Animal-assisted and robotic animal-assisted interventions within dementia care: A systematic review.

Background: Animal-assisted interventions and robotic animal interventions are becoming increasingly popular to support the care of people with dementia and may have the potential to improve a range of psychosocial outcomes. This review aims to identify, describe, and compare animal-assisted and robotic animal interventions delivered to people with dementia, their characteristics, effectiveness, and the proposed mechanisms underlying any potential impact.

Methods: A systematic literature search was conducted in MEDLINE, AMED, EMBASE, PsycINFO, OVID Nursing, PubMed, CINAHL and Web of Science.

The clinical implications of digital technology.

The proliferation of digital technology within the lives of children and young people (CYP) provides arguably one of the most significant clinical and ethical paradigm shifts in Child and Adolescent Psychiatry. One can argue that mental health research has taken a myopic approach to understanding the interaction between young people's technology use and their mental health. Mental health clinicians also need a better understanding of the digital lives of CYP and how technology may be supporting or harming their mental health.

Who is the Practitioner in Faculty-Staff Sexual Misconduct Work?: Views from the UK and US.

This article maps and compares four universities' policies and procedures for addressing faculty and staff sexual misconduct in higher education in the UK and US. While universities have engaged in significant work to grapple with student-student sexual misconduct, attention to misconduct perpetrated, and experienced, by higher education employees is relatively nascent. In this paper, we explore the maze of institutional processes and actors that victim-survivors of FASSM might encounter.

Impact of COVID-19 in mental health trusts.

Objective: To explore how mental health trusts in England adapted and responded to the challenges posed by the COVID-19 pandemic, with the aim of identifying lessons that can be learned during and beyond the pandemic.

Methods: Following a scoping study, we undertook 52 semi-structured interviews with senior managers, clinicians, patient representatives and commissioning staff across four case study sites. These sites varied in size, location and grading awarded by a national regulatory body.

Understanding the Lived Experience of Children With Type 1 Diabetes in Kenya: Daily Routines and Adaptation Over Time.

Focusing only on biomedical targets neglects the important role that psychosocial factors play in effective diabetes self-management. This study aims to understand the lived experiences of children with Type 1 Diabetes (T1DM) in Kenya. Children ( = 15) participated in focus group discussions and photo diary data collection.

Proximity and High Density of Convenience Stores Was Associated With Obesity in Children of a Rural Community of Mexico: Using a Geographic Information System Approach.

Background: Food environment (FE) has been linked to obesity in urban areas, but there is limited information in rural areas, particularly in developing countries, where prevalence of obesity is high.

Objective: To determine the association between FE and childhood obesity using Geographic Information Systems (GIS).

Methods: A total of 218 (8-10 years) children participated in a cross-sectional study.

Finding Neymar: The Role of Colour in the Detection and Discrimination of Football Kits.

Association Football (hereafter football) is a fast-moving sport in which rapid decisions need to be made; where are other players, are they on my team? Two experiments investigated how kit variations affect the search of teammates. Experiment 1 confirmed that discriminability is slower when playing in crossed kits (e.g.

Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research.

The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their research, as well as anticipate and respond to ethical dimensions of this societal impact through responsible research and innovation principles. Using artificial intelligence population health research in the United Kingdom and Canada as a case study, we combine a mapping study of journal publications with 18 interviews with researchers to explore how the ethical dimensions associated with this societal impact are incorporated into research agendas.