Recovery from Opioid Use Disorder: subgroups, transition states, and their association with recovery outcomes
Recovery from Opioid Use Disorder: subgroups, transition states, and their association with recovery outcomes
批准号:
10585674
负责人:
Allison N Tegge
金额:
$22.4万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-01 至 2024-08-31
关键词:
AbstinenceAddressBayesian ModelingBuprenorphineChronicComputing MethodologiesDataData AnalysesData SetDisease remissionDrug abuseEnvironmental Risk FactorFundingGoalsHeterogeneityIndividualIndividual DifferencesInterventionLife StressLongitudinal StudiesMeasuresMental DepressionMethodologyModelingOpioidOutcomePainPredictive FactorProcessPsychosocial Assessment and CarePsychosocial FactorPublic HealthQuality of lifeRecoveryRelapseResearchRoleSocioeconomic FactorsStatistical MethodsSubgroupSubstance Use DisorderTestingTreatment EffectivenessUnited StatesWithdrawalWithholding Treatmentbaseinnovationmethod developmentnovelopioid injectionopioid overdoseopioid useopioid use disorderopioid withdrawalpersonalized medicinepolysubstance usepsychosocialrole modelsexstress symptomsubcutaneous
中文摘要
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英文摘要
Summary
The overall goal of this project is to provide a scientific understanding of the heterogeneous outcomes of recovery
from opioid use disorder (OUD). Toward this end, this project will demonstrate that (1) latent factors important to
recovery from OUD exist, (2) subgroups explain the heterogeneity among individuals in recovery from OUD, (3)
individuals transition among these subgroups during their recovery process, (4) individual-level factors are pre-
dictive of subgroup transitions, and (5) changes in latent recovery factors are associated with recovery outcomes.
To accomplish these objectives, this project will develop novel statistical methodologies to identify subgroups of
individuals in, and the latent recovery factors necessary to achieve, recovery from OUD. To succeed, the com-
bined expertise of the research team in statistical method development, psychosocial data analysis, and recovery
from substance use disorders, including OUD, will be leveraged. All analyses will be performed on the Remission
from Chronic Opioid Use–Studying Environmental and Socioeconomic Factors on Recovery (RECOVER) Study,
a longitudinal study of individuals who received subcutaneous buprenorphine injections for OUD treatment. The
RECOVER data set assessed psychosocial measures including depression, life stress, pain, withdrawal, and
quality of life during four years of recovery. In Aim 1, a novel Bayesian Dynamic Clustering Factor Model (BD-
CFM) will be developed. These latent factors will then be used to identify subgroups of individuals, and changes
in individual-level psychosocial factors that are precipitants of transitions among these subgroups. In Aim 2, an
extension of the BDCFM will be developed to identify changes in latent recovery factors as predictors of recovery
outcomes, such as re-initiation of opioid use (i.e., relapse) and treatment utilization. Overall, this project is highly
innovative and impactful as it will provide a deeper understanding of the heterogeneity of recovery from OUD,
and thereby informing subgroup specific interventions to facilitate successful recovery.
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会议论文
Computing hepatic intercellular communications in response to toxicant exposures
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批准号:8911699
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项目类别:
-
资助金额:$5.6万
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财政年份:2014
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负责人:Allison N Tegge
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依托单位:
Computing hepatic intercellular communications in response to toxicant exposures
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批准号:8718528
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项目类别:
-
资助金额:$5.33万
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财政年份:2014
-
负责人:Allison N Tegge
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依托单位:
Computing hepatic intercellular communications in response to toxicant exposures
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批准号:9115599
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项目类别:
-
资助金额:$2.1万
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财政年份:2014
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负责人:Allison N Tegge
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依托单位:
海外基金