- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06804369
Benchmarking and Change Mechanisms in Personality Disorder Treatment
Benchmarking and Mechanisms of Change During Intensive Psychodynamic Therapy for Personality Disorders: A Naturalistic Process-Outcome Study
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Personality disorders (PDs) are characterized by problems with identity and interpersonal relationships and the presence of pathological personality traits (American Psychiatric Association, 2013). Personality disorders are prevalent, affecting about 6 - 9.5% of people in the community (Winsper et al., 2020) and result in increased morbidity and mortality (Grant et al., 2008). Several effective psychotherapies for PDs have been developed in the past decades. Meta-analyses of randomized controlled trials (RCTs) demonstrate that psychotherapy for PDs is efficacious and that different treatment models for PDs produce comparable effects (Budge et al., 2013; Cristea et al., 2017; Storebø et al., 2020). However, two important questions remain: (1) how effective are PD treatments outside of the controlled settings of RCTs and (2) what are the core processes that produce change in PD treatment?
First, evidence on the efficacy of PD treatment in controlled circumstances (RCTs) does not necessarily translate directly to the effectiveness of treatment as it is actually being delivered in routine clinical practice. Several studies have demonstrated the effectiveness of PD treatment in naturalistic settings (Gregory & Sachdeva, 2016; Lowyck et al., 2015), however, these studies have not systematically compared their effects with those from published RCTs (Malmivaara, 2015). Therefore, the primary aim of the present study is to compare the effects of intensive psychodynamic therapy (PDT) for PDs in a naturalistic setting to benchmarks found in RCTs. Specifically, the primary objective of this study is to investigate the non-inferiority with a margin of d = 0.2 of intensive PDT for PDs as it is delivered in routine clinical practice compared to benchmarks from published RCTs of PDT for PDs. The benchmarks are created by meta-analytically aggregating the effects found in well-conducted RCTs following the methods proposed by Minami et al. (2008). The primary outcome is change in general symptom severity as measured by the global severity index (GSI) on the Brief Symptom Inventory (BSI) from start to end of treatment (approximately 8 months after the start of treatment).
Second, the effectiveness of intensive PDT for PD in terms of pre-post effect sizes will be investigated as well as clinical significant change (CSC) and deterioration using reliable change indices (Jacobson & Truax, 1991) from baseline to treatment termination as well as 6-month and 1- and 2-year follow up, on the following outcomes: psychological distress (Brief Symptom Inventory; BSI), borderline personality disorder symptoms (Personality Assessment Inventory for BPD; PAI-BOR); personality functioning (Level of Personality Functioning Scale; LPFS), interpersonal functioning (Inventory of Interpersonal Problems; IIP), post-traumatic stress (Post-traumatic stress disorder Checklist for DSM-5; PCL-5), resilience (Connor-Davidson Resilience Scale; CD-RISC) and quality of life (EQ-5D).
Third, in order to ensure that existing therapies for PDs focus on the actual core processes that produce change, more research is needed to address why and how treatment for PD works (Kramer, 2018). The present study's secondary aim is therefore to investigate whether outcomes in intensive PDT are associated with a number of theoretically expected mechanisms of change. It has been argued that successful treatment for PDs fosters epistemic trust, that is, trust in communicated knowledge, which in turn allows for the re-emergence of learning from benign social influences, increasing resilience and reducing PD symptoms (Fonagy et al., 2019). Epistemic trust is thus theoretically considered a core change mechanism in all effective treatments for PD, however, no study to date has empirically tested this. The secondary objective of the present study is to investigate whether trajectories of change in epistemic trust, mistrust and credulity across treatment (as measured using the Epistemic Trust, Mistrust and Credulity Questionnaire, ETMCQ) are associated with the trajectories of symptom change across treatment (as measured using the Brief Symptom Inventory, BSI, and the Personality Assessment Inventory for borderline PD, PAI-BOR) using parallel process growth curve modeling (MacCallum et al., 1997). Mentalizing and therapeutic alliance are investigated as secondary change mechanisms to assess the relative importance of epistemic trust as a change mechanism in the treatment of PD.
This observational clinical study aims to recruit N = 110 PD patients consecutively admitted to a treatment unit that specializes in intensive PDT for PDs (Klipp, UPC KU Leuven, Belgium). Patients follow one of three programs that differ in treatment intensity: (1) inpatient treatment program (5 days a week), (2) day treatment program (4 days a week), and (3) a part-time outpatient treatment program of two half days per week. Patients attend one of these programs and stay in the program for at least 6 months (with an average duration of 8 months). For pragmatic reasons, patients are not randomized across the treatment programs. Sensitivity analyses will be performed and if appropriate given our sample size, differences in baseline characteristics and treatment effects between the programs will be investigated.
