Change in quality of life in older people with dementia participating in Paro-activity: a cluster-randomized controlled trial

Intelligent assistive technology devices for persons with dementia: A scoping review

Assistive technology (AT) with context-aware computing and artificial intelligence capabilities can be applied to address cognitive and communication impairments experienced by persons with dementia (PwD). This paper aims to provide an overview of current literature regarding some characteristics of intelligent assistive technology devices (IATDs) for cognitive and communicative impairments of PwD. It also aims to identify the areas of impairment addressed by these IATDs.A multi-faceted systematic search strategy yielded records. Predefined criteria were applied for inclusion and data extraction. Thereafter data was thematically analysed and synthesised. This review demonstrates that almost all of the research involving IATDs has focused on cognitive impairments of PwD and has not yet evolved past the conceptual or prototype stages of development. Summaries of commercially available IATDs for PwD and relevant prototypes are provided at the end of this review.This research concluded that IATDs for PwD targeting cognition and communication problems primarily focus on social robots, and that they address cognitive impairments of attention, affect, and social-pragmatic communicative impairments. Future research endeavours concerning AT for PwD should explore collaboration between computer engineering and health practitioners to address the identified gaps. This may contribute to the available information for evidence-based decision making for PwD.

Increasing efficiency and well-being? a systematic review of the empirical claims of the double-benefit argument in socially assistive devices

BACKGROUND

Socially assistive devices (care robots, companions, smart screen assistants) have been advocated as a promising tool in elderly care in Western healthcare systems. Ethical debates indicate various challenges. One of the most prevalent arguments in the debate is the double-benefit argument claiming that socially assistive devices may not only provide benefits for autonomy and well-being of their users but might also be more efficient than other caring practices and might help to mitigate scarce resources in healthcare. Against this background, we used a subset of comparative empirical studies from a comprehensive systematic review on effects and perceptions of human-machine interaction with socially assistive devices to gather and appraise all available evidence supporting this argument from the empirical side.

METHODS

Electronic databases and additional sources were queried using a comprehensive search strategy which generated 9851 records. Studies were screened independently by two authors. Methodological quality of studies was assessed. For 39 reports using a comparative study design, a narrative synthesis was performed.

RESULTS

The data shows positive evidential support to claim that some socially assistive devices (Paro) might be able to contribute to the well-being and autonomy of their users. However, results also indicate that these positive findings may be heavily dependent on the context of use and the population. In addition, we found evidence that socially assistive devices can have negative effects on certain populations. Evidence regarding the claim of efficiency is scarce. Existing results indicate that socially assistive devices can be more effective than standard of care but are far less effective than plush toys or placebo devices.

DISCUSSION

We suggest using the double-benefit argument with great caution as it is not supported by the currently available evidence. The occurrence of potentially negative effects of socially assistive devices requires more research and indicates a more complex ethical calculus than suggested by the double-benefit argument.

Staging Paro: The care of making robot(s) care

Paro, a baby seal robot, is arguably the best-known care robot worldwide. Its clinical effects on people with special needs have been studied for more than twenty years by multidisciplinary teams. However, there are very few studies of Paro 'in the wild', inserted in the routines and pressures of a care home, which is supposed to be Paro's natural environment. Based on fieldwork in a French public nursing home, this article relocates Paro's psychosocial effects - asserted by its corporate and academic advocates to stem from the robot's software and user-friendly design - in the situated practice of care deployed by the nursing staff. Although it is commonly assumed that the robot can interact autonomously, thanks to its AI, it took considerable efforts to enable 'patient-robot' interactions, and interactions were always mediated by care staff. The supervision of the interaction between Paro and its user(s) by at least one care worker, prescribed by its sales representative to prevent the seal robot from being harmed or monopolized by a resident, thus framed the very course and meaning of the interaction, through an entanglement of verbal and tactile guidance. Staging Paro often meant awakening and maintaining interest from confused or passive users, and playing with its ontological flexibility to meet the preferences of its elderly interlocutors.

The effectiveness of a therapeutic robot, 'Paro', on behavioural and psychological symptoms, medication use, total sleep time and sociability in older adults with dementia: A systematic review and meta-analysis

OBJECTIVE

To evaluate the effectiveness of a therapeutic robot, 'Paro', on anxiety, agitation, depression, apathy, medication use, total sleep time, and sociability among older adults with dementia.

DESIGN

Systematic review and meta-analysis with narrative synthesis.

SETTING AND PARTICIPANTS

Older adults aged 60 years and above with any form of dementia in the community, nursing homes, or care facilities.

METHODS

A three-step search strategy was conducted by two independent reviewers. Nine databases were searched (January 2003 to November 2022). Randomised controlled, crossover, and cluster trials on Paro for older adults with dementia published in English were included. All relevant trials were screened and assessed for risk of bias. Data were extracted using the Cochrane data collection form. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) was used to assess the quality of evidence.

RESULTS

In total, 12 articles involving 1461 participants were included. Results of the meta-analysis showed that Paro had a moderate effect on medication use (SMD: -0.63) and small effect on anxiety (SMD: -0.17), agitation (SMD: -0.27) and depression (SMD: -0.40). However, Paro exhibited negligible effect on total sleep time (SMD: -0.12). The overall quality of evidence for all outcomes were graded as low due to methodological limitations, small sample size, and wide confidence intervals. Narrative synthesis suggested that Paro reduced apathy and increase sociability.

CONCLUSION AND IMPLICATIONS

Paro could be a beneficial non-pharmacological approach to improve behavioural and psychological symptoms of dementia, reducing medication use, and increasing sociability for older adults with dementia. However, the results should be interpreted with caution as limited studies were available. Additionally, there were a variety of approaches across the studies (i.e. group and individual interventions, facilitated and non-facilitated) which made it difficult to determine which interventional approach is optimal to produce beneficial effects of Paro. Hence, more rigorous studies with a larger sample size are needed to fully understand the mechanism and effectiveness of Paro in older adults with dementia. The protocol was registered on PROSPERO (CRD42022296504).

Effects of Robot Animacy and Emotional Expressions on Perspective-Taking Abilities: A Comparative Study across Age Groups

The global population is inevitably aging due to increased life expectancy and declining birth rates, leading to an amplified demand for innovative social and healthcare services. One promising avenue is the introduction of companion robots. These robots are designed to provide physical assistance as well as emotional support and companionship, necessitating effective human-robot interaction (HRI). This study explores the role of cognitive empathy within HRI, focusing on the influence of robot facial animacy and emotional expressions on perspective-taking abilities-a key aspect of cognitive empathy-across different age groups. To this end, a director task involving 60 participants (30 young and 30 older adults) with varying degrees of robot facial animacy (0%, 50%, 100%) and emotional expressions (happy, neutral) was conducted. The results revealed that older adults displayed enhanced perspective-taking with higher animacy faces. Interestingly, while happiness on high-animacy faces improved perspective-taking, the same expression on low-animacy faces reduced it. These findings highlight the importance of considering facial animacy and emotional expressions in designing companion robots for older adults to optimize user engagement and acceptance. The study's implications are pertinent to the design and development of socially effective service robots, particularly for the aging population.

Investigating the effectiveness of Socially Assistive Robot on Depression and Cognitive Functions of Community Dwelling Older Adults with Cognitive Impairments

We evaluated a socially assistive robot (SAR) named Hyodol during a six-week intervention. This study enrolled 69 older adults with cognitive decline. To screen the eligibility, we have used the following three criteria, namely Korean-Mini-Mental Status Exam score ≤ 26). Clinical Dementia Rating 0.5-2), and Diagnostics and Statistical Manual V. Participants were divided into three groups based on their cognitive function (i.e. very mild cognitive impairment (vMCI), mild cognitive impairment (MCI), and moderate cognitive impairment (MOCI). The groups were instructed to use Hyodol at home for a six-week period. Baseline and post-intervention surveys were performed after six weeks to examine the changes in perceived health, depression, and cognitive function. The vMCI group showed a reduction in the depression score after the intervention (t = -2.447, p = 0.040), in comparison to their peers in the control group. Further, the MCI group showed an improvement in the cognitive function score after the intervention (t = 2.690, p = 0.021). No significant improvement was found among MOCI participants who used the SARs. The significance of this study was to examine whether participants with different levels of cognitive functioning would diverge after a period of intervention using the Hyodol SARs. Moreover, it presented preliminary data for services and policies for home care treatment targeted to cognitive decline in older adults.

