边缘型人格障碍联合心智化治疗中治疗联盟与反思功能预测效度研究
Therapeutic alliance and predictive validity of reflective functioning in conjoint mentalization-based treatment for borderline personality disorder
一项针对边缘型人格障碍(BPD)的3年门诊心智化治疗(MBT)研究显示,个体治疗中治疗联盟各分量表初始水平令人满意,任务与目标维度有小幅显著提升;团体治疗中正向工作域初始水平低于满意范围,与团体成员的任务目标一致性有小幅显著改善。基线反思功能(RF)对两种治疗模式的治疗联盟均无显著预测作用。
Abstract
Objective:
Few studies have investigated the therapeutic alliance in treatment of patients with borderline personality disorder (BPD), particularly regarding alliance in group psychotherapy. This study aimed to investigate the development of therapeutic alliance in a 3-year outpatient mentalization-based treatment (MBT) program for BPD combining individual and group psychotherapy, and to examine whether reflective functioning (RF) predicted alliance development.
Method:
Patients with BPD or significant sub-threshold borderline personality pathology were included, with baseline data from 47 patients and longitudinal data from 42. Baseline assessment comprised diagnostic interviews, self-report measures, and interview-based measures of RF. Patient-reported alliance was assessed every 6 months using the Working Alliance Inventory (subscales Bond, Task and Goal) for individual psychotherapy and the Group Questionnaire (domains Positive Bond, Positive Work and Negative Relationship with their respective subscales) for group psychotherapy. Main statistical method was linear mixed models.
Results:
In individual psychotherapy, initial alliance levels were satisfactory across all subscales. Over the course of treatment, the Bond level remained stable, whereas Task and Goal showed small but statistically significant increases. In group psychotherapy, Positive Bond was high initially and stable during treatment. For the Positive Work domain and its two subscales, initial levels were below the satisfactory range. During treatment, there was a small but significant increase in agreement on tasks and goals with the other group members but not with the therapists. For the Negative Relationship domain and its three subscales, all estimates except one were within the satisfactory range initially. Initial level of the subscale Group Members was outside the satisfactory range, indicating somewhat strained relationships with the other group members. Longitudinally, there were no improvements for the domain or subscales. RF at baseline had no significant effect on the therapeutic alliance in either treatment modality.
Conclusion:
The study demonstrates overall satisfactory levels of therapeutic alliance in an MBT program for BPD but also indicates specific alliance-related challenges in the group psychotherapy component. Initial level of RF may not affect the therapeutic alliance in MBT treatment.
Clinical trial registration (if applicable):
ClinicalTrials.gov ID NCT04157907.
Introduction
Therapeutic alliance is a pan-theoretical concept applied across different treatment approaches and modalities, and one of the most investigated factors influencing treatment outcome (; Lo Coco et al., 2022; ). In the treatment of borderline personality disorder (BPD), establishing and maintaining a therapeutic alliance can be particularly challenging, thus potentially undermining treatment compliance and outcome (Notsu et al., 2024; Levy et al., 2010). Yet, empirical research on alliance in the treatment of BPD remains limited, especially regarding how it develops over the course of therapy (; Kratzer et al., 2024). The present study examines the levels and course of the therapeutic alliance and the predictive validity of reflective functioning in conjoint individual and group mentalization-based treatment (MBT) for BPD.
In individual psychotherapy, the alliance has been conceptualized in various ways, such as therapeutic alliance, helping alliance, or working alliance (Zetzel, 1956; Luborsky, 1976; ). In pan-theoretical model—widely influential in psychotherapy research—the working alliance comprises the affective bond between patient and therapist and their agreement on tasks and goals of treatment, thereby emphasizing the collaborative stance in the therapeutic dyad. In the present study, therapeutic alliance denotes alliance in both individual and group psychotherapy. In group psychotherapy, however, the conceptualization of the therapeutic alliance is more complex. Two dominant perspectives define it in terms of either the group's structural properties or the quality of the group relationships (Krogel et al., 2013). The group relationship structure is tripartite, i.e., the relationships of group member to therapist(s), group member to the other members, and group member to the group as a whole (). The qualitative aspects usually comprise group cohesion, group climate, alliance, and empathy, assessed by a range of different measures (; Krogel et al., 2013; ). The Group Questionnaire (GQ) is a self-report measure which assesses these variables as well as agreement on tasks and goals, across the tripartite group relationship structure, thereby integrating the two dominant views on therapeutic alliance in group psychotherapy (Krogel et al., 2013).
The alliance in individual psychotherapy has been extensively investigated, with strong evidence for its robust positive association with treatment outcome, with small-to-medium effect sizes (; ). Alliance in group psychotherapy has received less research attention, and findings regarding its association with clinical outcomes have been mixed. Nonetheless, it appears to be a contributing factor to patient improvement and lower dropout (Lo Coco et al., 2022; ; ; ; Stoffers-Winterling et al., 2022). For patients with BPD, however, research on the therapeutic alliance remains scarce, irrespective of treatment modality (; Kratzer et al., 2024; ). BPD is characterized by a pattern of instability in interpersonal relationships, self-image, and affects, and marked impulsivity (). It is a highly prevalent and debilitating condition associated with poor quality of life, impaired psychosocial functioning, and high societal costs of illness (; Wibbelink et al., 2025; Sveen et al., 2024). Over the last decades, there has been growing treatment optimism regarding BPD, and there is reasonable evidence that psychotherapeutic interventions, including MBT, are helpful for this condition (Stoffers-Winterling et al., 2022; Yin et al., 2026; Storebo et al., 2020).
