Pevention of Depression among Mothers of Young Children with Developmental Delay

发育迟缓幼儿母亲抑郁症的预防

基本信息

  • 批准号:
    7627184
  • 负责人:
  • 金额:
    $ 11.63万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-09-28 至 2011-05-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): As a nurse, throughout my career, I have seen the effects of depression on both mothers and children. Children of depressed mothers are at risk for a vast range of poor physical, cognitive, and emotional problems. Community-based programs that target vulnerable families consistently identify maternal depression as a factor that negatively impacts maternal and child outcomes. These women have been found to be an increased risk for depression. Therefore, identifying and treating depressed mothers represents an opportunity not only to help the women affected, but also to improve developmental and behavioral outcomes for their children. The proposed K-application is designed to establish the candidate as an independent researcher whose work focuses on building community-based preventive interventions to address maternal depressive symptoms among mothers of young children who are enrolled in Early Intervention (El), a national home based program that serves approximately 280,000 at-risk children birth to three. I will use the award to 1) develop a strong foundation in maternal affective disorders; 2) enhance my understanding of problem solving approaches to depression prevention and self-management; and 3) develop expertise in the design, adaptation, and testing of community-based preventive mental health interventions. While effective preventative psychosocial treatments for depression exist, none have been delivered and evaluated in the contest of a home-based program specifically for mothers of infants and children with developmental and other chronic health conditions. Three studies are planned to adapt and test a specific problem solving intervention, Problem Solving Treatment (PST), to prevent the onset and reoccurrence of depressive symptoms among mothers whose children are enrolled in the Massachusetts El Program. I will use qualitative methods to explore both maternal and staff perceptions about addressing maternal mental health in El. The second study, using both qualitative and quantitative methods, will adapt PST to the El environment. The last project will be a quasi-experimental study, in which 6 El case workers, trained in PST, will treat 24 families, to test the effectiveness of PST to impact maternal depressive symptoms, the study's primary outcome, as well as maternal social function, parenting stress, and quality of maternal-child interactions. This project will be used to define the methodological parameters necessary to design a subsequent; appropriately powered cluster randomized clinical trial. My goal is use the information gained from these studies to design and seek funding for a longitudinal cluster RCT to test my hypothesis that integrating an evidenced-based preventive mental health intervention in El programs can decrease the burden of depressive symptoms among at-risk mothers.
描述(由申请人提供):作为一名护士,在整个职业生涯中,我都看到了抑郁症对母亲和儿童的影响。沮丧的母亲的孩子面临着许多身体,认知和情感问题的差异。针对弱势家庭的社区计划始终将产妇抑郁症视为对孕产妇和儿童成果产生负面影响的因素。这些妇女被发现是抑郁症的风险增加。因此,识别和治疗沮丧的母亲不仅代表了一个机会,不仅可以帮助受影响的妇女,而且还可以改善子女的发育和行为成果。拟议的K申请旨在将候选人建立为独立研究人员,其工作着重于建立基于社区的预防干预措施,以解决已入学的幼儿的母亲抑郁症状(EL),这是一项国家家庭家庭计划,该计划是一项大约280,000个高危儿童的国家家庭家庭计划。我将使用该奖项为1)在孕产妇情感障碍方面奠定了坚实的基础; 2)增强我对解决问题的预防和自我管理方法解决方法的理解; 3)在设计,适应和测试基于社区的预防性心理健康干预措施方面发展专业知识。尽管存在有效的抑郁症的预防性心理社会心理治疗,但在家庭计划的竞赛中,专门针对患有发育和其他慢性健康状况的儿童的母亲进行了家庭计划。计划进行三项研究,以适应和测试特定的问题解决干预措施,解决问题治疗(PST),以防止在马萨诸塞州EL计划中招募孩子的母亲的抑郁症状的发作和再次发生。我将使用定性方法来探讨有关EL中孕产妇心理健康的母亲和员工的看法。第二项使用定性和定量方法的研究将使PST适应EL环境。最后一个项目将是一项准实验研究,其中6个接受了PST培训的EL病例工作者将治疗24个家庭,以测试PST影响产妇抑郁症状的有效性,该研究的主要结果以及母亲的社会功能,育儿压力,育儿压力和母亲亲子相互作用的质量。该项目将用于定义设计后续的方法论参数;适当动力的集群随机临床试验。我的目标是利用从这些研究中获得的信息来设计和寻求资金以进行纵向群集RCT来测试我的假设,即在EL计划中整合基于证据的预防性心理健康干预措施可以减轻高危母亲中抑郁症状的负担。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Ethnically diverse mothers' views on the acceptability of screening for maternal depressive symptoms during pediatric well-child visits.
The impact of race on participation in part C early intervention services.
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EMILY FEINBERG其他文献

EMILY FEINBERG的其他文献

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{{ truncateString('EMILY FEINBERG', 18)}}的其他基金

Collaborative Care Model for Perinatal Depression Support Services -- Population-Level Equity-Centered Systems Change (COMPASS-PLUS): A Hybrid Type 2 Cluster Randomized Trial
围产期抑郁症支持服务协作护理模式——以人口水平公平为中心的系统变革 (COMPASS-PLUS):混合 2 型集群随机试验
  • 批准号:
    10835287
  • 财政年份:
    2023
  • 资助金额:
    $ 11.63万
  • 项目类别:
Improving Preschool Outcomes by Addressing Maternal Depression in Head Start
通过提前解决母亲抑郁症问题来改善学前教育成果
  • 批准号:
    10543380
  • 财政年份:
    2022
  • 资助金额:
    $ 11.63万
  • 项目类别:
Improving Preschool Outcomes by Addressing Maternal Depression in Head Start
通过提前解决母亲抑郁症问题来改善学前教育成果
  • 批准号:
    10083218
  • 财政年份:
    2020
  • 资助金额:
    $ 11.63万
  • 项目类别:
Improving Preschool Outcomes by Addressing Maternal Depression in Head Start
通过提前解决母亲抑郁症问题来改善学前教育成果
  • 批准号:
    9884948
  • 财政年份:
    2020
  • 资助金额:
    $ 11.63万
  • 项目类别:
Optimizing a Paraprofessional, Family Partner Navigation Model for Children
优化儿童辅助专业人员、家庭合作伙伴导航模型
  • 批准号:
    10409572
  • 财政年份:
    2018
  • 资助金额:
    $ 11.63万
  • 项目类别:
Optimizing a Paraprofessional, Family Partner Navigation Model for Children
优化儿童辅助专业人员、家庭合作伙伴导航模型
  • 批准号:
    10210234
  • 财政年份:
    2018
  • 资助金额:
    $ 11.63万
  • 项目类别:
Early identification and service linkage for urban children with autism
城市自闭症儿童早期识别与服务联动
  • 批准号:
    8756338
  • 财政年份:
    2014
  • 资助金额:
    $ 11.63万
  • 项目类别:
Early identification and service linkage for urban children with autism
城市自闭症儿童早期识别与服务联动
  • 批准号:
    9305159
  • 财政年份:
    2014
  • 资助金额:
    $ 11.63万
  • 项目类别:
Early Identification and Service Linkage for Urban Children with Autism
城市自闭症儿童早期识别与服务联动
  • 批准号:
    9075681
  • 财政年份:
    2014
  • 资助金额:
    $ 11.63万
  • 项目类别:
Reducing Disparities in Timely Autism Diagnosis through Family Navigation
通过家庭导航减少自闭症及时诊断的差异
  • 批准号:
    8490793
  • 财政年份:
    2013
  • 资助金额:
    $ 11.63万
  • 项目类别:

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