Effectiveness of Robot Interventions for Cognitive and Psychological Outcomes among Older Adults with Cognitive Impairment: A Meta-Analysis

This review was performed to evaluate the effects of robot interventions on cognitive and psychological outcomes among older adults with cognitive impairment. Three databases (PubMed, Embase, and Cochrane Central Register of Controlled Trials) were searched for studies published in English between January 2015 and August 2021. We included studies that involved older adults with cognitive impairment, interventions using robots, outcome measures related to cognitive and psychological status, and randomized controlled trials. Ten studies included in the systematic review, and nine studies derived from these ten articles were included in the meta-analyses. The meta-analyses revealed that robot interventions significantly decreased anxiety and agitation but exerted no significant effects on cognitive function, neuropsychiatric symptoms, and quality of life. The subgroup analyses according to robot types revealed that pet-type robot interventions reduced anxiety and agitation. In addition, subgroup analysis according to the intervention format of robot interventions found that individual intervention was effective for improving agitation, but a group-based intervention was effective for improving depression. We suggest using robot interventions to improve psychological outcomes such as anxiety and agitation; however, further research is needed to determine whether robot interventions affect symptoms such as cognitive function, neuropsychiatric symptoms, and quality of life.

The Effects of Stakeholder Perceptions on the Use of Humanoid Robots in Care for Older Adults: Postinteraction Cross-Sectional Study

BACKGROUND

Efficient use of humanoid social robots in the care for older adults requires precise knowledge of expectations in this area. There is little research in this field that includes the interaction of stakeholders with the robot. Even fewer studies have compared the perceptions of older people (as care recipients) and professional caregivers (representing those taking care of older adults in teams with robots).

OBJECTIVE

The aim of this study was to analyze whether specific aspects of the perceptions about humanoid robots influence attitudes after interacting with the robot and to compare the opinions of different stakeholders (older people and their professional caregivers) on this topic. We analyzed the potential impact of the differences in perception of the robot between stakeholder groups with respect to how the robot should be designed and tailored to fit the specific needs of future users. We also attempted to define areas where targeted educational activities could bring the attitudes of the two groups of stakeholders closer to each other.

METHODS

The studied group was a conveniently available sample of individuals who took part in the presentation of and interaction with a humanoid social robot. Among them, there were 48 community-dwelling older adults (aged ≥60 years), who were participants of day care units (which may signal the presence of self-care needs), and 53 professional caregivers. The participants were asked to express their views after an interaction with a humanoid social robot (TIAGo) using the Users' Needs, Requirements and Abilities Questionnaire (UNRAQ) and the Godspeed Questionnaire Series (GQS).

RESULTS

Compared to the caregivers, older adults not only assessed the robot more positively with respect to its roles as a companion and assistant (P=.009 and P=.003, respectively) but also had higher scores on their need to increase their knowledge about the robot (P=.049). Regarding the robot's functions, the greatest differences between groups were observed for the social aspects on the UNRAQ, including decreasing the sense of loneliness (P=.003) and accompanying the user in everyday activities (P=.005). As for the GQS, the mean scores of the Animacy, Likeability, and Perceived Intelligence scales were significantly higher for older participants than for caregivers (P=.04, P<.001, and P<.001, respectively). The only parameter for which the caregivers' scores were higher than those of the older adults was the Artificial-Lifelike item from the Anthropomorphism scale of the GQS (P=.03).

CONCLUSIONS

The acceptance of the social functions of a humanoid robot is related to its perception in all analyzed aspects, whereas the expected usefulness of a care robot is not linked to aspects of anthropomorphism. Successful implementation of robots in the care for older people thus depends on considering not only the fears, needs, and requirements of various stakeholders but also on the perceptions of the robot. Given the differences between the stakeholders, targeted and properly structured educational and training activities for caregivers and prospective users may enable a seamless integration of robotic technologies in care provision.

Application of Artificial Intelligence in Geriatric Care: Bibliometric Analysis

BACKGROUND

Artificial intelligence (AI) can improve the health and well-being of older adults and has the potential to assist and improve nursing care. In recent years, research in this area has been increasing. Therefore, it is necessary to understand the status of development and main research hotspots and identify the main contributors and their relationships in the application of AI in geriatric care via bibliometric analysis.

OBJECTIVE

Using bibliometric analysis, this study aims to examine the current research hotspots and collaborative networks in the application of AI in geriatric care over the past 23 years.

METHODS

The Web of Science Core Collection database was used as a source. All publications from inception to August 2022 were downloaded. The external characteristics of the publications were summarized through HistCite and the Web of Science. Keywords and collaborative networks were analyzed using VOSviewers and Citespace.

RESULTS

We obtained a total of 230 publications. The works originated in 499 institutions in 39 countries, were published in 124 journals, and were written by 1216 authors. Publications increased sharply from 2014 to 2022, accounting for 90.87% (209/230) of all publications. The United States and the International Journal of Social Robotics had the highest number of publications on this topic. The 1216 authors were divided into 5 main clusters. Among the 230 publications, 4 clusters were modeled, including Alzheimer disease, aged care, acceptance, and the surveillance and treatment of diseases. Machine learning, deep learning, and rehabilitation had also become recent research hotspots.

CONCLUSIONS

Research on the application of AI in geriatric care has developed rapidly. The development of research and cooperation among countries/regions and institutions are limited. In the future, strengthening the cooperation and communication between different countries/regions and institutions may further drive this field's development. This study provides researchers with the information necessary to understand the current state, collaborative networks, and main research hotspots of the field. In addition, our results suggest a series of recommendations for future research.

Network meta-analysis of comparative efficacy of animal-assisted therapy vs. pet-robot therapy in the management of dementia

Objective

This network meta-analysis aimed to compare and rank the efficacy of animal-assisted therapy (AAT) and pet-robotic therapy (PRT) in the management of dementia.

Methods

Relevant studies were identified by searching PubMed, EMBASE, the Cochrane Library, SCOPUS, and Web of Science (WoS) until October 13, 2022. Traditional meta-analysis was first conducted based on the random-effects model, then random network meta-analysis was conducted to determine the relative efficacy and rank probability of AAT and PRT.

Results

Nineteen randomized controlled trials (RCTs) were included in this network meta-analysis. Network meta-analysis revealed that PRT marginally benefited agitation alleviation compared with control (standard mean difference [SMD]: -0.37, 95% confidence interval [95%CI]: -0.72 to -0.01) although both AAT and PRT did not improve cognitive function, reduce depression, and improve Quality of Life (QoL). The SUCRA probabilities indicated that PRT ranked better than AAT in agitation, cognitive function, and QoL, although there were no differences between the two therapies.

Conclusion

The present network meta-analysis reveals that PRT may help alleviate agitated behaviors in people with dementia. However, future studies are warranted to establish evidence of the effectiveness of PRT and further evaluate the differences between different robot types in managing dementia.

Effectiveness of digital technologies to engage and support the wellbeing of people with dementia and family carers at home and in care homes: A scoping review

Use of digital technologies to support meaningful engagement of people with dementia and carers increased during the COVID-19 pandemic. The purpose of this scoping review was to determine the effectiveness of digital technologies in supporting the engagement and wellbeing of people with dementia and family carers at home and in care homes. Studies published in peer reviewed literature were identified across four databases (CINAHL, Medline, PUBMED, PsychINFO). Sixteen studies met the inclusion criteria. Findings indicate that digital technologies can potentially support the wellbeing of people with dementia and family carers, although only a few studies had measured impact on wellbeing, as many were reporting on technology at proof-of-concept stage rather than commercially ready products. Moreover, current studies lacked meaningful involvement of people with dementia, family carers, and care professionals in the design of the technology. Future research should bring together people with dementia, family carers, care professionals and designers to coproduce digital technologies with researchers and evaluate them using robust methodologies. Codesign should start early in the intervention development phase and continue until implementation. There is a need for real world applications that nurture social relationships by focusing on how digital technologies can support more personalised, adaptive forms of care. Developing the evidence base to identify what makes digital technologies effective in supporting the wellbeing of people with dementia is crucial. Future interventions should therefore consider the needs and preferences of people with dementia, their families, and professional carers, as well as the suitability and sensitivity of wellbeing outcome measures.

Exploring Differential Perceptions of Artificial Intelligence in Health Care Among Younger Versus Older Canadians: Results From the 2021 Canadian Digital Health Survey

BACKGROUND

The changing landscape of health care has led to the incorporation of powerful new technologies like artificial intelligence (AI) to assist with various services across a hospital. However, despite the potential outcomes that this tool may provide, little work has examined public opinion regarding their use.

OBJECTIVE

In this study, we aim to explore differences between younger versus older Canadians with regard to the level of comfort and perceptions around the adoption and use of AI in health care settings.

METHODS

Using data from the 2021 Canadian Digital Health Survey (n=12,052), items related to perceptions about the use of AI as well as previous experience and satisfaction with health care were identified. We conducted Mann-Whitney U tests to compare the level of comfort of younger versus older Canadians regarding the use of AI in health care for a variety of purposes. Multinomial logistic regression was used to predict the comfort ratings based on categorical indicators.

RESULTS

Younger Canadians had greater knowledge of AI, but older Canadians were more comfortable with AI applied to monitoring and predicting health conditions, decision support, diagnostic imaging, precision medicine, drug and vaccine development, disease monitoring at home, tracking epidemics, and optimizing workflow to save time. Additionally, for older respondents, higher satisfaction led to higher comfort ratings. Only 1 interaction effect was identified between previous experience, satisfaction, and comfort with AI for drug and vaccine development.