Yet, several characteristic features of BPD may impact the development and stability of the therapeutic alliance, such as insecure or disorganized attachment, epistemic mistrust (i.e., an impaired capacity to recognize others as reliable and relevant sources of information and to remain open to knowledge transmission), unstable emotional and cognitive states, high sensitivity to perceived misunderstanding or rejection, proneness to regression and acting out, and alternating idealization and devaluation of the therapist or fellow patients (; Skodol et al., 2002; ; Nolte et al., 2023). Therapeutic alliance is emphasized as a crucial but vulnerable factor in the treatment of BPD, but only a few studies report on the longitudinal development of alliance (; Kratzer et al., 2024). In a study of skills use and treatment processes in dialectical behavior therapy (DBT), the therapeutic alliance was assessed by self-report every 2 months over 1 year (N = 70), with alliance levels found to be satisfactory early in treatment and stable across the study period (). In another study (N = 101), the alliance in DBT was compared with community treatment by experts (). During the 1-year treatment, patient-rated alliance was assessed after the first session and at 4-month intervals until termination. In both treatments, alliance levels were satisfactory initially and increased toward the end of treatment.
Group psychotherapy is a common treatment format for BPD, yet research on the development of therapeutic alliance in this context is limited. In a 30-session randomized, controlled trial for BPD, patient-rated therapeutic alliance was assessed early (session 3) and later (session 8) in, respectively, interpersonal group psychotherapy (n = 16) and individual dynamic psychotherapy (n = 18; Marziali et al., 1999). In both modalities, the alliance was rated as moderately positive at both time points, with no statistically significant differences between early and later ratings. Moreover, in a study of a 20-week DBT skills group for patients with suicidal behaviors and BPD (N = 42), alliance was assessed repeatedly during treatment (Stratton et al., 2020). Initial alliance was considered below satisfactory levels (), but due to missing data, it was not possible to draw valid conclusions about the longitudinal development.
With regard to MBT for BPD, only one study has investigated the development of working alliance during treatment (). It was conducted during an earlier period at the same clinic as the present study, focusing solely on the individual therapy. Initial levels of alliance were satisfactory, and good-outcome therapies were characterized by a process in which the alliance strengthened over time. However, MBT is typically provided as a combined individual and group treatment, with the latter regarded as a core treatment component (; Karterud and Bateman, 2010). To our knowledge, no study has examined the development of the therapeutic alliance in outpatient MBT programs for BPD, focusing on both individual and group therapy.
Despite alliance challenges in BPD treatment, few studies have investigated patient characteristics that may affect it. Studies investigating the significance of current symptom distress have shown inconsistent results. In the study of Marziali et al. (1999), neither pretreatment symptom distress nor social functioning affected the alliance, whereas more pretreatment problem behaviors predicted poorer patient-rated alliance in the group therapy. In the study of DBT and supportive therapy by Richardson-Vejlgaard et al. (2013), however, higher baseline patient-reported depression, anxiety, and hopelessness predicted lower patient-rated alliance after 2 months of treatment. A few other studies have examined personality or variables related to personality functioning. High agreeableness predicted stronger session-by-session working alliance in short-term Good Psychiatric Management for BPD (Kramer et al., 2023). Poorer executive attention was associated with lower working alliance across three different treatments for BPD, but this relationship was mediated by vacillations in sense of self and others (Levy et al., 2010). In a cross-sectional study of inpatient MBT group therapy, interpersonal sensitivity, in terms of threat of potential exclusion, was found to predict alliance impairments ().
One possible patient-related predictor of therapeutic alliance is mentalizing capacity, a social-cognitive capacity operationalized as reflective functioning (RF), referring to the ability to understand one's own and others' behavior in terms of underlying mental states (). A growing body of research indicates that impaired RF characterizes many forms of psychopathology, but is a core feature of BPD, where patients typically show low and fluctuating RF (Luyten et al., 2020). Research suggests that RF may moderate psychotherapy outcome and might be a mediator of change (Luyten et al., 2024). RF has also been theorized to foster epistemic trust, thereby potentially enhancing treatment engagement and alliance in psychotherapeutic settings (; Nolte et al., 2023; ; ; Jørgensen et al., 2021). Against this theoretical and empirical backdrop, it has been assumed that the stimulation of the mentalizing capacity is a common mechanism of effective psychotherapies, given that psychotherapeutic processes across modalities invariably involve some degree of mentalizing (Jain and Fonagy, 2020; ). A recent systematic review, however, has provided a more differentiated picture by demonstrating that psychoanalytic and psychodynamic therapies produce greater improvements in RF than CBT (Luyten et al., 2024). In MBT, which is rooted in contemporary psychodynamic theory, psychoanalysis, and attachment theory, RF is an explicit treatment target, and for patients with BPD an important treatment outcome in its own right (Leichsenring et al., 2024; ). The typically low levels of pretreatment RF may undermine emotional regulation, interpersonal trust, and the collaborative engagement necessary to establish and sustain a satisfactory alliance (; Kivity et al., 2021). Although RF can improve over the course of therapy, for many patients these changes may be modest, and impaired RF thus may remain a clinically relevant vulnerability (Katznelson, 2014; ). Despite the theoretical rationale linking pretreatment RF with the establishment and development of the alliance, findings from the limited empirical research on the predictive validity of RF for the alliance have been inconsistent. In a study of a brief psychological treatment for patients with BPD, better metacognitive capacity—a construct overlapping with RF—had a positive predictive effect on therapist-rated but not on patient-rated alliance (). A study of MBT for BPD administered MASC (Movie for the Assessment of Social Cognition) pretreatment to assess social cognition (Kvarstein et al., 2020). Unexpectedly, hypermentalizing (excessive and flawed mentalizing) was associated with greater improvement of alliance over time, while hypomentalizing (reduced capacity to understand and reflect on one's own and others‘ mental states) did not impact alliance development. Regarding other conditions than BPD, results are also inconsistent. In a depression study (), two types of RF measures were applied, i.e., depression-specific RF (DSRF) and global RF (RF). Both lower pretreatment DSRF and RF predicted lower therapist-rated working alliance during treatment. However, for patient-rated alliance, RF had no predictive effect, whereas lower DSRF predicted lower patient-rated alliance. In addition, a study of bulimia nervosa found that higher pretreatment RF significantly predicted better observer-rated alliance (Katznelson et al., 2020).
