The National Center for Health and Justice Integration for Suicide Prevention
国家预防自杀健康与司法一体化中心
基本信息
- 批准号:10688220
- 负责人:
- 金额:$ 298.56万
- 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:2022-08-22 至 2027-07-31
- 项目状态:未结题
- 来源:
- 关键词:911 callAcuteAddressAdmission activityAreaAwarenessBig DataBiometryCaringClientCommunitiesCommunity HealthcareCountyCriminal JusticeDataData LinkagesDetectionDiffusionDiseaseEffectiveness of InterventionsFundingFutureGeneral PopulationGoalsHealthHealth systemHealthcareHealthcare SystemsIndividualInformation SystemsInfrastructureInterceptInterventionInvestigational TherapiesJailJusticeLearningLifeLinkManicManualsMental HealthMethodsModelingMorbidity - disease rateMovementNational Institute of Mental HealthOutcomePathway interactionsPatientsPersonsPolicePopulationPopulations at RiskPreventionPrevention approachPrisonsProviderRacial EquityRecordsResearchResourcesRiskRisk FactorsRisk MarkerStructureSuicideSuicide preventionSystemTarget PopulationsTestingTimeVulnerable PopulationsWomanWorkbasebiomedical informaticscost effectivenesscost-effectiveness evaluationcourtdata integrationeffectiveness evaluationeffectiveness/implementation studyexperiencehealth datahealth disparityhealth planhigh riskhigh risk populationimplementation scienceimprovedinnovationmenmortalitymultiple data sourcesnovelparoleprobationpsychoticreducing suicideresponsescreeningsevere mental illnessstressorsubstance usesuicidal morbiditysuicidal risktrait
项目摘要
Justice-involved individuals have high rates of trait, state, and precipitating risk factors for suicide, account for a
significant proportion of U.S. suicides each year, and many are not well-connected to care. The National Center
for Health and Justice Integration for Suicide Prevention (NCHATS): (1) uses contact with the justice system
(e.g., police contact, arrest) as a novel indicator of suicide risk in the general population; (2) demonstrates how
big data systems that efficiently track justice involvement can be linked to health system records and scaled to
identify individuals at risk for suicide and connect them to care; and (3) examines effectiveness and scalability
of suicide prevention approaches using these methods. Center projects are hybrid effectiveness-implementation
studies that examine effectiveness, cost-effectiveness, and scalability of suicide prevention activities triggered
through linkage of justice and health data. Given that contact with the justice system is a sign of risk for suicide,
big data integration across justice/health systems to flag movement between systems (and therefore suicide
risk) provides a novel method of identifying suicide risk in the general population. This approach does not require
collecting new data from this hard-to-reach population. Rather, it sets up strategies to efficiently link existing data
and to test methods to respond. This is an innovative and potentially scalable approach to identify/address
suicide risk for individuals not well-connected with standard health care. The Center is innovative in that it: (1)
establishes a suicide prevention intervention effectiveness base for a large and high-risk target population,
conducting (a) 2 of only 3 fully-powered suicide prevention RCTs in justice populations, and (b) the largest RCTs
of any intervention for any condition in a justice-involved population to date; (2) develops and manualizes
strategies for scalability and sustainment -- understudied areas of implementation science; (3) uses contact with
the justice system as a novel indicator of suicide risk in the general population; (4) uses sociometric identification
of key individuals to promote diffusion and dissemination of Center approaches; (5) demonstrates how efficient,
generalizable health and justice system big data linkage is achieved and can be used to automate suicide risk
identification and response across health and justice systems at scale. This is extremely rarely done in practice
and never before tested as a method of improving health outcomes in justice populations. By incorporating the
few cases of which we are aware into this Center, we are poised to rapidly advance the field. Center aims are
to: (1) Evaluate effectiveness and cost-effectiveness of suicide prevention approaches that use justice contacts
as markers of risk and health/justice system data linkage to provide scalable ways to alert providers of this risk;
(2) Maximize scalability, sustainability, relevance, and dissemination of identified approaches and identify, refine,
and manualize scalability/sustainment strategies to be fully tested in future trials; and (3) Promote national
research and practice capacity in suicide prevention at justice intercepts. Partners include jails, police, health
plans, healthcare systems, courts, judges, community corrections, racial equity, and lived experience.
