Views of nurses and other health and social care workers on the use of assistive humanoid and animal-like robots in health and social care: a scoping review

Socially Assistive Robots for patients with Alzheimer's Disease: A scoping review

BACKGROUND

The most common form of dementia, Alzheimer's Disease (AD), is challenging for both those affected as well as for their care providers, and caregivers. Socially assistive robots (SARs) offer promising supportive care to assist in the complex management associated with AD.

OBJECTIVES

To conduct a scoping review of published articles that proposed, discussed, developed or tested SAR for interacting with AD patients.

METHODS

We performed a scoping review informed by the methodological framework of Arksey and O'Malley and adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist for reporting the results. At the identification stage, an information specialist performed a comprehensive search of 8 electronic databases from the date of inception until January 2022 in eight bibliographic databases. The inclusion criteria were all populations who recive or provide care for AD, all interventions using SAR for AD and our outcomes of inteerst were any outcome related to AD patients or care providers or caregivers. All study types published in the English language were included.

RESULTS

After deduplication, 1251 articles were screened. Titles and abstracts screening resulted to 252 articles. Full-text review retained 125 included articles, with 72 focusing on daily life support, 46 on cognitive therapy, and 7 on cognitive assessment.

CONCLUSION

We conducted a comprehensive scoping review emphasizing on the interaction of SAR with AD patients, with a specific focus on daily life support, cognitive assessment, and cognitive therapy. We discussed our findings' pertinence relative to specific populations, interventions, and outcomes of human-SAR interaction on users and identified current knowledge gaps in SARs for AD patients.

Acceptance of a robotic system for nursing care: a cross-sectional survey with professional nurses, care recipients and relatives

BACKGROUND

The end-users' acceptance is a core concept in the development, implementation and evaluation of new systems like robotic systems in daily nursing practice. So far, studies have shown various findings concerning the acceptance of systems that are intended to assist people with support or care needs. Not much has been reported on the acceptance of robots that provide direct physical assistance to nurses in bedside care. Therefore, this study aimed to investigate the acceptance along with ethical implications of the prototype of an assistive robotic arm aiming to support nurses in bedside care, from the perspective of nurses, care recipients and their relatives.

METHODS

A cross-sectional survey design was applied at an early stage in the technological development of the system. Professional nurses, care recipients and relatives were recruited from a university hospital and a nursing home in Germany. The questionnaire was handed out following either a video or a live demonstration of the lab prototype and a subsequent one-to-one follow-up discussion. Data analysis was performed descriptively.

RESULTS

A total of 67 participants took part in the study. The rejection of specified ethical concerns across all the respondents was 77%. For items related to both perceived usefulness and intention to use, 75% of ratings across all the respondents were positive. In the follow-up discussions, the participants showed interest and openness toward the prototype, although there were varying opinions on aspects such as size, appearance, velocity, and potential impact on workload.

CONCLUSIONS

Regarding the current state of development, the acceptance among the participants was high, and ethical concerns were relatively minor. Moving forward, it would be beneficial to explore the acceptance in further developmental stages of the system, particularly when the usability is tested.

The experiences and perceptions of health-care professionals regarding assistive technology training: A systematic review

Worldwide, there is an increasing demand for assistive technologies (ATs) that can support people to live independently for longer. Health-care professionals (HCPs) often recommend AT devices, however there exists a lack of availability of devices and appropriate training in the field. This systematic review aimed to synthesize the available evidence into the experiences and training needs of HCPs in relation to AT. Six electronic databases were searched without date restrictions: MEDLINE, PsycINFO, SPP, SSCI, CINAHL, and ASSIA. Journal handsearching, searching reference lists of included studies and relevant reviews, and contacting experts in the field of AT were also conducted. Findings were analyzed using narrative synthesis. Data from 7846 participants from 62 studies were synthesized, eliciting perceived challenges in access to and provision of training, resulting in knowledge gaps across disciplines and geographic locations. Mechanisms to mitigate these issues included ongoing support following training and tailoring education to meet individual needs since comprehensive training is essential to maintain and improve competence, knowledge, and confidence. Further research is required to explore the impact and effectiveness of AT training for HCPs to ensure that users of devices are supported to live independent and healthy lives.

