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

Older adults living with dementia experience progressive decline, prompting reliance on others for spiritual care and support. Despite a growing interest in studying persons living with dementia (PLwDs), empirical evidence on the spiritual needs of PLwDs has not been synthesized. Using the Whittemore and Knafl method, this integrative review examined the literature from 2000 to 2022 on the spiritual care needs of PLwDs. We sought to identify characteristics of the spiritual needs of PLwDs and ways to address them. The ATLA Religion, CINAHL, PsycINFO, PubMed, and Socindex databases were used to search the literature, and 12 peer-reviewed articles met the inclusion criteria. Spiritual care needs varied across studies. Overall, findings support the importance of identifying PLwDs’ religious and spiritual backgrounds to inform person-centered care. Spiritual needs were identified as verbal and non-verbal expressions related to past meaning and religious and spiritual background and were not consistently addressed in care. Providers reported observing spiritual distress in the mild stage prompting the need for spiritual care. There is a great need for dementia-specific spiritual assessment tools and spiritual care interventions to support spiritual well-being in dementia care. Spiritual care involves facilitating religious rituals and providing spiritual group therapy and religious and spiritual activities.

Background: Pain is often underreported and under-treated in older adults with dementia. The role of family caregivers (FCGs) in managing pain for their loved ones with dementia living in community has been significantly burdensome. Surprisingly, research has not delved into the experiences of FCGs’ concerning pain management in this context. Methods: A qualitative descriptive study was conducted to gain a deep understanding of FCGs’ experiences in managing pain for their loved ones. Family caregivers participated in semi-structured face-to-face or telephone interviews. Inclusion criterion included being an adult providing care to community-dwelling older adults with dementia. Recruitment stopped upon reaching thematic saturation. Basic demographic characteristics was also collected. Constant comparison analytic method was employed. Results: The study included 25 FCGs in central Virginia, spanning ages from 29 to 95. Participants were predominantly white, female, married, and had a minimum high school education. Most of them were adult children (52%) or the spouses (28%) of the care recipients. Four thematic categories emerged around exploring FCGs’ pain management experiences: (1) Values; (2) Barriers; (3) Support; and (4) Adaptation. Each theme included sub-themes. Conclusion: Family caregivers follow their values to make decisions in pain management. Barriers existed for effective pain management. Adaptation and support from professional or formal caregivers greatly improved FCGs’ perception of their competence in pain management. The finding underscores the need for further research and the development of interventions aimed at enhancing FCGs’ perception of self-efficacy in this crucial aspect of caregiving.

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