Scaling a smarter and more efficient intervention: Evaluating the feasibility of disseminating a novel mobile app platform to treat depression
Scaling a smarter and more efficient intervention: Evaluating the feasibility of disseminating a novel mobile app platform to treat depression
批准号:
9323599
负责人:
JOAQUIN A ANGUERA
金额:
$24.47万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-08-01 至 2019-06-30
关键词:
BehavioralCase MixesCharacteristicsClinicalClinical DataClinical TrialsCommunitiesCompetenceConsentDataData AnalyticsData CollectionEnsureEquilibriumEvaluationEventEvidence based treatmentGoalsHealth PersonnelHourHumanImprove AccessIndividualInterventionMachine LearningMeasuresMental CompetencyMental DepressionMental HealthMental Health ServicesModelingMood DisordersMoodsNational Institute of Mental HealthNatural Language ProcessingOutcomeParticipantPatientsPerformancePilot ProjectsPopulationProcessProviderPublic HealthQuality of CareRandomizedRandomized Controlled TrialsRecruitment ActivityReportingResearch PriorityServicesSystemTestingTimeTrainingarmbaseblindcare seekingcost effectivedashboarddepressive symptomsdisabilityevidence based guidelinesexperiencefunctional outcomeshandheld mobile deviceimprovedimproved outcomeinnovationiterative designmHealthmobile applicationmobile computingmotivational interventionnovelpost interventionresearch and developmentresponsesatisfactiontargeted treatmenttechnological innovationtherapy developmenttool
中文摘要
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英文摘要
ABSTRACT
The goal of this project is to conduct a pilot study to test the utility of a Natural Language Processing (NLP)
clinical messaging tool to improve the reach and the quality (fidelity and competency) of coaches providing
behavioral activation (BA) strategies through a mobile mental health app called Personalized Real-time
Intervention for Motivational Enhancement (PRIME). Despite decades of research and development for the
treatment of mood disorders, depression has risen from the 5th leading cause of disability to the leading cause
in the US. Critical barriers for progress in the field are 1) Poor access to high quality care for consumers; 2)
Limited mental health workforce; and 3) Few providers are trained in the delivery of evidence-based
treatments. In response to this public health problem, our team is proposing to use a mobile platform to
improve access to an evidence based treatment; increase the reach of mental health coaches while supporting
the delivery of higher quality of care. We will improve the reach of clinicians by using a NLP-powered
messaging tool, which will ensure fidelity to the BA model and clinicians will have access to real-time clinical
information about their patients to guide more targeted treatment (competence). By improving the efficiency
and competence of mental health coaches in the context of mobile mental health services, we expect patients
to make greater gains in depression, mood-related disability, and in achieving personal goals. In order to
evaluate the feasibility, tolerability, and overall impact of the enhancements to PRIME, we will spend Year 1
engaging stakeholders in a human centered iterative design process and spend Years 2-3 conducting a pilot
randomized controlled trial in which we will randomize 120 individuals with depression to either receive 8-
weeks of 1) PRIME 1.0 (current version) OR 2) PRIME 2.0 (version with the NLP-powered clinician
dashboard). Using BRIGHTEN, our mobile clinical trial platform, we will recruit participants, consent, screen,
evaluate and deliver the intervention entirely remotely. The pilot data from this study will be used to prepare for
a R01 study to definitively determine whether PRIME may be used to efficiently and effectively improve
outcomes for a significantly larger number of individuals with depression.
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