Toward measures and behavioral trials for effective online AUD recovery support
Toward measures and behavioral trials for effective online AUD recovery support
批准号:
10643056
负责人:
Jason Colditz
金额:
$16.5万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2028-08-31
关键词:
AdultAlcohol consumptionBehaviorBehavior TherapyBehavior assessmentBehavioralBehavioral trialCOVID-19 pandemicClassificationClinicalClinical TreatmentClinical TrialsClinical Trials DesignCodeCollaborationsComputing MethodologiesConceptual DomainCoping SkillsDataData ReportingDevelopmentEffectivenessEmotionalFeedbackFocus GroupsFoundationsFrequenciesFundingGoalsHealthHealth Services AccessibilityHeterogeneityHumanInterventionLearningMeasurementMeasuresMentorsMentorshipMethodsModelingNational Institute on Alcohol Abuse and AlcoholismNatural Language ProcessingObservational StudyOutcomeParticipantPathway interactionsPatient Self-ReportPatternPersonal SatisfactionPersonsProceduresProcessPsychological reinforcementPsychometricsRandomized, Controlled TrialsRecommendationRecoveryRecovery SupportResearchResearch PersonnelSocial IdentificationSocial ProcessesSocial supportStatistical Data InterpretationStructureSurveysTechnologyTextTimeTrainingWorkacceptability and feasibilityaddictionalcohol seeking behavioralcohol use disorderbehavioral clinical trialbehavioral constructcareerconcept mappingcost effectivedashboarddeep learningeffectiveness evaluationevidence baseevidence based guidelinesexperiencefeasibility trialhealth science researchhuman centered designimprovedinsightinstrumentmultidisciplinarynew technologyonline interventionpeerpeer supportprospectiverandomized, clinical trialssocialsocial mediasocial observationstherapy developmenttool
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英文摘要
PROJECT SUMMARY/ABSTRACT
Alcohol Use Disorder (AUD) is a common and serious health condition. The COVID-19 pandemic worsened
AUD trajectories and heightened barriers to accessing treatment and peer support that are effective in
improving AUD outcomes. A growing number of people are seeking AUD recovery support via popular Online
AUD Recovery Support (OARS) forums on social media platforms. OARS forums lower barriers to social
support in recovery, are widely available, and show promise for improving AUD outcomes. However, as there
are no rigorous clinical trials focusing on OARS forum participation, there is insufficient evidence to
recommend them as effective in supporting AUD recovery. Such trials are challenging, given the variety of
OARS forums and the myriad approaches to participation (e.g., frequency of use, support sought or given). My
long-term career goal is to become an independent investigator and leader in development, implementation,
and assessment of behavioral approaches to OARS that are effective in improving AUD recovery outcomes.
To fill crucial gaps in my expertise, I have four training objectives: (1) Conceptual frameworks of AUD and AUD
recovery processes, to provide strong conceptual foundations for this work; (2) Training in focus group
methods for concept mapping and human-centered design, to collect data from OARS forum users that informs
subsequent self-report scale and intervention development; (3) Training in advanced methods for Natural
Language Processing (NLP) text classification, to advance rigorous observational research of OARS behaviors
in naturalistic settings; and (4) Training in clinical trial design for behavioral interventions, to develop and
conduct trials that assess the effectiveness of OARS participation on AUD outcomes. I have assembled a
multidisciplinary mentoring team of AUD and addiction recovery researchers with a strong track record of
NIAAA funding and mentorship. My consultants provide necessary expertise in social processes of recovery,
psychometrics, advanced methods in NLP, and clinical trial development and statistical analysis.
The proposed K01 research builds upon my prior work focusing on patterns of OARS participation and social
support. I propose an OARS Behavioral Pathway Model (OARS-BPM) to characterize observable behavior of
OARS participation and social support, which are associated with development of AUD coping skills and a
recovery-oriented social identity. I will develop self-report scales and corresponding NLP text classifiers to
identify latent constructs of OARS behavior. To assess and refine OARS-BPM, I will elicit focus group feedback
from OARS users and apply NLP text classifiers to characterize user behavior from public OARS forums. Based
on these findings, I will conduct a pilot randomized clinical trial to assess feasibility and acceptability of an
OARS-BPM based intervention to encourage structured OARS participation over 3 months. Thus, I will develop
necessary self-report and NLP-based measurement tools as well as a behavioral clinical trial framework, which
will potentiate the first randomized controlled trials of OARS participation on improving AUD outcomes.
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