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Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop

BACKGROUND: Interest in digital technologies in the health care sector is growing and can be a way to reduce the burden on professional caregivers while helping people to become more independent. Social robots are regarded as a special form of technology that can be usefully applied in professional...

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Autores principales: Busse, Theresa Sophie, Kernebeck, Sven, Nef, Larissa, Rebacz, Patrick, Kickbusch, Ilona, Ehlers, Jan Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663608/
https://www.ncbi.nlm.nih.gov/pubmed/34757318
http://dx.doi.org/10.2196/20046
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author Busse, Theresa Sophie
Kernebeck, Sven
Nef, Larissa
Rebacz, Patrick
Kickbusch, Ilona
Ehlers, Jan Peter
author_facet Busse, Theresa Sophie
Kernebeck, Sven
Nef, Larissa
Rebacz, Patrick
Kickbusch, Ilona
Ehlers, Jan Peter
author_sort Busse, Theresa Sophie
collection PubMed
description BACKGROUND: Interest in digital technologies in the health care sector is growing and can be a way to reduce the burden on professional caregivers while helping people to become more independent. Social robots are regarded as a special form of technology that can be usefully applied in professional caregiving with the potential to focus on interpersonal contact. While implementation is progressing slowly, a debate on the concepts and applications of social robots in future care is necessary. OBJECTIVE: In addition to existing studies with a focus on societal attitudes toward social robots, there is a need to understand the views of professional caregivers and patients. This study used desired future scenarios to collate the perspectives of experts and analyze the significance for developing the place of social robots in care. METHODS: In February 2020, an expert workshop was held with 88 participants (health professionals and educators; [PhD] students of medicine, health care, professional care, and technology; patient advocates; software developers; government representatives; and research fellows) from Austria, Germany, and Switzerland. Using the scenario methodology, the possibilities of analog professional care (Analog Care), fully robotic professional care (Robotic Care), teams of robots and professional caregivers (Deep Care), and professional caregivers supported by robots (Smart Care) were discussed. The scenarios were used as a stimulus for the development of ideas about future professional caregiving. The discussion was evaluated using qualitative content analysis. RESULTS: The majority of the experts were in favor of care in which people are supported by technology (Deep Care) and developed similar scenarios with a focus on dignity-centeredness. The discussions then focused on the steps necessary for its implementation, highlighting a strong need for the development of eHealth competence in society, a change in the training of professional caregivers, and cross-sectoral concepts. The experts also saw user acceptance as crucial to the use of robotics. This involves the acceptance of both professional caregivers and care recipients. CONCLUSIONS: The literature review and subsequent workshop revealed how decision-making about the value of social robots depends on personal characteristics related to experience and values. There is therefore a strong need to recognize individual perspectives of care before social robots become an integrated part of care in the future.
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spelling pubmed-86636082022-01-05 Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop Busse, Theresa Sophie Kernebeck, Sven Nef, Larissa Rebacz, Patrick Kickbusch, Ilona Ehlers, Jan Peter J Med Internet Res Original Paper BACKGROUND: Interest in digital technologies in the health care sector is growing and can be a way to reduce the burden on professional caregivers while helping people to become more independent. Social robots are regarded as a special form of technology that can be usefully applied in professional caregiving with the potential to focus on interpersonal contact. While implementation is progressing slowly, a debate on the concepts and applications of social robots in future care is necessary. OBJECTIVE: In addition to existing studies with a focus on societal attitudes toward social robots, there is a need to understand the views of professional caregivers and patients. This study used desired future scenarios to collate the perspectives of experts and analyze the significance for developing the place of social robots in care. METHODS: In February 2020, an expert workshop was held with 88 participants (health professionals and educators; [PhD] students of medicine, health care, professional care, and technology; patient advocates; software developers; government representatives; and research fellows) from Austria, Germany, and Switzerland. Using the scenario methodology, the possibilities of analog professional care (Analog Care), fully robotic professional care (Robotic Care), teams of robots and professional caregivers (Deep Care), and professional caregivers supported by robots (Smart Care) were discussed. The scenarios were used as a stimulus for the development of ideas about future professional caregiving. The discussion was evaluated using qualitative content analysis. RESULTS: The majority of the experts were in favor of care in which people are supported by technology (Deep Care) and developed similar scenarios with a focus on dignity-centeredness. The discussions then focused on the steps necessary for its implementation, highlighting a strong need for the development of eHealth competence in society, a change in the training of professional caregivers, and cross-sectoral concepts. The experts also saw user acceptance as crucial to the use of robotics. This involves the acceptance of both professional caregivers and care recipients. CONCLUSIONS: The literature review and subsequent workshop revealed how decision-making about the value of social robots depends on personal characteristics related to experience and values. There is therefore a strong need to recognize individual perspectives of care before social robots become an integrated part of care in the future. JMIR Publications 2021-11-10 /pmc/articles/PMC8663608/ /pubmed/34757318 http://dx.doi.org/10.2196/20046 Text en ©Theresa Sophie Busse, Sven Kernebeck, Larissa Nef, Patrick Rebacz, Ilona Kickbusch, Jan Peter Ehlers. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 10.11.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Busse, Theresa Sophie
Kernebeck, Sven
Nef, Larissa
Rebacz, Patrick
Kickbusch, Ilona
Ehlers, Jan Peter
Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop
title Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop
title_full Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop
title_fullStr Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop
title_full_unstemmed Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop
title_short Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop
title_sort views on using social robots in professional caregiving: content analysis of a scenario method workshop
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663608/
https://www.ncbi.nlm.nih.gov/pubmed/34757318
http://dx.doi.org/10.2196/20046
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