Integrating Socially Assistive Robots into Japanese Nursing Care

Adoption of Artificial Intelligence-Enabled Robots in Long-Term Care Homes by Health Care Providers: Scoping Review

BACKGROUND

Long-term care (LTC) homes face the challenges of increasing care needs of residents and a shortage of health care providers. Literature suggests that artificial intelligence (AI)-enabled robots may solve such challenges and support person-centered care. There is a dearth of literature exploring the perspectives of health care providers, which are crucial to implementing AI-enabled robots.

OBJECTIVE

This scoping review aims to explore this scant body of literature to answer two questions: (1) what barriers do health care providers perceive in adopting AI-enabled robots in LTC homes? (2) What strategies can be taken to overcome these barriers to the adoption of AI-enabled robots in LTC homes?

METHODS

We are a team consisting of 3 researchers, 2 health care providers, 2 research trainees, and 1 older adult partner with diverse disciplines in nursing, social work, engineering, and medicine. Referring to the Joanna Briggs Institute methodology, our team searched databases (CINAHL, MEDLINE, PsycINFO, Web of Science, ProQuest, and Google Scholar) for peer-reviewed and gray literature, screened the literature, and extracted the data. We analyzed the data as a team. We compared our findings with the Person-Centered Practice Framework and Consolidated Framework for Implementation Research to further our understanding of the findings.

RESULTS

This review includes 33 articles that met the inclusion criteria. We identified three barriers to AI-enabled robot adoption: (1) perceived technical complexity and limitation; (2) negative impact, doubted usefulness, and ethical concerns; and (3) resource limitations. Strategies to mitigate these barriers were also explored: (1) accommodate the various needs of residents and health care providers, (2) increase the understanding of the benefits of using robots, (3) review and overcome the safety issues, and (4) boost interest in the use of robots and provide training.

CONCLUSIONS

Previous literature suggested using AI-enabled robots to resolve the challenges of increasing care needs and staff shortages in LTC. Yet, our findings show that health care providers might not use robots because of different considerations. The implication is that the voices of health care providers need to be included in using robots.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-doi:10.1136/bmjopen-2023-075278.

Reducing the Burdens of Paid Caregivers of Older Adults by Using Assistive Technology: A Scoping Review

BACKGROUND

Paid caregivers are needed to support older adults, but caregiver burden contributes to high turnover rates. Assistive technologies help perform activities of daily living (ADLs) and can reduce caregiver burden, but little is known about how they impact paid caregivers.

OBJECTIVE

This scoping review provides an overview of evidence on using assistive technology to reduce burdens on paid caregivers working with older adults.

DESIGN

The review was conducted from May to August 2022. The eligibility criteria included: (1) publication within 5 years in peer-reviewed journals, (2) investigation of assistive technology, (3) main participants include paid caregivers supporting older adults, and (4) describing impacts on caregiver burden. Searches were conducted in 6 databases, generating 702 articles. The charted data included (1) country of study, (2) participant care roles, (3) study design, (4) main outcomes, and (5) types of assistive technology. Numerical description and qualitative content analysis of themes were used.

RESULTS

Fifteen articles reporting on studies in 9 countries were retained for analysis. Studies used a variety of quantitative (8/15), qualitative (5/15), and mixed (2/15) methods. Technologies studied included grab bars and handrails, bidet seats, bed transfer devices, sensor and monitoring systems, social communication systems, and companion robots. Articles identified benefits for reducing stress and workload, while paid caregivers described both positive and negative impacts.

CONCLUSIONS

Literature describing the impact of assistive technology on paid caregivers who work with older adults is limited and uses varied methodologies. Additional research is needed to enable rigorous evaluation of specific technologies and impacts on worker turnover.

Social Robot Interventions in Mental Health Care and Their Outcomes, Barriers, and Facilitators: Scoping Review

BACKGROUND

The use of social robots as innovative therapeutic tools has been increasingly explored in recent years in an effort to address the growing need for alternative intervention modalities in mental health care.

OBJECTIVE

The aim of this scoping review was to identify and describe social robot interventions in mental health facilities and to highlight their outcomes as well as the barriers and facilitators to their implementation.

METHODS

A scoping review of the literature published since 2015 was conducted using the Arksey and O'Malley's framework. The MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and PsycINFO databases were searched, and 2239 papers were retrieved. The papers included were primary empirical studies published in peer-reviewed literature. Eligible studies were set in mental health facilities and they included participants with a known mental health disorder. The methodological quality of the included papers was also assessed using the Mixed Methods Appraisal Tool.

RESULTS

A total of 30 papers met the eligibility criteria for this review. Studies involved participants with dementia, cognitive impairment, schizophrenia, depression, autism spectrum disorder, attention-deficit hyperactivity disorder, and an intellectual disability. The outcomes studied included engagement, social interaction, emotional state, agitation, behavior, and quality of life.

CONCLUSIONS

The methodological weaknesses of the studies conducted this far and the lack of diversity in the conditions studied limit the generalizability of the results. However, despite the presence of certain barriers to their implementation (eg, technical problems, unsuitable environment, staff resistance), social robot interventions generally show positive effects on patients with mental health disorders. Studies of stronger methodological quality are needed to further understand the benefits and the place of social robots in mental health care.

The Social Robot in Rehabilitation and Assistance: What Is the Future?

This commentary aims to address the field of social robots both in terms of the global situation and research perspectives. It has four polarities. First, it revisits the evolutions in robotics, which, starting from collaborative robotics, has led to the diffusion of social robots. Second, it illustrates the main fields in the employment of social robots in rehabilitation and assistance in the elderly and handicapped and in further emerging sectors. Third, it takes a look at the future directions of the research development both in terms of clinical and technological aspects. Fourth, it discusses the opportunities and limits, starting from the development and clinical use of social robots during the COVID-19 pandemic to the increase of ethical discussion on their use.