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Sleep is a crucial aspect of geriatric assessment for hospitalized older adults, and implementing AI-driven technology for sleep monitoring can significantly enhance the rehabilitation process. Sleepsense, an AI-driven sleep-tracking device, provides real-time data and insights, enabling healthcare professionals to tailor interventions and improve sleep quality. This study explores the perspectives of an interdisciplinary hospital team on implementing Sleepsense in geriatric hospital care. Using the interpretive description approach, we conducted focus groups with physicians, nurses, care aides, and an activity worker. The Consolidated Framework for Implementation Research (CFIR) informed our thematic analysis to identify barriers and facilitators to implementation. Among 27 healthcare staff, predominantly female (88.89%) and Asian (74.1%) and mostly aged 30–50 years, themes emerged that Sleepsense is perceived as a timesaving and data-driven tool that enhances patient monitoring and assessment. However, barriers such as resistance to change and concerns about trusting the device for patient comfort and safety were noted, while facilitators included training and staff engagement. The CFIR framework proved useful for analyzing implementation barriers and facilitators, suggesting future research should prioritize effective strategies for interdisciplinary team support to enhance innovation adoption and patient outcomes in rehabilitation settings.

IntroductionAssistive and service robots have been increasingly designed and deployed in long-term care (LTC) but little evidence guides their use. This scoping review synthesises existing studies on facilitators and barriers to using artificial intelligence (AI)-enabled robots with older adults in LTC settings.Methods and analysisWe will follow the Joanna Briggs Institute’s scoping review methodology for the study, to be conducted from November 2023 to April 2024. We will focus on literature exploring the use of AI-enabled robots with older adults in an LTC setting from healthcare providers’ perspectives. Three steps will be taken: (a) keywords and index terms will be identified from MEDLINE and CINAHL databases; (b) comprehensive searches will be conducted in MEDLINE, CINAHL, Embase, Web of Science, Scopus, AgeLine, PsycINFO, ProQuest and Google, using keywords and index terms identified in step (a); and (c) examining reference lists of the included studies and selecting items in the reference lists which meet the inclusion criteria. Searches for grey literature will also be conducted via Google. The results will be presented in a charting table and a narrative summary will be presented in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist.Ethics and disseminationEthics approval and participation consent are not required because the data are publicly available. The results will be presented via a journal article and conference presentations.

IntroductionThe rapid growth of the ageing population underscores the critical need for dementia care training among care providers. Innovative virtual reality (VR) technology has created opportunities to improve dementia care training. This scoping review will specifically focus on the barriers, facilitators and impacts of implementing fully immersive VR training for dementia care among staff in long-term care (LTC) settings.Methods and analysisWe will follow the Joanna Briggs Institute’s scoping review methodology to ensure scientific rigour. We will collect literature of all languages with abstracts in English from CINAHL, Medline, Scopus, Embase, Web of Science and ProQuest database until 31 December 2023. Grey literature from Google Scholar and AgeWell websites will be included. Inclusion criteria encompass papers involving paid staff (Population), fully immersive VR training on dementia care (Concept) and LTC settings (Context). Literature referring only to non-paid caregivers, non-fully immersive VR or other chronic diseases will be excluded. Literature screening, data extraction and analysis will be conducted by two reviewers separately. We will present a narrative summary with a charting table on the main findings.Ethics and disseminationThis work does not require ethics approval, given the public data availability for this scoping review. Through a comprehensive overview of the current evidence regarding impacts, barriers and facilitators on this topic, potential insights and practical recommendations will be generated to support the implementation of VR training to enhance staff competence in LTC settings. The findings will be presented in a journal article and shared with practitioners on the frontline.

