Technology assisted treatment for trichotillomania
Technology assisted treatment for trichotillomania
批准号:
9622448
负责人:
Sameer Kumar
金额:
$19.92万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-06-21 至 2020-05-31
关键词:
AddressAdultAlgorithmsArticular Range of MotionAwarenessBehaviorBehavior TherapyCatalogsDataDetectionDevice or Instrument DevelopmentDevicesDiseaseEducational process of instructingElementsEnsureEvidence based interventionExcisionEyebrow structureFeedbackFocus GroupsGesturesGoalsHabitsHairHumanImpairmentIndividualMethodsMotionMotivationNational Institute of Mental HealthOccupationalOutcomePatientsPatternPersonsPharmacologyPhasePlayProcessProtocols documentationPublic HealthRandomized Controlled TrialsResearchSelf-AdministeredStrategic PlanningSurveysSystemTechnologyTestingTherapeuticTherapeutic EffectThinnessTimeTrainingTreatment EfficacyTrichotillomaniaVariantWell in selfWood materialWristbasecomparison groupcostdesigneffective therapyefficacy studyimprovedmobile applicationnovelpilot trialpsychologicresponsesensorsmartphone Applicationsocialsuccessusabilityuser-friendly
中文摘要
摘要
意义:拔毛症(TTM),特征是反复将头发拉到
脱发或脱发,会在身体、社会、心理和心理上造成损害
职业功能。对于患有TTM的患者,经验支持的治疗方案是
严重受限。在被证明有效的治疗中,行为疗法是有效的。不幸的是,
行为疗法的局限性在于培养对拉扯残骸的实时意识
具有挑战性的是,缺乏广泛的可用性,而且通常成本很高。
假设:假设一种新的手腕佩戴设备和应用程序系统可以用于
提供习惯逆转疗法,这是行为疗法的关键组成部分,用于治疗毛发狂症。这个
设备,使用复杂的运动传感器和算法,可以被训练来检测
个人的拉动行为,从而实时增强意识。此外,它还可以检测到
通过用户友好、功能丰富的移动应用程序进行竞争回应并建立动力。
初步数据:调查组的设备可以记录和检测运动和
方向,代表拔毛行为,可靠,每台机器测试。此外,在
一个人,玩眉毛的行为在90%的病例中可靠地被检测到
类似行为的假阳性率可接受(30%)。
具体目标1:该设备准确检测TTM相关行为的能力将是
已建立并经过验证。团队将(1)编目并记录进入
与TTM相关的拉动,以及(2)细化和测试设备的能力,以准确检测
模拟和人体测试中的运动
具体目标2:独立开发HabitAware设备和附带的应用程序
利用由专家通知的迭代过程提供自我管理的HRT的系统
最终用户临床医生和TTM患者。
具体目标3:团队将进行初步可行性、可用性和可接受性测试
用于确定第二阶段提案的下一步和进展情况的设备。
长期目标:我们的目标是开发一个用户友好、可广泛使用和负担得起的系统
这有助于通过一种提供拉扯实时感知的设备来治疗毛发狂症
Behavior和一个整合了现有行为治疗协议元素的移动应用程序。
英文摘要
Abstract
Significance: Trichotillomania (TTM), characterized by repeated pulling of one’s hair to the
point of hair loss or thinning, produces impairment in physical, social, psychological and
occupational functioning. Empirically supported treatment options for those with TTM are
seriously limited. Among treatments shown to be effective is behavior therapy. Unfortunately,
behavior therapy is limited in that developing real-time awareness of pulling remains
challenging, there is a lack of widespread availability, and it typically has high cost.
Hypothesis: It is hypothesized that a novel wrist-worn device and app system can be used to
deliver Habit Reversal Therapy, a key component of behavior therapy, for trichotillomania. The
device, using sophisticated motion sensors and algorithms, can be trained to detect an
individual’s pulling behavior and thus augment awareness in real-time. Further, it can detect a
competing response and build motivation via a user-friendly, feature rich mobile application.
Preliminary Data: The investigative team’s device can record and detect a motion and
orientation, representative of hair pulling behavior, reliably, per machine testing. Additionally, in
one individual, a behavior of playing with eyebrows was reliably detected in >90% of cases with
an acceptable rate (30%) of false positives for similar behaviors.
Specific Aim 1: The ability of the device to accurately detect TTM-related behavior will be
established and validated. The team will (1) catalog and record the range of motions that go into
TTM-related pulling, and (2) refine and test the capacity of the device to accurately detect the
motions in both simulated and human tests
Specific Aim 2: Develop the HabitAware device and accompanying app as a stand-alone
system for delivering self-administered HRT, utilizing an iterative process informed by expert
end-user clinicians and persons with TTM.
Specific Aim 3: The team will conduct an initial feasibility, usability and acceptability test of the
HabitAware device to determine next steps and progress to a Phase II proposal.
Long-Term Goal: We aim to develop a user-friendly, widely accessible and affordable system
that helps treat trichotillomania via a device that provides real-time awareness of pulling
behavior and a mobile app that incorporates elements of existing behavior therapy protocols.
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会议论文
Technology Assisted Treatment for Binge Eating Behavior
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批准号:10603975
-
项目类别:
-
资助金额:$42.02万
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财政年份:2023
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负责人:Sameer Kumar
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依托单位:
海外基金