Cardiology professionals' views of social robots in augmenting heart failure patient care

Aims

Social robots are arriving to the modern healthcare system. Whether patients with heart failure, a prevalent chronic disease with high health and human costs would derive benefit from a social robot intervention has not been investigated empirically. Diverse healthcare provider's perspectives are needed to develop an acceptable and feasible social robot intervention to be adopted for the clinical benefit of patients with heart failure. Using a qualitative research design, this study investigated healthcare providers' perspectives of social robot use in heart failure patient care.

Methods and results

Interdisciplinary healthcare providers from a tertiary care cardiac hospital completed a structured individual interview and a supplemental questionnaire. The framework method was used to analyse the qualitative data. Respondents (n = 22; saturation was reached with this sample; 77% female; 52% physicians) were open to using social robots to augment their practice, particularly with collecting pertinent data and providing patient and family education and self-management prompts, but with limited responsibility for direct patient care. Prior to implementation, providers required robust evidence of: value-added beyond current remote patient monitoring devices, patient and healthcare provider partnerships, streamlined integration into existing practice, and capability of supporting precision medicine goals. Respondents were concerned that social robots did not address and masked broader systemic issues of healthcare access and equity.

Conclusion

The adoption of social robots is a viable option to assist in the care of patients with heart failure, albeit in a restricted capacity. The results inform the development of a social robotic intervention for patients with heart failure, including improving social robot efficiencies and increasing their uptake, while protecting patients' and providers' best interest.

[The Perspectives of Stakeholders on Users of Care Robotics at the Intersection of Age and Gender - Results of a Qualitative Analysis]

Having to face the challenges posed by a shortage of skilled care workers and an increasing number of older people in need of care, policy makers and economic enterprises perceive care robotics as a promising solution. However, studies have shown that potential users have little interest in technology and that technology developers have little knowledge about the needs and wishes of potential users. Against this background, this paper explores, based on 16 qualitative interviews with stakeholders from the area of technology development, marketing, and nursing care (science), which assumptions and expectations regarding age and gender of users are relevant in this field. The results revealed three perspectives of the stakeholders regarding the users of care robotics: 1) the need to take age and gender in development and implementation of care robotics was acknowledged, 2) the relevance of other social categories, such as education, culture and illness, was mentioned, and 3) the relevance of social categories was rejected altogether. These results are discussed in the context of discourses about diversity in care-robotics and conclusions are drawn for user-centred and diversity-sensitive technology development and implementation.

Barriers and facilitators to utilizing digital health technologies by healthcare professionals

Digital technologies change the healthcare environment, with several studies suggesting barriers and facilitators to using digital interventions by healthcare professionals (HPs). We consolidated the evidence from existing systematic reviews mentioning barriers and facilitators for the use of digital health technologies by HP. Electronic searches were performed in five databases (Cochrane Database of Systematic Reviews, Embase®, Epistemonikos, MEDLINE®, and Scopus) from inception to March 2023. We included reviews that reported barriers or facilitators factors to use technology solutions among HP. We performed data abstraction, methodological assessment, and certainty of the evidence appraisal by at least two authors. Overall, we included 108 reviews involving physicians, pharmacists, and nurses were included. High-quality evidence suggested that infrastructure and technical barriers (Relative Frequency Occurrence [RFO] 6.4% [95% CI 2.9-14.1]), psychological and personal issues (RFO 5.3% [95% CI 2.2-12.7]), and concerns of increasing working hours or workload (RFO 3.9% [95% CI 1.5-10.1]) were common concerns reported by HPs. Likewise, high-quality evidence supports that training/educational programs, multisector incentives, and the perception of technology effectiveness facilitate the adoption of digital technologies by HPs (RFO 3.8% [95% CI 1.8-7.9]). Our findings showed that infrastructure and technical issues, psychological barriers, and workload-related concerns are relevant barriers to comprehensively and holistically adopting digital health technologies by HPs. Conversely, deploying training, evaluating HP's perception of usefulness and willingness to use, and multi-stakeholders incentives are vital enablers to enhance the HP adoption of digital interventions.