CONCLUSIONS

Older Canadians may be more open to various applications of AI within health care than younger Canadians. High satisfaction may be a critical criterion for comfort with AI, especially for older Canadians. Additionally, in the case of drug and vaccine development, previous experience may be an important moderating factor. We conclude that gaining a greater understanding of the perceptions of all health care users is integral to the implementation and sustainability of new and cutting-edge technologies in health care settings.

The Impact of Socially Assistive Robots on Human Flourishing in the Context of Dementia: A Scoping Review

Socially assistive robots are being developed and tested to support social interactions and assist with healthcare needs, including in the context of dementia. These technologies bring their share of situations where moral values and principles can be profoundly questioned. Several aspects of these robots affect human relationships and social behavior, i.e., fundamental aspects of human existence and human flourishing. However, the impact of socially assistive robots on human flourishing is not yet well understood in the current state of the literature. We undertook a scoping review to study the literature on human flourishing as it relates to health uses of socially assistive robots. Searches were conducted between March and July 2021 on the following databases: Ovid MEDLINE, PubMed and PsycINFO. Twenty-eight articles were found and analyzed. Results show that no formal evaluation of the impact of socially assistive robots on human flourishing in the context of dementia in any of the articles retained for the literature review although several articles touched on at least one dimension of human flourishing and other related concepts. We submit that participatory methods to evaluate the impact of socially assistive robots on human flourishing could open research to other values at stake, particularly those prioritized by people with dementia which we have less evidence about. Such participatory approaches to human flourishing are congruent with empowerment theory.

Robots in Assisted Living Facilities: Scoping Review

BACKGROUND

Various technological interventions have been proposed and studied to address the growing demand for care of residents in assisted living facilities, in which a preexisting shortage of professional caregivers has been exacerbated by the COVID-19 pandemic. Care robots are one such intervention with the potential to improve both the care of older adults and the work life of their professional caregivers. However, concerns about efficacy, ethics, and best practices in the applications of robotic technologies in care settings remain.

OBJECTIVE

This scoping review aimed to examine the literature on robots used in assisted living facilities and identify gaps in the literature to guide future research.

METHODS

On February 12, 2022, following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) protocol, we searched PubMed, CINAHL Plus with Full Text, PsycINFO, IEEE Xplore digital library, and ACM Digital Library using predetermined search terms. Publications were included if they were written in English and focused on the use of robotics in assisted living facilities. Publications were excluded if they did not provide peer-reviewed empirical data, focused on user needs, or developed an instrument to study human-robot interaction. The study findings were then summarized, coded, and analyzed using the Patterns, Advances, Gaps, Evidence for practice, and Research recommendations framework.

RESULTS

The final sample included 73 publications from 69 unique studies on the use of robots in assisted living facilities. The findings of studies on older adults were mixed, with some studies suggesting positive impacts of robots, some expressing concerns about robots and barriers to their use, and others being inconclusive. Although many therapeutic benefits of care robots have been identified, methodological limitations have weakened the internal and external validity of the findings of these studies. Few studies (18/69, 26%) considered the context of care: most studies (48/69, 70%) collected data only on recipients of care, 15 studies collected data on staff, and 3 studies collected data on relatives or visitors. Theory-driven, longitudinal, and large sample size study designs were rare. Across the authors' disciplines, a lack of consistency in methodological quality and reporting makes it difficult to synthesize and assess research on care robotics.

CONCLUSIONS

The findings of this study call for more systematic research on the feasibility and efficacy of robots in assisted living facilities. In particular, there is a dearth of research on how robots may change geriatric care and the work environment within assisted living facilities. To maximize the benefits and minimize the consequences for older adults and caregivers, future research will require interdisciplinary collaboration among health sciences, computer science, and engineering as well as agreement on methodological standards.

Effects of a cognitive-based intervention program using social robot PIO on cognitive function, depression, loneliness, and quality of life of older adults living alone

Objective

Social robot interventions are being implemented to reduce cognitive decline, depression, and loneliness among older adults. However, the types, functions, and programs of effective social robots have not yet been confirmed. This study investigated whether a social robot intervention is effective in improving cognitive function, depression, loneliness, and quality of life in older adults living alone.

Methods

This study used a non-equivalent control group pre-test-post-test design. It was conducted twice a week, with each session lasting 50 mi; twelve sessions were conducted over 6 weeks. This study was conducted at three senior welfare centers in Korea. In each group, 10 or fewer participants used the PIO social robot. The total participants included 64 people in the experimental (n = 31) and control groups (n = 33), and consisted of older people over 65 years of age living alone.

Results

There was a statistically significant difference in the pre-post values for cognitive function (z = 5.21, p < 0.001), depression (z = -2.99, p = 0.003), and loneliness (t = -4.27, p < 0.001) in the experimental and control groups. However, there was no statistically significant difference for quality of life (z = 1.84, p = 0.066).

Conclusions

It was confirmed that a cognitive intervention program using the social robot PIO can improve cognitive function and reduce depression and loneliness in older adults living alone.

A nurse-led mHealth intervention to alleviate depressive symptoms in older adults living alone in the community: A quasi-experimental study

BACKGROUND

The prevalence of geriatric depression has increased worldwide, becoming a major contributor to the burden of health care costs. Geriatric depression is difficult to detect in daily life because of its atypical presentation for each person. Therefore, there is an emerging need to develop personalised mHealth interventions for older adults with depression based on data from an ecological momentary assessment.

OBJECTIVE

To develop and evaluate the effect of a nurse-led mHealth intervention of geriatric depression in older adults living alone.

DESIGN

A quasi-experimental research design was used, and the study followed the transparent reporting of evaluations with a nonrandomised design statement.

SETTING

The nurse-led mHealth intervention was developed and evaluated in a community senior centre in Seoul, Korea.

PARTICIPANTS

Sixty-four older adults living alone with depressive symptoms were recruited between 1 October 2018 and 1 October 2019.

METHODS

Study participants were randomly assigned to the intervention or control groups by drawing lots. In the intervention group, nurses repeatedly assessed older adults' depressive symptoms using an ecological momentary assessment via a mobile tablet. The intervention consisted of weekly sessions, which included (1) standardised mHealth device training, (2) a nurse-led mHealth programme, and (3) art activities. The control group received care as usual. Intra- and inter-group differences were evaluated using paired t-tests and analysis of covariance was used to assess subjective depression symptoms. A linear mixed-model was used to analyse the relationship between groups and momentary scores over time.

RESULTS

The average age of the final sample was 76.2 years (SD = 6.06), 63.6 % (28/44) of whom were female. Compared with the control group (n = 23), the intervention group (n = 21) showed a decreased depression score (t = 4.041, p = .027). There was no statistical difference between the intervention and control groups based on traditional scales and the ecological momentary assessment. However, our data from the ecological momentary assessment captures clear fluctuating patterns across the days during the study, which traditional scales could not measure.

CONCLUSIONS

Most of the older adults successfully participated in a nurse-led mHealth intervention that included multiple components of a non-pharmacological approach to address depression. Mental health nurses should perform critical roles to personalise mHealth activities considering the older adult's autonomy and supportive decision-making, specifically when using high-technological intervention. Future research should maximise the methodological and clinical advantage of an ecological momentary assessment of geriatric depression.

REGISTRATION

Clinical Research Information Service number KCT0005073.

Use of a Humanoid Robot in Supporting Dementia Care: A Qualitative Analysis

Introduction

Cognitive impairment significantly affects independence in persons with dementia, and consistent supervision is often needed. While interest has arisen in using humanoid robots, such as Pepper, to assist with daily caregiving activities, little is known about the perceptions of using Pepper to assist people with dementia.

Objective

This study aimed to explore the perceptions of nonhealthcare workers, care partners, and healthcare workers on the use of a Pepper robot in dementia care.

Methods

This was a secondary qualitative analysis. Data were collected from a pilot study conducted from November 2020 to March 2021 using an online survey. The survey consisted of quantitative and qualitative questions; this study only focused on the qualitative responses. The detailed procedures and the quantitative results were published elsewhere. Participants included nonhealthcare workers, care partners, and healthcare workers.

Results

A total of 194 participants responded to the open-ended question. Participants described potential benefits of Pepper including assisting with daily activities, monitoring safety and medication use, initiating reminders, and promoting activities and social interactions. Participants had concerns about privacy, cost, poor acceptance/trust, Pepper making mistakes, limitations in environmental navigation and responding to emergencies, misuse of Pepper, and Pepper replacing humans. Participants suggested that Pepper should be tailored to each individual's background, preferences, and functions and recommended improving the logistics of using Pepper, offering more emotional support and responses, and using a more natural appearance and voice.

Conclusion

Pepper may support dementia care; yet some concerns need to be addressed. Future research should consider incorporating these comments when designing robots for dementia care.

