Literature Collection

BACKGROUND: Depression is a common condition among adolescents, with rates continuing to rise. A gap exists between evidence-based recommendations for the treatment of depression and clinical practice. Integrated Care Pathways (ICPs) can help address this gap, but to date no study has examined how young people and their caregivers experience ICPs and whether these pathways are an acceptable form of care. This study used focus groups with adolescents, caregivers, and service providers to examine experiences of an ICP. METHODS: Six individual interviews with service providers, four focus groups with youth, and two focus groups with caregivers were completed. Data was analyzed consistent with Braun & Clarke's Thematic Analysis Framework within an interpretivist paradigm. RESULTS AND CONCLUSION: The study demonstrated that ICPs are acceptable to youth and their caregivers and that ICPs facilitate shared decision making between youth/caregivers and care providers. Findings also indicated that youth are willing to engage with ICPs particularly when there is a trusted clinician involved who helps interpret and tailor the ICP to the young person's experience. Further questions include how to best integrate these into the overall system and how to further tailor these pathways to support youth with diagnostic complexity and treatment resistance.

BACKGROUND: The integration of artificial intelligence (AI) in healthcare is rapidly reshaping nursing roles, functions, and tasks. However, there is no established framework to guide understanding of how AI interacts with nursing practice. PURPOSE: To propose a conceptual framework, grounded in sociotechnical systems theory and task-technology fit, that illustrates the potential of AI to augment, automate, and hybridize nursing work. METHODS: An exploratory review of literature across nursing, organizational theory, information systems, and management was conducted to identify patterns related to task characteristics, human-technology interaction, and organizational context. FINDINGS: The framework links AI interaction types (augmentation, automation, and hybridization) with task categories (manual, cognitive, and routine) and organizational factors. It demonstrates that routine tasks are more amenable to automation, while complex tasks are better suited to augmentation or hybridization, depending on how governance structures shape AI adoption. CONCLUSION: This framework offers nurse leaders, educators, and clinicians a structured approach to anticipate AI's impact on nursing practice, align workflows, support ethical implementation, and inform curricula that prepare nurses for evolving AI-clinical care dynamics.