Nurses' perception towards care robots and their work experience with socially assistive technology during COVID-19: A qualitative study

This study aimed to explore nurses' perceptions towards care robots and their work experiences in caring for older adults who use socially assistive technology. This qualitative descriptive study included 18 nurses who cared for older adults with dementia or living alone at home. Interviews via Zoom were conducted, and the collected data were analyzed using inductive content analysis. The three themes were identified: (1) perceived benefits, (2) perceived challenges, and (3) improvements needed to enhance the quality of care. The participants perceived that the care robot and socially assistive technology were useful in caring for older adults during COVID-19. However, they noted that the limited capabilities of the technology and an increased workload negatively impacted the quality of care for older adults. The findings of this study indicated that socially assistive technology and care robots have potential benefits in assisting older adults with dementia or living alone.

When Robots Fail—A VR Investigation on Caregivers’ Tolerance towards Communication and Processing Failures

Robots are increasingly used in healthcare to support caregivers in their daily work routines. To ensure an effortless and easy interaction between caregivers and robots, communication via natural language is expected from robots. However, robotic speech bears a large potential for technical failures, which includes processing and communication failures. It is therefore necessary to investigate how caregivers perceive and respond to robots with erroneous communication. We recruited thirty caregivers, who interacted in a virtual reality setting with a robot. It was investigated whether different kinds of failures are more likely to be forgiven with technical or human-like justifications. Furthermore, we determined how tolerant caregivers are with a robot constantly returning a process failure and whether this depends on the robot’s response pattern (constant vs. variable). Participants showed the same forgiveness towards the two justifications. However, females liked the human-like justification more and males liked the technical justification more. Providing justifications with any reasonable content seems sufficient to achieve positive effects. Robots with a constant response pattern were liked more, although both patterns achieved the same tolerance threshold from caregivers, which was around seven failed requests. Due to the experimental setup, the tolerance for communication failures was probably increased and should be adjusted in real-life situations.

Nurse preferences of caring robots: A conjoint experiment to explore most valued robot features

AIM

Due to the COVID pandemic and technological innovation, robots gain increasing role in nursing services. While studies investigated negative attitudes of nurses towards robots, we lack an understanding of nurses' preferences about robot characteristics. Our aim was to explore how key robot features compare when weighed together.

METHODS

Cross-sectional research design based on a conjoint analysis approach. Robot dimensions tested were: (1) communication; (2) look; (3) safety; (4) self-learning ability; and (5) interactive behaviour. Participants were asked to rank robot profile cards from most to least preferred.

RESULTS

In order of importance, robot's ability to learn ranked first followed by behaviour, look, operating safety and communication. Most preferred robot combination was 'robot responds to commands only, looks like a machine, never misses target, runs programme only and behaves friendly'.

CONCLUSIONS

Robot self-learning capacity was least favoured by nurses showing potential fear of robots taking over core nurse competencies.

Promoting activity in long-term care facilities with the social robot Pepper: a pilot study

About 40 000 individuals depend on assisted living in long-term care facilities in Norway. Around 80% of these have a cognitive impairment or suffer from dementia. This actualizes the need for activities that are tailored to individual needs. For some users, technology-assisted participation in communal activities can be an alternative approach to increasing their quality of life. To gain insight about the experiences of residents and healthcare professionals in long-term care facilities when interacting with the social robot Pepper. This is a qualitative pilot study. After a series of interventions with the robot in a long-term care facility, data were collected through individual interviews with healthcare professional and residents. These were analyzed through a qualitative content analysis. A thematic analysis identified three major themes: 1) Activity, joy and ambivalence, 2) challenges when introducing social robots in contexts of care and 3) thoughts about the future. Although employees and residents report that they enjoyed interactions with the social robot, highlighting opportunities for novel types of activities and action that differed from the daily routine, the subjects articulated several concerns and challenges. Developments in intelligent social robots is still in its infancy, despite much hype.

Humanoid socially assistive robots in dementia care: a qualitative study about expectations of caregivers and dementia trainers

OBJECTIVE

To examine the expectations of informal caregivers, nurses, and dementia trainers regarding the support of (physical and psychosocial) human needs by humanoid social assistive robots (SARs) in dementia care.

METHODS

A qualitative study was conducted with 11 homogeneous focus groups of informal caregivers, nurses and dementia trainers providing dementia care at home, in adult daycare centers, or in nursing homes. A qualitative content analysis was performed using a concept- and data-driven coding frame.

