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

Artificial intelligence (AI)-enhanced interventions show promise for improving the delivery of long-term care (LTC) services for older people. However, the research field is developmental and has yet to be systematically synthesised. This systematic review aimed to synthesise the literature on the acceptability and effectiveness of AI-enhanced interventions for older people receiving LTC services. We conducted a systematic search that identified 2720 records from Embase, Ovid, Global Health, PsycINFO, and Web of Science. 31 articles were included in the review that evaluated AI-enhanced social robots (n=22), environmental sensors (n=6), and wearable sensors (n=5) with older people receiving LTC services across 15 controlled and 14 non-controlled trials in high-income countries. Risk of bias was evaluated using the RoB 2, RoB 2 CRT, and ROBINS-I tools. Overall, AI-enhanced interventions were found to be somewhat acceptable to users with mixed evidence for their effectiveness across different health outcomes. The included studies were found to have high risk of bias which reduced confidence in the results. AI-enhanced interventions are promising innovations that could reshape the landscape of LTC globally. However, more trials are required to support their widespread implementation. Pathways are needed to support more high-quality trials, including in low-income and middle-income countries.

Healthcare Digitalisation and the Changing Nature of Work and Society

Digital technologies have profound effects on all areas of modern life, including the workplace. Certain forms of digitalisation entail simply exchanging digital files for paper, while more complex instances involve machines performing a wide variety of tasks on behalf of humans. While some are wary of the displacement of humans that occurs when, for example, robots perform tasks previously performed by humans, others argue that robots only perform the tasks that robots should have carried out in the very first place and never by humans. Understanding the impacts of digitalisation in the workplace requires an understanding of the effects of digital technology on the tasks we perform, and these effects are often not foreseeable. In this article, the changing nature of work in the health care sector is used as a case to analyse such change and its implications on three levels: the societal (macro), organisational (meso), and individual level (micro). Analysing these transformations by using a layered approach is helpful for understanding the actual magnitude of the changes that are occurring and creates the foundation for an informed regulatory and societal response. We argue that, while artificial intelligence, big data, and robotics are revolutionary technologies, most of the changes we see involve technological substitution and not infrastructural change. Even though this undermines the assumption that these new technologies constitute a fourth industrial revolution, their effects on the micro and meso level still require both political awareness and proportional regulatory responses.

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.

Ethical perceptions towards real-world use of companion robots with older people and people with dementia: survey opinions among younger adults

BACKGROUND

Use of companion robots may reduce older people's depression, loneliness and agitation. This benefit has to be contrasted against possible ethical concerns raised by philosophers in the field around issues such as deceit, infantilisation, reduced human contact and accountability. Research directly assessing prevalence of such concerns among relevant stakeholders, however, remains limited, even though their views clearly have relevance in the debate. For example, any discrepancies between ethicists and stakeholders might in itself be a relevant ethical consideration while concerns perceived by stakeholders might identify immediate barriers to successful implementation.

METHODS

We surveyed 67 younger adults after they had live interactions with companion robot pets while attending an exhibition on intimacy, including the context of intimacy for older people. We asked about their perceptions of ethical issues. Participants generally had older family members, some with dementia.

RESULTS

Most participants (40/67, 60%) reported having no ethical concerns towards companion robot use when surveyed with an open question. Twenty (30%) had some concern, the most common being reduced human contact (10%), followed by deception (6%). However, when choosing from a list, the issue perceived as most concerning was equality of access to devices based on socioeconomic factors (m = 4.72 on a scale 1-7), exceeding more commonly hypothesized issues such as infantilising (m = 3.45), and deception (m = 3.44). The lowest-scoring issues were potential for injury or harm (m = 2.38) and privacy concerns (m = 2.17). Over half (39/67 (58%)) would have bought a device for an older relative. Cost was a common reason for choosing not to purchase a device.

CONCLUSIONS

Although a relatively small study, we demonstrated discrepancies between ethical concerns raised in the philosophical literature and those likely to make the decision to buy a companion robot. Such discrepancies, between philosophers and 'end-users' in care of older people, and in methods of ascertainment, are worthy of further empirical research and discussion. Our participants were more concerned about economic issues and equality of access, an important consideration for those involved with care of older people. On the other hand the concerns proposed by ethicists seem unlikely to be a barrier to use of companion robots.

Robotic Pets: A Senior's Best Friend?

We are in the midst of a demographic phenomenon known as the graying of society. In more affluent countries, the population is aging. According to the U.S. Census Bureau, the number of Americans aged 65 and older is projected to more than double by 2060. By 2030, 20% of the U.S. population will be over 65 years old. Some other countries, including Italy, Germany, and Japan, are already at this mark.