In sum, there is insufficient knowledge regarding how the therapeutic alliance develops in MBT programs for BPD with conjoint individual and group psychotherapy, and whether RF predicts this development. The primary aim of this study was to investigate the development of the therapeutic alliance in an outpatient MBT program for BPD addressing both the individual and group therapy. Our hypotheses were that the alliance in individual therapy would be in the medium to high range in the first part of treatment, whereas for group therapy the therapeutic alliance would be in the medium range, and for both modalities the alliance would gradually improve through the course of treatment. The secondary aim was to investigate the predictive value of RF for the therapeutic alliance. Our hypothesis was that a higher pretreatment level of RF would be associated with a more positive development of the therapeutic alliance in individual and group therapy.
Materials and methods
Design, sample, and treatment setting
The study has a longitudinal, observational design and was conducted from October 2019 to March 2025 as part of the project “Reflective functioning and psychotherapy processes in MBT” at Oslo University Hospital, in an outpatient clinic for patients with personality disorder (PD). It comprises baseline data from 47 patients, and longitudinal data from 42. Patients were referred to the clinic internally within the specialist mental health service. The outpatient clinic is part of the Norwegian Network for Personality Disorders (The Network), a cross-regional collaboration of PD treatment units (Pedersen et al., 2022).
Treatment
After an initial diagnostic assessment, patients with BPD or significant BPD traits were offered treatment in the MBT program (Karterud and Bateman, 2010; Karterud, 2019, 2012). Patients with alcohol or substance dependency, autism spectrum disorder, cognitive impairment, bipolar disorder type I, schizoaffective disorder, and schizophrenia were not included in the MBT program. As a general rule, if any of these conditions developed or were uncovered during treatment, participants were withdrawn from the program and transferred to other, more appropriate services. The MBT format comprised conjoint individual and group therapies, i.e., the patients' individual therapist was different from their group therapists. The treatment program had a maximum duration of 3 years. MBT individual therapy was delivered as weekly sessions the first year, every other week the second year, and every 2–4 weeks the third year. MBT groups began with initial psychoeducation (MBT-introductory group, 11 sessions, Karterud, 2019), followed by allocation to weekly group therapy (MBT-G). The groups were led by two therapists and consisted of up to eight patients in a slow-open format, with new patients joining as others left the group. The group sessions were structured according to the MBT manual (Karterud, 2012), with a main focus on exploration of interpersonal incidents aiming at improving the mentalizing capacity of the group members. These incidents should preferably be recent and in close relationships, and the group members brought them into the group in a turn-taking fashion.
At the start of treatment, an MBT case formulation was collaboratively developed by the patient and individual therapist, focusing on the patient's tasks and goals of therapy and potential challenges in the therapy process. The case formulation was revised in the individual therapy sessions as needed during the treatment (Karterud and Bateman, 2010; ; Karterud and Kongerslev, 2019). MBT therapists collaborated closely in a treatment team with regular case discussions and weekly group-based supervision of video-taped individual and group therapy sessions, in accordance with MBT manuals (Karterud and Bateman, 2010; Karterud, 2019, 2012; Kvarstein et al., 2025). To facilitate therapist-patient collaboration, “mini-team” meetings between patient, individual and group therapists were held regularly to evaluate process and progress, with additional meetings convened when therapy was threatened by interpersonal challenges.
Therapist qualifications and MBT fidelity
The majority of therapists were clinical psychologists, psychologists in postgraduate training, and psychiatrists. Other professions included one resident doctor, two social workers, one psychiatric nurse, and one occupational therapist. Basic knowledge of and training in MBT was emphasized. Eight were qualified MBT therapists, five had advanced training in psychodynamic psychotherapy, and eight had advanced training in group psychotherapy. Several therapists held more than one of these qualifications.
MBT fidelity of the individual therapists was assessed 6 months into treatment by an expert-rater affiliated with the Quality Laboratory of Psychotherapy. A total of 11 video-recorded individual therapy sessions conducted by 10 therapists were assessed based on the MBT Adherence and Competence Scale (Karterud et al., 2013). The scale ranges from 1 to 7, adherence and competence are scored separately, and a score of 4 or higher indicates adequate levels. Mean MBT adherence was 4.3 (SD = 0.8) and mean MBT competence was 4.5 (SD = 0.9). In this study, MBT fidelity for group therapists was not assessed. However, in a period prior to the study period, MBT fidelity was assessed and found satisfactory both for individual and group therapists (Kvarstein et al., 2020; ).
