Social Media Signals for reducing Perinatal Death by Suicide

减少围产期自杀死亡的社交媒体信号

基本信息

批准号：
10575210
负责人：
IAN Moore BENNETT
金额：
$ 23.92万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-02-17 至 2028-01-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10575210
关键词：
Address Agreement Ambulatory Care Facilities Back Behavior Caring Cause of Death Characteristics Clinic Clinical Critical Pathways Data Collection Detection Development Devices Ecological momentary assessment Enrollment Evaluation Feeling suicidal Future Goals Health Personnel Individual Intervention Low income Medical Mental Depression Methodology Methods Monitor Outcome Outpatients Pathway interactions Patient-Focused Outcomes Patients Perinatal mortality demographics Pilot Projects Population Population Heterogeneity Populations at Risk Prevention Research Primary Health Care Process Provider Recurrence Reporting Research Resources Risk Self Efficacy Signal Transduction Site Sleep Disorders Source Suicide Suicide prevention Symptoms System Technology Therapeutic Training United States Visit Vulnerable Populations Work acceptability and feasibility age group aged care delivery clinical care clinically actionable clinically relevant coping design digital ethnic diversity evidence base health care settings high risk human centered design implementation evaluation improved innovation medical delivery system mortality patient-level barriers point of care preventable death primary care clinician primary care services primary care setting prospective prototype racial diversity response risk prediction screening shared decision making social media suicidal morbidity suicidal risk tool usability young adult

项目摘要

ABSTRACT. Death by suicide is the 2nd leading cause of death among young adults in the United States. While most patients who die by suicide have had recent contact with their health care providers, the medical delivery system is poorly equipped to address this preventable issue. Risk of suicide is not detected or addressed in the majority of cases, particularly in health care settings serving low income and racially and ethnically diverse populations. In this R34 study we utilize human centered design (HCD) supported by the Center Methods Core to study how Ecological Momentary Assessment (EMA) based signals of suicide risk can be utilized in primary health care for Risk Detection, Assessment, Shared Decision-Making and Long-Term Surveillance. Patient and provider partner input is needed to design a system that has utility to the care of this population. EMA systems show promise as indicators of suicide risk and a means of enhancing existing resources in the primary care setting. However, little is known about how to apply these methods in the context of clinical care, nor is it apparent to what extent patients would agree to use EMA for risk prediction and monitoring. Through principles of HCD we propose to create a clinically actionable pathway for EMA derived signals of suicide risk that is acceptable to both young adult patients and their health care providers. We plan to carry out two specific aims to address this issue: (Aim 1) co-design a suicide risk monitoring system, Augmented Momentary Personal Ecological Risk Evaluation (AMPERE), with patients and health care providers through HCD and (Aim 2) conduct a pilot study of acceptability and usability of the prototype AMPERE suicide risk detection and response system as well as patient outcomes and our putative mechanisms of patient and provider self-efficacy and therapeutic alliance. Our goal in this study is to co-design a critical pathway for EMA from an innovative evidence-based suicide risk detection strategy to an acceptable and usable clinical tool that has potential for other effective risk detection strategies to follow.

抽象的。自杀死亡是美国年轻人的第二大死因。虽然大多数自杀身亡的患者最近与他们的医疗保健提供者有过接触，但医疗机构交付系统的装备很差，无法解决这一可预防的问题。未发现自杀风险或在大多数情况下都得到解决，特别是在为低收入和种族和种族服务的医疗机构中种族多样化的人口。在这项 R34 研究中，我们利用以人为本的设计 (HCD)，并得到中心方法核心研究基于生态瞬时评估（EMA）的自杀风险信号如何用于初级卫生保健中的风险检测、评估、共同决策和长期监视。需要患者和提供者合作伙伴的投入来设计一个对此具有实用性的系统人口。 EMA 系统显示出作为自杀风险指标和增强现有手段的前景。初级保健机构的资源。然而，人们对如何在上下文中应用这些方法知之甚少。临床护理的有效性，也不清楚患者在多大程度上同意使用 EMA 进行风险预测和监控。通过 HCD 原则，我们建议为 EMA 衍生创建一个临床可行的途径年轻成年患者及其医疗保健提供者都可以接受的自杀风险信号。我们计划实现两个具体目标来解决这个问题：（目标1）共同设计自杀风险监测系统，增强型瞬时个人生态风险评估 (AMPERE)，涉及患者和医疗保健提供商通过 HCD 和（目标 2）对原型的可接受性和可用性进行试点研究 AMPERE 自杀风险检测和响应系统以及患者结果和我们的假设患者和提供者自我效能和治疗联盟的机制。我们这项研究的目标是共同设计 EMA 从创新的基于证据的自杀风险检测策略到可接受的自杀风险检测策略的关键途径以及可用的临床工具，有可能遵循其他有效的风险检测策略。