Self-report questionnaires on personality functioning, symptoms, resilience, quality of life, epistemic trust, mentalizing and the therapeutic alliance are filled out via REDCAP, an online platform, at baseline, after 3 and 6 months of treatment, at discharge, and 6-months and at 1 and 2 year follow-up. Automated invitations and reminders are sent via e-mail. Automated scoring and codebooks are implemented via REDCAP. A designated study data manager follows up participant progress and provides support. The data manager additionally logs drop-out including the reason for treatment termination and the occurrence of the following serious adverse events (SAE's): suicide attempt, life-threatening self-harm, patient death, serious injury or medical disease that requires hospitalization.
References:
American Psychiatric Association. (2013). Diagnositic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Publishing. https://doi.org/10.1176/appi.books.9780890425596.744053
Budge, S. L., Moore, J. T., Del Re, A. C., Wampold, B. E., Baardseth, T. P., & Nienhuis, J. B. (2013). The effectiveness of evidence-based treatments for personality disorders when comparing treatment-as-usual and bona fide treatments. Clin Psychol Rev, 33(8), 1057-1066. https://doi.org/10.1016/j.cpr.2013.08.003
Cristea, I. A., Gentili, C., Cotet, C. D., Palomba, D., Barbui, C., & Cuijpers, P. (2017). Efficacy of Psychotherapies for Borderline Personality Disorder: A Systematic Review and Meta-analysis. Jama Psychiatry, 74(4), 319-328. https://doi.org/10.1001/jamapsychiatry.2016.4287
Fonagy, P., Luyten, P., Allison, E., & Campbell, C. (2019). Mentalizing, Epistemic Trust and the Phenomenology of Psychotherapy. Psychopathology. https://doi.org/10.1159/000501526
Grant, B. F., Chou, S. P., Goldstein, R. B., Huang, B., Stinson, F. S., Saha, T. D., Smith, S. M., Dawson, D. A., Pulay, A. J., Pickering, R. P., & Ruan, W. J. (2008). Prevalence, correlates, disability, and comorbidity of DSM-IV borderline personality disorder: results from the Wave 2 National Epidemiologic Survey on Alcohol and Related Conditions. Journal of Clinical Psychiatry, 69(4), 533-545. https://doi.org/10.4088/jcp.v69n0404
Gregory, R. J., & Sachdeva, S. (2016). Naturalistic Outcomes of Evidence-Based Therapies for Borderline Personality Disorder at a Medical University Clinic. Am J Psychother, 70(2), 167-184. https://doi.org/10.1176/appi.psychotherapy.2016.70.2.167
Jacobson, N. S., & Truax, P. (1991). Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. J Consult Clin Psychol, 59(1), 12-19. https://doi.org/10.1037//0022-006x.59.1.12
Kramer, U. (2018). Mechanisms of Change in Treatments of Personality Disorders: Introduction to the Special Section. Journal of Personality Disorders, 32(Suppl), 1-11. https://doi.org/10.1521/pedi.2018.32.supp.1
Lowyck, B., Vermote, R., Verhaest, Y., Vandeneede, B., Wampers, M., Luyten, P., & Wampers, M. (2015). Hospitalization-based psychodynamic treatment for personality disorders: A five-year follow-up. Psychoanalytic Psychology, 32, 381-402. https://doi.org/10.1037/a0038959
MacCallum, R. C., Kim, C., Malarkey, W. B., & Kiecolt-Glaser, J. K. (1997). Studying multivariate change using multilevel models and latent curve models. Multivariate Behavioral Research, 32, 215-253. https://doi.org/10.1207/s15327906mbr3203
Malmivaara, A. (2015). Benchmarking Controlled Trial--a novel concept covering all observational effectiveness studies. Ann Med, 47(4), 332-340. https://doi.org/10.3109/07853890.2015.1027255
Storebø, O. J., Stoffers-Winterling, J. M., Völlm, B. A., Kongerslev, M. T., Mattivi, J. T., Jørgensen, M. S., Faltinsen, E., Todorovac, A., Sales, C. P., Callesen, H. E., Lieb, K., & Simonsen, E. (2020). Psychological therapies for people with borderline personality disorder. Cochrane Database Syst Rev, 5(5), Cd012955. https://doi.org/10.1002/14651858.CD012955.pub2
Winsper, C., Bilgin, A., Thompson, A., Marwaha, S., Chanen, A. M., Singh, S. P., Wang, A., & Furtado, V. (2020). The prevalence of personality disorders in the community: a global systematic review and meta-analysis. The British Journal of Psychiatry, 216(2), 69-78. https://doi.org/10.1192/bjp.2019.166
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Vlaams-Brabant
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Kortenberg, Vlaams-Brabant, Belgium, 3070
- University Psychiatric Center KU Leuven
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Individuals (male, female, non-binary or other) older than 18 years
- Meeting criteria for personality disorder as assessed by a psychiatrist and confirmed with the PID-5 and LFPS self-report scales
- Sufficient mastery of the Dutch language to follow treatment and complete questionnaires
- Agreeing to participate in the study following informed consent procedure
Exclusion Criteria:
- Substance abuse that would interfere with the ability to adhere to the treatment
- Acute psychotic symptoms as assessed by a psychiatrist
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Personality Disorder Patients
All patients consecutively admitted to the KLIPP treatment unit (UPC KU Leuven, Belgium) until the target sample size (N = 110) is reached.