Pretreatment assessment of diagnoses
Diagnostic evaluation was performed according to DSM-5 () by the clinicians at the outpatient clinic. All diagnoses were verified by a specialist in psychiatry or clinical psychology. Symptom disorders were assessed with the Mini-International Neuropsychiatric Interview (M.I.N.I.; Sheehan et al., 1994), and PDs with the Structured Clinical Interview for Section II DSM-5 Personality Disorders (SCID-5-PD; ).
Repeated assessments of therapeutic alliance
As part of common routines in the Network, patients filled in a battery of questionnaires in the assessment phase and every 6 months during treatment. Measures of alliance were applied from assessment point 6 months and onwards until treatment termination.
For individual therapy, the short and revised version of the Working Alliance Inventory was applied (WAI-SR; ; ). This measure has twelve items rated on a 7-point Likert scale (score 1: “Never,” score 4: “Several times,” score 7: “Always”) and comprises the three subscales Goal, Task, and Bond. They address, respectively, agreement on treatment goals, collaboration on tasks in therapy, and the patient's emotional bond with the therapist. Each subscale has four items. This study used a mean score for each subscale, and by convention a score of 4 or higher indicated satisfactory alliance. WAI-SR has demonstrated good psychometric properties and is widely used in research and clinical settings (Munder et al., 2010).
For the assessment of therapeutic alliance in group therapy, the Group Questionnaire (GQ) was used (Krogel et al., 2013; Krogel, 2008; Pedersen et al., 2023). GQ has 30 items rated on a 7-point Likert scale (in the Norwegian version score 1: “Strongly disagree,” score 4: “Neither agree nor disagree,” score 7: “Strongly agree”). GQ has three domains: Positive Bond (PB), Positive Work (PW), and Negative Relationship (NR). PB measures group climate, alliance, and group cohesion, PW the agreement on therapeutic tasks and goals, whereas NR measures experience of conflict, alliance rupture, and empathic failure. Moreover, the domains have subscales, eight altogether, reflecting the tripartite relationship structure in group therapy, i.e., member-group, member-therapist(s), and member-member. See Figure 1 for description of GQ subscales. This study used a mean score for each domain and subscale, and according to the scale a score of 4 represents a neutral response. For PB and PW and their subscales, higher scores indicate better group relationships, whereas the scale is reversed for NR and its subscales. GQ norms for different clinical populations are not established (Janis et al., 2018). In the present study, scores 5 or higher for PB and PW and their subscales, and 3 or lower for NR and its subscales were interpreted as satisfactory therapeutic alliance. GQ has demonstrated satisfactory psychometric properties, also in PD samples (Pedersen et al., 2023; Janis et al., 2018; ; van den Heuvel et al., 2025).
Figure 1
Assessment of reflective functioning
Two interviews were applied to assess RF in the initial evaluation. The Adult Attachment Interview (AAI; ) was conducted by two specially trained researchers (TW & external researcher). This is a semi-structured interview lasting approximately one hour, addressing the individual's experiences of childhood relationships with the primary caregivers and their influences on the individual as an adult. Verbatim transcripts of the interviews were scored using the Reflective Functioning Scale (RFS) resulting in a global RF score (). RFS is an eleven-point scale ranging from −1 (anti-reflective) to + 9 (exceptional reflective). Further details on scoring procedure are described in a previous publication (Ulvestad et al., 2024). RF based on the AAI (AAI-RF) is considered the gold standard for RF assessment and has shown to be a valid and reliable measure of RF also in BPD-samples (; Katznelson, 2014; Taubner et al., 2013). In the present project, interrater reliability for the two AAI-RF raters was estimated using the Intra-class Correlation Coefficient (ICC). The ICC was 0.85 (95% CI: 0.27–0.97), indicating good reliability (Ulvestad et al., 2024; Koo and Li, 2016).
The Mentalization Breakdown Interview (MBI; Ulvestad et al., 2023) is a recently developed RF assessment method that the clinicians conducted as part of the initial assessment. This semi-structured 30-min interview explores a recent and preferably severe episode of mentalizing breakdown in a close relationship. Based on video recording of this exploration, independent certified RF-raters assigned an RF score (MBI-RF) using the RFS (). Further details on the MBI and scoring procedure are described in previous publications (Ulvestad et al., 2024, 2023), which also provide preliminary support for the MBI as a reliable and valid BPD-specific RF assessment method. The ICC for the three MBI-RF raters was 0.81 (95% CI: 0.61–0.92), indicating good reliability.
Other descriptive data
Patient self-report on demographics, former treatment experience, and former (lifetime) experiences of self-harming and suicidal acts was obtained during the initial assessment.
Personality functioning was assessed with the Level of Personality Functioning Scale-Brief Form, second version (LPFS-BF 2.0; Weekers et al., 2019), a patient self-report based on the Level of Personality Functioning Scale in DSM-5 AMPD (Alternative Model of Personality Disorders, Section III; ). LPFS-BF has 12 items clustered in the two domains self-functioning (Self) and interpersonal functioning (Other). Two different response formats exist for LPFS-BF 2.0, and in this study the 0–3 format was applied. The sum score of Self and Other is reported (LPFS-BF Total), where the thresholds indicating, respectively, mild, moderate, severe, and extreme personality dysfunction are 14, 19, 24, and 29 (Weekers et al., 2023; ).
