John Wiley & Sons

Aim: This study aimed to develop the empowerment scale for family caregivers of community-dwelling people with dementia (PWD) in Japan (EFCD) and to validate the scale. Methods: The questionnaires were mailed to 820 family caregivers of PWD. The first version of the EFCD based on interviews with family caregivers and elderly care specialists and content validity results was tested. Participants also completed the Revised Scale for Caregiving Self-Efficacy and the General Health Questionnaire.

Aim and objective To explore the challenges faced by family caregivers of people with frontotemporal dementia and other forms of dementia affecting the frontal and temporal lobes causing behavioural disturbances through a qualitative approach with in‐depth interviews. Background Studies of different forms of dementia involving degeneration of the frontal and temporal lobes have mainly focused on the neurophysiology and physiology of the disease and on caregivers’ health.

Background Family members often need to be supported in informal care of the elderly and desire to be involved into care planning and decision‐making.

Informal carers (i.e. people who provide unpaid care to family and/or friends) are crucial in supporting people with long-term conditions. Caring negatively impacts on carers’ health and experiences of health services. Internationally and nationally, policies, legislation, professional guidance and research advocate for health and care services to do more to support carers. This study explored the views of health and social care providers, commissioners and policy makers about the role and scope for strengthening health service support for carers.

What is known about this topic Family caregiving has become more onerous in the last two decades.Family physicians have the potential to reach the majority of caregivers throughout the care trajectory.The demand for primary care to support caregivers comes primarily from researchers or advocacy organisations.

BACKGROUND/OBJECTIVES The COVID‐19 pandemic has massively disrupted essential clinical research. Many regulatory organizations have rightfully advocated to temporarily halt enrollment and curtail all face‐to‐face interactions. Views and opinions of patients and their caregivers are seldom considered while making such decisions. The objective was to study older participantsʼ and their caregiversʼ perspectives to participate in ongoing clinical research during the COVID‐19 pandemic. DESIGN Cross‐sectional.

Background Multimorbidity challenges the health‐care system and requires innovative approaches.

Extract: Caring for an older family member can be a challenging and stressful experience, and there is a need to better support family carers in their role.(1) Drawing on a rapidly growing body of research conducted with various population groups, (2) there is reason to suggest that psychological interventions that target self‐compassion could be particularly relevant in supporting family carers of older adults.

Objective: The aim of the study was to explore the feasibility of using telepresence robots to encourage interactive communication in dementia care, from the perspective of family carers. Methods: Qualitative findings from semi-structured interviews with six family carers. Results: Generally, family carers reported a feeling of presence and connectedness when talking to their family member via the telepresence robots. They reported the robots as helping to enhance longer conversations and social connection with their family member.

Introduction Cognitive behavioural family intervention (CBFI) may be an effective brief psychosocial intervention for people diagnosed with severe mental illness (SMI) and their families. No systematic review has summarized the effectiveness of CBFI. Aim This review aimed to systematically examine the trial evidence of the effectiveness of CBFI versus treatment as usual (TAU) on improving the outcomes of people diagnosed with SMI and their families. Method Eligible randomized controlled trials were identified from nine databases.