Anxiety Disorders Clinical Trial
Official title:
Optimizing Behavioral Healthcare Delivery Through Technology
Verified date | January 2024 |
Source | Eleos Health |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The goal of this randomized controlled clinical trial is to determine the feasibility, acceptability, and preliminary efficacy of an artificial intelligence platform )שׁ( for behavioral health in facilitating better clinical outcomes for adult patients receiving outpatient therapy. The main question[s] it aims to answer are: - whether an AI platform designed for behavioral healthcare would be feasible and acceptable to patients and therapists. - whether the depression and anxiety outcomes of adults receiving outpatient cognitive-behavioral therapy (CBT) in a community-based clinic would be superior among patients whose therapists used an AI-based platform to support clinical decision making and administrative tasks compared to patients receiving treatment-as-usual (TAU). Participants will receive CBT for depression or anxiety and complete standardized assessments. Participants will be followed for the first two months of therapy.
Status | Completed |
Enrollment | 46 |
Est. completion date | April 30, 2023 |
Est. primary completion date | April 30, 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: 1. Older than 18 years old. 2. Presenting for an outpatient CBT for a depressive or anxiety disorder. Exclusion Criteria: 1. Age <18. 2. individuals who are medically unstable for outpatient treatment. 3. a severe mental health condition that might interfere with treatment compliance (e.g., psychotic depression, psychosis, active substance dependence). |
Country | Name | City | State |
---|---|---|---|
United States | The Ozark Center | Joplin | Missouri |
Lead Sponsor | Collaborator |
---|---|
Eleos Health | Missouri Department of Mental Health |
United States,
Kellogg KC, Sadeh-Sharvit S. Pragmatic AI-augmentation in mental healthcare: Key technologies, potential benefits, and real-world challenges and solutions for frontline clinicians. Front Psychiatry. 2022 Sep 6;13:990370. doi: 10.3389/fpsyt.2022.990370. eCollection 2022. — View Citation
Peretz G, Taylor CB, Ruzek JI, Jefroykin S, Sadeh-Sharvit S. Machine Learning Model to Predict Assignment of Therapy Homework in Behavioral Treatments: Algorithm Development and Validation. JMIR Form Res. 2023 May 15;7:e45156. doi: 10.2196/45156. — View Citation
Sadeh-Sharvit S, Camp TD, Horton SE, Hefner JD, Berry JM, Grossman E, Hollon SD. Effects of an Artificial Intelligence Platform for Behavioral Interventions on Depression and Anxiety Symptoms: Randomized Clinical Trial. J Med Internet Res. 2023 Jul 10;25: — View Citation
Sadeh-Sharvit S, Rego SA, Jefroykin S, Peretz G, Kupershmidt T. A Comparison Between Clinical Guidelines and Real-World Treatment Data in Examining the Use of Session Summaries: Retrospective Study. JMIR Form Res. 2022 Aug 16;6(8):e39846. doi: 10.2196/39846. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Patient Health Questionnaire-9 (PHQ-9) | The PHQ-9 is intended as a tool to assist clinicians with identifying and diagnosing depression. | Baseline | |
Primary | Patient Health Questionnaire-9 (PHQ-9) | The PHQ-9 is intended as a tool to assist clinicians with identifying and diagnosing depression. | 1 month | |
Primary | Patient Health Questionnaire-9 (PHQ-9) | The PHQ-9 is intended as a tool to assist clinicians with identifying and diagnosing depression. | 2 months | |
Primary | Generalized Anxiety Disorder-7 (GAD-7) | The GAD-7 is intended as a tool to assist clinicians with identifying and diagnosing anxiety. | Baseline | |
Primary | Generalized Anxiety Disorder-7 (GAD-7) | The GAD-7 is intended as a tool to assist clinicians with identifying and diagnosing anxiety. | 1 month | |
Primary | Generalized Anxiety Disorder-7 (GAD-7) | The GAD-7 is intended as a tool to assist clinicians with identifying and diagnosing anxiety. | 2 months |
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