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Using Data Science To Center Patient Perspectives in Mechanism Discovery

NCT06233968 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 33

Last updated 2025-06-25

No results posted yet for this study

Summary

Including patient perspectives when developing new therapy interventions is crucial because it can help to understand response heterogeneity and promote engagement. Yet, analyzing patient interview data is difficult and time-consuming. This study aims to explore the potential for natural language processing and deep learning to analyze patient interviews and identify potential ways in which therapy leads to psychological change. This study will recruit participants from an existing clinical service that offers a 16-week online group therapy model (and adjunct individual therapy sessions) called Program for Alleviating and Resolving Trauma and Stress (PARTS) based on a therapy called Internal Family Systems (IFS). The investigators will use a mixed methods approach, applying natural language processing and deep learning to develop models that identify potential mechanisms of change. These models will be based on patient perspectives of psychological change, as expressed in interviews, and be compared to models based on clinical measures.

Conditions

Sponsors & Collaborators

  • Foundation for Self Leadership

    collaborator OTHER

  • Cambridge Health Alliance

    lead OTHER

Principal Investigators

  • Zev Schuman-Olivier, MD · Center for Mindfulness and Compassion, Cambridge Health Alliance

  • Dilara Ally, PhD · Center for Mindfulness and Compassion, Cambridge Health Alliance

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-03-19
Primary Completion
2025-05-05
Completion
2026-12-05

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

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 NCT06233968 on ClinicalTrials.gov