Assessing the impacts of Medicaid Home and Community Based Waivers for children with Severe Emotional Disturbance
评估医疗补助家庭和社区豁免对患有严重情绪障碍的儿童的影响
基本信息
- 批准号:10429717
- 负责人:
- 金额:$ 16.68万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-05-01 至 2026-04-30
- 项目状态:未结题
- 来源:
- 关键词:AccountingAchievementAddressAdministratorAmericans with Disabilities ActCaringCharacteristicsChildChild CareClinicalCommunitiesCommunity ServicesComplexDataData AnalysesData CollectionData ReportingData SetDecision MakingDiagnosisDiseaseDistressEffectivenessEnrollmentEnvironmentExhibitsExpenditureFamilyFinancial HardshipFundingGoalsGrantHealthHealth PolicyHealth financingHealthcareHomeHome RangesImprove AccessIncomeIndividualInpatientsInstructionInterventionKnowledgeLawsLong-Term CareMedicaidMedicaid servicesMentorsMentorshipMethodologyModelingNational Institute of Mental HealthOutcomeParentsParticipantPoliciesProviderPsychiatric therapeutic procedurePublic HealthResearchResearch DesignResearch MethodologyResearch PersonnelResidential TreatmentResourcesRiskRisk FactorsServicesSeveritiesSourceStatistical MethodsStrategic PlanningStructureSymptomsSystemTechniquesTexasTimeTime StudyTrainingUnited StatesVariantWritingYouthalternative treatmentbasebehavior measurementbehavioral healthcommunity based servicecostdata managementexperiencehealth care service utilizationhealth service useimprovedimproved functioningnon-compliancenovelpatient home carepreventprogramsresidential care facilityserious emotional disturbanceservice interventionservice utilizationskillsstatisticssymposiumtraining opportunitywaiver
项目摘要
PROJECT SUMMARY
The overall goal of this K01 application is to estimate the impact of 1915(c) Home and Community-Based
Services (HCBS) Medicaid waiver programs for children with Severe Emotional Disturbance (SED) on
behavioral health care service use and expenditures for children with SED. Children with severe SED are at
significant risk for psychiatric long-term care (LTC) use due to the severity of their symptoms and inability to
access alternative community-based behavioral health care. To reduce public financial burdens and family
distress associated with use of psychiatric LTC, one in five states offer 1915(c) HCBS Medicaid waiver
policies. These policies expand the Medicaid-funded community-based service array for children who exhibit a
clinical need for institutional psychiatric care, regardless of family income levels. Though these policies are
intended to prevent psychiatric LTC use by providing alternative community-supports, achievement of these
goals is unclear. Scant existing research lacks either causal inference or generalizability, as they are cross
sectional, regional, or minimally control for clinical variation in program participants. The goal of this K01 is to
train the recipient in the statistical and methodological skills needed to study the impacts of health policy on
service utilization and expenditure outcomes for children and youth with complex behavioral health needs.
Research aims are to 1) create a comprehensive SED waiver policy dataset that codifies the structures and
provisions of these policies across states and over time, 2) identify and compare characteristics of children
enrolled in SED waiver programs and children who use psychiatric LTC among Medicaid-enrolled children with
behavioral health disorders; 2b) assess SED waiver policies and waiver program enrollment’s association with
amelioration of adverse risk factors for LTC, and 3) estimate the effects of the Texas SED Waiver and its
characteristics on Medicaid-reimbursed behavioral health service use and expenditures. The training aims of
the project are to 1) acquire knowledge, skill, and experience in public health law research methods, 2) build
knowledge on the assumptions and applicability of research designs and statistical methods for estimating
causal effects of behavioral health policy interventions using observational and administrative data, 3) apply
current and best practices for defining and measuring behavioral health service use and expenditures using
diverse sources of health claims data and 4) obtain the research, writing, and administrative expertise to
submit a successful R01 grant during the final year of the K01. Training aims will be accomplished through
formal coursework, individualized instruction, seminar and workgroup participation, mentored research, and
conference participation. Research aims will use data from state SED waiver applications merged with
Medicaid claims data from state and federal resources. This project will provide novel evidence for
policymakers nationwide regarding which children may be at risk for psychiatric institutional care, the policy or
service interventions that may reduce these risks, and what costs may be associated with these interventions.
项目总结
此K01应用程序的总体目标是评估1915(C)基于家庭和社区的影响
服务(HCBS)为有严重情绪障碍(SED)的儿童提供医疗补助豁免计划
自发性精神障碍儿童的行为保健服务使用和支出情况。患有严重SED的儿童在
精神科长期护理(LTC)使用的重大风险,因为他们的症状很严重,无法
获得以社区为基础的替代行为保健服务。减轻公共财政负担和家庭负担
与使用精神科LTC相关的痛苦,五分之一的州提供1915(C)HCBS医疗补助豁免
政策。这些政策扩大了医疗补助资助的以社区为基础的服务系列,适用于表现出
无论家庭收入水平如何,都有机构精神护理的临床需求。尽管这些政策是
旨在通过提供替代的社区支持来防止精神病LTC的使用,实现以下目标
目标尚不清楚。几乎没有现有的研究缺乏因果推论或概括性,因为它们是交叉的
对计划参与者的临床变异进行分段、区域或最低限度的控制。这款K01的目标是
对受助者进行必要的统计和方法技能培训,以研究卫生政策对以下方面的影响
有复杂行为健康需求的儿童和青年的服务利用和支出结果。
研究目标是1)创建一个全面的SED豁免政策数据集,将结构和
这些政策在各州的规定,随着时间的推移,2)确定和比较儿童的特征
参加SED豁免计划的儿童和在接受医疗补助的儿童中使用精神LTC的儿童
行为健康障碍;2b)评估SED豁免政策和豁免计划登记与以下方面的关联
改善LTC的不利风险因素,以及3)估计德克萨斯州SED豁免的影响及其
医疗补助报销的行为健康服务使用和支出的特点。的培训目标
该项目是为了1)获得公共卫生法研究方法知识、技能和经验,2)建立
了解研究设计的假设和适用性以及估算的统计方法
使用观察和管理数据的行为健康政策干预的因果效应,3)适用
定义和衡量行为健康服务使用和支出的当前和最佳实践
不同来源的健康声明数据以及4)获得研究、写作和管理方面的专业知识
在K01的最后一年提交一份成功的R01赠款。培训目标将通过以下方式实现
正规课程、个性化教学、研讨会和工作组参与、有指导的研究,以及
参与会议。研究目标将使用来自州SED豁免申请的数据,与
医疗补助计划声称数据来自州和联邦资源。该项目将提供新的证据
全国的政策制定者关于哪些儿童可能面临接受精神病院护理的风险,该政策或
可以降低这些风险的服务干预措施,以及与这些干预措施相关的成本。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Genevieve Graaf其他文献
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{{ truncateString('Genevieve Graaf', 18)}}的其他基金
Assessing the impacts of Medicaid Home and Community Based Waivers for children with Severe Emotional Disturbance
评估医疗补助家庭和社区豁免对患有严重情绪障碍的儿童的影响
- 批准号:
10611513 - 财政年份:2022
- 资助金额:
$ 16.68万 - 项目类别:
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