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Early detection of adverse outcomes in Dialectical Behavior Therapy with Machine Learning

Early detection of adverse outcomes in Dialectical Behavior Therapy with Machine Learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00011555
Enrollment
100
Registered
2017-03-30
Start date
2017-06-22
Completion date
Unknown
Last updated
2025-10-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

F60.31 F60.30 F91 F43.1

Interventions

Group 1: Patients receiving residential or outpatient DBT answer question in a therapy app on a daily basis and additionally fill out standardized online questionnaires on a monthly basis.

Sponsors

Zentralinstitut für Seelische Gesundheit
Lead Sponsor

Eligibility

Sex/Gender
All
Age
16 Years to No maximum

Inclusion criteria

Inclusion criteria: Emotionally unstable personality disorder (F60.30 or F60.31) Posttraumatic Stress Disorder (F43.1) or Conduct Disorder (F91)

Exclusion criteria

Exclusion criteria: Alcohol dependence, Substance dependence, Acute psychosis

Design outcomes

Primary

MeasureTime frame
1. Premature treatment termination (yes/no) - information supplied by the therapist if patient has terminated the treatment prematurely. A time point for this assessment cannot be pre-defined. This variable is assessed only of a premature treatment termination takes place. It is assessed at the time of the termination. 2. Item: "Urge to terminate treatment" (visual analogue scale from 0-10) - daily rating by the patient in the app

Secondary

MeasureTime frame
Self-harm (frequency/day) - daily rating by patient in app

Countries

Germany

Contacts

Public ContactNora Görg

Hochschule DarmstadtInstitut für angewandte Informatik

nora.goerg@h-da.de004961511630107

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026