RESULTS

Focus group discussions with 52 individuals were held. Participants reported mostly positive expectations and stated that SARs could offer potential support in all components of human needs, especially in avoiding danger (e.g. recognise danger, organise help), communication/contact with others (e.g. enable telephone calls, provide company), daily activities (e.g. remind of appointments, household obligations), recreational activities (e.g. provide music), eating/drinking (e.g. help cook), and mobility/body posture (e.g. give reminders/instructions for physical exercise). Participants also mentioned some negative expectations in all human needs, predominantly in communication/contact with others (e.g. loss of interpersonal interaction) and avoiding danger (e.g. scepticism regarding emergencies).

CONCLUSION

Participants stated that SARs had great potential to provide assistance in dementia care, especially by reminding, motivating/encouraging and instructing people with dementia. Informal caregivers and nurses also considered them as useful supportive devices for themselves. However, participants also mentioned negative expectations, especially in communication/contact with others and avoiding danger. These findings demonstrate the support caregivers and dementia trainers expect from humanoid SARs and may contribute to their optimisation for dementia care.

Decision-makers’ attitudes toward the use of care robots in welfare services

The purpose of this study was to investigate the attitudes of decision-makers toward the use of care robots in welfare services. We investigated their knowledge regarding the use of care robots in welfare services as well as their attitudes toward using robots in their own care and in the care of various user groups, for example, children, youths, and older people. We conducted an online survey with a range of Finnish decision-makers as respondents (N = 176). The respondents were divided into two groups: service actors (n = 104) and research and development (R&D) actors (n = 72). The respondents did not regard themselves as having much knowledge about robotics; however, the results showed that the R&D actors had more overall knowledge of the use of robots than the service actors. The R&D actors were found to be more willing to accept a robot as part of their own care as well as part of the care for various user groups. The contribution of this study is a better understanding of the views of the decision-makers who are or will be in charge of the acquisition of technological devices in welfare services.

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 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.

A qualitative exploration of care homes workers' views and training needs in relation to the use of socially assistive humanoid robots in their workplace

AIM

The study aimed to explore the views and attitudes of care home workers about the socially assistive robot that was trialled in their workplace, in order to identify training needs in relation to the hypothetical future use of these robots in their workplace.

BACKGROUND

Care home workers face challenging workload conditions which may require the exploration of new solutions such as the use of socially assistive robots (SARs).

METHODS

This is a qualitative descriptive study which used semi-structured interviews. Care home workers (n = 23) in the UK participated in the study, and data collection took place between October 2019 and January 2020. NVivo software was used for data management, and a thematic inductive analysis was conducted.

RESULTS

Findings indicated that many participants were open to the use of robots and valued the potential usefulness of SARs in the care setting. However, some participants showed resistance to the use of robots and did not feel comfortable with the idea of working alongside them. Participants wished to receive technical training that would enable them to be competent in using SARs. Participants took seriously their duty of care to the older people and thus wanted to ensure that the use of the SAR would not negatively impact on the care being provided. Robots were viewed as having potential to be supplementary to human carers, such as sharing the workload and improving upon the care already being provided.

CONCLUSIONS

Care home workers express both positive and negative views in relation to the hypothetical future deployment of socially assistive humanoid robots in their workplace.

IMPLICATIONS FOR PRACTICE

The findings highlighted the importance of values around person-centred care which should be taken into account when planning for the implementation of robots in social care settings and training care home workers in how to work with robots.

Robots in Healthcare? What Patients Say

In this paper, we analyse patients’ perspectives on the introduction of artificial intelligence (AI) and robotic systems in healthcare. Based on citizens’ experiences when hospitalised for COVID-19, we explore how the opinions and concerns regarding healthcare automation could not be disassociated from a context of high pressure on the health system and lack of resources, and a political discourse on AI and robotics; a situation intensified by the pandemic. Thus, through the analysis of a set of interviews, a series of issues are identified that revolve around the following: the empirical effects of imagined robots, the vivid experience of citizens with the care crisis, the discomfort of the ineffective, the virtualised care assemblages, the human-based face-to-face relationships, and the automatisation of healthcare tasks. In light of these results, we show the variability in patients’ perspectives on AI and robotic systems and explain it by distinguishing two interpretive repertoires that account for different views and opinions: a well-being repertoire and a responsibility repertoire. Both interpretative repertoires are relevant in order to grasp the complexity of citizens’ approaches to automatisation of healthcare. Attending to both allows us to move beyond the dominant (political) discourse of technology markets as the only way to respond to healthcare challenges. Thus, we can analyse and integrate patients’ perspectives to develop AI and robotic systems in healthcare to serve citizens’ needs and collective well-being.

