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
基本信息
- 批准号:10409572
- 负责人:
- 金额:$ 70.38万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-01 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:AdoptedAgeAttention deficit hyperactivity disorderAttitudeCaringChildChildhoodClinicCollaborationsCommunitiesCommunity HealthComplexComputerized Medical RecordConsumptionDataDiseaseDissemination and ImplementationEffectivenessEnhancement TechnologyEthnic OriginExperimental DesignsFaceFamilyFederally Qualified Health CenterFutureHIVHealth ServicesHealth Services AccessibilityHomeHome visitationImprove AccessIndividualInformation NetworksInsuranceInterventionLanguageLow incomeMalignant NeoplasmsMeasuresMediator of activation proteinMental HealthMental Health ServicesMental disordersMethodsModelingMonitorMotivationOnline SystemsOregonOutcomeOutcome StudyPatient EducationPersonsPopulationPrimary Health CareProblem SolvingProtocols documentationRaceRandomizedResearchResourcesSchoolsSeveritiesSymptomsSystemTechnologyTestingTimeTransportationautism spectrum disorderbasebehavioral healthcare coordinationcare deliverycare systemschronic care modelcostcost effectivedesigndisparity reductioneffectiveness evaluationeffectiveness testingevidence basefamily supporthealth knowledgeimplementation evaluationimplementation facilitatorsimplementation strategyinnovationinstrumentmeetingsmotivational enhancement therapymulti-component interventionmultiphase optimization strategynovel strategiespatient portalprimary outcomepublic health interventionresponsescreeningsocial stigmasuccesstelehealththeories
项目摘要
PROJECT SUMMARY
Two decades of evidence support the effectiveness of family navigation (FN) as a care-management approach
to reducing disparities in access to health services for disorders; despite substantial promise, widespread
dissemination of FN still faces significant challenges. FN is a complex, multi-component intervention that
generally incorporates motivational interviewing, problem-solving strategies, patient education, and care
coordination. Each of these components can be delivered through a range of strategies including in-person
meetings, telehealth, home visits, and/or web-based technologies. Our team’s research strongly supports FN’s
effectiveness as a whole; however, three questions remain: 1) what are the most effective delivery strategies
for FN; 2) which FN components are the “active ingredients;” and 3) how can FN be disseminated to a broad
population. In the current proposal, FN will be will be delivered by a Family Partner and deployed to improve
access to behavioral health services among children ages 3-12 years. Our study will be carried out at a large
federally qualified health center within a newly formed Accountable Care Organization. For this project, we
propose to optimize FN for dissemination at scale. First, using the Multiphase Optimization Strategy
(MOST), which relies on a randomized, multi-factorial design, we will simultaneously test the effectiveness of
three novel strategies for delivering FN components: (A) technology-assisted delivery of care coordination
using an innovative, web-based platform; (B) community-based; and (C) enhanced symptom tracking using
evidence-based screening instruments (compared to standard pediatric surveillance). Second, using path
analysis, we will test mediators and moderators of FN outcomes. Third, using a mixed-methods approach, we
will study factors that influence implementation. Integration of our three aims will yield a FN model that is
optimized for efficiency, effectiveness, and wider implementation. Our specific aims are: (1) To evaluate the
effectiveness of three strategies to deliver FN components. We will use a 2 x 2 x 2 factorial experimental
design to test three strategies to deliver FN components. Families (n=304) will be randomized to one of eight
conditions. We will estimate main effects of the three experimental factors and the additive effects of
combinations of factors on the study’s primary outcome – engagement in appropriate mental health services. (2)
To evaluate mechanisms of FN effectiveness and for whom it is most effective. (3) To Optimize FN for
dissemination and evaluate implementation strategies. Following Aarons’ scaling-out framework, we will
use mixed methods to explore barriers and facilitators to implementation by evaluating fidelity (to intervention
and implementation), reach, and cost. Then, working with our team of stakeholders, we will integrate these
findings with data from Aim 1 and 2 to optimize FN based on effectiveness, identified mediators and
moderators, and implementation success.
