Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Smartphone Sensors to Assess Symptom Relief in Patients With Social Anxiety Disorder Undergoing Treatment

Tel Aviv University · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
Open Source ↗
attentionnasmartphone
The goal of this study is to examine if a digital behavior-based framework, utilizing the BHQ app, can effectively monitor social anxiety symptoms and evaluate the symptom-reducing impact of attentional training for adults (18-65) with social anxiety disorder (SAD), compared to traditional clinical questionnaires and self-reports. The main questions it aims to answer are: 1. Can the BHQ app provide a reliable digital measure of social anxiety symptoms? 2. Does GC-MRT significantly reduce symptoms of social anxiety as measured through BHQ app monitoring and standard assessment tools? Researchers will compare the digital BHQ measurements to traditional clinical assessments to see if the app-based measurements is effective in monitoring symptoms relief. Participants will: * Complete an initial clinical interview and self-report questionnaires. * Engage in a computer-based "free-viewing" task for baseline attention assessment using eye tracking. * Connect to the BHQ app for continuous monitoring throughout the study. * Undergo attentional training, GC-MRT. * Complete weekly SPIN assessments. * Undergo Final evaluation two weeks post-treatment including repeated clinical interviews, self-reports, and the computer-based task to assess changes in attention patterns and symptom reduction.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1059940
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive