  Bahar Irfan; Nathalia Céspedes; Jonathan Casas; Emmanuel Senft; Luisa F Gutiérrez; Mónica Rincon-Roncancio; Carlos A Cifuentes; Tony Belpaeme; Marcela Múnera
Journal:  User Model User-adapt Interact       Date:  2022-07-19       Impact factor: 4.230

3.  Improving Inclusivity in Robotics Design: An Exploration of Methods for Upstream Co-Creation.

Authors:  Stevienna de Saille; Eva Kipnis; Stephen Potter; David Cameron; Calum J R Webb; Peter Winter; Peter O'Neill; Richard Gold; Kate Halliwell; Lyuba Alboul; Andy J Bell; Andrew Stratton; Jon McNamara
Journal:  Front Robot AI       Date:  2022-06-21

Review 4.  Health Promotion and Disease Prevention Interventions for the Elderly: A Scoping Review from 2015-2019.

Authors:  Ching-Ju Chiu; Jia-Chian Hu; Yi-Hsuan Lo; En-Yu Chang
Journal:  Int J Environ Res Public Health       Date:  2020-07-24       Impact factor: 3.390

5.  How do "robopets" impact the health and well-being of residents in care homes? A systematic review of qualitative and quantitative evidence.

Authors:  Rebecca Abbott; Noreen Orr; Paige McGill; Rebecca Whear; Alison Bethel; Ruth Garside; Ken Stein; Jo Thompson-Coon
Journal:  Int J Older People Nurs       Date:  2019-05-09       Impact factor: 2.115

6.  Robot for health data acquisition among older adults: a pilot randomised controlled cross-over trial.

Authors:  Roel Boumans; Fokke van Meulen; Koen Hindriks; Mark Neerincx; Marcel G M Olde Rikkert
Journal:  BMJ Qual Saf       Date:  2019-03-20       Impact factor: 7.035

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

Authors:  Irena Papadopoulos; Christina Koulouglioti; Runa Lazzarino; Sheila Ali
Journal:  BMJ Open       Date:  2020-01-09       Impact factor: 2.692

Review 8.  Artificial intelligence for good health: a scoping review of the ethics literature.

Authors:  Kathleen Murphy; Erica Di Ruggiero; Ross Upshur; Donald J Willison; Neha Malhotra; Jia Ce Cai; Nakul Malhotra; Vincci Lui; Jennifer Gibson
Journal:  BMC Med Ethics       Date:  2021-02-15       Impact factor: 2.652

9.  Companion robots for older adults: Rodgers' evolutionary concept analysis approach.

Authors:  Jeongeun Kim; Sukwha Kim; Seongheui Kim; Euehun Lee; Yoonjeong Heo; Cheol-Yong Hwang; Yun-Young Choi; Hyoun-Joong Kong; Hyeongju Ryu; Hyeongsuk Lee
Journal:  Intell Serv Robot       Date:  2021-11-16       Impact factor: 2.468

10.  Community-dwelling older adults' needs and acceptance regarding the use of robot technology to assist with daily living performance.

Authors:  Yeon-Hwan Park; Hee Kyung Chang; Min Hye Lee; Seong Hyeon Lee
Journal:  BMC Geriatr       Date:  2019-08-05       Impact factor: 3.921

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