Symposia
Technology/Digital Health
Kaitlyn Petz, B.A. (she/her/hers)
Project Coordinator
University of Virginia
Eatontown, New Jersey, United States
Kaitlyn Petz, B.A. (she/her/hers)
Project Coordinator
University of Virginia
Eatontown, New Jersey, United States
Emma R. Toner, M.A.
Clinical Psychology PhD Student
University of Virginia
Charlottesville, Virginia, United States
Mark Rucker, M.S.
Graduate Student
University of Virginia
Charlottesville, Virginia, United States
Emily Leventhal, B.A.
Medical Student
Icahn School of Medicine
New York, New York, United States
Sarah Livermon, B.S.
Research Coordinator
University of Virginia
Charlottesville, Virginia, United States
Benjamin Davidson, B.S.
Developer
University of Virginia
Charlottesville, Virginia, United States
Mehdi Boukhechba, Ph.D.
Senior Data Scientist
Johnson & Johnson
Charlottesville, Virginia, United States
Laura Barnes, PhD
Associate Professor
University of Virginia
Charlottesville, Virginia, United States
Bethany Teachman, Ph.D.
Principal Investigator & Professor
University of Virginia
Charlottesville, Virginia, United States
Marginalized individuals often experience high levels of stress, including stressors tied to discrimination, yet they also often have inadequate access to mental health care. Digital mental health interventions (DMHIs) show promise to improve psychological symptoms and increase access to mental health resources, but often do not address the needs of diverse populations. The present study uses mixed methods to evaluate the impact of brief DMHI sessions designed to offer support tied to experiences of discrimination (as part of a mobile app to reduce anxiety). Participants (n = 59 undergraduate students, graduate students, and university staff members) completed brief training sessions of Hoos Think Calmly, an ecological momentary intervention for a university community that uses Cognitive Bias Modification for Interpretations (CBM-I) to shift anxious thinking patterns. Training sessions varied based on stressor domain selected, including academics/work/career development, physical health, social situations, finances, family and home life, mental health, romantic relationships, and discrimination. Within the discrimination domain, participants could choose from multiple resource options, including allyship, activism, community, journal, reporting, and self-care. Linear and repeated measures mixed effects models were used to test whether there are differences in (1) affect from pre- to post-session, (2) perceived ability to do cognitive reappraisal post-session, and (3) perceived ability to manage emotions post-session for training sessions completed in the discrimination domain compared to all other domains, and across resource options within the discrimination domain. Results indicate that affect is more negative post-session than pre-session following training sessions in the discrimination domain only. Additionally, reappraisal and emotion regulation efficacy are more negative following training sessions in the discrimination domain compared to training sessions in all other domains. Qualitative feedback interviews revealed that participants sometimes did not feel the types of discrimination they experienced were well captured by the program. Our findings suggest refinements are needed so DMHIs can more effectively meet the needs of marginalized communities in the moment when they experience discrimination.