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BACKGROUND: Approximately 50 million people worldwide are living with dementia. Social robots have been developed and tested to determine whether they improve the quality of life for persons with dementia. A new mobile social robot called LOVOT has artificial intelligence and sensor technologies built in. LOVOT, which is manufactured in Japan, has not yet been tested for use by persons with dementia. OBJECTIVE: This study aimed to explore how the social robot LOVOT interacts with persons with dementia and how health care professionals experience working with LOVOT in their interaction with persons with dementia. METHODS: The study was carried out at 3 nursing homes in Denmark, all with specialized units for persons with dementia. The interaction between the persons with dementia and LOVOT was tested in both individual sessions for 4 weeks and group sessions for 12 weeks. A total of 42 persons were included in the study, of which 12 were allocated to the individual sessions. A triangulation of data collection techniques was used: the World Health Organization-5 questionnaire, face scale, participant observation, and semistructured focus group interviews with health care professionals (n=3). RESULTS: There were no clinically significant changes in the well-being of the persons with dementia followed in the individual or group interaction sessions over time. The results from the face scale showed that in both the individual and group sessions, persons with dementia tended to express more positive facial expressions after the sessions. Findings on how persons with dementia experienced their interaction with LOVOT can be stated in terms of the following themes: LOVOT opens up communication and interaction; provides entertainment; creates a breathing space; is accepted and creates joy; induces feelings of care; can create an overstimulation of feelings; is not accepted; is perceived as an animal; is perceived as being nondemanding; and prevents touch deprivation. Findings regarding the health care professionals' experiences using LOVOT were as follows: the artificial behavior seems natural; and it is a communication tool that can stimulate, create feelings of security, and open up communication. Our findings indicate that the social robot is a tool that can be used in interactions with persons with dementia. CONCLUSIONS: The LOVOT robot is the next generation of social robots with advanced artificial intelligence. The vast majority of persons with dementia accepted the social robot LOVOT. LOVOT had positive effects, opened up communication, and facilitated interpersonal interaction. Although LOVOT did not create noticeable effects on social well-being, it gave individual persons a respite from everyday life. Some residents were overstimulated by emotions after interacting with LOVOT. Health care professionals accepted the social robot and view LOVOT as a new tool in the work with persons with dementia.

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BACKGROUND: Living with a mental disorder has a significant impact on everyday life. In 2018, one out of every six adults, equivalent to 17.3% of the adult population of the European Union, had symptoms of mental disorders. This paper focus on social rehabilitation of patients with mental illness who have been discharged from hospital and who use video communication technologies in their rehabilitation in collaboration with their social worker. The aim of this study has been to explore the experiences of persons with mental illnesses who participated in a long-term video-based tele-social rehabilitation program, the Video Assist. METHODS: The overall research strategy is the case study method. Data collection techniques are based on triangulation. Document analysis has been performed. Participant observation in homes of persons with mental using video with social workers (168 hours). Semi structured qualitative interviews with persons with mental illness (n=13) has been conducted lasting between 30 and 60 minutes. Data were analyzed using NVivo 10.0. RESULTS: Experiences of persons with mental illness participating in the tele-social rehabilitation program are in themes: user friendly video technology, video created a new means of communication between citizen and social worker, feeling of surveillance by having the technology in the home, development of new coping strategies in everyday life and need for psychosocial support and training via the video technology. CONCLUSIONS: Persons with mental illness who are in a recovery process find that participating in a tele-social-rehabilitation program gives them a sense of mobility, security, surveillance but the ability to develop new coping strategies in their everyday lives. Future research is needed on long-term effects of tele-social rehabilitation for persons with mental illness.

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BACKGROUND: This paper focuses on a Danish social tele-rehabilitation project, which uses video technologies to support mentally ill citizens in their recovery process in their homes. The aim of the study is to explore how social workers experience using video communication as part of a tele-social-rehabilitation program aimed at citizens discharged from a psychiatric hospital and lives in their own home with mental disorders recovering from a mental illness. METHODS: The research strategy in this study is the case study method. Data collection techniques for the case study were based on triangulation of several data sources, such as analysis of relevant documents, participant observation and qualitative interviews with clients and with social workers assisting citizens in their recovery process. RESULTS: The social workers stated that video technology gave them the opportunity to make changes in their working practices with the citizens. They also felt they were better able to meet the citizens' need to improve their everyday lives. The social workers found that video technology was less intrusive than a physical visit to the citizen's home. The technology helps to promote the client's recovery process. CONCLUSIONS: The social workers who used video technology in a tele-social-rehabilitation program experienced a community of practice, changes in their work routine and changes in the way they carried out social rehabilitation for clients in their recovery following discharge from mental hospital.

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As telehealth plays an even greater role in global health care delivery, it will be increasingly important to develop a strong evidence base of successful, innovative telehealth solutions that can lead to scalable and sustainable telehealth programs. This paper has two aims: (1) to describe the challenges of promoting telehealth implementation to advance adoption and (2) to present a global research agenda for personalized telehealth within chronic disease management. Using evidence from the United States and the European Union, this paper provides a global overview of the current state of telehealth services and benefits, presents fundamental principles that must be addressed to advance the status quo, and provides a framework for current and future research initiatives within telehealth for personalized care, treatment, and prevention. A broad, multinational research agenda can provide a uniform framework for identifying and rapidly replicating best practices, while concurrently fostering global collaboration in the development and rigorous testing of new and emerging telehealth technologies. In this paper, the members of the Transatlantic Telehealth Research Network offer a 12-point research agenda for future telehealth applications within chronic disease management.

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BACKGROUND: The intelligent bed is a medical bed with several home healthcare functions. It includes, among others, an "out of bed" detector, a moisture detector, and a catheter bag detector. The design purpose of the intelligent bed is to assist patients in their daily living, facilitate the work of clinical staff, and improves the quality of care. The aim of this sub-study of the iCare project was to explore how health professionals (HPs) experience and use the intelligent bed in patients' homes. METHODS: The overall research design is inspired by case study methodology. A triangulation of data collection techniques has been used: log book, documentation study, participant observations (n = 45 hr), and qualitative interviews (n = 23). The data have been analyzed by means of Nvivo 9.0. FINDINGS: We identified several themes: HP transformation from passive technology recipient to innovator; individualized care; work flow redesign; and sensor technology intruding on patient privacy. CONCLUSIONS: It is suggested that functions of the intelligent bed can result in more individualized care, workflow redesign, and time savings for the health professionals in caring for elderly patients. However, the technology intruded on patients' privacy.

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