Literature DB >> 26364706

Benefits and problems of health-care robots in aged care settings: A comparison trial.

Elizabeth Broadbent1, Ngaire Kerse2, Kathryn Peri3, Hayley Robinson1, Chandimal Jayawardena4, Tony Kuo4, Chandan Datta4, Rebecca Stafford1, Haley Butler1, Pratyusha Jawalkar1, Maddy Amor1, Ben Robins5, Bruce MacDonald4.   

Abstract

AIM: This study investigated whether multiple health-care robots could have any benefits or cause any problems in an aged care facility.
METHOD: Fifty-three residents and 53 staff participated in a non-randomised controlled trial over 12 weeks. Six robots provided entertainment, communication and health-monitoring functions in staff rooms and activity lounges. These settings were compared to control settings without robots.
RESULTS: There were no significant differences between groups in resident or staff outcomes, except a significant increase in job satisfaction in the control group only. The intervention group perceived the robots had more agency and experience than the control group did. Perceived agency of the robots decreased over time in both groups. Overall, we received very mixed responses with positive, neutral and negative comments.
CONCLUSIONS: The robots had no major benefits or problems. Future research could give robots stronger operational roles, use more specific outcome measures, and perform cost-benefit analyses.
© 2015 AJA Inc.

Keywords:  aged care; depression; quality of life; residents; robot; staff

Mesh:

Year:  2015        PMID: 26364706     DOI: 10.1111/ajag.12190

Source DB:  PubMed          Journal:  Australas J Ageing        ISSN: 1440-6381            Impact factor:   2.111


  8 in total

1.  Understanding healthcare providers' perceptions of a personal assistant robot.

Authors:  Tracy L Mitzner; Lorenza Tiberio; Charles C Kemp; Wendy A Rogers
Journal:  Gerontechnology       Date:  2018-03

Review 2.  Effectiveness of Digital Technologies to Support Nursing Care: Results of a Scoping Review.

Authors:  Kai Huter; Tobias Krick; Dominik Domhoff; Kathrin Seibert; Karin Wolf-Ostermann; Heinz Rothgang
Journal:  J Multidiscip Healthc       Date:  2020-12-09

3.  Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies.

Authors:  Kate Loveys; Matthew Prina; Chloe Axford; Òscar Ristol Domènec; William Weng; Elizabeth Broadbent; Sameer Pujari; Hyobum Jang; Zee A Han; Jotheeswaran Amuthavalli Thiyagarajan
Journal:  Lancet Healthy Longev       Date:  2022-04

4.  "We're Still Struggling a Bit to Actually Figure Out What That Means for Government": An Exploration of the Policy Capacity Required to Oversee Robot Technologies in Australia and New Zealand Care Services.

Authors:  Helen Dickinson; Catherine Smith; Nicole Carey; Gemma Carey
Journal:  Int J Environ Res Public Health       Date:  2022-04-13       Impact factor: 3.390

Review 5.  Methodologies Used to Study the Feasibility, Usability, Efficacy, and Effectiveness of Social Robots For Elderly Adults: Scoping Review.

Authors:  Aysan Mahmoudi Asl; Mauricio Molinari Ulate; Manuel Franco Martin; Henriëtte van der Roest
Journal:  J Med Internet Res       Date:  2022-08-01       Impact factor: 7.076

6.  Measuring the effectiveness of digital nursing technologies: development of a comprehensive digital nursing technology outcome framework based on a scoping review.

Authors:  Tobias Krick; Kai Huter; Kathrin Seibert; Dominik Domhoff; Karin Wolf-Ostermann
Journal:  BMC Health Serv Res       Date:  2020-03-24       Impact factor: 2.655

7.  Impacts of a Care Robotics Project on Finnish Home Care Workers' Attitudes towards Robots.

Authors:  Teemu Rantanen; Teppo Leppälahti; Jaakko Porokuokka; Sari Heikkinen
Journal:  Int J Environ Res Public Health       Date:  2020-09-30       Impact factor: 3.390

Review 8.  Social Telepresence Robots: A Narrative Review of Experiments Involving Older Adults before and during the COVID-19 Pandemic.

Authors:  Baptiste Isabet; Maribel Pino; Manon Lewis; Samuel Benveniste; Anne-Sophie Rigaud
Journal:  Int J Environ Res Public Health       Date:  2021-03-30       Impact factor: 3.390

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.