Depressive symptoms were measured with the Patient Health Questionnaire, Depression (PHQ-9; Kroenke et al., 2001), and generalized anxiety with the Generalized Anxiety Disorder-7 (GAD-7; Spitzer et al., 2006). These self-report measures apply a four-point (0–3) Likert scale and sum scores ≥ 10 indicate clinically relevant symptoms (; Kroenke et al., 2007).
Social and occupational functioning was assessed with the Work and Social Adjustment Scale (WSAS; Mundt et al., 2002), a self-report questionnaire with five items rated on a nine-point Likert scale (0–8). Sum scores define impairment levels as follows: mild-to-no (< 15), moderate-to-severe (15–30), and extreme (>30; Mataix-Cols et al., 2005). The clinicians assessed psychosocial functioning using the Global Functioning Scale (GFS; Pedersen et al., 2018). The GFS gives scores (range 0–100) of both symptom severity and social impairment, where the lower of the two scores is reported here. Clinical levels are by convention indicated by GFS < 60.
Participants
Sociodemographic and clinical status at pretreatment assessment is presented in Table 1. The vast majority of the patients were females in a young adult group (M = 23.2, SD = 3.3; range 19–30 years). Scores on GFS and WSAS indicated moderate to severe impairment of social functioning, as did scores reflecting symptom distress (PHQ-9 and GAD 7). The LPFS-BF sum score confirmed impaired personality functioning at a level indicating moderate personality dysfunction. The mean level of RF was 2.3 (SD = 1.0) for AAI and 2.0 (SD = 1.0) for MBI. According to the RFS, these levels fall between absent RF (RF = 1) and questionable RF (RF = 3), indicating significant problems with mentalizing at a level typically seen in patients with severe personality pathology. RF at this level indicates that the patient has marked difficulty understanding their own and others' behavior in terms of inner thoughts and feelings, instead relying on concrete explanations, clichés, and rigid assumptions (). Clinically, this makes the patient highly vulnerable to misinterpreting others' intentions and feeling easily rejected or mistreated, which, under emotional or relational stress, often leads to rapid escalation of distress, conflicts, and impulsive or dysregulated reactions (Luyten et al., 2020). The RF scores were in the range 0–5 for both measures, with the majority of scores in the range 1–3. The vast majority had former experience of self-harm, 36% started before age 13 years, and 68% reported self-harm last 6 months, 26% daily or weekly last 6 months. Most patients reported considerable former experience of treatment within mental health services, and 45% had previous hospital admissions.
Table 1
| Percent | Mean (SD) | |
|---|---|---|
| Demographics | ||
| Age | 23.2 (3.3) | |
| Female | 87 | |
| Cohabiting or married | 19 | |
| Years education after mandatory school (age 6–16) | 3.8 (2.4) | |
| Months > 50% work/study last 6 months | 3.0 (2.8) | |
| Former treatment experience | ||
| Previous treatment in mental health services | 87 | |
| More than two treatment series | 51 | |
| First treatment < 18 years of age | 75 | |
| Previous hospital admissions | 45 | |
| Functioning | ||
| Global functioning (GFS) | 51.7 (4.6) | |
| Work and social impairment (WSAS) | 24.4 (6.7) | |
| Level of personality functioning (LPFS-BF total) | 21.9 (5.2) | |
| Reflective functioning | ||
| AAI-RF | 2.3 (1.0) | |
| MBI-RF | 2.0 (1.0) | |
| Symptom distress | ||
| Depression (PHQ-9) | 20.7 (3.6) | |
| Anxiety (GAD-7) | 13.7 (5.0) | |
| Self-harming and suicide attempts | ||
| Self-harm, lifetime | 89 | |
| Self-harm < 13 years of age | 36 | |
| Self-harm, last 6 months | 68 | |
| Self-harm, daily or weekly last 6 months | 26 | |
| Suicide attempt, lifetime | 62 | |
| Suicide attempt < 13 years of age | 4 | |
| Suicide attempt, last 6 months | 13 | |
Demographic and clinical status at initial assessment.
This table presents demographic and clinical status at initial assessment (n = 47).
GFS, Global Functioning Scale; WSAS, Work and Social Adjustment Scale; LPFS-BF, the Level of Personality Functioning Scale-Brief Form; AAI-RF, Reflective Functioning scored from the Adult Attachment Interview; MBI-RF, Reflective Functioning scored from the Mentalization Breakdown Interview; PHQ-9, Patient Health Questionnaire, Depression; GAD-7, Generalized Anxiety Disorder-7.
Diagnostic status is presented in Table 2. In line with the target group for the MBT program, 83% had a BPD diagnosis, and 91% four or more fulfilled BPD criteria. Mean number of BPD criteria was 6.0 (SD = 1.8). Avoidant PD (AvPD) was the most common co-occurring PD. All patients except one had one or more PD diagnoses (81% had one PD, 11% two, and 6% three). Mean number of SCID-5-PD criteria was 13.5 (SD = 5.2). The mean number of other mental disorders was 1.2 (SD = 1.4). Almost one third of the patients qualified for a current diagnosis of major depression, with PTSD (19%) being the next most prevalent comorbid mental disorder.