Artificial intelligence in elderly healthcare: A scoping review

The ageing population has led to a surge in the adoption of artificial intelligence (AI) technologies in elderly healthcare worldwide. However, in the advancement of AI technologies, there is currently a lack of clarity about the types and roles of AI technologies in elderly healthcare. This scoping review aimed to provide a comprehensive overview of AI technologies in elderly healthcare by exploring the types of AI technologies employed, and identifying their roles in elderly healthcare based on existing studies. A total of 10 databases were searched for this review, from January 1 2000 to July 31 2022. Based on the inclusion criteria, 105 studies were included. The AI devices utilized in elderly healthcare were summarised as robots, exoskeleton devices, intelligent homes, AI-enabled health smart applications and wearables, voice-activated devices, and virtual reality. Five roles of AI technologies were identified: rehabilitation therapists, emotional supporters, social facilitators, supervisors, and cognitive promoters. Results showed that the impact of AI technologies on elderly healthcare is promising and that AI technologies are capable of satisfying the unmet care needs of older adults and demonstrating great potential in its further development in this area. More well-designed randomised controlled trials are needed in the future to validate the roles of AI technologies in elderly healthcare.

Digital healthcare for dementia and cognitive impairment: A scoping review

BACKGROUND

Cognitive disorders, such as Alzheimer's disease, are a global health problem. Digital healthcare technology is an innovative management tool for delaying the progression of dementia and mild cognitive impairment. Thanks to digital technology, the possibility of safe and effective care for patients at home and in the community is increasing, even in situations that threaten the continuity of care, such as the COVID-19 pandemic. However, it is difficult to select appropriate technology and alternatives due to the lack of comprehensive reviews on the types and characteristics of digital technology for cognitive impairment, including their effects and limitations.

OBJECTIVE

This study aims to identify the types of digital healthcare technology for dementia and mild cognitive impairment and comprehensively examine how its outcome measures were constructed in line with each technology's purpose.

METHODS

According to the Preferred Reporting Items for Systematic reviews and Meta-Analysis extension for Scoping Reviews guidelines, a literature search was conducted in August 2021 using Medline (Ovid), EMBASE, and Cochrane library. The search terms were constructed based on Population-Concept-Context mnemonic: 'dementia', 'cognitive impairment', and 'cognitive decline'; digital healthcare technology, such as big data, artificial intelligence, virtual reality, robots, applications, and so on; and the outcomes of digital technology, such as accuracy of diagnosis and physical, mental, and social health. After grasping overall research trends, the literature was classified and analysed in terms of the type of service users and technology.

RESULTS

In total, 135 articles were selected. Since 2015, an increase in literature has been observed, and various digital healthcare technologies were identified. For people with mild cognitive impairment, technology for predicting and diagnosing the onset of dementia was studied, and for people with dementia, intervention technology to prevent the deterioration of health and induce significant improvement was considered. Regarding caregivers, many studies were conducted on monitoring and daily living assistive technologies that reduce the burden of care. However, problems such as data collection, storage, safety, and the digital divide persisted at different intensities for each technology type.

CONCLUSIONS

This study revealed that appropriate technology options and considerations may differ depending on the characteristics of users. It also emphasises the role of humans in designing and managing technology to apply digital healthcare technology more effectively.

Activity, Activity Personalization, and Well-Being in Nursing Home Residents With and Without Cognitive Impairment: An Integrative Review

OBJECTIVES

Engagement in personally relevant and pleasant activity is a facet of many theories of well-being. This integrated review and narrative synthesis explored the hypothesis that activity participation improves well-being for nursing home residents.

METHODS

Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched MEDLINE, PsycINFO, Academic Search Complete, Psychology and Behavioral Sciences Collection, Embase, and CINAHL for research published between 2006 and 2018. We included peer-reviewed, English-language studies of nursing-home residents, with interventions focused on activities and on well-being or affect outcomes.

RESULTS

After screening, the search yielded 45 studies: 15 reviews of specific activities and 30 empirical articles. We found consistent support for tailored activity interventions and less consistent support for specific or generic activity interventions with the possible exception of music therapy. Research focused on specific activity types had methodological limitations and confounds with activity preferences.

CONCLUSIONS

Participation in activities may improve well-being in residents of nursing homes. Tailored activities are likely to be superior to those provided indiscriminately to all residents.

CLINICAL IMPLICATIONS

Improving quality of life in long-term care should include opportunities to engage in activities; those most effective will be tailored to individuals and no single activity will be effective for everyone.

The Impact of Engagement with the PARO Therapeutic Robot on the Psychological Benefits of Older Adults with Dementia

OBJECTIVES

This study aimed to examine the effect of 8-weeks of a 60-minute PARO intervention to reduce depressive symptoms and loneliness in older adults with dementia and investigated changes in their emotional or behavioral expressions and level of engagement with the PARO robot.

METHODS

This was a quasi-experimental study with a repeated measures design. The outcome measures were evaluated at four time-points: before the intervention, week 4, immediately after the intervention, and one month after the PARO intervention.

RESULTS

Fifty-two participants were recruited. The age of the participants ranged from 65 to 96 years, with a mean age of 81.81 years (SD = 8.54) in the PARO group and 79.08 years (SD = 7.71) in the control group. Using a mixed between-within subjects' analysis of variance, the results showed that there were significant interaction effects between the groups and time-periods for depression (p < .000), loneliness (p < .000), and engagement (p < .000).

CONCLUSIONS

The PARO intervention alleviated depression and loneliness for older adults. Furthermore, the process of engagement with PARO may play an important role in the PARO effects.

CLINICAL IMPLICATIONS

A tailored PARO intervention of at least 4 weeks could engender positive psychological benefits for older adults.

Digital care technologies in people with dementia living in long-term care facilities to prevent falls and manage behavioural and psychological symptoms of dementia: a systematic review

Fall prevention and management of behavioural and psychological symptoms of dementia (BPSD) in long-term care (LTC) facility is a major challenge. The objective of this systematic review is to assess the evidence of digital technology in their management. All studies of English-language excluding case-reports were eligible for review. Databases chosen were MEDLINE, EMBASE, Scopus, Web of Science and PSYCINFO from January 2000 to June 2020. Downs and Black checklist was used to check for risk of bias. Papers with a focus in LTC setting, using digital technology as intervention for older adults with dementia, and with measurable outcomes (outcomes that are quantified, not descriptive) were included in the final review. Seventeen original papers (8 RCTs, 8 quasi-experimental and 1 mixed method) were included. Three articles examining position-sensor technology for fall prevention showed mixed results. Two showed no difference and 1 showed small reduction in fall after alarm removal but the positive effect might be due to bias. Overall, the sample sizes were too small to draw meaningful conclusion. Fourteen studies (9 pet robots of which 8 were robotic seal/PARO) were identified for BPSD and results were mixed. Overall, PARO might have modest benefit in BPSD compared to usual care but might be no better than plush toy with more hallucinations or delusions seen in advanced dementia. However, the significant heterogeneity in methodology (intervention intensity, lack of record in psychoactive drug use), clinical tools used (different BPSD scales, different digital technologies) and variability in outcomes made it difficult to draw clear-cut conclusion. Studies involving other digital technologies are scarce and in pilot phases; hence, conclusion is premature. One limitation of the review was that only 9 out of 17 studies were of good quality. The limited research work in position-sensors meant insufficient evidence to prove efficacy for their use in LTC setting. The possible modest benefit of PARO in BPSD (e.g. in agitation, apathy or reduction in psychoactive drugs) was off-set by possible adverse events such as delusions or hallucinations in advanced dementia.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10433-021-00627-5.

The Effect of Cognitive Function Health Care Using Artificial Intelligence Robots for Older Adults: Systematic Review and Meta-analysis

BACKGROUND

With rapidly aging populations in most parts of the world, it is only natural that the need for caregivers for older adults is going to increase in the near future. Therefore, most technologically proficient countries are in the process of using artificial intelligence (AI) to build socially assistive robots (SAR) to play the role of caregivers in enhancing interaction and social participation among older adults.

OBJECTIVE

This study aimed to examine the effect of intervention through AI SAR on the cognitive function of older adults through a systematic literature review.

METHODS

We conducted a meta-analysis of the various existing studies on the effect of AI SAR on the cognitive function of older adults to standardize the results and clarify the effect of each method and indicator. Cochrane collaboration and the systematic literature review flow of PRISMA (Preferred Reporting Item Systematic Reviews and Meta-Analyses) were used on original, peer-reviewed studies published from January 2010 to March 2022. The search words were derived by combining keywords including Population, Intervention, and Outcome-according to the Population, Intervention, Comparison, Outcome, Time, Setting, and Study Design principle-for the question "What is the effect of AI SAR on the cognitive function of older adults in comparison with a control group?" (Population: adults aged ≥65 years; Intervention: AI SAR; Comparison: comparison group; Outcome: popular function; and Study Design: prospective study). For any study, if one condition among subjects, intervention, comparison, or study design was different from those indicated, the study was excluded from the literature review.

