Applying After-Action Reviews to Child and Family Teams to Improve Mental Health Service Linkage within Child Welfare Services

项目总结(CWS中的行动审查后R34#1) 涉及儿童福利的儿童和青少年中有一半符合至少一种当前精神障碍的标准1。 行动计划的共同决策对#年儿童和家庭的心理健康和福祉至关重要 儿童福利服务(CWS)，减少了儿童移居和复发2，从而导致减少 儿童创伤、行为问题和心理健康问题的风险。然而，无论是父母还是社会工作者 感觉到行动计划包括相互影响3，父母觉得他们没有发言权或投入4。孩子和 每个儿童或青少年必须在加入CWS后60天内参加家庭团队(CFT)会议，并 以家庭为中心和协作方式，在相互的基础上制定个性化、有效的服务计划 5.同意。依靠团队合作的方法，CFT会议旨在让儿童和家庭在 创建和指导他们的案例计划，建议孩子们在与家人联系时做得更好，并赋予他们权力 与CWS机构合作的家庭7，8，并满足团队执行“复杂的， 相互依赖、动态和模糊的任务。9然而，在CWS CFT会议上，团队合作的质量可以 因满足不同家庭成员的多种需求和观点的内在挑战而受损 和专业人员，以及CWS的压力和限制。来自团队效率的创新 研究有望促进CWS内部共享决策的改进。后遗症 复习(AAR)是一种相对简单、廉价、快速和强大的工具，可以提高学习、成绩和 团队和个人的有效性。AAR是主动的自学过程，其中团队成员 反思具体表演插曲，积极参与自我发现，提高学习非 惩罚性的/不加评判的态度。AAR已成为组织利用的常见工具 军事、医疗、教育和其他应用程序，通过以下方式提高个人和团队绩效 大约20-25%。本建议旨在应用团队发展干预的事后回顾 (AAR)改进儿童与家庭小组(CFT)会议的执行情况，目前儿童与家庭小组(CFT)会议在CWS中使用。这 提案将通过解决以下问题来调整和评估AAR对提高CFT成果的影响： 具体目标1.针对正在进行的CFT临床实施进行定性需求评估 干预大型、公共资助的县CWS系统；具体目标2.调整和定制AAR团队 有效性干预，以满足CFT服务干预需求；目标3.评估 AAR团队对CFT实施的有效性干预和自然语言的新应用 加工方法。目标3.a。试行AAR实施战略，以改善CFT结果，以及 探索团队机制；目标3b。识别和利用符合以下条件的CFT通信语言数据源 可行的、自然发生的、适合CWS上下文提交给方法核心进行聚合的 跨项目。

PROJECT SUMMARY (R34#1 After Action Reviews in CWS) Half of child-welfare involved children and adolescents meet criteria for at least one current mental disorder1. Shared decision-making for Action Plans is vital to the mental health and wellbeing of children and families in Child Welfare Services (CWS), with fewer child removals and fewer recurrences2, thus resulting in decreased risk of child trauma, behavioral concerns, and mental health concerns. Yet, neither parents nor caseworkers perceive that Action Plans include mutual influence3, and parents feel they have no voice or input4. Child and family team (CFT) meetings are required for each child or youth within sixty days of entering CWS, and are family-centered and collaborative ways to develop individualized, effective service plans based on mutual agreement5. Relying on teamwork approaches, CFT meetings intend to give children and families a voice in creating and guiding their case plans6, suggest children do better when connected to their families and empower families to work with CWS agencies7,8, and address organizational need for teams to perform “complex, interdependent, dynamic, and ambiguous tasks.”9 Yet, in CWS CFT meetings, the quality of teamwork can be impaired by the inherent challenges of serving multiple needs and viewpoints that vary across family members and professionals, as well as the pressures and constraints of CWS. Innovations from team effectiveness research hold promise in facilitating improvements in shared decision-making within CWS. The after-action review (AAR) is a relatively simple, inexpensive, quick, and powerful tool to improve learning, performance, and the effectiveness of teams and individuals. AARs are active self-learning processes wherein team members reflect on specific performance episode to actively engage in self-discovery and improve learning in a non- punitive/non-judgmental manner. AARs have become a common tool that organizations have leveraged in military, medical, educational, and other applications, to improve individual and team performance by approximately 20-25%. This proposal aims to apply the team development intervention of the after-action review (AAR) to improve implementation of the Child and Family Team (CFT) meetings currently used in the CWS. This proposal will tailor and assess the impact of the AAR on enhancing CFT outcomes by addressing the following: Specific Aim 1. Conduct a qualitative needs assessment targeting the ongoing implementation of the CFT clinical intervention in a large, publicly funded, County CWS system; Specific Aim 2. Adapt and tailor the AAR team effectiveness intervention to address the CFT services intervention needs; Aim 3. Assess mechanisms of the AAR team effectiveness intervention for CFT implementation and a novel application of natural language processing methods. Aim 3.a. Pilot-test the AAR implementation strategy on improving CFT outcomes, and explore team mechanisms; Aim 3b. Identify and leverage CFT communication language data sources that are feasible, naturally occurring, and appropriate for the CWS context to submit to methods core for aggregation across projects.