涉及司法的个人有很高的自杀的特质,状态和突发风险因素,解释了一个
美国每年自杀的比例很大,许多人与护理没有很好的联系。国家中心
健康和司法一体化预防自杀(NCHATS):(1)使用与司法系统的联系
(e.g.,警察接触,逮捕)作为一般人群自杀风险的新指标;(2)演示如何
有效跟踪司法参与的大数据系统可以与卫生系统记录相关联,并扩展到
识别有自杀风险的个人,并将他们与护理联系起来;(3)检查有效性和可扩展性
使用这些方法的自杀预防方法。中心项目是混合型的有效性-实施
调查自杀预防活动的有效性、成本效益和可扩展性的研究
通过司法和健康数据的联系。鉴于与司法系统接触是自杀风险的标志,
跨司法/卫生系统的大数据集成,以标记系统之间的移动(从而标记自杀
风险)提供了一种识别一般人群自杀风险的新方法。这种方法不需要
从这些难以接触到的人群中收集新的数据。相反,它建立了有效链接现有数据的策略
并测试应对方法。这是一种创新的、具有潜在可扩展性的方法,
与标准医疗保健没有良好联系的个人的自杀风险。该中心的创新之处在于:(1)
为庞大的高危目标人群建立自杀预防干预有效性基础,
在司法人群中进行(a)3项完全有效的自杀预防RCT中的2项,以及(B)最大的RCT
(2)开发和手动化
可扩展性和可持续性的战略--实施科学的未充分研究的领域;(3)使用与
司法系统作为一般人群自杀风险的新指标;(4)使用社会计量识别
(5)展示如何有效地,
实现了可推广的卫生和司法系统大数据链接,并可用于自动化自杀风险
在整个卫生和司法系统大规模地进行识别和应对。这在实践中是极其罕见的
而且以前从未被测试过作为改善司法人口健康结果的方法。通过并入
我们所知道的几个案例进入这个中心,我们准备迅速推进这一领域。中心的目标是
目的:(1)评估使用司法联系人的自杀预防方法的有效性和成本效益
作为风险标志和卫生/司法系统的数据链接,以提供可扩展的方式提醒服务提供者注意这一风险;
(2)最大限度地扩大所确定的方法的可扩展性、可持续性、相关性和传播,
并将可扩展性/可持续性战略手册化,以便在今后的试验中进行充分测试;以及(3)促进国家
在预防自杀方面的研究和实践能力。合作伙伴包括监狱,警察,卫生
计划,医疗保健系统,法院,法官,社区矫正,种族平等和生活经验。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Managed Care Updates of Subscriber Jail Release to Prompt Community Suicide Prevention: Clinical Trial Protocol.
订阅者监狱释放的管理式护理更新以促进社区自杀预防:临床试验方案。
- DOI:10.21203/rs.3.rs-3350204/v1
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Arias,SarahA;Sperber,Kimberly;Jones,Richard;Taxman,FayeS;Miller,TedR;Zylberfuden,Sarah;Weinstock,LaurenM;Brown,GregoryK;Ahmedani,Brian;Johnson,JenniferE
- 通讯作者:Johnson,JenniferE
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Brian Kenneth Ahmedani其他文献
Brian Kenneth Ahmedani的其他文献
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{{ truncateString('Brian Kenneth Ahmedani', 18)}}的其他基金
All of Us Research Program Trans-America Consortium of the HCSRN
我们所有人研究计划 HCSRN 泛美联盟
- 批准号:
10871074 - 财政年份:2023
- 资助金额:
$ 298.56万 - 项目类别:
Project 3: Suicide Risk Identification in Jails using Data Linkage and Automation
项目 3:使用数据链接和自动化识别监狱中的自杀风险
- 批准号:
10441875 - 财政年份:2022
- 资助金额:
$ 298.56万 - 项目类别:
Project 1: Syncing Screening and Services for Suicide Prevention across Health and Justice Systems
项目 1:跨卫生和司法系统同步预防自杀的筛查和服务
- 批准号:
10688238 - 财政年份:2022
- 资助金额:
$ 298.56万 - 项目类别:
The National Center for Health and Justice Integration for Suicide Prevention
国家预防自杀健康与司法一体化中心
- 批准号:
10441870 - 财政年份:2022
- 资助金额:
$ 298.56万 - 项目类别:
Project 1: Syncing Screening and Services for Suicide Prevention across Health and Justice Systems
项目 1:跨卫生和司法系统同步预防自杀的筛查和服务
- 批准号:
10441873 - 财政年份:2022
- 资助金额:
$ 298.56万 - 项目类别:
Embedded Mental Health Services Postdoctoral Research Training in Health Systems
嵌入式心理健康服务 卫生系统博士后研究培训
- 批准号:
10172351 - 财政年份:2021
- 资助金额:
$ 298.56万 - 项目类别:
Embedded Mental Health Services Postdoctoral Research Training in Health Systems
嵌入式心理健康服务 卫生系统博士后研究培训
- 批准号:
10651616 - 财政年份:2021
- 资助金额:
$ 298.56万 - 项目类别:
Embedded Mental Health Services Postdoctoral Research Training in Health Systems
嵌入式心理健康服务 卫生系统博士后研究培训
- 批准号:
10393602 - 财政年份:2021
- 资助金额:
$ 298.56万 - 项目类别:
Trans-America Consortium of the Health Care Systems Research Network for the All of Us Research Program
全美医疗保健系统研究网络泛美联盟研究计划
- 批准号:
10090732 - 财政年份:2018
- 资助金额:
$ 298.56万 - 项目类别:
Trans-America Consortium of the Health Care Systems Research Network for the All of Us Research Program
全美医疗保健系统研究网络泛美联盟研究计划
- 批准号:
10683862 - 财政年份:2018
- 资助金额:
$ 298.56万 - 项目类别:
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