Mobile RDoC: Using Smartphone Technology to Understand Auditory Verbal Hallucinations
移动 RDoC:使用智能手机技术理解听觉言语幻觉
基本信息
- 批准号:9899714
- 负责人:
- 金额:$ 14.58万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-07-05 至 2021-04-30
- 项目状态:已结题
- 来源:
- 关键词:AdvertisementsAffectAffectiveAnxietyAreaAuditoryAuditory PerceptionBehaviorBehavioralCaringCategoriesCellular PhoneClinicalCognitiveCommunitiesDataData CollectionDepressed moodDevelopmentDiagnosticDistressEcological momentary assessmentEnrollmentEnsureEventFacebookFrequenciesImpairmentIndividualInpatientsLeadMeasuresMediatingMediationMental HealthMethodologyMethodsModelingNormal RangeOutcomeOutpatientsParticipantPathologicPatient RecruitmentsPatient Self-ReportPersonsPhysical activityPopulationPredispositionPrevention strategyPsychopathologyPsychotic DisordersReportingResearchResearch Domain CriteriaSamplingSeveritiesSystemTechniquesTechnologyTestingTimeVerbal Auditory HallucinationsWithdrawalbasebehavior measurementbehavioral responsecontextual factorscost effectivedemographicsdigitalexperiencefunctional disabilityinnovationinnovative technologiesinterestmultidisciplinarymultimodalitynegative affectnovelonline communityphenomenological modelsprocess optimizationrecruitself reported behaviorsocialsocial mediatime use
项目摘要
Project Summary
Auditory Verbal Hallucinations (AVH) occur in the context of a range of mental health conditions as well
as in individuals who are otherwise considered healthy. AVH lead to significant distress, impairment, and need
for care in some, but not others. The RDoC framework is ideally suited to better understand the
phenomenology of AVH as they may be part of a continuum of psychotic experience ranging from “normal” to
pathological. Building on the principles of the RDoC framework, the proposed project focuses on AVH as part
of the broader construct of Auditory Perception and leverages an integrative multi-method paradigm leveraging
measures from two RDoC units of analysis: Self-Report and Behavior. Our multidisciplinary investigative team
proposes to use integrated mobile data collection techniques that we have piloted extensively (Ecological
Momentary Assessment for self-report and automated multi-modal sensing to capture behavior) to study AVH
experience and associated behaviors, as they occur in real-time/real-place in people with and without need for
care. We propose to use innovative online and community-based participant recruitment strategies that we
have piloted in relevant populations to enroll a clinically diverse sample of individuals with AVH. Participants
will be provided with an integrated smartphone data collection system and will actively self-report AVH
experiences and associated variables as they occur in real-time using EMA. Smartphones will also passively
collect multi-modal behavioral sensing data continuously. We will combine both forms of data to examine the
extent to which temporal relationships between self-reported AVH and behavioral measures vary across both
groups. Specifically, we aim to: evaluate whether clinical status is associated with how AVH is experienced in
real- time/real-place; examine relationships between demographic, functional, and immediate social/contextual
factors and AVH; and test time-varying relationships posited in a cognitive model of psychosis between AVH
appraisal, affect, and behavioral response. The study will advance our understanding of the phenomenology of
AVH and move us closer to understanding why some develop impairment and need for care, while others do
not. Findings may help inform the subsequent development of prevention strategies for subclinical populations
so they do not progress in the psychotic trajectory, as well as inform more targeted treatments for individuals
who already require treatment. If successful, the project will demonstrate the utility of applying the RDoC
framework and integrated methodological approach in psychosis research.
