ArticleAcademic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry2024
Provision of Cognitive Behavior Therapy for Depression and Anxiety Disorders by Medical Student Trainees.
Article in Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 1 citations in OpenAlex.
- Personality Trait Dimensions and Depressive Symptoms Among Medical Students: Sequential Mediation Through Psychological Capital and Perceived Stress.Depression and anxiety · 2026Article
- Addressing the Youth Mental Health Epidemic.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe purpose of the article is to evaluate an innovative education program in which medical students were trained in cognitive behavior therapy (CBT) and provided CBT treatments under supervision to uninsured individuals with depressive, anxiety, adjustment, and trauma-based disorders.
methodsThe authors assessed improvements in trainees' CBT knowledge using the Cognitive Therapy Awareness Scale before and after their didactic training. CBT supervisors rated trainees' clinical competencies utilizing standardized checklist evaluations based upon supervision reports. The authors employed mixed effects ANOVA and regression modeling to test the association between the addition of CBT to treatment as usual (TAU) and improvements in patients' depressive and anxious symptom severity. The authors collected feedback and self-assessment of functioning with a Psychotherapy Feedback Questionnaire.
resultsMedical students showed increases in CBT knowledge that were maintained six months later and demonstrated satisfactory competency in CBT techniques. The addition of CBT to TAU was associated with greater improvements in depressive, but not anxious, symptom severity. However, among the TAU + CBT group, there was an association between the number of CBT sessions received and the magnitude of improvement in anxious symptoms from baseline. Patients gave positive feedback to medical student CBT providers and reported improvements in broad domains of psychosocial functioning.
conclusionsMedical students can provide competent and clinically beneficial CBT treatments for depression and anxiety disorders. These findings have implications for medical training and support the use of medical students to deliver care for individuals with limited access to psychotherapy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.