Attitudes toward the use of humanoid robots in healthcare—a cross-sectional study

The use of robotic technology in healthcare is increasing. The aim was to explore attitudes toward the use of humanoid robots in healthcare among patients, relatives, care professionals, school actors and other relevant actors in healthcare and to analyze the associations between participants’ background variables and attitudes. The data were collected through a cross-sectional survey (N = 264) in 2018 where participants met a humanoid robot. The survey was comprised of background variables and items from a modified Robot Attitude Scale. Multiple linear regression analysis and Spearman’s Rho correlation were used to analyze associations between variables. Most of the participants were positive toward the use of humanoid robots in healthcare and only a few were negative. Attitudes toward the use of humanoid robots were more positive among other relevant actors, such as service personnel and politicians in healthcare, participants with a higher educational level and older adults. More research is needed on the reasons underlying negative attitudes because these might affect the introduction of humanoid robots in healthcare. A careful evaluation of appropriate first target groups as well as which tasks are appropriate for humanoid robots to perform in healthcare are needed.

UNRAQ-A Questionnaire for the Use of a Social Robot in Care for Older Persons. A Multi-Stakeholder Study and Psychometric Properties

(1) Background: while there exist validated measures to assess the needs of older people, there are comparatively few validated tools to assess needs and requirements for the use of robots. Henceforth, the aim of the study is to present and validate such a tool. (2) Methods: The study group included 720 subjects (mean age 52.0 ± 37.0, 541 females) who agreed to fill the Users' Needs, Requirements, and Abilities Questionnaire (UNRAQ). The validation part of the study included 125 persons. (3) Results: the acceptance of the robot was good in the whole group. The social functions were rated worse than assistive ones. A correlation was found between the scores of social and assistive functions. The respondents claimed that older adults were not prepared to interact with the robot and not very good at handling it, and were sceptical about their willingness to learn to operate the robot. The Cronbach alpha value for the whole questionnaire was 0.95 suggesting excellent internal consistency, and the ICC value of 0.88 represents excellent agreement; (4) Conclusions: We observed a good overall acceptance of the robot across the studied group. There is considerable demand for the use of a social robot in care for older people.

Older adults' experiences with and perceptions of the use of socially assistive robots in aged care: A systematic review of quantitative evidence

BACKGROUND

Socially assistive robots (SARs) are created to meet challenges of the global increase of older adults. SARs are autonomous embodied technologies, equipped with auditory and visual faculties, enabling them to interact with users while performing assistive roles. Despite studies focusing on older adults' experiences with and perceptions of SARs, it remains unclear what these encompass.

OBJECTIVE

To gain insight into common aspects of older adults' experiences with and perceptions of SAR use in aged care, the relevant quantitative research literature was reviewed and synthesized.

METHODS

Six electronic databases were searched using detailed search strings. Applying pre-specified inclusion and exclusion criteria resulted in 23 articles to be included. Full texts were analyzed thematically, and graphs were developed to facilitate comparisons.

RESULTS

Six main themes related to older adults' experiences with and perceptions of SAR use were identified: (1) general attitudes toward SARs, (2) feelings about SARs, (3) perceived usefulness and perceived ease of use of SARs, (4) intention to use SARs, (5) tasks of SARs, (6) SARs' appearances. Ethical issues linked to SARs were barely described in the studies.

CONCLUSION

Older adults are relatively open-minded about SARs, generally feeling comfortable with at least some aspects of them, and intend to use SARs in the future, especially for physical assistive functions. Thus, SARs may meet some of older ones' needs. Although the quantitative evidence contributes to gaining insight in older adults' experiences with and perceptions of SARs, social contextualization is necessary to understand their full meaning.