The development of learning health systems (LHSs) has often focused on optimally leveraging data. More attention should be paid to patient and public involvement or community engagement in forming learning communities that work together to build LHS. This scoping review aims to identify facilitators of and barriers to involving patients and the public in building LHSs in community health services settings. We will use the Joanna Briggs Institute's scoping review methodology. We will review literature in English published from 1 January 2007 to 31 December 2022. The databases that will be searched are MEDLINE, CINAHL, Embase, Web of Science, Scopus, AgeLine, PsycINFO and Web of Science. Key inclusion and exclusion criteria include the following: we will only consider a learning community in a community health services context (eg, home care, long-term care, primary care); we will exclude literature on acute care settings; and we will consider any research designs apart from big data analytics. We will review all sources, including university student theses and dissertations. The review will proceed in three steps: (1) we will identify keywords and index terms from the MEDLINE and CINAHL databases; (2) using the keywords and index terms identified in step (1), we will search other databases and (3) we will handsearch the reference lists of the selected literature and will search for grey literature using Google. Two research assistants will screen the titles and abstracts separately, with reference to the inclusion criteria. Two researchers will then assess the full text of selected studies, also in reference to the inclusion criteria. We will present the findings in a charting table and provide a narrative summary. This work does not require ethics approval because the data for this scoping review are publicly available. The findings will be presented in a journal article and at conferences.

Although there is a growing literature on the use of telepresence robots in institutional dementia care settings, limited research focused on the perspectives of frontline staff members who deliver dementia care. Our objective was to understand staff perspectives on using telepresence robots to support residents with dementia and their families. Guided by the Consolidated Framework for Implementation Research, we conducted four focus groups and 11 semi-structured interviews across four long-term care (LTC) homes and one hospital in Canada. We included 22 interdisciplinary staff members (e.g., registered nurses, social workers, occupational therapists, recreational therapists) to understand their experiences with telepresence robots. Thematic analysis identified three key themes: 1) Staff Training and Support; 2) Robot Features; 3) Environmental dynamics for Implementation. Our results underscore the imperative of structural support at micro-, meso- and macro-levels for staff in dementia care settings to effectively implement technology. This study contributes to future research and practice by elucidating factors facilitating staff involvement in technology research, integrating staff voices into technology implementation planning, and devising strategies to provide structural support to staff, care teams, and care homes.

Long-term care (LTC) homes face the challenges of increasing care needs of residents and a shortage of health care providers. Literature suggests that artificial intelligence (AI)-enabled robots may solve such challenges and support person-centered care. There is a dearth of literature exploring the perspectives of health care providers, which are crucial to implementing AI-enabled robots. This scoping review aims to explore this scant body of literature to answer two questions: (1) what barriers do health care providers perceive in adopting AI-enabled robots in LTC homes? (2) What strategies can be taken to overcome these barriers to the adoption of AI-enabled robots in LTC homes? We are a team consisting of 3 researchers, 2 health care providers, 2 research trainees, and 1 older adult partner with diverse disciplines in nursing, social work, engineering, and medicine. Referring to the Joanna Briggs Institute methodology, our team searched databases (CINAHL, MEDLINE, PsycINFO, Web of Science, ProQuest, and Google Scholar) for peer-reviewed and gray literature, screened the literature, and extracted the data. We analyzed the data as a team. We compared our findings with the Person-Centered Practice Framework and Consolidated Framework for Implementation Research to further our understanding of the findings. This review includes 33 articles that met the inclusion criteria. We identified three barriers to AI-enabled robot adoption: (1) perceived technical complexity and limitation; (2) negative impact, doubted usefulness, and ethical concerns; and (3) resource limitations. Strategies to mitigate these barriers were also explored: (1) accommodate the various needs of residents and health care providers, (2) increase the understanding of the benefits of using robots, (3) review and overcome the safety issues, and (4) boost interest in the use of robots and provide training. Previous literature suggested using AI-enabled robots to resolve the challenges of increasing care needs and staff shortages in LTC. Yet, our findings show that health care providers might not use robots because of different considerations. The implication is that the voices of health care providers need to be included in using robots. RR2-doi:10.1136/bmjopen-2023-075278.

IntroductionThe objective of the scoping review is to understand what has been reported in the literature regarding facilitators and barriers to using smart television (smart TV) among older adults in care settings.Methods and analysisThe scoping review will adopt the Joanna Briggs Institute scoping review methodology. It will occur between March and August 2022. It will consider literature on using smart TV with older adults in care settings. A three-step search strategy will be applied: (1) to identify keywords and index terms from MEDLINE and CINAHL; (2) to do a search using identified keywords and index terms across chosen databases (MEDLINE, CINAHL, Embase, Web of Science, Scopus, AgeLine, PsycINFO, Web of Science, ProQuest and Google) and (3) to hand search the reference lists of all selected literature for additional literature. Further, we will search using Google for grey literature. Two research assistants will independently screen the titles and abstracts by referring to the inclusion criteria. After that, two researchers will independently assess the full text of selected literature by referring to the inclusion criteria. We will present the data in a table with narratives that answer the questions of the scoping review.Ethics and disseminationThe scoping review does not require ethics approval because it collects data from the publicly available literature. The findings will offer insights to inform the use of smart TV among older adults in care settings for education, practice, policy and future research. The scoping review results will also be disseminated through conference presentations and an open-access publication in a peer-reviewed journal.