Table 2
| Percent | Mean (SD) | |
|---|---|---|
| Personality disorders | ||
| Schizoid & schizotypal | 0 | |
| Paranoid | 2 | |
| Antisocial | 0 | |
| Narcissistic & histrionic | 0 | |
| Borderline | 85 | |
| Avoidant | 17 | |
| Dependent | 4 | |
| Obsessive compulsive | 4 | |
| PD NOS | 9 | |
| Severity of personality difficulties | ||
| Total number of SCID-5-PD criteria | 13.5 (5.2) | |
| Number of BPD criteria | 6.0 (1.8) | |
| Number of PD diagnoses | 1.2 (0.6) | |
| Mental disorders | ||
| Number of diagnoses | 1.2 (1.4) | |
| Major depression | 32 | |
| PTSD | 19 | |
| Agoraphobia with panic disorder | 13 | |
| Eating disorder NOS | 11 | |
| GAD | 6 | |
Diagnostic status at initial assessment.
This table presents diagnostic status for patients at initial assessment (n = 47).
PD NOS, personality disorder not otherwise specified; PTSD, post-traumatic stress disorder; GAD, generalized anxiety disorder.
Statistics
All analyses used SPSS Statistics for Windows, Version 30 (). Linear mixed models (LMM) based on maximum likelihood statistics were the main statistical method (; Singer and Willett, 2003). All models applied the continuous time-variable “months from first assessment.” Time was coded such that 0 corresponded to the first assessment of alliance, i.e., at 6 months. The estimated intercepts thus reflect levels at that time. To assess the model fit, log-likelihood ratio test (-2LL) and Akaike Information Criterion (AIC) were used, where smaller is better.
Longitudinal analyses
The primary aim of the study was addressed using LMM, with patient self-reports of the therapeutic alliance as dependent variables, i.e., the three subscales of WAI-SR (Goal, Task, and Bond), and for GQ the three domains (PB, PW, and NR) and the eight subscales described above. Thus, altogether fourteen linear change models for the dependent variables. For all except one, the best-fitted models included linear time, random intercept and slope, and unstructured covariance. Due to lack of model convergence, the best-fitted model for the dependent variable Group as a whole-subscale of GQ NR included linear time, random intercept, fixed slope, and covariance structure Identity. For this model, variation in slopes was therefore not estimated.
Longitudinal, 6–30 month effect sizes (ES) were based on LMM predicted values. They were calculated according to Cohen's d; small ES: d = 0.2, medium d = 0.5, large d = 0.8 (). Six months was the first assessment point for the therapeutic alliance, and 30 months was the assessment point closest to mean treatment duration (27 months).
The secondary aim of the study was addressed by adding AAI-RF and MBI-RF as baseline predictors in the WAI-SR and GQ models given above.
Sample size and number of repeated measurements
For the longitudinal analyses a subsample of 42 was applied, in which all participants had repeated assessments of WAI (M = 3.6, SD = 1.8) and GQ (M = 3.2, SD = 1.8). 75% had three or more WAI assessments, and 66% had three or more GQ assessments.
Missing and unbalanced data
In this naturalistic design, missing assessments may be due to multiple factors. Generally, an important cause of missing data are errors in the administration of paper-based questionnaires. To investigate potential bias from missing assessments on the development of the therapeutic alliance, variables counting the number of WAI and GQ assessments were included as predictors in separate models for the dependent variables (; Kvarstein et al., 2023). In these models, the number of assessments did not predict deviating change patterns in the dependent variables (p > 0.05).
Although the MBT program had a recommended long-term duration, actual treatment duration varied within the sample, and shorter treatment necessarily resulted in fewer assessments. Treatment duration was therefore also investigated as a longitudinal predictor in separate models for all dependent variables. In these models, treatment duration was not associated with deviating longitudinal change in any of the WAI or GQ variables (p > 0.05).
Results
Treatment duration and dropout
Mean treatment duration was 27 months (SD = 13), with a median of 31 (range 0–45). Early dropout, defined as treatment lasting less than 6 months irrespective of reason, was 6%. Overall, 87% remained in treatment for at least 12 months, whereas 65% remained for 18 months or more.
Therapeutic alliance in individual therapy
As presented in Table 3 and Figure 2, LMM analyses demonstrated satisfactory levels of alliance (≥ 4) in individual therapy at the first assessment. For all three subscales of WAI the levels were above five (5.1–5.4) in this early phase. Regarding the monthly rate of change, the Bond level was generally stable, though trending toward minor improvement over time (p = 0.086), with a 6–30-month ES of d = 0.19. For Task and Goal, slope increase was small but statistically significant (p = 0.011 and p = 0.028, respectively), with 6–30-month LMM-based ES of d = 0.20 and d = 0.26. According to variance components in LMM, there was no significant longitudinal between-patient variation for Bond and Task, whereas for Goal there was a significant but minimal longitudinal between-patient variation.
