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Treatment access for families: An application of QCA and regression techniques

家庭的治疗机会：QCA 和回归技术的应用

基本信息

批准号：
8723371
负责人：
Emmeline Chuang
金额：
$ 7.94万
依托单位：
UNIVERSITY OF CALIFORNIA LOS ANGELES
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-02-15 至 2014-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8723371
关键词：
Accounting Adolescent Affect Alcohol abuse Alcohol or Other Drugs use Caregivers Characteristics Child Child Welfare Clinical Collaborations Communities Complex Data Development Drug abuse Early identification Emotional Disturbance Family Foundations Goals Health Services Research Individual Investigation Literature Location Longitudinal Studies Mental Health Mental disorders National Institute of Drug Abuse Outcome Personal Satisfaction Pharmaceutical Preparations Play Populations at Risk Prevention Provider Regression Analysis Relative (related person)Reporting Research Research Personnel Risk Risk Behaviors Role Services Specific qualifier value Subgroup Substance Use Disorder Surveys System Techniques Testing Time Training Vulnerable Populations Youth addiction alcohol services care systems cohort collaborative care comparative design functional outcomes improved innovation maltreated children maltreatment prevent response service utilization substance abuse treatment tool

项目摘要

DESCRIPTION (provided by applicant): At least half of all maltreatment cases in the U.S. occur in the context of substance use disorders. Child welfare agencies play an important role in connecting families to appropriate services within the community. This study will integrate qualitative comparative analysis (QCA) with regression to identify combinations of child welfare investigative and collaborative practices that maximize identification of caregiver and youth service needs and subsequent treatment utilization. QCA is innovative because it accounts for complex interactions between predictor variables. Analyses using data from a 2008-2009 entry cohort of families in the National Survey of Child and Adolescent Well-Being will proceed as follows: Multiple regression will determine the net effect of each practice on specified outcomes. QCA will identify complex combinations of practices that are positively associated with these outcomes. Finally, integration of QCA with regression will determine which combinations of child welfare agency practices maximize treatment utilization for caregivers and children after accounting for the complex survey design of the data as well as individual demographic and case characteristics. This study will yield important substantive findings and is well-aligned with NIDA's strategic goals of improving treatment access and helping prevent addiction in at-risk families.

描述（由申请人提供）：在美国，至少有一半的虐待案件发生在物质使用障碍的背景下。儿童福利机构在将家庭与社区内的适当服务联系起来方面发挥着重要作用。本研究将结合定性比较分析（QCA）与回归，以确定儿童福利调查和合作的做法，最大限度地确定照顾者和青少年的服务需求和随后的治疗利用的组合。QCA是创新的，因为它考虑了预测变量之间复杂的相互作用。使用2008-2009年全国儿童和青少年福利调查中的家庭入组数据进行的分析如下：多元回归将确定每种做法对特定结果的净影响。QCA将识别与这些结果积极相关的实践的复杂组合。最后，QCA与回归的整合将确定儿童福利机构实践的哪些组合在考虑了数据的复杂调查设计以及个人人口统计学和病例特征后，最大限度地提高了照顾者和儿童的治疗利用率。这项研究将产生重要的实质性结果，并与 NIDA的战略目标是改善治疗机会，帮助预防高危家庭的成瘾。