Social Media Intervention for OnLinE Victimized Youth

对在线受害青少年的社交媒体干预

• 批准号: 10631241
• 负责人: César Gabriel Escobar-Viera
• 金额: $ 15.53万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-17 至 2027-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10631241
• 关键词: Address; Adolescence; Adolescent; Artificial Intelligence; Attention; Behavior; Behavior assessment; Black race; Caregivers; Caring; Childhood; Computer software; Consolidated Framework for Implementation Research; Data; Development; Discrimination; Distress; Early Diagnosis; Early Intervention; Education; Effectiveness; Eligibility Determination; Enrollment; Equity; Exclusion; Exhibits; Exposure to; Feedback; Feeling suicidal; Frequencies; Friends; Health; Health Services; Image; Intervention; Interview; Link; Loneliness; Measures; Mental Depression; Mental Health; Methods; Minority Groups; Online Systems; Outcome; Participant; Patients; Perception; Primary Care; Provider; Race; Racial Equity; Randomized; Research; Resources; Risk; Risk Behaviors; Rural; Self Efficacy; Self Management; Services; Severities; Sexual and Gender Minorities; Sexual and Gender Minority Youth; Source; Suicide prevention; Technology; Testing; Text; Victimization; Voice; Work; Writing; Youth; acceptability and feasibility; adolescent suicide; aged; automated intervention; behavioral health; chatbot; child and adolescent victimization; child depression; coping; depressive symptoms; digital; distress tolerance; experience; health disparity; human centered design; implementation facilitators; implementation framework; improved; iterative design; medical specialties; minority children; mobile sensing; novel; online intervention; patient engagement; peer influence; preference; prevent; primary care provider; programs; psychoeducation; psychoeducational; psychoeducational intervention; randomized trial; response; secondary outcome; social; social media; suicidal; suicidal adolescent; suicidal behavior; suicidal risk; therapy development; trial comparing; usability

The objective of this research is to evaluate the feasibility of an automated intervention delivered via a social media-based chatbot to reduce online victimization detected in primary care and prevent depression and suicidal thoughts and behaviors (STBs) among adolescents with subsyndromal depressive symptoms, with special attention to the needs of Black and sexual and gender minority (SGM) youth. Online victimization (OV) (i.e., disparaging remarks, symbols, images, or behaviors that inflict harm in online spaces) frequently occurs on social media, and is directly linked to depression and suicidal ideation, which in turn associate with near-term suicide risk. OV peaks during adolescence and it is especially prevalent among minority adolescents; over half of Black youth experience a form of race-based online victimization involving derogation or exclusion, and SGM youth experience OV at three times the rate of non-SGM youth. Early detection and intervention on OV has potential to improve health during adolescence and prevent longer-term negative effects. Primary care providers (PCPs) recognize that OV is common among their patients, but practical barriers inhibit their capacity for response. Chatbots are software programs that use artificial intelligence to simulate conversation with a user via text, voice, or video, and can be deployed on social media, SMS, or can be web-based. A chatbot that responds to OV identified in primary care could extend PCPs’ capacity to help youth with OV through an automated intervention. We propose to develop and evaluate SMILEY, a chatbot-delivered intervention deployed on social media that will reduce OV frequency and intensity of distress (factors associated with depressive severity and suicidal ideation) among online-victimized adolescents with subsyndromal depressive symptoms identified in primary care. To inform intervention development, we will apply the Consolidated Framework for Implementation Research (CFIR) to the conduct of qualitative interviews to identify perceptions and preferences regarding a chatbot-delivered intervention for online victimization. We will then use human-centered design methods to develop, evaluate, and iterate SMILEY. We will then conduct a randomized trial comparing SMILEY vs. a brief psychoeducational intervention among recently victimized adolescents with subsyndromal depression. Together, these aims will provide data regarding a novel chatbot intervention that may hold promise to fill a critical gap in services for adolescents experiencing online victimization and meaningfully advance suicide prevention for vulnerable youth. We aim to develop an intervention that is acceptable and feasible for minoritized youth, specifically Black and SGM youth, who are especially vulnerable to experience online victimization, thus addressing a source of health disparities in these youth.

本研究的目的是评估通过社交网络进行自动干预的可行性