Symposia
Technology/Digital Health
Francisco A. Reinosa Segovia, Ph.D. (he/him/his)
University of California, Los Angeles
Baldwin Park, CA, United States
Tamar Kodish, Ph.D. (she/her/hers)
Assistant Professor
University of Colorado Boulder
Boulder, CO, United States
Pamela Pichon, B.A. (she/her/hers)
Staff Research Associate
UCLA
Los Angeles, CA, United States
Vanessa Calderon, M.P.H., Ph.D. (she/her/hers)
Postdoctoral Research Scholar
UCLA Department of Psychiatry and Biobehavioral Scienese
Los Angeles, CA, United States
Yesenia Aguilar Silvan, M.A. (she/her/hers)
Graduate Student
UCLA
los Angeles, CA, United States
Alison Hamilton, PhD, MPH (she/her/hers)
Professor in Residence
UCLA
los Angeles, CA, United States
Michelle Craske, Ph.D.
Professor of Psychology, Psychiatry and Biobehavioral Sciences
University of California Los Angeles
Los Angeles, CA, United States
Kate Wolitzky-Taylor, Ph.D.
Associate Professor
UCLA School of Medicine
Los Angeles, CA, United States
Denise A. Chavira, Ph.D.
Professor
University of California Los Angeles
Los Angeles, CA, United States
Research has documented that untreated mental health issues can have significant negative impacts on various life domains such as academic performance, social functioning, and substance use in college students. Community college (CC) students are at a higher risk for experiencing mental health problems such as anxiety, depression, and suicidal ideation and/or intent (Lipson et al., 2021). Although there are several empirically supported treatments for symptoms of anxiety and depression (e.g., CBT, DBT, ACT), CC students are less likely to access and receive mental health services as compared to four-year students (Goldrick-Rab et al., 2016). This problem is further amplified among CC students of color (Jackson et al., 2019). The present study aimed to examine the barriers and facilitators involved in initial uptake of the STAND digital mental health intervention (Wen et al., 2023) among students of color by using a qualitative approach.
Fifty-nine students [mage (SD) = 27.7 (8.4), n = 41 females, 48 Hispanic/Latine] were recruited from a public community college in California to participate in 14 focus groups (9 remotely and 5 in person) aimed at better understanding factors that facilitate or inhibit STAND initial uptake. Focus groups were recorded and transcribed for analysis. Rapid qualitative analysis methods (e.g., template summaries and matrix analyses) were used to analyze data.
Qualitative results revealed several barriers to STAND initial uptake such as stigma related to mental health, logistical barriers (e.g., time commitment), perceived need (e.g., motivation and readiness to receive mental health care), and tech-related barriers (e.g., internet connection problems). In terms of facilitators, qualitative results revealed that personalized level of care (e.g., tier assignment), monetary incentives, accessibility (e.g. free online service), and tech-related features (e.g., audio/video features) contributed to STAND initial uptake.
Findings from this qualitative study have important implications for the development of strategies and interventions to enhance STAND adherence, retention, and ultimately clinical outcomes among CC students of color.