Figure 2
Table 3
| Model specification | Predictors | Fixed effects: estimates for linear trajectories | Variance components | Model Fit | |||||
|---|---|---|---|---|---|---|---|---|---|
| Intercept (SE) | p | Slope (SE) | p | Intercept (SE) | Slope (SE) | −2LL | AIC | ||
| WAI Bond | 5.38 (0.21) | < 0.001 | 0.008 (0.005) | 0.086 | 1.34 (0.40)** | 0.00 (0.0) | 490 | 502 | |
| Separate predictor models | AAI-RF | −0.019 (0.21) | 0.930 | 0.007 (0.005) | 0.125 | 0▴ | 0▴ | 503 | |
| MBI-RF | −0.22 (0.20) | 0.284 | 0.007 (0.005) | 0.161 | 3▴ | 0▴ | 503 | ||
| WAI Task | 5.13 (0.25) | < 0.001 | 0.012 (0.005) | 0.011 | 2.26 (0.57)** | 0.00 (0.0) | 469 | 481 | |
| Separate predictor models | AAI-RF | 0.24 (0.25) | 0.346 | −0.001 (0.005) | 0.795 | 3▴ | 0▴ | 484 | |
| MBI-RF | 0.04 (0.24) | 0.875 | −0.003 (0.005) | 0.578 | 0▴ | 0▴ | 485 | ||
| WAI Goal | 5.05 (0.23) | < 0.001 | 0.014 (0.006) | 0.028 | 1.88 (0.49)** | 0.001 (0.0)** | 498 | 510 | |
| Separate predictor models | AAI-RF | 0.27 (0.24) | 0.272 | −0.005 (0.006) | 0.446 | 3▴ | 0▴ | 513 | |
| MBI-RF | 0.15 (0.23) | 0.519 | −0.011 (0.006) | 0.073 | 5▴ | 0▴ | 511 | ||
WAI—longitudinal trajectories and relation to reflective functioning.
This table presents LMM estimates (n = 42) of baseline levels (intercept) and monthly rates of change (slope) for three dependent variables, separate predictor analyses, and variance estimates. Significant variance estimates are indicated by *p < 0.05 and **p < 0.01. ▴ indicates percent explained variance; the open model (without predictors) is used as the reference model. Model fit is indicated by the log-likelihood ratio statistic (−2LL) and Akaike Information Criterion (AIC), where smaller is better.
Therapeutic alliance in group therapy
LMM analyses of the three GQ domains and its eight subscales are presented in Table 4, whereas the longitudinal trajectories of the eight subscales are illustrated in Figure 3.
Figure 3
Table 4
| Model specification | Predictors | Fixed effects: estimates for linear trajectories | Variance components | Model fit | |||||
|---|---|---|---|---|---|---|---|---|---|
| Intercept (SE) | p | Slope (SE) | p | Intercept (SE) | Slope (SE) | −2LL | AIC | ||
| Positive Bond (PB) | 5.36 (0.19) | < 0.001 | 0.001 (0.005) | 0.908 | 1.07 (0.32)** | 0.00 (0.0) | 379 | 391 | |
| Separate predictor models | AAI-RF | 0.07 (0.19) | 0.713 | 0.004 (0.005) | 0.432 | 1▴ | 0▴ | 394 | |
| MBI-RF | −0.07 (0.18) | 0.690 | −0.003 (0.004) | 0.530 | 0▴ | 0▴ | 394 | ||
| PB—group as a whole | 5.34 (0.18) | < 0.001 | −0.003 (0.005) | 0.553 | 0.86 (0.30)** | 0.00 (0.0) | 399 | 411 | |
| Separate predictor models | AAI-RF | 0.03 (0.19) | 0.866 | 0.003 (0.005) | 0.523 | 1▴ | 0▴ | 414 | |
| MBI-RF | −0.08 (0.18) | 0.642 | −0.003 (0.005) | 0.569 | 1▴ | 0▴ | 414 | ||
| PB—therapist | 5.56 (0.23) | < 0.001 | −0.002 (0.005) | 0.755 | 1.64 (0.48)** | 0.00 (0.0) | 429 | 441 | |
| Separate predictor models | AAI-RF | 0.09 (0.24) | 0.713 | 0.003 (0.005) | 0.518 | 1▴ | 0▴ | 444 | |
| MBI-RF | −0.06 | 0.774 | −0.006 (0.005) | 0.213 | 0▴ | 0▴ | 443 | ||
| PB—group members | 5.20 (0.21) | < 0.001 | 0.006 (0.006) | 0.324 | 1.25 (0.40)** | 0.001 (0.0)* | 431 | 443 | |
| Separate predictor models | AAI-RF | 0.11 (0.22) | 0.618 | 0.004 (0.006) | 0.553 | 2▴ | 0▴ | 446 | |
| MBI-RF | −0.07 (0.21) | 0.727 | 0.000 (0.006) | 0.962 | 1▴ | 0▴ | 447 | ||
| Positive Work (PW) | 4.09 (0.25) | < 0.001 | 0.016 (0.007) | 0.019 | 2.00 (0.57)** | 0.001 (0.0)* | 461 | 473 | |
| Separate predictor models | AAI-RF | −0.04 (0.26) | 0.869 | 0.005 (0.007) | 0.497 | 0▴ | 0▴ | 477 | |
| MBI-RF | −0.07 (0.25) | 0.788 | −0.002 (0.007) | 0.711 | 0▴ | 0▴ | 477 | ||
| PW—therapist | 4.25 (0.26) | < 0.001 | 0.012 (0.007) | 0.089 | 2.12 (0.62)** | 0.001 (0.0)* | 479 | 491 | |
| Separate predictor models | AAI-RF | −0.11 (0.27) | 0.702 | 0.007 (0.007) | 0.319 | 0.5▴ | 0▴ | 494 | |
| MBI-RF | −0.10 (0.26) | 0.707 | −0.003 (0.007) | 0.706 | 0▴ | 0▴ | 494 | ||
| PW—group members | 3.92 (0.26) | < 0.001 | 0.021 (0.007) | 0.007 | 1.81 (0.58)** | 0.001 (0.0)* | 500 | 512 | |
| Separate predictor models | AAI-RF | 0.02 (0.27) | 0.942 | 0.002 (0.008) | 0.779 | 0▴ | 0▴ | 516 | |
| MBI-RF | −0.05 (0.25) | 0.860 | −0.002 (0.007) | 0.763 | 0▴ | 0▴ | 516 | ||
