المؤلفون: Ong CW; Department of Psychology, University of Toledo, USA. Electronic address: clarissa.ong@utoledo.edu., Skolnik AM; Department of Psychology, University of Toledo, USA., Johnson HM; Department of Psychology, Southern Illinois University, USA., Krafft J; Department of Psychology, Mississippi State University, USA., Loew S; Department of Psychology, Southern Illinois University, USA., Kurtz AJ; Department of Psychology, University of Toledo, USA., Lee EB; Department of Psychology, Southern Illinois University, USA.

المصدر: Clinical psychology review [Clin Psychol Rev] 2024 Jul; Vol. 111, pp. 102446. Date of Electronic Publication: 2024 May 18.

نوع المنشور: Journal Article; Systematic Review

بيانات الدورية: Publisher: Elsevier Science Country of Publication: United States NLM ID: 8111117 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7811 (Electronic) Linking ISSN: 02727358 NLM ISO Abbreviation: Clin Psychol Rev Subsets: MEDLINE

مواضيع طبية MeSH: Anxiety Disorders*/therapy , Cognitive Behavioral Therapy*/statistics & numerical data , Randomized Controlled Trials as Topic*, Female ; Humans ; Male ; Sociodemographic Factors ; United States

مستخلص: 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. 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. Data from 55 eligible studies (N = 4492) 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 their analyses or 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. 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. Recommendations for future research, clinical implications, and limitations are discussed.
Competing Interests: Declaration of competing interest The authors declare that they have no conflicts of interest.
(Copyright © 2023. Published by Elsevier Ltd.)