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Mobile-assisted Case Management for Panic Disorder

NCT05832905 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 159

Last updated 2024-03-01

No results posted yet for this study

Summary

A panic attack (PA) is an intense form of anxiety accompanied by multiple somatic presentations, leading to frequent emergency department visits and impairing quality of life. A prediction model for PAs could help clinicians and patients monitor, control, and do early intervention for recurrent panic attacks, enabling more personalized treatment for panic disorder. This study aimed to provide a seven-day PA prediction model and determine the relationship between a future PA and various features, including physiological factors, anxiety and depressive factors, and air quality index. We will enroll 200 participants (150 participants join case management with wearables study, 50 participants join TAU group) with PD (DMS-5 and MINI interview). Participants used smartwatches (Garmin vivosmart 4) and mobile applications to collect their sleep, heart rate, activity level, anxiety, and depression scores (BDI, BAI, STAI-S, STAI-T, and PDSS-SR) in their real-life for a duration of one year. We also included air quality indexes from open data. To analyze these data, our team used six machine learning methods: random forests, decision trees, LDA, AdaBoost, XGBoost, and regularized greedy forests, or other deep learning methods.

Conditions

  • Panic Disorder

Interventions

BEHAVIORAL

Mobile and Wearable-assisted Case Management

The MCM group received case management and Mobile-and wearable recording. The actual intervention for Panic disorder, including pharmacotherapy or psychological treatment is the same as in MCM and TAU group

Sponsors & Collaborators

  • National Taiwan University

    collaborator OTHER

  • En Chu Kong Hospital

    lead OTHER

Principal Investigators

  • ECKIRB IRB · En Chu Kong Hostpial

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-06-15
Primary Completion
2023-09-30
Completion
2023-09-30

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05832905 on ClinicalTrials.gov