IntroductionSocial robots including telepresence robots have emerged as potential support in dementia care. However, the effectiveness of these robots hinges significantly on their design and utility. These elements are often best understood by their end-users. Codesign involves collaborating directly with the end-users of a product during its development process. Engaging people with dementia in the design of social robots ensures that the products cater to their unique requirements, preferences, challenges, and needs. The objective of this scoping review is to understand the facilitators, barriers, and strategies in codesigning social robots with older adults with dementia.Methods and analysisThe scoping review will follow the Joanna Briggs Institute scoping review methodology and will be conducted from November 2023 to April 2024. The steps of search strategy will involve identifying keywords and index terms from CINAHL and PubMed, completing search using identified keywords and index terms across selected databases (Medline, CINAHL, PubMed, AgeLine, Web of Science, PsycINFO, Scopus, IEEE, and Google Scholar), and hand-searching the reference lists from chosen literature for additional literature. The grey literature will be searched using Google. Three research assistants will screen the titles and abstracts independently by referring to the inclusion criteria. Three researchers will independently assess the full text of literature following to the inclusion criteria. The data will be presented in a table with narratives that answers the questions of the scoping review.Ethics and disseminationThis scoping review does not require ethics approval because it collects data from publicly available resources. The findings will offer insights to inform future research and development of robots through collaboration with older people with dementia. In addition, the scoping review results will be disseminated through conference presentations and an open-access publication in a peer-reviewed journal.

Background AI-enabled social robots present the potential to resolve the loneliness and social isolation of older adults in long-term care (LTC). There is limited research on how older adults perceive and make sense of these robots and how human-robot companionship is formed. This study investigated older adults’ experiences using LOVOT, a social robot. Methods Using an ethnographic study design, we introduced LOVOT robots to a Canadian LTC home for four weekly interaction sessions. Thirty-six residents, seven family members and two healthcare staff participated. Data collection involved observational field notes and conversational interviews. The analysis was guided by ikigai, a Japanese well-being concept. Findings Reflexive thematic analysis identified four key themes. 1) Joy: The robot offers joy and excitement through interactions. 2) Acceptance: For older adults with mobility or cognitive impairments, LOVOT gives consistent positive responses, offering a sense of unconditional acceptance. 3) Creativity: The robot’s non-verbal communication allows older adults to grow creative imagination, encouraging personal expression and expanding interaction possibilities. 4) “Not for me”: Not all participants like the LOVOT robot. Conclusion AI-enabled social robots show potential in supporting the psychosocial needs of older adults, which have broader implications for LTC practices and future research directions. Future research should further explore the creative utility of social robots among LTC residents.

Aim: This scoping review aims to identify the facilitators and barriers to the implementation of VR technology in the aged-care setting. Background: Virtual reality (VR) offers the potential to reduce social isolation and loneliness through increased social engagement in aged-care settings. Methods and Analysis: This scoping review followed the Joanna Briggs Institute scoping review methodology and took place between March and August 2022. The review included a three-step search strategy: (1) identifying keywords from CINHAL, Embase, Medline, PsycInfo, Scopus, and Web of Science (2) conducting a second search using all identified keywords and index terms across selected databases; and (3) searching the reference lists of all included articles and reports for additional studies. Results: The final review included 22 articles. The analysis identified factors affecting the VR technology implementation in aged care settings to reduce isolation and loneliness: (a) key facilitators are local champions and staff training. (b) barriers include technological adaptability, video quality, and organizational culture. Conclusion: Existing evidence points to VR as a promising intervention to decrease loneliness and feelings of isolation and improve social engagement in older people living in aged-care settings.