RESULTS

In total, 9 studies were selected (6 randomized controlled trials and 3 quasi-experimental design studies) for the meta-analysis. Publication bias was examined using the contour-enhanced funnel plot method to confirm the reliability and validity of the 9 studies. The meta-analysis revealed that the average effect size of AI SAR was shown to be Hedges g=0.43 (95% CI -0.04 to 0.90), indicating that AI SAR are effective in reducing the Mini Mental State Examination scale, which reflects cognitive function.

CONCLUSIONS

The 9 studies that were analyzed used SAR in the form of animals, robots, and humans. Among them, AI SAR in anthropomorphic form were able to improve cognitive function more effectively. The development and expansion of AI SAR programs to various functions including health notification, play therapy, counseling service, conversation, and dementia prevention programs are expected to improve the quality of care for older adults and prevent the overload of caregivers. AI SAR can be considered a representative, digital, and social prescription program and a nonpharmacological intervention program that communicates with older adults 24 hours a day. Despite its effectiveness, ethical issues, the digital literacy needs of older adults, social awareness and reliability, and technological advancement pose challenges in implementing AI SAR. Future research should include bigger sample sizes, pre-post studies, as well as studies using an older adult control group.

Socially assistive robots for people with dementia: Systematic review and meta-analysis of feasibility, acceptability and the effect on cognition, neuropsychiatric symptoms and quality of life

BACKGROUND

There is increasing interest in using robots to support dementia care but little consensus on the evidence for their use. The aim of the study is to review evidence about feasibility, acceptability and clinical effectiveness of socially assistive robots used for people with dementia.

METHOD

We conducted a systematic review and meta-analysis. We searched MEDLINE, EMBASE, PsychINFO, CINHAL, IEEE Xplore Digital Library, and EI Engineering Village from inception to 04 - 02-2022 - included primary studies assessing feasibility, acceptability, or effectiveness of socially assistive robots for people with dementia. Two independent reviewers screened studies for eligibility, and assessed quality. Narrative synthesis prioritized higher quality studies, and random-effect meta-analyses compared robots with usual care (UC) or active control (AC) immediately after the intervention (short-term; ST) or long-term (LT) on cognition, neuropsychiatric symptoms, and quality of life.

FINDINGS

66 studies and four categories of robots were eligible: Companion robots (Pet and humanoid companion robots), telepresence communication robots, homecare assistive robots and multifunctional robots. PARO (companion robot seal) was feasible and acceptable but limited by its weight, cost, and sound. On meta-analysis, PARO had no ST or LT compared to UC or AC over 5-12 weeks on agitation (ST vs UC, 4 trials, 153 participants: pooled standardized mean difference (SMD) 0.25; - 0.57 to 0.06; LT vs UC; 2 trials, 77 participants, SMD = -0.24; - 0.94, 0.46), cognition (ST vs UC, 3 trials, 128 participants: SMD= 0.03; -0.32, 0.38), overall neuropsychiatric symptoms (ST vs UC, 3 trials, 169 participants: SMD= -0.01; -0.32, 0.29; ST vs AC, 2 trials, 145 participants: SMD =0.02, -0.71, 0.85), apathy (ST vs AC, 2 trials, 81 participants: SMD= 0.14; 0.29, 0.58), depression (ST vs UC, 4 trials, 181 participants; SMD= 0.08; -0.52, 0.69; LT vs UC: 2 trials, 77 participants: SMD =0.01; -0.75, 0.77), anxiety (ST vs UC: 2 trials, 104 participants, SMD= 0.24; -0.85, 1.33) and quality of life (ST vs UC, 2 trials, 127 participants: SMD=-0.05; -0.52, 0.42; ST vs AC: 2 trials, 159 participants, SMD =-0.36, -0.76, 0.05). Robotic animals, humanoid companion robots, telepresence robots and multifunctional robots were feasible and acceptable. However, humanoid companion robots have speech recognition problems, and telepresence robots and multifunctional robots were often difficult to use. There was mixed evidence about the feasibility of homecare robots. There was little evidence on any of these robots' effectiveness.

CONCLUSION

Although robots were generally feasible and acceptable, there is no clear evidence that people with dementia derive benefit from robots for cognition, neuropsychiatric symptoms, or quality of life. We recommend that future research should use high quality designs to establish evidence of effectiveness.

Management of Chronic Pain in Long-Term Care: A Systematic Review and Meta-Analysis

OBJECTIVES

Pain, a complex subjective experience, is common in care home residents. Despite advances in pain management, optimal pain control remains a challenge. In this updated systematic review, we examined effectiveness of interventions for treating chronic pain in care home residents.

DESIGN

A Cochrane-style systematic review and meta-analysis using PRISMA guidelines.

SETTING AND PARTICIPANTS

Randomized and nonrandomized controlled trials and intervention studies included care home residents aged ≥60 years receiving interventions to reduce chronic pain.

METHODS

Six databases were searched to identify relevant studies. After duplicate removal, articles were screened by title and abstract. Full-text articles were reviewed and included if they implemented a pain management intervention and measured pain with a standardized quantitative pain scale. Meta-analyses calculated standardized mean differences (SMDs) using random-effect models. Risk of bias was assessed using the Cochrane Risk-of-Bias Tool 2.0.

RESULTS

We included 42 trials in the meta-analysis and described 13 more studies narratively. Studies included 26 nondrug alternative treatments, 8 education interventions, 7 system modifications, 3 nonanalgesic drug treatments, 2 analgesic treatments, and 9 combined interventions. Pooled results at trial completion revealed that, except for nonanalgesic drugs and health system modification interventions, all interventions were at least moderately effective in reducing pain. Analgesic treatments (SMD -0.80; 95% CI -1.47 to -0.12; P = .02) showed the greatest treatment effect, followed by nondrug alternative treatments (SMD -0.70; 95% CI -0.95 to -0.45; P < .001), combined interventions (SMD -0.37; 95% CI -0.60 to -0.13; P = .002), and education interventions (SMD -0.31; 95% CI -0.48 to -0.15; P < .001).

CONCLUSIONS AND IMPLICATIONS

Our findings suggest that analgesic drugs and nondrug alternative pain management strategies are the most effective in reducing pain among care home residents. Clinicians should also consider implementing nondrug alternative therapies in care homes, rather than relying solely on analgesic drug options.

6G and Artificial Intelligence Technologies for Dementia Care: Literature Review and Practical Analysis

Background

The dementia epidemic is progressing fast. As the world’s older population keeps skyrocketing, the traditional incompetent, time-consuming, and laborious interventions are becoming increasingly insufficient to address dementia patients’ health care needs. This is particularly true amid COVID-19. Instead, efficient, cost-effective, and technology-based strategies, such as sixth-generation communication solutions (6G) and artificial intelligence (AI)-empowered health solutions, might be the key to successfully managing the dementia epidemic until a cure becomes available. However, while 6G and AI technologies hold great promise, no research has examined how 6G and AI applications can effectively and efficiently address dementia patients’ health care needs and improve their quality of life.

Objective

This study aims to investigate ways in which 6G and AI technologies could elevate dementia care to address this study gap.

Methods

A literature review was conducted in databases such as PubMed, Scopus, and PsycINFO. The search focused on three themes: dementia, 6G, and AI technologies. The initial search was conducted on April 25, 2021, complemented by relevant articles identified via a follow-up search on November 11, 2021, and Google Scholar alerts.

Results

The findings of the study were analyzed in terms of the interplay between people with dementia’s unique health challenges and the promising capabilities of health technologies, with in-depth and comprehensive analyses of advanced technology-based solutions that could address key dementia care needs, ranging from impairments in memory (eg, Egocentric Live 4D Perception), speech (eg, Project Relate), motor (eg, Avatar Robot Café), cognitive (eg, Affectiva), to social interactions (eg, social robots).

Conclusions

To live is to grow old. Yet dementia is neither a proper way to live nor a natural aging process. By identifying advanced health solutions powered by 6G and AI opportunities, our study sheds light on the imperative of leveraging the potential of advanced technologies to elevate dementia patients’ will to live, enrich their daily activities, and help them engage in societies across shapes and forms.

The Effectiveness of Assistive Technologies for Older Adults and the Influence of Frailty: Systematic Literature Review of Randomized Controlled Trials

Background

The use of assistive technologies (ATs) to support older people has been fueled by the demographic change and technological progress in many countries. These devices are designed to assist seniors, enable independent living at home or in residential facilities, and improve quality of life by addressing age-related difficulties.

Objective

We aimed to evaluate the effectiveness of ATs on relevant outcomes with a focus on frail older adults.

