Promoting Effective Self-Management of Chronic Pain with mHealth Neurofeedback
通过移动健康神经反馈促进慢性疼痛的有效自我管理
基本信息
- 批准号:10364125
- 负责人:
- 金额:$ 40.25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-05-16 至 2027-03-31
- 项目状态:未结题
- 来源:
- 关键词:18 year oldAdultAlprostadilAmericanAutonomic nervous systemBiofeedbackBiometryBluetoothBrainChronicClinicClinic VisitsClinical TrialsDataDevelopmentDevicesDouble-Blind MethodElectroencephalogramEnvironmentEquilibriumFamilyGoalsHealthHealth TechnologyHomeIndividualInterventionLifeLinkMeasuresMediatingMedicalMobile Health ApplicationNamesOccupationalOutcomePainPain ClinicsPain ResearchPain intensityPain interferencePain managementParticipantPatient EducationPatientsPersonsPharmacological TreatmentPharmacologyPhysical FunctionPhysiologicalPlacebo ControlPlacebo Control EffectPlacebosQuality of lifeRandomizedRandomized Controlled TrialsRelaxationReportingResearchResearch PersonnelRiskRoleSelf EfficacySelf ManagementSerious Adverse EventSignal TransductionSpeedTestingTimeTouch sensationTrainingTraining SupportTranslatingTravelUnited States National Institutes of HealthUniversitiesWalkingauditory feedbackbarrier to carechronic painchronic pain managementchronic pain patientcomparison groupcosteffective therapyeffectiveness testingemotional distressfoothandheld mobile deviceimprovedimproved functioninginnovationmHealthmHealth self-managementmeetingsmobile applicationneurofeedbacknovelopioid abusepain outcomepain reductionpain self-managementpatient registryportabilityrandomized trialsafe patientsocialsymptom self managementtoolvalidation studies
项目摘要
ABSTRACT
One in five Americans has chronic pain. Many pharmacological pain interventions exist but increase risk of opioid
abuse. There is a critical need to find safe, accessible, and effective treatments for patients to self-manage pain.
Neurofeedback, or electroencephalogram (EEG) biofeedback, treats pain by training patients to regulate brain
states linked to physiological relaxation. Although neurofeedback has traditionally required travel to clinics, in
the past decade, portable EEG headsets have been validated that read brainwaves and send signals via
Bluetooth to mobile devices. We developed a mobile health (mHealth) platform enabling patients with chronic
pain to conduct neurofeedback at home to self-manage pain. Patients with chronic pain, most with low back pain,
were able to conduct mobile neurofeedback independently, and after three months of use, reported significantly
lower pain intensity and lower pain interference. In the current R01 application, we will conduct a double-blind
randomized controlled trial to test the effects of mobile neurofeedback on pain outcomes. N=150 adults with
chronic low back pain will be randomly assigned to mobile neurofeedback or a placebo-control condition. Each
participant will receive a portable EEG headset and mobile device outfitted with a mobile application (app) called
‘Mobile Neurofeedback’ and be asked to complete 10-minute sessions at least 4 days per week for 12 weeks.
The experimental condition involves a mobile app that provides auditory feedback signaling EEG alpha power
above a threshold level and denoting a physiologically relaxed state. The control condition involves a visually
identical mobile app yoked to a pre-recorded set of actual neurofeedback sessions (i.e., placebo). Data will be
collected at 0, 3, 6, and 9 months. We hypothesize that participants randomized to the experimental condition
will show greater decrease in pain intensity and pain interference and greater increase in speed on a test of
physical function and EEG alpha power at 3, 6, and 9 months compared to participants in the control condition.
We also hypothesize that pain self-efficacy will mediate changes in pain outcomes among participants
randomized to the experimental condition. This research is innovative because it tests a novel mHealth tool that
uniquely enables self-management of pain to be performed easily and safely by patients. This study advances
the field by rigorously testing effectiveness of a cutting-edge, practical mHealth tool to improve quality of life for
patients with chronic low back pain. Mobile neurofeedback enables patients to be active participants in managing
their own health and therefore shows promise to reduce clinic visits. The expected outcome is development of a
portable, low-cost, non-pharmacological intervention pioneering a new framework to treat pain. By applying
mHealth technology to a self-management pain treatment, this study furthers strategic goals of NINR and the
NIH National Pain Strategy. If this study yields positive results, it would demonstrate that mobile neurofeedback
has potential to fundamentally change patients’ ability to effectively self-manage chronic pain.
摘要
项目成果
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{{ truncateString('ERIC B. ELBOGEN', 18)}}的其他基金
Promoting Effective Self-Management of Chronic Pain with mHealth Neurofeedback
通过移动健康神经反馈促进慢性疼痛的有效自我管理
- 批准号:
10622471 - 财政年份:2022
- 资助金额:
$ 40.25万 - 项目类别:
Pain Management using Mobile Technology in Veterans with PTSD and TBI
使用移动技术对患有 PTSD 和 TBI 的退伍军人进行疼痛管理
- 批准号:
9249715 - 财政年份:2014
- 资助金额:
$ 40.25万 - 项目类别:
Pain Management using Mobile Technology in Veterans with PTSD and TBI
使用移动技术对患有 PTSD 和 TBI 的退伍军人进行疼痛管理
- 批准号:
8753690 - 财政年份:2014
- 资助金额:
$ 40.25万 - 项目类别:
Pain Management using Mobile Technology in Veterans with PTSD and TBI
使用移动技术对患有 PTSD 和 TBI 的退伍军人进行疼痛管理
- 批准号:
9096037 - 财政年份:2014
- 资助金额:
$ 40.25万 - 项目类别:
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评估和减少部署后暴力风险
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7632264 - 财政年份:2008
- 资助金额:
$ 40.25万 - 项目类别:
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评估和减少部署后暴力风险
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- 资助金额:
$ 40.25万 - 项目类别:
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评估和减少部署后暴力风险
- 批准号:
7798077 - 财政年份:2008
- 资助金额:
$ 40.25万 - 项目类别:
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