项目摘要
二十年的证据支持家庭导航(FN)作为护理方法的有效性
减少疾病获得卫生服务方面的差异;目的地的实质性承诺,宽度
FN的传播仍然面临重大挑战。 FN是一种复杂的多组分干预措施
通常结合动机访谈,解决问题的策略,患者教育和护理
协调。这些组件中的每一个都可以通过一系列策略来交付
会议,远程医疗,家庭访问和/或基于网络的技术。我们团队的研究强烈支持FN
整体有效性;但是,仍然存在三个问题:1)最有效的交付策略是什么
对于fn; 2)哪些FN组件是“活跃的侵蚀剂”; 3)如何将FN传播到广泛
人口。在当前的提案中,FN将由家庭合作伙伴交付并部署以改进
3-12岁儿童中的行为健康服务。我们的研究将在大型
新成立的责任心组织中的联邦合格卫生中心。对于这个项目,我们
提议优化FN以大规模传播。首先,使用多相优化策略
(大多数)依赖于随机的多因素设计,我们将简单地测试
交付FN组件的三种新型策略:(a)技术协助的护理协调交付
使用创新的,基于网络的平台; (b)基于社区的; (c)使用
基于证据的筛查工具(与标准的小儿监视相比)。其次,使用路径
分析,我们将测试FN结果的介体和主持人。第三,使用混合方法方法,我们
将研究影响实施的因素。我们三个目标的集成将产生一个FN模型
优化效率,有效性和更广泛的实施。我们的具体目的是:(1)评估
提供FN组件的三种策略的有效性。我们将使用2 x 2 x 2阶乘实验
设计以测试提供FN组件的三种策略。家庭(n = 304)将被随机分为八个
状况。我们将估计三个实验因素的主要影响以及
研究主要结果的因素结合在一起 - 参与适当的心理健康服务。 (2)
评估FN有效性的机制,并为其最有效。 (3)优化FN
传播和评估实施策略。遵循Aarons的扩展框架,我们将
使用混合方法来探索障碍和促进者通过评估保真度(干预)
和实施),覆盖范围和成本。然后,与我们的利益相关者团队合作,我们将整合这些
来自AIM 1和2的数据的发现,根据有效性,确定的调解人和
主持人和实施成功。
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)
Operationalizing Primary Outcomes to Achieve Reach, Effectiveness, and Equity in Multilevel Interventions.
落实主要成果,以实现多层次干预措施的覆盖面、有效性和公平性。
- DOI:10.1007/s11121-023-01613-2
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Guastaferro,Kate;Sheldrick,RChristopher;Strayhorn,JillianC;Feinberg,Emily
- 通讯作者:Feinberg,Emily
Adapting Community Health Worker Care Models to Advance Mental Health Services Among LGBTQ Youth.
- DOI:10.1007/s10488-023-01268-9
- 发表时间:2023-07
- 期刊:
- 影响因子:2.6
- 作者:Barnett, Miya L.;Salem, Hanan;Rosas, Yessica Green;Feinberg, Emily;Nunez-Pepen, Rocio;Chu, Andrea;Belmont-Ryu, Hana;Matsuno, Em;Broder-Fingert, Sarabeth
- 通讯作者:Broder-Fingert, Sarabeth
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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:
$ 70.38万 - 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:
$ 70.38万 - 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:
$ 70.38万 - 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:
$ 70.38万 - 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:
$ 70.38万 - 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:
$ 70.38万 - 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:
$ 70.38万 - 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:
$ 70.38万 - 项目类别:
Reducing Disparities in Timely Autism Diagnosis through Family Navigation
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- 批准号:
8490793 - 财政年份:2013
- 资助金额:
$ 70.38万 - 项目类别:
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
- 批准号:
7627184 - 财政年份:2007
- 资助金额:
$ 70.38万 - 项目类别:
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