Methods

A systematic literature review of randomized controlled trials evaluating ATs was performed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The Ovid Medline, PsycINFO, SocIndex, CINAHL (Cumulative Index to Nursing and Allied Health Literature), CENTRAL (Cochrane Central Register of Controlled Trials), and IEEEXplore databases were searched from January 1, 2009, to March 15, 2019. ATs were included when aiming to support the domains autonomy, communication, or safety of older people with a mean age ≥65 years. Trials performed within a laboratory setting were excluded. Studies were retrospectively categorized according to the physical frailty status of participants.

Results

A total of 19 trials with a high level of heterogeneity were included in the analysis. Six device categories were identified: mobility, personal disease management, medication, mental support, hearing, and vision. Eight trials showed significant effectiveness in all or some of the primary outcome measures. Personal disease management devices seem to be the most effective, with four out of five studies showing significant improvement of disease-related outcomes. Frailty could only be assessed for seven trials. Studies including participants with significant or severe impairment showed no effectiveness.

Conclusions

Different ATs show some promising results in well-functioning but not in frail older adults, suggesting that the evaluated ATs might not (yet) be suitable for this subgroup. The uncertainty of the effectiveness of ATs and the lack of high-quality research for many promising supportive devices were confirmed in this systematic review. Large studies, also including frail older adults, and clear standards are needed in the future to guide professionals, older users, and their relatives.

Trial Registration

PROSPERO CRD42019130249; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=130249

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.

A tablet-based intervention for activating nursing home residents with dementia: results from a cluster-randomized controlled trial

OBJECTIVES

To investigate global and momentary effects of a tablet-based non-pharmacological intervention for nursing home residents living with dementia.

DESIGN

Cluster-randomized controlled trial.

SETTING

Ten nursing homes in Germany were randomly allocated to the tablet-based intervention (TBI, 5 units) or conventional activity sessions (CAS, 5 units).

PARTICIPANTS

N = 162 residents with dementia.

INTERVENTION

Participants received regular TBI (n = 80) with stimulating activities developed to engage people with dementia or CAS (n = 82) for 8 weeks.

MEASUREMENTS

Apathy Evaluation Scale (AES-I, primary outcome), Quality of Life in Alzheimer's Disease scale, QUALIDEM scale, Neuropsychiatric Inventory, Geriatric Depression Scale, and psychotropic medication (secondary outcomes). Momentary quality of life was assessed before and after each activity session. Participants and staff were blinded until the collection of baseline data was completed. Data were analyzed with linear mixed-effects models.

RESULTS

Levels of apathy decreased slightly in both groups (mean decrease in AES-I of .61 points, 95% CI -3.54, 2.33 for TBI and .36 points, 95% CI -3.27, 2.55 for CAS). Group difference in change of apathy was not statistically significant (β = .25; 95% CI 3.89, 4.38, p = .91). This corresponds to a standardized effect size (Cohen's d) of .02. A reduction of psychotropic medication was found for TBI compared to CAS. Further analyses revealed a post-intervention improvement in QUALIDEM scores across both groups and short-term improvements of momentary quality of life in the CAS group.

CONCLUSIONS

Our findings suggest that interventions involving tailored activities have a beneficial impact on global and momentary quality of life in nursing home residents with dementia. Although we found no clear advantage of TBI compared to CAS, tablet computers can support delivery of non-pharmacological interventions in nursing homes and facilitate regular assessments of fluctuating momentary states.

Social Robots for the Care of Persons with Dementia

Intelligent assistive robots can enhance the quality of life of people with dementia and their caregivers. They can increase the independence of older adults, reduce tensions between a person with dementia and their caregiver, and increase social engagement. This article provides a review of assistive robots designed for and evaluated by persons with dementia. Assistive robots that only increased mobility or brain-computer interfaces were excluded. Google Scholar, IEEE Digital Library, PubMed, and ACM Digital Library were searched. A final set of 53 articles covering research in 16 different countries are reviewed. Assistive robots are categorized into five different applications and evaluated for their effectiveness, as well as the robots’ social and emotional capabilities. Our findings show that robots used in the context of therapy or for increasing engagement received the most attention in the literature, whereas the robots that assist by providing health guidance or help with an activity of daily living received relatively limited attention. PARO was the most commonly used robot in dementia care studies. The effectiveness of each assistive robot and the outcome of the studies are discussed, and particularly, the social/emotional capabilities of each assistive robot are summarized. Gaps in the research literature are identified and we provide directions for future work.

Can the Paro be my Buddy? Meaningful experiences from the perspectives of older adults

This study aimed to explore meaningful experiences of older Taiwanese adults who had received a Paro (social robot) companion. Semi-structured qualitative interviews elicited the perspectives of 25 older adults living in a long-term care facility after they had interacted with an individual Paro companion for 8 weeks. Thematic analysis was used in this study as it allows for rich, detailed, and complex descriptions of qualitative data. Analysis identified four themes: Bridging my social bonds; Acting as a comfort Buddy; Relieving my emotional distress; and Encountering Paro with distancing. Although Paro's functioning has some limits, such as lacking speech, most participants expressed that the experience was positive. These findings revealed that the meaningful experiences expressed by participants at the end of the intervention with Paro might provide the value of companionship and improve interpersonal relationships for older adults in geriatric nursing.

Pet-Assisted Therapy for Delirium and Agitation in Hospitalized Patients with Neurocognitive Impairment: A Review of Literature

Delirium leading to agitation is a common issue in elderly people and patients with underlying neurocognitive impairment. Despite use of medications to treat agitation, polypharmacy is a major concern and might lead to multiple side effects in this patient population. Therefore, it is imperative to investigate non-pharmacological methods that can provide solutions to the problem. The objective of this review was to evaluate the impact of pet-assisted therapy on elderly patients, with a major focus on agitation and delirium. For the purposes of this study, a scoping review was performed using PubMed, Google Scholar, and ClinicalTrials. We reviewed literature from 1980 to 2021. Out of the 31 studies reviewed, 14 commented on agitation with respect to pet-assisted interventions. Of these, eight studies (57%) reported a statistically significant reduction in agitation and/or delirium in patients who were exposed to pet therapy. Pet-assisted therapy can improve the standardized care in hospital-based settings for patients with neurocognitive impairment because of better companionship, reduced agitation and mood disorders, and better stability of hemodynamic status. These interventions can pave the way for better patient and hospital satisfaction.

Effects on sleep from group activity with a robotic seal for nursing home residents with dementia: a cluster randomized controlled trial

OBJECTIVES

Sleep disturbances are common in people with dementia and increase with the severity of the disease. Sleep disturbances are complex and caused by several factors and are difficult to treat. There is a need for more robust and systematic studies dealing with sleep disturbances in older people with dementia. The aim of this study was to investigate effects from robot-assisted (Paro) group activity on sleep patterns in nursing home (NH) residents with dementia.

DESIGN

A cluster randomized controlled trial.

SETTING

Special care units in 10 NH in Norway.

PARTICIPANTS

A total of 60 participants over 65 years with dementia were recruited. Thirty participants were recruited to the intervention group and 30 participants to the control group.

INTERVENTION

Participants participated in group activity with Paro for 30 minutes twice a week over 12 weeks or in control group (treatment as usual).

MEASUREMENTS

Sleep-wake patterns were assessed objectively by 7 days of wrist actigraphy before and after the intervention. Data were collected between March 2013 and September 2014. Data were analyzed using mixed models.

RESULTS

Positive effects on change in sleep were found in the intervention group as compared with the control group. The intervention group increased percentage of sleep efficiency, increased the amount of total sleep time and reduced number of nocturnal awakenings. In addition, a significant effect was found in reduced awakenings after sleep onset.

CONCLUSIONS

Social stimulation through engaging group activity could contribute to improved sleep in people with dementia in NH. Increased sleep efficiency and total sleep time, in addition to fewer night awakenings, affect central indicators of good sleep quality across the life span. Improved sleep quality will also affect quality of life and comorbidities in vulnerable groups. We believe group activity with Paro to be an accessible and feasible non-pharmacological treatment for those who enjoy Paro.

Systematic review of the current psychosocial interventions for people with moderate to severe dementia

OBJECTIVE

Dementia, a global epidemic, currently affects 50 million individuals worldwide. There are currently limited effective treatments for moderate to severe dementia, and most treatments focus on reducing symptoms rather than improving positive factors. It is unclear if improvements are not possible due to disease severity. This review examines the efficacy of the current psychosocial interventions for people with moderate to severe dementia, focusing on improving cognition and quality of life (QoL) to evaluate what treatments are working and whether improvements are possible.

METHODS

A systematic search was conducted using six key databases to identify psychosocial interventions for people with moderate to severe dementia, measuring cognition or QoL in randomized controlled trials (RCTs), published between 2000 and 2020.

RESULTS

The search identified 4193 studies, and 74 articles were assessed for full-text review. Fourteen RCTs were included and appraised with the Physiotherapy Evidence Database Scale. The included RCTs were moderate in quality.

