Providing a ‘whole-of-family’ approach to care: family-focused practices in mental health services

Introduction: Family members including children are all impacted by a family member’s mental illness. Although mental health services are increasingly encouraged to engage in family-focused practice, this is not a well-understood concept or practice in mental health care. Methods: An integrative review using systematic methods was conducted with international literature, with the aim of identifying concepts and practices of family-focused practice in child and youth and adult mental health services. Results: Findings from 40 peer-reviewed literature identified a range of understandings and applications of family-focused practice, including who comprises the ‘family’, whether the focus is family of origin or family of procreation or choice, and whether the context of practice is child and youth or adult. ‘Family’ as defined by its members forms the foundation for practice that aims to provide a whole-of-family approach to care. Six core practices comprise a family focus to care: assessment; psychoeducation; family care planning and goal-setting; liaison between families and services; instrumental, emotional and social support; and a coordinated system of care between families and services. Conclusion: By incorporating key principles and the core family-focused practices into their care delivery, clinicians can facilitate a whole-of-family approach to care and strengthen family members’ wellbeing and resilience, and their individual and collective health outcomes.

A Two-Stage Online Approach for Collaborative Multi-Agent Planning under Uncertainty

In a team of multiple agents, the pursuance of a common goal is a defining characteristic. Since agents may have different capabilities, and effects of actions may be uncertain, a common goal can generally only be achieved through a careful cooperation between the different agents. In this work, we propose a novel two-stage planner that combines online planning at both team level and individual level through a subgoal delegation scheme. The proposal brings the advantages of online planning approaches to the multi-agent setting. A number of modifications are made to a classical UCT approximate algorithm to (i) adapt it to the application domains considered, (ii) reduce the branching factor in the underlying search process, and (iii) effectively manage uncertain information of action effects by using information fusion mechanisms. The proposed online multi-agent planner reduces the cost of planning and decreases the temporal cost of reaching a goal, while significantly increasing the chance of success of achieving the common goal.