项目概要
幻听 (AVH) 也会在一系列心理健康状况下发生
对于那些被认为是健康的人来说,AVH 会导致严重的痛苦、损害和需求。
RDoC 框架非常适合更好地理解这一点。
AVH 的现象学,因为它们可能是从“正常”到“正常”的精神病体验连续体的一部分
基于 RDoC 框架的原则,拟议项目重点关注 AVH 作为一部分。
听觉感知的更广泛的构造,并利用集成的多方法范式
来自两个 RDoC 分析单元的测量:自我报告和行为我们的多学科调查团队。
建议使用我们主要试点的综合移动数据收集技术(生态
用于自我报告和自动多模式传感捕获行为的瞬时评估)以研究 AVH
体验和相关行为,因为它们实时/真实地发生在人们身上,无论是否需要
我们建议使用创新的在线和基于社区的参与者招募策略。
已在相关人群中进行试点,招募临床多样化的 AVH 参与者样本。
将配备集成的智能手机数据收集系统,并将主动自我报告 AVH
使用智能手机实时发生的体验和相关变量也将被动地发生。
我们将不断收集多模态行为感知数据,以结合两种形式的数据来检查。
自我报告的 AVH 和行为测量之间的时间关系在多大程度上存在差异
具体来说,我们的目标是: 评估临床状态是否与 AVH 的经历相关。
实时/真实地点;检查人口统计、功能和即时社交/情境之间的关系
因素和 AVH;并测试 AVH 之间精神病认知模型中假设的随时间变化的关系
这项研究将增进我们对现象学的理解。
AVH 使我们更进一步了解为什么有些人会出现障碍并需要护理,而另一些人则会出现障碍
研究结果可能有助于为亚临床人群的预防策略的后续制定提供信息。
因此它们不会在精神病轨迹上取得进展,也不会为个人提供更有针对性的治疗
如果成功,该项目将展示应用 RDoC 的效用。
精神病研究的框架和综合方法论。
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)
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{{ truncateString('Dror Ben-Zeev', 18)}}的其他基金
Combining mHealth and nurse-delivered care to improve the outcomes of people with seriousmental illness in West Africa
将移动医疗与护士提供的护理相结合,改善西非严重精神疾病患者的治疗结果
- 批准号:
10533529 - 财政年份:2022
- 资助金额:
$ 14.58万 - 项目类别:
Combining mHealth and nurse-delivered care to improve the outcomes of people with seriousmental illness in West Africa
将移动医疗与护士提供的护理相结合,改善西非严重精神疾病患者的治疗结果
- 批准号:
10676949 - 财政年份:2022
- 资助金额:
$ 14.58万 - 项目类别:
Implementing mHealth for Schizophrenia in Community Mental Health Settings
在社区心理健康环境中实施精神分裂症移动医疗
- 批准号:
10533730 - 财政年份:2019
- 资助金额:
$ 14.58万 - 项目类别:
Implementing mHealth for Schizophrenia in Community Mental Health Settings
在社区心理健康环境中实施精神分裂症移动医疗
- 批准号:
10063048 - 财政年份:2019
- 资助金额:
$ 14.58万 - 项目类别:
Implementing mHealth for Schizophrenia in Community Mental Health Settings
在社区心理健康环境中实施精神分裂症移动医疗
- 批准号:
10311085 - 财政年份:2019
- 资助金额:
$ 14.58万 - 项目类别:
Mobile RDoC: Using Smartphone Technology to Understand Auditory Verbal Hallucinations
移动 RDoC:使用智能手机技术理解听觉言语幻觉
- 批准号:
9924681 - 财政年份:2017
- 资助金额:
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A New Paradigm for Illness Monitoring and Relapse Prevention in Schizophrenia
精神分裂症疾病监测和复发预防的新范式
- 批准号:
8640521 - 财政年份:2013
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A New Paradigm for Illness Monitoring and Relapse Prevention in Schizophrenia
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- 批准号:
9119612 - 财政年份:2013
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$ 14.58万 - 项目类别:
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开发精神分裂症自我管理移动系统(SOS)
- 批准号:
8488042 - 财政年份:2013
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$ 14.58万 - 项目类别:
A New Paradigm for Illness Monitoring and Relapse Prevention in Schizophrenia
精神分裂症疾病监测和复发预防的新范式
- 批准号:
8743296 - 财政年份:2013
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$ 14.58万 - 项目类别:
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