grant

What works for Whom in Pediatric OCD

Organization EMMA PENDLETON BRADLEY HOSPITALLocation Riverside, UNITED STATESPosted 15 Jul 2022Deadline 30 Jun 2026
NIHUS FederalResearch GrantFY20240-11 years oldAddressAgeAppleBehavior Conditioning TherapyBehavior ModificationBehavior TherapyBehavior TreatmentBehavioral Conditioning TherapyBehavioral ModificationBehavioral TherapyBehavioral TreatmentCare GiversCaregiversCharacteristicsChildChild YouthChildhoodChildren (0-21)ClinicalClinical DataClinical TrialsCognition TherapyCognitiveCognitive PsychotherapyCognitive TherapyCognitive treatmentConditioning TherapyDataDevelopmentDoseEducationEducational aspectsEmotionalEvaluationEvidence based interventionFamilyFamily TherapyFamily psychotherapyFoundationsHeadHistoryHospitalsIndividualInfrastructureInternationalInterventionIntervention StrategiesLeadershipLengthMalus domesticaMeasuresMeta-AnalysisMethodsModalityModificationNIMHNational Institute of Mental HealthObsessive-Compulsive DisorderObsessive-Compulsive NeurosisOutcomeParticipantPatient advocacyPatient outcomePatient-Centered OutcomesPatient-Focused OutcomesPatientsPopulationPreventionPrincipal InvestigatorProbabilistic ModelsProbability ModelsProcessRandomization trialRecording of previous eventsRelaxationResearchSample SizeSamplingScheduleSeveritiesSeverity of illnessStatistical ModelsSubgroupSymptomsTarget PopulationsTestingTimeTransportationTreatment EffectivenessTreatment EfficacyVariantVariationWorkagesalleviate symptomameliorating symptomanalytical toolbehavior interventionbehavioral interventionburden of diseaseburden of illnessco-morbidco-morbiditycognitive behavior interventioncognitive behavior modificationcognitive behavior therapycognitive behavioral interventioncognitive behavioral modificationcognitive behavioral therapycognitive behavioral treatmentcomorbiditycomparative effectivenesscompare effectivenesscompare interventioncompare treatmentcomparison interventiondata archivedata archivesdecrease symptomdevelopmentaldisease burdendisease severityethnic minority groupethnic minority individualethnic minority peopleethnic minority populationfewer symptomshistoriesimprovedinsightintervention efficacyinterventional strategykidsmemberoutpatient programsoutpatient servicespatient oriented outcomespatient subclasspatient subclusterpatient subgroupspatient subpopulationspatient subsetspatient subtypespediatricprogramsracial minority groupracial minority individualracial minority peopleracial minority populationrandomized trialreduce symptomsrelieves symptomsresponseresponse to therapyresponse to treatmentsocialstatistical linear mixed modelsstatistical linear modelssymptom alleviationsymptom reductionsymptom relieftherapeutic efficacytherapeutic outcometherapeutic responsetherapy efficacytherapy outcometherapy responsetreatment comparisontreatment responsetreatment responsivenessusabilityyoungster
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Full Description

Project Summary/Abstract
Improving patient outcomes will be enhanced by understanding “what works, for whom?” enabling better

matching of patients to available treatments. Despite a wealth of research seeking to optimize CBT outcomes

for pediatric obsessive-compulsive disorder (OCD), we have limited understanding about how to match

patients with the appropriate treatment package. Past research has identified patient characteristics that may

influence treatment response, including age, symptom severity, comorbidities, and previous treatment history.

Unfortunately, findings have been inconsistent due to limited sample size, a focus on one modifier at a

time, and difficulty integrating results across trials with different sample characteristics. Between-trial

differences in sample characteristics severely limit conventional meta-analytic tools, greatly complicating

cross-trial comparisons of treatment efficacy. This project will use individual-participant-data from 27 trials and

data from two clinical populations and utilize recent advancements in transportability methods facilitates

understanding “what works, for whom?” Transportability methods include causal analytic approaches to

extend inferences from trial samples to target populations when there are marked differences in the distribution

of sample characteristics between trials and the target population. Robust statistical models are used

to address between-trial differences in covariates, enabling the transportation of causal estimates from trial

samples to target populations. Under explicit causal and statistical assumptions, the transported analyses

provide unbiased estimates of how interventions will fair in the target population(s), enabling apples-to-apples

comparisons of interventions even when two interventions have not been compared in a head-to-head trial. In

addition, the target population can be defined as sub-populations (e.g., younger children with high illness

severity, comorbidities), enabling evaluation of relevant interventions for that sub-population, effectively

providing insight into the question of “what works for whom?”

Grant Number: 5R01MH128595-03
NIH Institute/Center: NIH

Principal Investigator: Kristen Benito

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