CONCLUSIONS

Aromatherapy and reminiscence therapy showed the strongest evidence in improving QoL. There was some evidence that aerobic exercise enhanced cognition, and a multicomponent study improved QoL. However, a quality assessment, using pre-specified criteria, indicated many methodological weaknesses. While we found improvements in cognition and QoL for moderate to severe dementia, results must be interpreted with caution. Future interventions with rigorous study designs are a pressing need and required before we can recommend specific interventions.

Benefits of Affordable Robotic Pet Ownership in Older Adults With Dementia

The current study investigated the impact of affordable robotic pet ownership on agitation, quality of life, and depression in older adults with dementia. Data are reported for five adults with dementia receiving day services at an all-inclusive care center for older adults (one male; mean age = 82.8 years). Data were collected three times to obtain baseline (Time 1 to Time 2) and post-intervention (Time 2 to Time 3) scores. Self-reported quality of life and depression symptoms improved post-intervention, but not during baseline. Caregiver-reported agitation did not change consistently across participants during baseline or post-intervention. Simple ownership of affordable robotic pets may be a feasible option to improve quality of life and affective experiences in individuals with dementia. Further work with larger samples should examine whether a combination of ownership and structured activity would produce changes more perceptible to caregivers. [Journal of Gerontological Nursing, 47(3), 18-22.].

Effectiveness of robot therapy in the management of behavioural and psychological symptoms for individuals with dementia: A systematic review and meta-analysis

Robot therapy presents a promising alternative in dementia care. However, its effectiveness has not been verified comprehensively. This systematic review and meta-analysis aim at evaluating the effectiveness of robot therapy in the management of behavioural and psychological symptoms for individuals with dementia. Studies assessing the effectiveness of robot therapy were identified using 10 academic research databases: CENTRAL, CINAHL, CNKI, The Cochrane Library, Embase, IEEE Xplore, MEDLINE, PubMed, Scopus, and ProQuest Dissertations & Theses. Additional references were identified from the reference lists of included studies and relevant reviews. Data extraction and risk of bias assessment were conducted independently by two review authors. Meta-analyses and subgroup analyses were performed and the heterogeneity of studies was examined. 18 published articles from 14 studies involving a total of 1256 participants were included. Participants with robot therapy had a significant decrease in agitation (SMD -0.38, 95% CI -0.66, -0.09; p = 0.01) and a significant increase in social interaction (SMD 0.49, 95% CI 0.01, 0.97; p = 0.04) while effects for depression, anxiety, cognitive status, and quality of life were not statistically significant. Results from this review show that robot therapy can effectively reduce agitation and increase social interactions for individuals with dementia. Future clinical practice should consider the potential of robot therapy as an option to be implemented into current dementia programmes. Further large-scale trials are required for the thorough investigation of different intervention formats and robot types, while considering potential confounding factors.

Approaches to assessing the impact of robotics in geriatric mental health care: a scoping review

The goals of this scoping literature review are to (1) aggregate the current research involving socially assistive robots in the setting of geriatric psychiatry and (2) examine the outcome measures used in these studies and determine where the gaps and needs are. In light of the global COVID-19 pandemic, the geriatric psychiatric population in particular is vulnerable to both the physical and mental toll COVID-19 may cause. Recently, socially assistive robots have gained attention for their ability to aid in the care of the geriatric psychiatry population and are being explored as a realistic way to deliver certain elements of psychiatric care that have the potential to be safe even in the setting of COVID-19. The results of this review indicate that robots are in the early stages of clinical applicability, they display usability for a range of psychiatric indications, and their impact on clinical care is notable. We project that in the next few years, robotic applications will be tailored to address clinical outcomes with a greater degree of precision and efficacy.

How PARO can help older people in elderly care facilities: A systematic review of RCT

Purpose

This review aims to systematically evaluate the effects of Paro on older adults and provide a stronger basis for the rational application of Paro in aged care facilities.

Methods

Articles published between January 2003 and January 2020 via five databases (PubMed, Web of Science, EMBASE, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Chinese database SinoMed) were searched. The Cochrane collaboration tool for randomized controlled trials was used to assess the quality of all included studies.

Results

Nine articles were included in this systematic review. All articles were summarized according to three themes: quality of life, and biopsychological conditions, and drug usage.

Conclusions

The review demonstrated that interaction with Paro can be beneficial for improving quality of life (QOL), biopsychological conditions, and reducing psychotropic and pain medical usage. Since the differences of the study design and low to moderate quality of these studies, however, we should be cautious to make positive comments on the role of Paro.

Implications of nursing practice

The implications of Paro in aged care facilities have positive effects on nursing outcomes. This review helps caregivers understand the advantages and disadvantages of care robots, and promotes the integration of intelligent technology and manual services in nursing practice.

Effectiveness of Companion Robot Care for Dementia: A Systematic Review and Meta-Analysis

Background and Objectives

Dementia and central nervous system degeneration are common problems in aging societies with regard to the number of people affected and total medical expenses. Socially assistive robotic technology has gradually matured; currently, most scholars believe it can be used as companions in long-term care facilities and to work as caregivers alongside staff to improve the social interaction and mental state of older adults and patients with dementia. Therefore, this study measured the effect of the duration of exposure to socially assistive robots in older adults with dementia.

Research Design and Methods

Seven databases were searched up to February 2019 through the consultation of appropriate Internet sites and the use of criteria lists recommended by relevant experts. Randomized controlled trials comparing socially assistive robot use with a control group in older adults with dementia and using at least one of the primary outcomes of agitation, depression, and quality of life were included.

Results

Thirteen randomized controlled trials were identified from 873 articles, 7 of which were included in the meta-analysis. The pooled effect estimate from 3 trials with 214 participants revealed that the pet-type robot improved patients’ agitation level, with a standardized mean difference of −0.37 (95% CI: −0.64 to −0.10, p < .01) and no heterogeneity (I² = 0%). The results also revealed that length of each session and pet-type robot exposure time per week were associated with reduced depression levels (β = −0.06, Q = 21.213, df = 1, p < .001 and β = −0.019, Q = 7.532, df = 1, p < .01, respectively). However, the results for quality of life were nonsignificant.

Discussion and Implications

Pet-type robot systems seem to be a potential activity in long-term care facilities for dementia care. Further research is warranted to establish a comprehensive intervention plan related to the use of pet-type robots.

Use of technology and social media in dementia care: Current and future directions

As the population across the globe continues to dramatically increase, the prevalence of cognitive impairment and dementia will inevitably increase as well, placing increasing burden on families and health care systems. Technological advancements over the past decade provide potential benefit in not only relieving caregiver burden of caring for a loved one with dementia, but also enables individuals with dementia to age in place. Technological devices have served to improve functioning, tracking and mobility. Similarly, smartphones, tablets and the ubiquitous world wide web have facilitated the dissemination of health information to previously hard to reach populations largely through use of various social media platforms. In this review, we discuss the current and future uses of technology via devices and social media to promote healthy aging in individuals with dementia, and also limitations and challenges to consider in the future.

The effects of Huperzine A on dementia and mild cognitive impairment: An overview of systematic reviews

Cognitive impairments are a part of the neurocognitive disorders which deteriorate the normal cognitive function. An overview of systematic reviews (SRs) was conducted to summarize the findings of SRs and meta-analyses on the effectiveness of Huperzine A (Hup A) in dementia and mild cognitive impairment (MCI). A literature search was conducted since inception to December 2020. We used the AMSTAR tool to assess the methodological quality of SRs. The quality of evidence of primary studies was evaluated according to the SRs authors' assessment. Six SRs met our inclusion criteria. The results showed that Hup A has beneficial effects on cognitive function and Activities of Daily Living (ADLs) in Alzheimer's disease, but in vascular dementia and MCI, there was little or no evidence to conclusion. There is insufficient evidence of the effectiveness of Hup A on the quality of life and global clinical assessment. None of the SRs reported any serious side effects. Despite the promising effects of Hup A on cognition and ADLs, there is insufficient evidence to support the effectiveness of Hup A in cognitive impairments due to the high heterogeneity of SRs and the low quality of primary studies. High-quality, large multicenter RCTs with long-term follow-up in different settings are warranted.

Robotic Pet Use Among Community-Dwelling Older Adults

Objective

The primary purpose of this study was to explore the efficacy of robotic pets in alleviating loneliness for older adults.

Method

Self-reported lonely individuals with AARP Medicare Supplement plans insured by UnitedHealthcare who participated in a program with a robotic pet (n = 20) were recruited to participate in semi-structured interviews. Participants were asked to provide feedback about their experiences interacting with a robotic pet, their perceptions about the potential impact on loneliness, and recommendations for improving the program. Interviews were audio-recorded and transcribed verbatim. Participants’ responses were analyzed using qualitative content analysis. Constant comparison and consensus-gaining processes were used to develop categories that later formed representative themes.