Socially Assistive Robots in Aged Care: Ethical Orientations Beyond the Care-Romantic and Technology-Deterministic Gaze

Socially Assistive Robots (SARs) are increasingly conceived as applicable tools to be used in aged care. However, the use carries many negative and positive connotations. Negative connotations come forth out of romanticized views of care practices, disregarding their already established technological nature. Positive connotations are formulated out of techno-deterministic views on SAR use, presenting it as an inevitable and necessary next step in technological development to guarantee aged care. Ethical guidance of SAR use inspired by negative connotations tends to be over-restrictive whereas positive connotations tend to provide over-permissive guidance. To avoid these extremes, we report on the development and content of 21 ethical orientations regarding SAR use in aged care. These orientations resulted from a multi-phased project, which consisted of empirical-ethical research focusing on older adults' intuitions regarding SAR use and philosophical-ethical research focusing on philosophical-ethical argumentations regarding SAR use. This project led to the Socio-historical contextualization of the ethics of SAR use, in which the ethical impact of SAR use is localized on three interrelated analysis levels: societal, organizational, and individual-relational. The 21 novel orientations regarding SAR use are structured according to these levels and further categorized into foundational and applied orientations. The first category leads to critical reflection on SAR use while the latter category inspires decision-making processes regarding this use. While going beyond the care-romantic and techno-deterministic gaze of SAR use in aged care, the described orientations balance themselves between their over-restrictiveness and over-permissiveness.

Predicted Influences of Artificial Intelligence on Nursing Education: Scoping Review

BACKGROUND

It is predicted that artificial intelligence (AI) will transform nursing across all domains of nursing practice, including administration, clinical care, education, policy, and research. Increasingly, researchers are exploring the potential influences of AI health technologies (AIHTs) on nursing in general and on nursing education more specifically. However, little emphasis has been placed on synthesizing this body of literature.

OBJECTIVE

A scoping review was conducted to summarize the current and predicted influences of AIHTs on nursing education over the next 10 years and beyond.

METHODS

This scoping review followed a previously published protocol from April 2020. Using an established scoping review methodology, the databases of MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Centre, Scopus, Web of Science, and Proquest were searched. In addition to the use of these electronic databases, a targeted website search was performed to access relevant grey literature. Abstracts and full-text studies were independently screened by two reviewers using prespecified inclusion and exclusion criteria. Included literature focused on nursing education and digital health technologies that incorporate AI. Data were charted using a structured form and narratively summarized into categories.

RESULTS

A total of 27 articles were identified (20 expository papers, six studies with quantitative or prototyping methods, and one qualitative study). The population included nurses, nurse educators, and nursing students at the entry-to-practice, undergraduate, graduate, and doctoral levels. A variety of AIHTs were discussed, including virtual avatar apps, smart homes, predictive analytics, virtual or augmented reality, and robots. The two key categories derived from the literature were (1) influences of AI on nursing education in academic institutions and (2) influences of AI on nursing education in clinical practice.

CONCLUSIONS

Curricular reform is urgently needed within nursing education programs in academic institutions and clinical practice settings to prepare nurses and nursing students to practice safely and efficiently in the age of AI. Additionally, nurse educators need to adopt new and evolving pedagogies that incorporate AI to better support students at all levels of education. Finally, nursing students and practicing nurses must be equipped with the requisite knowledge and skills to effectively assess AIHTs and safely integrate those deemed appropriate to support person-centered compassionate nursing care in practice settings.

INTERNATIONAL REGISTERED REPORT IDENTIFIER IRRID

RR2-10.2196/17490.

Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review

BACKGROUND

Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses-the largest group of health professionals. Furthermore, there has been little discussion on how AI will influence the experience of person-centered compassionate care for patients, families, and caregivers.

OBJECTIVE

This review aims to summarize the extant literature on the emerging trends in health technologies powered by AI and their implications on the following domains of nursing: administration, clinical practice, policy, and research. This review summarizes the findings from 3 research questions, examining how these emerging trends might influence the roles and functions of nurses and compassionate nursing care over the next 10 years and beyond.

METHODS

Using an established scoping review methodology, MEDLINE, CINAHL, EMBASE, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Center, Scopus, Web of Science, and ProQuest databases were searched. In addition to the electronic database searches, a targeted website search was performed to access relevant gray literature. Abstracts and full-text studies were independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included articles focused on nursing and digital health technologies that incorporate AI. Data were charted using structured forms and narratively summarized.

RESULTS

A total of 131 articles were retrieved from the scoping review for the 3 research questions that were the focus of this manuscript (118 from database sources and 13 from targeted websites). Emerging AI technologies discussed in the review included predictive analytics, smart homes, virtual health care assistants, and robots. The results indicated that AI has already begun to influence nursing roles, workflows, and the nurse-patient relationship. In general, robots are not viewed as replacements for nurses. There is a consensus that health technologies powered by AI may have the potential to enhance nursing practice. Consequently, nurses must proactively define how person-centered compassionate care will be preserved in the age of AI.

