Symposia
Treatment - CBT
Clarissa Ong, Ph.D.
Assistant Professor & Clinic Director
University of Toledo
Toledo, Ohio, United States
Alexa Skolnik, B.A.
Graduate Student
University of Toledo
Ottawa Hills, Ohio, United States
Hannah M. Johnson, B.S.
Graduate Student
Southern Illinois University
Cambria, Illinois, United States
Jennifer Krafft, Ph.D. (she/her/hers)
Assistant Professor
Mississippi State University
Starkville, Mississippi, United States
Sarah Loew
Graduate Student
Southern Illinois University
N/A, Illinois, United States
Andrew Kurtz, B.A.
Clinical Psychology Graduate Student
Florida State University
Toledo, Ohio, United States
Eric Lee, Ph.D. (he/him/his)
Assistant professor
Southern Illinois University
Carbondale, Illinois, United States
Background: Cognitive behavioral therapies have been identified as evidence-based treatments for anxiety-related disorders. However, data supporting the effectiveness of these treatments have been largely collected from participants with majoritized identities, potentially limiting the extent to which they can be considered “evidence-based” for clients from minoritized groups. The current review examined sociodemographic representation and quality of sociodemographic reporting in randomized controlled trials for anxiety-related disorders in the U.S. between 1993 and 2023.
Method: We conducted a systematic literature review of U.S.-based randomized controlled trials of cognitive behavioral therapies for anxiety-related disorders, extracted data on sociodemographic variables, and rated quality of reporting.
Results: Data from 55 eligible studies (N = 4,492) indicated that white and female identities were overrepresented relative to the U.S. population, with variables like disability status, sexual orientation, and religious identification consistently ignored. In addition, quality of reporting was generally poor (mean = 3.6 out of 10), with many studies failing to account for demographic variables in analyses or in their description of study limitations. Publication year, sample size, and NIH funding status did not significantly predict gender representation (% women), ethnoracial representation (% white), or quality of reporting.
Conclusion: These findings underscore the importance of critically evaluating to whom “evidence-based” treatments apply and increasing diversity of clinical samples, to ensure that evidence-based treatments are inclusive. We recommend that treatment researchers strive to improve sociodemographic representation in their study design, analytic plan, and data reporting. In addition, clinicians using evidence-based treatments should be aware of the populations to whom the term “evidence-based” applies.