Screening, Tracking and Treatment for Anxiety and Depression in Community Colleges
Project Number1P50MH126337-01A1
Former Number1P50MH126337-01
Contact PI/Project LeaderCRASKE, MICHELLE G Other PIs
Awardee OrganizationUNIVERSITY OF CALIFORNIA LOS ANGELES
Description
Abstract Text
Overall Component Abstract
Community colleges (CCs) are primary engines for economic advancement for persons from lower socio-
economic backgrounds, but the promise of higher education is often thwarted by untreated mental health
problems, especially among racial/ethnic minority students. Alarmingly high rates of depression and anxiety on
community college campuses collide with daunting life challenges (such as early adversity, housing and food
insecurity) and inadequate mental health resources. Untreated depression and anxiety can have dire
consequences, extending from poor academic performance to suicide. To address the enormous mental health
gap in a low income, highly diverse sample of CC students at East Los Angeles College (ELAC), we propose to
evaluate a scalable, efficient, and evidence-based system of care called STAND for screening, tracking and
treating anxiety and depression. STAND uses a stratified stepped care model, ranging from self-guided online
cognitive behavioral prevention, to online cognitive behavioral therapy with coaching, to clinician-delivered care.
Continuous tracking enables treatment adaptation as needs evolve plus rapid detection and management of
suicidality. The STAND system was implemented on the UCLA campus from late 2017- early 2020. Since Fall
2019, we have been collaborating with ELAC administrators and students to adapt STAND for their needs, and
have an ongoing pilot project funded through the Los Angeles County Department of Mental Health (2020-2022).
This pilot lays the groundwork for ALACRITY in which we will optimize STAND at ELAC (n=1000) with continuing
support from DMH and we will explore sustainability and spread to other CCs. The ALACRITY center focuses
upon (1) optimizing effectiveness through multivariate predictive models, including social determinants of mental
health, for improving stepped care triaging, adaptation, and risk detection, which will simultaneously advance
the science of personalized mental health, (2) optimizing implementation through exploratory projects, pilot trials
and Methods Scientific Area hubs that primarily target uptake and engagement as well as integration and cultural
competency to meet the needs of this underserved, diverse student population, and (3) exploring sustainability
via centralized state-wide data-streams, cost-effectiveness and return-on-investment projections for STAND
implementation, investigation of generalizability, and exploration of barriers and facilitators of implementation
across geographically diverse CCCs, that inform discussions with policy makers and stakeholders. The overall
approach is guided by the Accelerated Creation to Sustainment implementation framework which allows for
continuous evaluation and redesign over each annual cohort. The Administrative Core will oversee operations
of the Center, pilot study program, training of junior investigators, and sustainability planning. The Methods Core
will support research projects, implementation efforts, and innovative and synergistic collaborations that focus
on increasing engagement of stakeholders. Our long-term goal is to optimize STAND through personalization
tools and facilitate expansion of STAND’s reach across CCs statewide and ultimately nationwide.
Public Health Relevance Statement
Project Narrative
Community college (CC) students suffer high rates of depression and anxiety in the face of daunting life
challenges (e.g. housing and food insecurity) without adequate mental health resources. This Center aims to
optimize the effectiveness and implementation of a system for screening, tracking and treating anxiety and
depression in a low-income, diverse community college student population, and explore pathways for
sustainability and spread to other community colleges.
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