Optimizing Technology Interventions for Help-Seeking for Depression and Suicidality in Sexual and Gender Minority Youth
优化技术干预措施,帮助性和性别少数青年寻求抑郁和自杀倾向
基本信息
- 批准号:10487524
- 负责人:
- 金额:$ 19.88万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-10 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
A. Abstract
Only one-third of adolescents access treatment for depression, and many fail to interact with clinic-based men-
tal health resources. Sexual and gender minority youth (SGMY) are at greater risk for severe mental health
disorders and suicidality but even less likely to access mental health services, even when access is available.
Widespread factors – stigma, negative beliefs about treatment, lack of mental health knowledge - contribute to
not seeking services. Mainstream mental health interventions fail to address unique factors to SGMY that in-
hibit help-seeking: double stigma (stigma around mental health as well as internalized homophobia and tran-
sphobia), concern about revealing SGM status, low family support, lack of access to SGM affirming mental
health professionals. Despite being hard-to-reach, SGMY at risk for depression are quite active online. Yet
SGMY-specific evidence-based online interventions are lacking and community interventions do not enhance
mental health help-seeking. Targeted online interventions are needed to address unique factors which prevent
help-seeking but are themselves usable and engaging. The current proposal will use a user-informed efficient
approach to technology intervention design considering the heterogeneity and specific needs of SGMY. We will
use the Behavioral Intervention Technology Model to design and study several intervention principles (IPs), or
theoretical concepts including intervention aims and behavioral strategies, to understand which mechanisms of
action hold promise while being iterating design and potential modalities. We will use human computer interac-
tion (HCI) framework, Discover, Design/Build, and Test to develop and study several IPs. Specifically we will
(1a) conduct an internet-based qualitative study in SGMY to explore current use of online tools, perspectives
on intervention targets (e.g. negative attitudes like stigma, social support, knowledge), and preferences for IP
components and delivery modalities, (1b) use HCI techniques to develop initial prototypes and seek iterative
user feedback and (2) evaluate 4 finalized low-fidelity prototypes using a factorial trial to understand each IP
prototype’s individual and combined feasibility, usability, acceptability, and change in help-seeking intention in
an online sample of diverse (racially, ethnically, age, gender identity, sexual orientation) SGMY. This will inform
the development of a high-fidelity intervention which may include different components for specific SGMY sub-
groups to be evaluated in a larger clinical trial. The PI, Dr. Radovic, is a physician researcher in adolescent
medicine and has conducted years of research using stakeholder-informed methods and HCI techniques to
inform intervention development. By working with experts in SGM health, stakeholder engagement, interven-
tion design, qualitative analysis, HCI design, and BIT development and testing, we have an exciting opportunity
to bridge the gap for SGM adolescents with depression and suicidality to motivate them to and equip them with
the tools they need to access treatment. This proposal is responsive to NOT-MH-18-031 by conducting nimble
iterative testing and NOT-MD-19-001 - testing stigma reduction interventions.
A.摘要
只有三分之一的青少年可以接受抑郁症的治疗,许多人未能与基于诊所的男性相互作用 -
TAL健康资源。性和性别少数青年(SGMY)面临严重心理健康的风险
疾病和自杀性,但即使有可用的访问,也不太可能获得心理健康服务。
广泛的因素 - 污名,对治疗的负面信念,缺乏心理健康知识 - 有助于
不寻求服务。主流心理健康干预措施无法解决对SGMM的独特因素
寻求帮助:双重污名(围绕心理健康以及内在的同性恋恐惧症和tran-的污名
SPHOBIA),担心揭示SGM状况,家庭支持低,无法获得SGM影响精神
卫生专业人员。尽管难以触及,但处于抑郁症风险的SGMY在网上仍然很活跃。然而
缺乏基于SGMY的特定循证在线干预措施,社区干预不会增强
心理健康帮助。需要针对的在线干预措施来解决阻止的独特因素
寻求帮助,但本身是可用和引人入胜的。当前建议将使用用户信息有效
考虑SGMY的异质性和特定需求的技术干预设计方法。我们将
使用行为干预技术模型设计和研究多种干预原则(IP)或
理论概念在内,包括干预目的和行为策略,以了解哪些机制
行动在迭代设计和潜在方式的同时保持承诺。我们将使用人类计算机Interac-
(HCI)框架,发现,设计/构建和测试以开发和研究多个IP。特别是我们会的
(1a)在SGMY中进行基于互联网的定性研究,以探索当前在线工具的使用,观点
关于干预目标(例如,污名,社会支持,知识等负面参与)和IP的偏好
组件和交付方式,(1B)使用HCI技术来开发初始原型并寻求迭代
用户反馈和(2)使用阶乘试验评估4个最终确定的低保真原型,以了解每个IP
原型的个人且合并的可行性,可用性,可接受性和寻求帮助意图的变化
一个在线样本,包括多样化(种族,年龄,性别认同,性取向)SGMY的样本。这将告知
高保真干预的发展,该干预措施可能包括特定SGMY子的不同组成部分
在较大的临床试验中进行评估的组。 PI,Radovic博士是青少年的物理研究人员
医学并使用利益相关者信息的方法和HCI技术进行了多年的研究
为干预开发提供信息。通过与SGM Health,利益相关者参与,介入专家合作 -
设计,定性分析,HCI设计以及位开发和测试,我们有一个令人兴奋的机会
弥合SGM青少年患有抑郁和自杀的差距,以激励他们并为他们配备
他们需要获得治疗所需的工具。该提案通过进行敏捷而对NOT-MH-18-031有反应
迭代测试和非MD-19-001-测试污名降低干预措施。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

暂无数据
数据更新时间:2024-06-01
Ana Radovic-Staki...的其他基金
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- 批准号:1055260110552601
- 财政年份:2022
- 资助金额:$ 19.88万$ 19.88万
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- 批准号:1037079610370796
- 财政年份:2022
- 资助金额:$ 19.88万$ 19.88万
- 项目类别:
Optimizing Technology Interventions for Help-Seeking for Depression and Suicidality in Sexual and Gender Minority Youth
优化技术干预措施,帮助性和性别少数青年寻求抑郁和自杀倾向
- 批准号:1030124210301242
- 财政年份:2021
- 资助金额:$ 19.88万$ 19.88万
- 项目类别:
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