Machine Learning-based Classification of Symptom Clusters and Online CBT

Not Applicable

Not yet recruiting

• Conditions: Depression and Anxiety Symptom
• Interventions: Behavioral: cognitive behavior therapy; Other: control group

• Registration Number: NCT06350201
• Lead Sponsor: Wuhan Mental Health Centre

Brief Summary

To breakthrough the bottleneck identified, we will conduct a cross-sectional study to develop a symptom clustering model for depression and anxiety. A wide range of statistical methods as well as machine learning approaches were explored, and a cohesive hierarchical clustering algorithm will be used. After developing the model, a symptom-matched intervention program based on problem solving therapy will be formulated. We are supposed to examine whether its use for personalizing symptom-matched psychological treatment can lead to improved patient outcomes, compared with usual care. This project is expected to provide a new and precise method for the emotion management, which will provide a standardized intervention pathway combining screening with treatment for the management of depression symptom and anxiety symptom. A preciser intervention matched to individual symptoms may provide important insight in improving patient outcome as well as a standardized mood management pathway targeting to the early detection and intervention for community residents.

Detailed Description

Not available

Study Timeline

• Status Verified: 2024-04
• Study First Submitted: 2024-04-01
• Study First Submitted QC: 2024-04-01
• Study First Posted: 2024-04-05
• Last Update Submitted: 2024-04-06
• Last Update Posted: 2024-04-09
• Study Start: 2024-05-01
• Primary Completion: 2024-12-01
• Study Completion: 2024-12-01

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 120

Inclusion Criteria

• Meets the criteria of PHQ-9 and or GAD-7 ≥5 at baseline measurements

Exclusion Criteria

• Patients who report the presence of suicidal thoughts in entry 9 of the PHQ-9 on any psychometric measurements, referred to the Wuhan Psychological Hotline Platform; and
• Those who are currently suffering from mental illness or are being treated with antipsychotic drugs;
• Women during pregnancy or within 3 months after delivery.

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
8 weeks Problem-solving therapy	cognitive behavior therapy	Problem-solving therapy-based holistic emotion management interventions matched to individual symptoms
treatment as usual	control group	Routine psychological care and guidance on mood management

Primary Outcome Measures

Name	Time	Method
The Patient Health Questionnaire (PHQ-9)	0 4week 8 week 6-month follow-up 12-month follow-up

Secondary Outcome Measures

Name	Time	Method
7-tiem Generalized Anxiety Disorder Scale,GAD-.7	0 4week 8 week 6-month follow-up 12-month follow-up