Awardee OrganizationUNIVERSITY OF CALIFORNIA, SAN DIEGO
Description
Abstract Text
PROJECT SUMMARY (Methods Core)
Team approaches to meet organizational goals are utilized broadly and globally in industry, the military, space
exploration, and health settings. The TEAMS Methods Core is integral to adapting and advancing team-based
models, approaches, strategies, methods, and evaluation for children’s mental health and for the larger center
activities. Of note, the Methods Core will lead innovation by leveraging natural language processing (NLP)
technology to develop tools to rapidly assess team functioning in real-world settings. Within community service
systems caring for children with mental health needs, the assessment of team effectiveness—although crucial
for improving team functioning—can be a laborious and cumbersome task. Innovations in technology related to
the automatic capturing of communication between team members can lessen the burden in assessing and
improving team effectiveness. The Methods Core will lead innovation by leveraging natural language processing
technology to develop tools to rapidly assess team functioning in real-world settings. The Methods Core
investigators have already been collaborating closely with the Administrative Core, the R01, and the R34 teams,
and Community Service System Workgroup stakeholders in selecting, adapting and shaping strategies and
approaches to implementation and improvement for children’s mental health across service system settings. The
Methods Core is a team effort led by Drs. Aarons (implementation science, mental health), Burke (team
effectiveness, team strategies), and Sklar (mental health services, evaluation) (see biosketches). The Methods
Core is organized to address four aims: Aim 1) Integrate models and strategies from team effectiveness research
and implementation science to improve children’s mental health services, Aim 2) Apply multilevel and advanced
methods and designs for team-based implementation research, and Aim 3) Lead the design and implementation
of a multi-level, longitudinal, iterative evaluation to refine the Center’s research activities, maximize the Center’s
impact and inform plans for future collaborative research.
Public Health Relevance Statement
Data not available.
NIH Spending Category
No NIH Spending Category available.
Project Terms
AccelerationAddressAreaChild CareChild Mental HealthClinicalCodeCollaborationsCommunicationCommunitiesCommunity ServicesComplexDataDevelopmentEffectivenessEnsureEvaluationEvidence based practiceFutureGoalsHealthIncubatorsIndividualIndustryInterventionLanguageLeadLiteratureMeasurementMeasuresMental HealthMental Health ServicesMethodologyMethodsMilitary PersonnelModelingNatural Language ProcessingOrganizational ObjectivesPerformanceProcessPublicationsQualitative MethodsResearchResearch ActivityResearch DesignResearch PersonnelScienceServicesShapesSpace ExplorationsSystemTeam ProcessTechnologyTestingTrainingWorkcare systemschild health care servicechild mental health servicechild servicesdata communicationdesigneffectiveness researchimplementation barriersimplementation researchimplementation scienceimplementation strategyimprovedinnovationinsightmachine learning classifiermembernovelopen sourcetool
No Sub Projects information available for 5P50MH126231-03 9281
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
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Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
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