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Machine Learning-based Classification of Symptom Clusters and Online CBT

W

Wuhan Mental Health Centre

Status

Not yet enrolling

Conditions

Depression and Anxiety Symptom

Treatments

Behavioral: cognitive behavior therapy
Other: control group

Study type

Interventional

Funder types

Other

Identifiers

NCT06350201
KY2024.0124.02

Details and patient eligibility

About

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.

Enrollment

120 estimated patients

Sex

All

Ages

18 to 65 years old

Volunteers

No Healthy Volunteers

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.

Trial design

Primary purpose

Supportive Care

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Triple Blind

120 participants in 2 patient groups, including a placebo group

8 weeks Problem-solving therapy
Experimental group
Description:
Problem-solving therapy-based holistic emotion management interventions matched to individual symptoms
Treatment:
Behavioral: cognitive behavior therapy
treatment as usual
Placebo Comparator group
Description:
Routine psychological care and guidance on mood management
Treatment:
Other: control group

Trial contacts and locations

0

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Data sourced from clinicaltrials.gov

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