Expanding the Geospatial Identification of Elevated Suicide Risk (GIESR) Method to Identify Neighborhood Level Risk and Protective Factors for Youth Suicide Ideation and Attempts

扩展自杀风险高的地理空间识别 (GIESR) 方法，以识别社区层面的风险以及青少年自杀意念和企图的保护因素

• 批准号: 10665074
• 负责人: Ryan Hill
• 金额: $ 18.21万
• 依托单位: LOUISIANA STATE UNIV A&M COL BATON ROUGE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10665074
• 关键词: Accident and Emergency department; Adolescent; Area; Behavior; Behavioral Risk Factor Surveillance System; Catchment Area; Cause of Death; Censuses; Centers for Disease Control and Prevention (U.S.); Clinical; Communities; Community Developments; Complex; Crime; Criminal Justice; Data; Data Set; Data Sources; Databases; Development; Economics; Electronic Health Record; Electronics; Evaluation; Fatality rate; Feeling suicidal; Geographic Information Systems; Geography; Goals; Health; Health Services; Healthcare; Hospitals; Individual; Intervention; Knowledge; Maps; Methodology; Methods; Modeling; Monitor; National Institute of Mental Health; Neighborhoods; Outcome; Pediatric Hospitals; Population Surveillance; Prevalence; Prevention approach; Prevention program; Prevention strategy; Preventive service; Procedures; Property; Psychometrics; Public Health; Risk; Risk Estimate; Risk Factors; Risk Reduction; Safety; Secondary to; Services; Severities; Statistical Methods; Strategic Planning; Suicide; Suicide attempt; Suicide prevention; System; Texas; Translating; United States; United States Centers for Medicare and Medicaid Services; United States National Institutes of Health; Youth; clinical development; data integration; experience; follow-up; health care settings; ideation; improved; information system analysis; innovation; metropolitan; novel; population health; preventive intervention; prospective; protective factors; public health intervention; screening; socioeconomics; suicidal adolescent; suicidal behavior; suicidal risk; suicide rate; supportive environment; tool

PROJECT SUMMARY Suicide is the second leading cause of death among adolescents in the United States.34 The National Strategy for Suicide Prevention calls for the development of community preventive services that will reduce the risk for suicidal behaviors.1 Yet there is a substantial gap in our knowledge of community level variables associated with suicide risk.2 A critical next step toward developing community suicide prevention approaches is the identification of modifiable target mechanisms for use in public health interventions. Our objective in this proposal is to identify modifiable candidate mechanisms associated with suicide risk at the neighborhood level. Our team has proposed and examined a statistical method for identifying localized areas with elevated rates of suicidal ideation and attempts within the community, the Geospatial Identification of Elevated Suicide Risk (GIESR) method. The GIESR method capitalizes on routine suicide risk screening conducted within healthcare settings. GIESR draws on electronic health records data to map the prevalence of suicide ideation and attempts within a defined geographic catchment area. Further evaluation of the GIESR model, to replicate and extend this methodological approach, will support the identification of neighborhood level risk and protective factors for youth suicidal ideation and attempts. The project has two primary aims: Aim 1 will replicate and extend the GIESR method to evaluate its psychometric properties and to create an implementation guide, so that GIESR can be independently replicated and used by others for the development of community-based suicide prevention programs. The GIESR method will be examined using data from Texas Children’s Hospital and mapping youth suicide risk within the greater Houston metropolitan area. In Aim 2, we will apply the GIESR method to identify risk and protective factors associated with rates of youth suicide ideation and attempts at the neighborhood level. Aim 2 includes the merging of multiple public health focused data sets, including socioeconomic, crime, and safety data, along with spatial mapping data and data generated by GIESR, to allow the identification of salient risk and protective factors for suicide at the community level. This proposal advances the goals of the NIMH Strategic Plan, Goal 4, Strategy 4.1, to utilize “electronic health records… to identify mutable targets for improving service access, delivery, and outcomes” and to promote data- driven approaches to identify novel targets for preventive interventions.33 Findings will inform use of the GIESR method to identify areas of elevated risk in other communities and will inform the development of community- based suicide prevention efforts targeting identified risk and protective factors.

项目摘要 自杀是美国青少年的第二大死亡原因。34国家战略 预防自杀呼吁开发社区预防服务，以降低风险 1对于自杀行为。1然而，我们对社区层面变量相关的知识存在很大的差距 2自杀风险。2朝着开发社区自杀预防方法的关键下一步是 识别可修改的目标机制用于公共卫生干预措施。我们的目标 建议是确定与自杀风险相关的可修改候选机制 邻里水平。我们的团队提出并检查了一种统计方法，以识别本地化领域 随着自杀念头的提高和社区内的尝试，地理空间识别 自杀风险升高（GIESR）方法。 GIESR方法大写了常规自杀风险筛查 在医疗保健环境中进行。 GIESR利用电子健康记录数据来映射 自杀构想和在定义的地理集水区域内的尝试。 GIESR的进一步评估 模型，复制和扩展这种方法论方法，将支持识别 邻里水平的风险和保护性因素，用于青年自杀构想和尝试。 该项目有两个主要目的：AIM 1将复制并扩展GIESR方法以评估其 心理测量属性并创建实施指南，以便可以独立复制GIESR 并由他人用于制定基于社区的自杀计划。 GIESR方法 将使用得克萨斯州儿童医院的数据进行检查，并在更大的情况下绘制青年自杀风险 休斯顿都会区。在AIM 2中，我们将应用GIESR方法来识别风险和保护因素 与青年自杀率的想法和在邻里一级的尝试相关。 AIM 2包括 以社会经济，犯罪和安全数据在内的多个以公共卫生为中心的数据集合并的合并 使用GIESR生成的空间映射数据和数据，以识别显着风险和保护性 在社区层面自杀的因素。 该提案促进了NIMH战略计划的目标，目标4，战略4.1，利用“电子健康 记录…确定可变化的目标以改善服务访问，交付和结果”并促进数据 - 识别预防干预措施的新型目标的驱动方法。33调查结果将为GIESR提供信息 确定其他社区风险升高的方法，并将告知社区的发展 - 针对确定风险和受保护因素的基于自杀的预防努力。