Personalized Treatment

NCT ID: NCT04183894

Last Updated: 2023-04-27

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 59 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2018-11-02
• Study Completion Date: 2023-01-23

Brief Summary

The Personalized Treatment Study creates an individualized network of symptoms for a participant with a current eating disorder. This network will be used to develop a personalized treatment intervention. This study aims to 1) determine if personalized treatments can be conducted using a network analysis of patient symptoms, and 2) to assess the effectiveness of network-informed personalized treatment for participants with eating disorders.

Detailed Description

Cognitive behavioral theory proposes that cognitions, behaviors, affect, and physiological symptoms interact with each other to maintain and exacerbate psychiatric disorders (Beck, 2011). Network theory identifies core symptoms that maintain and promote the spread of ED psychopathology within individuals (Borsboom & Cramer, 2013). Once identified, core "trigger" symptoms can be directly targeted to disrupt the spread or "activation" of ED behaviors, which would help patients achieve full recovery, and ultimately, prevent relapse. One of the main goals of the Personalized Treatment Study is to create an individualized network for a participant with a current eating disorder, which can be used to develop a personalized treatment intervention. Our research questions are: 1) Can a personalized treatment plan be conducted from a network analysis of patient symptoms, and 2) How effective is this personalized treatment based off of a network of symptoms.

Conditions

Eating Disorders; Eating Disorder Symptom

Study Design

• Allocation Method: NA
• Intervention Model: SINGLE_GROUP
• Primary Study Purpose: TREATMENT
• Blinding Strategy: NONE

Study Groups

Personalized Intervention Based on Network

Participants will receive personalized interventions based on their personalized network.

Group Type: EXPERIMENTAL

Personalized Intervention

Intervention Type: BEHAVIORAL

Participants will receive a personalized intervention based on their personalized network.

Interventions

Personalized Intervention

Participants will receive a personalized intervention based on their personalized network.

Intervention Type: BEHAVIORAL

Eligibility Criteria

Inclusion Criteria

• Current eating disorder diagnosis
• at least 18 years of age,
• not actively suicidal,
• not manic,
• not psychotic

Exclusion Criteria

• No current eating disorder diagnosis,
• younger than 18 years of age,
• active psychosis,
• active mania, or
• actively suicidal.

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

University of Louisville

OTHER

Sponsor Role: lead

Responsible Party

Cheri Levinson

Assistant Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

University of Louisville

Louisville, Kentucky, United States

Countries

United States

References

Beck, J. S. (2011). Cognitive-behavioral therapy. Clinical textbook of addictive disorders, 491, 474-501.

Reference Type: BACKGROUND

Borsboom D, Cramer AO. Network analysis: an integrative approach to the structure of psychopathology. Annu Rev Clin Psychol. 2013;9:91-121. doi: 10.1146/annurev-clinpsy-050212-185608.

Reference Type: BACKGROUND

PMID: 23537483 (View on PubMed)

Levinson CA, Williams BM, Christian C, Hunt RA, Keshishian AC, Brosof LC, Vanzhula IA, Davis GG, Brown ML, Bridges-Curry Z, Sandoval-Araujo LE, Ralph-Nearman C. Personalizing eating disorder treatment using idiographic models: An open series trial. J Consult Clin Psychol. 2023 Jan;91(1):14-28. doi: 10.1037/ccp0000785.

Reference Type: DERIVED

PMID: 36729494 (View on PubMed)

Levinson CA, Hunt RA, Keshishian AC, Brown ML, Vanzhula I, Christian C, Brosof LC, Williams BM. Using individual networks to identify treatment targets for eating disorder treatment: a proof-of-concept study and initial data. J Eat Disord. 2021 Nov 4;9(1):147. doi: 10.1186/s40337-021-00504-7.

Reference Type: DERIVED

PMID: 34736538 (View on PubMed)

Other Identifiers

IRB# 18.0622

Identifier Type: -

Identifier Source: org_study_id