Active — Not RecruitingNot Applicable

Using Data Science To Center Patient Perspectives in Mechanism Discovery

United States33 participantsStarted 2024-03-19

Plain-language 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.

Who can participate

Age range18 Years – 75 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: Must be enrolled in the clinical service offering online PARTS group and approved and confirmed to start by the clinical team. Have sufficient English fluency and literacy skills to understand the consent process, procedures and questionnaires and have the ability to provide written informed consent. Have access to the internet and an electronic device with adequate data capacity; to complete questionnaires online and participate in two online video interviews. Must be willing to complete online computerized assessments both at baseline and post-intervention; and participate in two, one-hour videotaped interviews one at baseline and one 2-4 weeks post-intervention. Exclusion Criteria: Inability to complete an informed consent assessment AND/OR inability to complete baseline study assessment procedures (due to cognitive deficit, non-proficiency in English literacy, or any other reason). Expected medical hospitalization in 24 weeks from the date of enrollment. Expected incarceration in 24 weeks from the date of enrollment. Individuals who are pregnant with a due date within 24 weeks after study consent. Insufficient internet connection to conduct online interviews or computerized assessments.

What they're measuring

Similarity of topics and mechanism identification

Timeframe: 24 weeks

Trial details

NCT IDNCT06233968

SponsorCambridge Health Alliance

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2025-05-05