Testing a Precision Psychotherapy System for Low-income Patients
NCT05118594 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 111
Last updated 2021-11-18
Summary
The purpose of this study is to evaluate the feasibility of an evidence-based system to recommend core interventions, before the beginning of treatment, to psychotherapists treating low-income patients with depressive or anxiety disorders.
Conditions
- Major Depressive Disorder
- Dysthymic Disorder
- Specific Phobia
- Social Anxiety Disorder
- Panic Disorder
- Agoraphobia
- Generalized Anxiety Disorder
Interventions
- BEHAVIORAL
-
Pre-treatment psychotherapy recommendations
After patients complete an intake evaluation and prior to starting therapy, the assigned therapist will receive automatized feedback that consists of recommendations regarding the most suitable interventions (i.e., cognitive, behavioral, interpersonal or patient-centered) for each individual patients, based on patients' baseline characteristics and a machine learning algorithm developed in a previous study. Besides the interventions recommended, therapist will receive within the system guideline and tutorial videos showing how to deliver adequately the specific interventions recommended.
Sponsors & Collaborators
-
National Council of Scientific and Technical Research, Argentina
lead OTHER_GOV
Principal Investigators
-
Juan M Gomez Penedo, PhD · National Council of Scientific and Technical Research
Study Design
- Allocation
- NA
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-02-28
- Primary Completion
- 2026-11-30
- Completion
- 2026-11-30
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