Machine Learning-based Classification of Symptom Clusters and Online CBT

Официальное название

Machine Learning-based Classification of Symptom Clusters and Matched Online Cognitive Behavior Intervention for Depression Symptom and Anxiety Symptom

Обзор

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.

Вмешательства

• Поведенческое problem solving therapy
  Problem-solving therapy-based holistic emotion management interventions matched to individual symptoms
• Другое control group
  Routine psychological care and guidance on mood management

Первичные конечные точки

• The Patient Health Questionnaire (PHQ-9) [Срок оценки: Baseline, week 1, week 2, week 3, week 4, week 5, week 6, week 7, week 8, week 12, week 20, week 32]
• GAD-7 [Срок оценки: Baseline, week 1, week 2, week 3, week 4, week 5, week 6, week 7, week 8, week 12, week 20, week 32]

Вторичные конечные точки (3)

• PSQI [Срок оценки: Baseline, week 1, week 4, week 6, week 8, week 12, week 20, week 32]
• WHODAS 2.0 [Срок оценки: Baseline, week 1, week 4, week 6, week 8, week 12, week 20, week 32]
• EQ-5D-5L [Срок оценки: Baseline, week 1, week 4, week 6, week 8, week 12, week 20, week 32]

Критерии участия

Критерии включения

• Aged between 18 and 64 years. PHQ-9 ≥10 and/or GAD-7 ≥8 at baseline assessment defined as the threshold for caseness.

Критерии исключения

• People will be excluded if they meet any of the following criteria:

• They are receiving psychological therapy during an interview for any mental health issue;
• currently acutely suicidal or have attempted suicide in the past 2 months, as indicated by PHQ-9 item 9;
• cognitively impaired or diagnosed with bipolar disorder or psychosis or experiencing psychotic symptoms; d) dependent on alcohol or drugs; e) living with an unstable or acute medical illness that would interfere with trial participation.

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Нет

Дизайн исследования

Распределение

Рандомизированное

Модель

Параллельные группы

Маскирование

Двойное слепое

Основная цель

Поддерживающая терапия

Центры проведения

Китай · 1 центр

• Renmin Hospital of Wuhan University — Ухань

Идентификаторы

NCT: NCT06350201 · KY2024.0124.02

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

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