CONCLUSIONS

Nurses have a shared responsibility to influence decisions related to the integration of AI into the health system and to ensure that this change is introduced in a way that is ethical and aligns with core nursing values such as compassionate care. Furthermore, nurses must advocate for patient and nursing involvement in all aspects of the design, implementation, and evaluation of these technologies.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/17490.

Formal caregivers' perceptions and experiences of using pet robots for persons living with dementia in long-term care: A meta-ethnography

AIM

To explore the formal caregivers' perceptions and experiences of using pet robots for persons living with dementia residing in long-term care settings and the factors influencing their perceptions by evaluating, integrating, and synthesizing findings from relevant international research articles using a meta-ethnography.

DESIGN

Noblit and Hare's interpretative meta-ethnography.

DATA SOURCES

Eight articles, published between 2013-2018, were identified following a systematic search of four databases (Scopus, ProQuest Central, EBSCO, and Google Scholar) between June 2019-February 2020.

REVIEW METHODS

Two researchers independently appraised the selected articles. Noblit and Hare's seven steps and a meta-ethnography reporting guidance were used. Reciprocal translation was used to obtain a line of argument synthesis.

RESULTS

Three overarching themes were identified: a beneficial tool but not for everybody, a tool that has limitations but could be overcome, and a positive experience if appropriately introduced and sustained.

CONCLUSION

This meta-ethnography contributes to the understanding of current potential benefits and limitations of pet robots for persons living with dementia residing in long-term settings. It also identifies several factors, as perceived by caregivers, that may influence their acceptability, adoption, and routine use in practice.

IMPACT

Although for the past two decades pet robots have been used as a psychosocial intervention for persons living with dementia in long-term care settings, there is a dearth of literature on the perception of formal caregivers and their experience of such interventions. While pet robots can have emotional, social, behavioural, and practical benefits, there are several technological, organizational, and contextual challenges and limitations that constrain their routine use. The solutions synthesized in this review can be of benefit to robot designers, facility managers, policy makers, and other health care professionals interested in introducing pet robots in long-term care settings.

Agents and robots for collaborating and supporting physicians in healthcare scenarios

Monitoring patients through robotics telehealth systems is an interesting scenario where patients' conditions, and their environment, are dynamic and unknown variables. We propose to improve telehealth systems' features to include the ability to serve patients with their needs, operating as human caregivers. The objective is to support the independent living of patients at home without losing the opportunity to monitor their health status. Application scenarios are several, and they spread from simple clinical assisting scenarios to an emergency one. For instance, in the case of a nursing home, the system would support in continuously monitoring the elderly patients. In contrast, in the case of an epidemic diffusion, such as COVID-19 pandemic, the system may help in all the early triage phases, significantly reducing the risk of contagion. However, the system has to let medical assistants perform actions remotely such as changing therapies or interacting with patients that need support. The paper proposes and describes a multi-agent architecture for intelligent medical care. We propose to use the beliefs-desires-intentions agent architecture, part of it is devised to be deployed in a robot. The result is an intelligent system that may allow robots the ability to select the most useful plan for unhandled situations and to communicate the choice to the physician for his validation and permission.

Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review

BACKGROUND

It is predicted that digital health technologies that incorporate artificial intelligence will transform health care delivery in the next decade. Little research has explored how emerging trends in artificial intelligence-driven digital health technologies may influence the relationship between nurses and patients.

OBJECTIVE

The purpose of this scoping review is to summarize the findings from 4 research questions regarding emerging trends in artificial intelligence-driven digital health technologies and their influence on nursing practice across the 5 domains outlined by the Canadian Nurses Association framework: administration, clinical care, education, policy, and research. Specifically, this scoping review will examine how emerging trends will transform the roles and functions of nurses over the next 10 years and beyond.

METHODS

Using an established scoping review methodology, MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Centre, Scopus, Web of Science, and Proquest databases were searched. In addition to the electronic database searches, a targeted website search will be performed to access relevant grey literature. Abstracts and full-text studies will be independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included literature will focus on nursing and digital health technologies that incorporate artificial intelligence. Data will be charted using a structured form and narratively summarized.

