Development and testing of a digitally assisted risk reduction platform for youth at high risk for suicide

为自杀高危青少年开发和测试数字辅助风险降低平台

• 批准号: 10509791
• 负责人: Phillip Antony Scripa
• 金额: $ 30.34万
• 依托单位: KSANA HEALTH, INC.
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2023-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10509791
• 关键词: 18 year old; Address; Adherence; Administrator; Adolescent; Adoption; Anhedonia; Behavioral; Businesses; Caring; Cause of Death; Cellular Phone; Child; Client; Clinic; Clinical Management; Clinical Services; Communication Tools; Computer software; Continuity of Patient Care; Data; Development; Devices; Distal; Effectiveness; Electronic Health Record; Feedback; Feeling suicidal; Gatekeeping; Grant; Health; Health Insurance Portability and Accountability Act; Health Services; Healthcare; Healthcare Systems; Hospitals; Individual; Intervention; Licensing; Literature; Medical center; Mental Health Services; Methods; New York; Oregon; Outpatients; Patient Care; Patients; Persons; Phase; Pragmatic clinical trial; Presbyterian Church; Prevention approach; Prevention program; Prevention strategy; Preventive healthcare; Process; Program Evaluation; Psyche structure; Randomized Clinical Trials; Research; Risk; Risk Factors; Risk Reduction; Services; Sleep; Sleep disturbances; Small Business Innovation Research Grant; Source; Special Equipment; Substance Use Disorder; Suicide; Suicide prevention; System; Technology; Technology Transfer; Testing; Training; Transfer Agreement; United States National Institutes of Health; Universities; Withdrawal; Youth; arm; base; behavioral health; behavioral outcome; care providers; digital; digital mental health; effectiveness clinical trial; effectiveness evaluation; emotional distress; experience; feasibility trial; health care service organization; high risk; high-risk adolescents; implementation fidelity; implementation framework; improved; indicated prevention; intervention effect; mobile application; mobile sensing; outpatient programs; preventive intervention; psychological distress; research study; selective prevention; sensor; service delivery; smartphone Application; suicidal; suicidal behavior; suicidal risk; technology development; technology research and development; tool; treatment as usual; usability; user centered design

ABSTRACT Despite efforts to prevent suicide, US rates are climbing, and suicide is the second leading cause of death amongst youth. Although promising approaches are available for preventative interventions with youth at-risk for suicide, they demonstrate modest benefit, and recent reviews have concluded that new developments are required that facilitate not only greater effectiveness, but also enhance treatment engagement, adherence, and continuity of care amongst these young people. Digital tools, especially personal smartphones, are promising avenues to address these issues and can be used to provide a unique understanding of proximal risk factors, including psychological distress, anhedonia and behavioral withdrawal, and sleep disturbance amongst high- risk individuals. Furthermore, digital methods can provide ongoing supportive patient contact to support the reduction of suicide risk. The overall aim of this Fast-track SBIR proposal is to enhance the effectiveness of selective and indicated prevention for youth who are received outpatient mental health care by developing and testing a comprehensive digital platform that allows practitioners to integrate objective mobile sensing and HIPAA compliant client communication tools into their management of these young people. We have developed an initial MVP version of these products, and in Phase I will utilize user-centered design principles to enhance the product fit with typical service delivery systems found in healthcare organizations working with high-risk individuals (i.e., intensive outpatient services). The aim of Phase II is to further optimize these products and conduct a pragmatic clinical trial of the effectiveness, feasibility, and acceptability of the products in a real world intensive outpatient clinical service. We will utilize the data generated by this trial to improve adoption, implementation fidelity, and sustained use of these tools, guided by an implementation science framework.

摘要