Results

Seven themes emerged from analysis: Openness to Adoption of Robotic Pet, Reactions to Pet and its Attributes, Integration of Pet in Daily Life, Strategic Utilization and Forging New Connections, Deriving Comfort and Camaraderie, Advice for Future Users, and Recommendations for Enhancing Ownership Experience. Participants living alone, with fewer social connections and less active lifestyles, derived the most benefit from interacting with their pets. Common responses to pets included cuddling, petting, grooming, and sleeping with them. Some shared or loaned their pets, while others refused to loan their pets to interested peers. Most reported showing their pets to others, which helped some facilitate communication and social connections.

Conclusion

Robotic pets may be an effective solution for alleviating loneliness in older adults, especially among those who live alone, have fewer social connections, and live less active lifestyles.

Ambient assisted living technology-mediated interventions for older people and their informal carers in the context of healthy ageing: A scoping review

BACKGROUND AND AIMS

There is a growing demand for health and social care services to provide technology-mediated interventions that promote the health and well-being of older people with health or care needs and of their informal carers. The objectives of this study were to scope and review the nature and extent of prior intervention studies involving ambient assisted living technology-mediated interventions for older people and their informal carers, and how and in what ways (if any) the goals and aims of these interventions reflected the domains of the World Health Organization framework for healthy ageing.

METHODS

We conducted a scoping review. Data were collected between June and October 2018 with an updated search in October 2020. A total of 85 articles were eligible for inclusion.

RESULTS

Nine categories described the aims and content of the included studies. The healthy ageing domain "Ability to meet basic needs" was mirrored in four categories, whereas "Ability to contribute to society" was not addressed at all.

CONCLUSION

The ways in which domains of healthy ageing are mirrored suggest that there is an emphasis on individual factors and individual responsibility, and a lack of attention given to broader, environmental factors affecting healthy ageing. Only a few of the studies used a dyadic approach when assessing health outcomes concerning older people and their informal carers.

Social Robot Interventions for People with Dementia: A Systematic Review on Effects and Quality of Reporting

Background:

Using non-pharmacological interventions is a current approach in dementia care to manage responsive behaviors, to maintain functional capacity, and to reduce emotional stress. Novel technologies such as social robot interventions might be useful to engage people with dementia in activities and interactions as well as to improve their cognitive, emotional, and physical status.

Objective:

Assessing the effects and the quality of reporting of social robot interventions for people with dementia.

Methods:

In our systematic review, we included quasi-experimental and experimental studies published in English, French, or German, irrespective of publication year. Searching CINAHL, Cochrane Library, MEDLINE, PsycINFO, and Web of Science Core Collection was supplemented by citation tracking and free web searching. To assess the methodological quality of included studies, we used tools provided by the Joanna Briggs Institute. To assess the reporting of the interventions, we applied CReDECI 2 and TIDieR.

Results:

We identified sixteen studies published between 2012 and 2018, including two to 415 participants with mostly non-defined type of dementia. Eight studies had an experimental design. The predominant robot types were pet robots (i.e., PARO). Most studies addressed behavioral, emotion-related, and functional outcomes with beneficial, non-beneficial, and mixed results. Predominantly, cognitive outcomes were not improved. Overall, studies were of moderate methodological quality.

Conclusion:

Heterogeneous populations, intervention characteristics, and measured outcomes make it difficult to generalize the results with regard to clinical practice. The impact of social robot interventions on behavioral, emotion-related, and functional outcomes should therefore be assessed considering the severity of dementia and intervention characteristics.

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

Background

The field of digital technologies being developed or applied to support nursing care is extensive. The aim of this scoping review is to provide an overview on technologies for which results on positive or negative effects on persons in need of care, caregivers or care institutions are available and to appraise the reliability of these results.

Methods

A scoping review design has been used to identify studies focussing on the effectiveness of digital technologies in nursing care for persons in need of care, caregivers or care institutions. The screening process included 19,510 scientific publications from 9 databases.

Results

A total of 123 single studies and 31 reviews were subjected to the analysis. The included technologies comprise nursing and health information technologies, such as assistive devices, information and communication technologies, sensors and robotics. The results show that there are many studies that demonstrate positive effects, but the level of evidence is mostly low and study sizes are often small. Hardly any technology has been researched intensively enough to produce conclusive results. Studies on a high level of evidence (RCTs) lack for most technological areas. Heterogeneous results in some areas indicate that effects may depend strongly on the mode and specific context into which the technologies are introduced.

Conclusion

Due to the limited evidence on effectiveness of digital technologies in nursing care, it is not surprising that care institutions are reluctant to put innovative technologies into practice. The scoping review indicates technology areas that should be subject to future research with higher quality studies. Research on outpatient, informal and cross-sectoral care should be intensified to further exploit the potential of digital technologies with a view to improving independence of care-recipients and unburdening formal and informal carers.

The Perceptions of People with Dementia and Key Stakeholders Regarding the Use and Impact of the Social Robot MARIO

People with dementia often experience loneliness and social isolation. This can result in increased cognitive decline which, in turn, has a negative impact on quality of life. This paper explores the use of the social robot, MARIO, with older people living with dementia as a way of addressing these issues. A descriptive qualitative study was conducted to explore the perceptions and experiences of the use and impact of MARIO. The research took place in the UK, Italy and Ireland. Semi-structured interviews were held in each location with people with dementia (n = 38), relatives/carers (n = 28), formal carers (n = 28) and managers (n = 13). The data was analyzed using qualitative content analysis. The findings revealed that despite challenges in relation to voice recognition and the practicalities of conducting research involving robots in real-life settings, most participants were positive about MARIO. Through the robot's user-led design and personalized applications, MARIO provided a point of interest, social activities, and cognitive engagement increased. However, some formal carers and managers voiced concern that robots might replace care staff.

The MAKS-s study: multicomponent non-pharmacological intervention for people with severe dementia in inpatient care - study protocol of a randomised controlled trial

BACKGROUND

Nursing homes accommodate a large number of people with severe dementia. More than 80% of residents with dementia suffer from behavioural and psychological symptoms, that can have consequences on the perceived burden of the formal caregivers. Internationally, the number of studies on non-pharmacological interventions for people with severe dementia is very small. One way to reduce these symptoms is to meet the needs of people with severe dementia. The non-pharmacological group intervention MAKS-s, which we will investigate in this study, is intended to reduce the behavioural and psychological symptoms and to improve the quality of life of such people. Additionally, we will investigate the effects on the burden carried by formal caregivers.

METHODS

With the present study, we will investigate the effectiveness of a multicomponent non-pharmacological intervention for people with severe dementia living in nursing homes (primary target group). A power analysis indicated that 144 dementia participants should initially be included. In addition, a secondary target group (nursing home staff) will be examined with respect to their dementia-related stress experiences. The study will be conducted as a cluster randomised controlled trail in Germany with a 6-month intervention phase. The nursing homes in the waitlist control group will provide "care as usual." The primary endpoints of the study will be the behavioural and psychological symptoms of dementia and the quality of life of people with severe dementia. The total duration of the study will be 18 months. Data will be collected by using observer rating scales.

DISCUSSION

The project has some outstanding quality features. The external validity is high, because it is situated in a naturalistic setting in nursing homes and is being carried out with available nursing employees. Due to this fact, a permanent implementation also seems to be possible. Since the participating nursing homes are disseminated across several German federal states and rural and urban regions, the results should be transferable to the entire population.

TRIAL REGISTRATION

ISRCTN15722923 (Registration date: 07 August 2019).

The use of technology to promote meaningful engagement for adults with dementia in residential aged care: a scoping review

INTRODUCTION

A considerable number of adults with dementia live in residential aged care facilities, where loneliness and boredom are common. Computer-based and electronic technologies have advanced significantly and there is potential for such technologies to improve engagement of residents with dementia. However, the nature and extent of the evidence supporting the use of these technologies is unclear.

OBJECTIVES

The aim of this study was to investigate the use of computer-based and electronic technologies for enhancing meaningful engagement of adults with dementia living in residential aged care.

METHODS

A scoping review was conducted. Nine databases were searched from 2008-2018. Included studies were summarized, compared and synthesized according to technology type.

RESULTS

Twenty studies were included. Most studies were conducted in Australia (n = 7) and Europe (n = 8). Study designs were quantitative (n = 12), mixed methods (n = 5), descriptive (n = 2) or qualitative (n = 1). Studies aimed to investigate interaction, engagement, behaviors or quality of life (n = 14), to examine the feasibility of technologies (n = 3), or had both aims (n = 3). Technology type fell into two categories: robotics (n = 14) and multi-media computer programs (n = 6). Across both technology types, there were conflicting results in relation to positive impact on meaningful engagement. Studies only investigated the doing, belonging and connecting aspects of meaningful engagement. Additionally, there was a lack of consistency across studies in how activity, interaction and engagement were measured.

CONCLUSION

The role and potential of new technologies to enhance meaningful engagement for those with dementia should focus on creating human-to-human interactions while taking individual preference and person-centered principles into account.