RESULTS

Electronic database searches have retrieved 10,318 results. The scoping review and subsequent briefing paper will be completed by the fall of 2020.

CONCLUSIONS

A symposium will be held to share insights gained from this scoping review with key thought leaders and a cross section of stakeholders from administration, clinical care, education, policy, and research as well as patient advocates. The symposium will provide a forum to explore opportunities for action to advance the future of nursing in a technological world and, more specifically, nurses' delivery of compassionate care in the age of artificial intelligence. Results from the symposium will be summarized in the form of a briefing paper and widely disseminated to relevant stakeholders.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/17490.

Technological Frames and Care Robots in Eldercare

Care robots are often portrayed as an exciting new technology for improving care practices. Whether these robots will be accepted and integrated into care work or not, is likely to be affected by the assumptions, expectations and understandings held by potential end users, such as frontline staff and the people that are cared for. This paper describes how the conceptual framework of technological frames was used to identify the nature of care robots, care robots in use and care robot strategy as shared group level assumptions, expectations and understandings of care robots among care staff and potential care receivers. Focus groups were conducted with 94 participants. These groups consisted of line managers, frontline care staff, older people and students training to become carers. The technological frame of the nature of care robots revealed two complementary components: care robots as a threat to the quality of care, and care robots as substitute for humans and human care, held together by imaginaries of care robots. The technological frame of care robots in use revealed aspects of prospective end-users’ uncertainty of their ability to handle care robots, and their own perceived lack of competence and knowledge about care robots. In addition, the following potential criteria for successful use of care robots were identified: adequate training, incentives for usage (needs and motives), usability, accessibility and finances. The technological frame of care robot strategy was revealed as believed cost savings and staff reduction. The novelty of the results, and their relevance for science and practice, is derived from the theoretical framework which indicates that adoption of care robots will be dependent on how well societies succeed in collectively shaping congruent technological frames among different stakeholders and aligning technological development accordingly.

Ethics of socially assistive robots in aged-care settings: a socio-historical contextualisation

Different embodiments of technology permeate all layers of public and private domains in society. In the public domain of aged care, attention is increasingly focused on the use of socially assistive robots (SARs) supporting caregivers and older adults to guarantee that older adults receive care. The introduction of SARs in aged-care contexts is joint by intensive empirical and philosophical research. Although these efforts merit praise, current empirical and philosophical research are still too far separated. Strengthening the connection between these two fields is crucial to have a full understanding of the ethical impact of these technological artefacts. To bridge this gap, we propose a philosophical-ethical framework for SAR use, one that is grounded in the dialogue between empirical-ethical knowledge about and philosophical-ethical reflection on SAR use. We highlight the importance of considering the intuitions of older adults and their caregivers in this framework. Grounding philosophical-ethical reflection in these intuitions opens the ethics of SAR use in aged care to its own socio-historical contextualisation. Referring to the work of Margaret Urban Walker, Joan Tronto and Andrew Feenberg, it is argued that this socio-historical contextualisation of the ethics of SAR use already has strong philosophical underpinnings. Moreover, this contextualisation enables us to formulate a rudimentary decision-making process about SAR use in aged care which rests on three pillars: (1) stakeholders' intuitions about SAR use as sources of knowledge; (2) interpretative dialogues as democratic spaces to discuss the ethics of SAR use; (3) the concretisation of ethics in SAR use.

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

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.

Trust in socially assistive robots: Considerations for use in rehabilitation

Incorporation of social robots into rehabilitation calls for understanding what factors affect user motivation and success of the interaction. Trust between the user and the robot has been identified as important in human-robot interaction and in human-human interactions in therapy. Trust has been studied in the context of automation technology, (e.g., autonomous cars), but not in the context of social robots for rehabilitation. In this narrative review, we address the unique patient-clinician-robot triad, and argue that this context calls for specific design features in order to foster trust with the users. We review pertinent methods for measuring trust, and studies demonstrating that culture, prior experience and propensity-to-trust affect to what extent users trust robots. We suggest design guidelines for fostering trust and methods for measuring trust in human-robot interactions in rehabilitation. We stress the need to create measures of trust that are accessible to people who suffer from speech or cognitive impairments. This review is pertinent to researchers, roboticists, and clinicians interested in designing and using social robots for rehabilitation.