All patients have been referred to this specialized treatment because of prominent personality disorder pathology and undergo multidisciplinary assessment by a psychiatrist, clinical psychologist and social worker.
|
The KLIPP treatment unit (UPC KU Leuven, campus Kortenberg) provides intensive psychodynamic treatment (PDT) for patients with different types of PDs.
There are three different programs that differ in treatment intensity: (1) inpatient treatment program (5 days a week), (2) day treatment program (4 days a week), and (3) a part-time outpatient treatment program of two half days per week.
Patients attend one of these programs and stay in the program for at least 6 months (with an average duration of 8 months).
The programs include individual and group psychodynamic psychotherapy as well as art, music and psychomotor therapy.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Changes in General Psychological Symptoms
Time Frame: From baseline to treatment termination (on average 9 months after the start of treatment)
|
Self-reported severity of general psychological symptoms as assessed using the Brief Symptom Inventory (BSI; Derogatis & Melisaratos, 1983).
|
From baseline to treatment termination (on average 9 months after the start of treatment)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Changes in Borderline Personality Disorder Symptom Severity
Time Frame: From baseline to treatment termination (on average 9 months after the start of treatment), and at 6-month, and one- and two-year follow-up
|
Self-reported severity of borderline symptomatology and assessed via the Personality Assessment Inventory - Borderline subscale (PAI-BOR; Distel et al. (2009)).
|
From baseline to treatment termination (on average 9 months after the start of treatment), and at 6-month, and one- and two-year follow-up
|
|
Changes in General Psychological Symptoms
Time Frame: From baseline to 6-month, and one- and two-year follow-up
|
Self-reported severity of general psychological symptoms as assessed using the Brief Symptom Inventory (BSI; Derogatis & Melisaratos, 1983).
|
From baseline to 6-month, and one- and two-year follow-up
|
|
Changes in Personality Functioning
Time Frame: From baseline to treatment termination (on average 9 months after the start of treatment), and 6-month, and one- and two-year follow-up
|
Self-reported severity of personality pathology, as measured using the Level of Personality Functioning Scale (LPFS; Hutsebaut et al., 2015)
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From baseline to treatment termination (on average 9 months after the start of treatment), and 6-month, and one- and two-year follow-up
|
|
Changes in Interpersonal Problems
Time Frame: From baseline to treatment termination (on average 9 months after the start of treatment), and 6-month, and one- and two-year follow-up
|
Self-reported severity of interpersonal problems assessed with the Inventory of Interpersonal Problems (IIP; Barkham et al., 1996)
|
From baseline to treatment termination (on average 9 months after the start of treatment), and 6-month, and one- and two-year follow-up
|
|
Changes in Symptoms of Post-traumatic Stress
Time Frame: From baseline to treatment termination (on average 9 months after the start of treatment), and 6-month, and one- and two-year follow-up
|
Self-reported severity of symptoms of Post-traumatic Stress Disorder (PTSD), assessed with the PTSD Checklist for DSM-5 (PCL-5; Van Praag et al., 2020)
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From baseline to treatment termination (on average 9 months after the start of treatment), and 6-month, and one- and two-year follow-up
|
|
Changes in Resilience
Time Frame: From baseline to treatment termination (on average 9 months after the start of treatment), and 6-month, and one- and two-year follow-up
|
Self-reported resilience to deal with life stressors, measured with the Connor-Davidson Resilience Scale (CD-RISC; Connor & Davidson, 2003)
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From baseline to treatment termination (on average 9 months after the start of treatment), and 6-month, and one- and two-year follow-up
|
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Changes in Quality of Life
Time Frame: From baseline to treatment termination (on average 9 months after the start of treatment), and 6-month, and one- and two-year follow-up
|
Self-reported health-related quality of life as assessed with the EuroQol Quality of life 5 dimensions (EQ-5D; Herdman et al., 2011)
|
From baseline to treatment termination (on average 9 months after the start of treatment), and 6-month, and one- and two-year follow-up
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change Mechanisms
Time Frame: At baseline, after 3 months of treatment, 6 months of treatment and at treatment termination (on average 9 months after the start of treatment)
|
We will investigate whether change trajectories across treatment in epistemic trust (Epistemic Trust, Mistrust and Credulity Questionnaire; ETMCQ) are associated with symptom change trajectories across treatment.
|
At baseline, after 3 months of treatment, 6 months of treatment and at treatment termination (on average 9 months after the start of treatment)
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Celine De Meulemeester, PhD, KU Leuven
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- S67356
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ANALYTIC_CODE
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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