| Negative Relationship (NR) | 3.05 (0.18) | < 0.001 | 0.006 (0.005) | 0.217 | 0.92 (0.29)** | 0.00 (0.0) | 382 | 394 | |
| Separate predictor models | AAI-RF | −0.12 (0.18) | 0.504 | −0.004 (0.005) | 0.444 | 3▴ | 0▴ | 396 | |
| MBI-RF | −0.03 (0.18) | 0.856 | 0.003 (0.004) | 0.550 | 0▴ | 0▴ | 397 | ||
| NR—group as a whole | 2.91 (0.19) | < 0.001 | 0.008 (0.006) | 0.145 | 0.55 (0.20)** | 463 | 471 | ||
| Separate predictor models | AAI-RF | −0.14 (0.19) | 0.485 | −0.002 (0.006) | 0.744 | 5▴ | 473 | ||
| MBI-RF | −0.06 (0.19) | 0.765 | 0.002 (0.006) | 0.698 | 0▴ | 475 | |||
| NR—therapist | 3.03 (0.23) | < 0.001 | 0.006 (0.005) | 0.210 | 1.62 (0.49)** | 0.00 (0.0) | 451 | 463 | |
| Separate predictor models | AAI-RF | −0.14 (0.24) | 0.558 | −0.005 (0.005) | 0.372 | 2▴ | 0▴ | 466 | |
| MBI-RF | 0.03 (0.23) | 0.894 | 0.003 (0.005) | 0.510 | 0▴ | 0▴ | 466 | ||
| NR—group members | 3.18 (0.23) | < 0.001 | 0.003 (0.007) | 0.610 | 1.39 (0.49)** | 0.001 (0.0) | 471 | 483 | |
| Separate predictor models | AAI-RF | −0.07 (0.24) | 0.772 | −0.006 (0.007) | 0.400 | 2▴ | 0▴ | 486 | |
| MBI-RF | −0.03 (0.23) | 0.881 | 0.001 (0.006) | 0.886 | 0▴ | 0▴ | 487 | ||
GQ—longitudinal trajectories and relation to reflective functioning.
This table presents LMM estimates (n = 42) of baseline levels (intercept) and monthly rates of change (slope) for all dependent GQ variables, separate predictor analyses, and variance estimates. Significant variance estimates are indicated by *p < 0.05 and **p < 0.01. ▴ indicates percent explained variance; the open model (without predictors) is used as the reference model. Model fit is indicated by the log-likelihood ratio statistic (−2LL) and Akaike Information Criterion (AIC), where smaller is better.
For PB and the three subscales, the estimates for the first assessment were high (5.2–5.6), indicating satisfactory levels in the early phase of group therapy. The estimated slopes for PB and the subscales were not significant, indicating stable levels of group climate, alliance and group cohesion as the treatment progressed. The 6–30-month ES for the domain was d = 0.01, and for the subscales d = −0.10 (Group as a Whole), d = −0.03 (Therapist), and d = 0.14 (Group Members).
For PW and the two subscales, the estimates for the first assessment (3.9–4.3) were lower than PB and below the satisfactory range. The longitudinal improvement was however significant for the PW domain (p = 0.019), with a small-to-medium ES (d = 0.30). The estimate for the first assessments was 4.1 for the domain, and for the subscales, respectively, 4.3 (Therapist) and 3.9 (Group Members). The slope for PW Therapist did not reach statistical significance (p = 0.089), and the ES was small (d = 0.22). For PW Group Members, the longitudinal change was significant (p = 0.007) approaching a medium ES (d = 0.43), indicating an increasing agreement with the other group members on tasks and goals in therapy.
For NR, the scale is reversed, and levels above 3 can indicate unsatisfactory group relationships. The estimate for the first assessment was 3.0 for the domain, and for the subscales, respectively, 2.9 (Group as a Whole), 3.0 (Therapist), and 3.2 (Group Members). Thus, all estimates except one were within the satisfactory range. Despite small differences between the subscales, the estimate for Group Members indicated some challenges in the relationship with the other group members in the early phases of the treatment. Moreover, there was no significant longitudinal reduction for neither the NR domain, nor its subscales. The 6–30-month ES were, respectively, d = 0.15 (domain), d = 0.33 (Group as a Whole), d = 0.12 (Therapist), and d = 0.08 (Group Members). To summarize, there was no statistically significant improvement in terms of experience of conflict, alliance ruptures, or emphatic failures in the group relationships during treatment.
According to variance components in LMM, there were no significant longitudinal between-patient variation for the domains PB and NR, whereas for PW there was a significant but minimal longitudinal between-patient variation.
Predictive validity of reflective functioning
The separate models with AAI-RF and MBI-RF as predictors are presented in Tables 3, 4. None of the predictor models improved model fit. Neither AAI-RF nor MBI-RF at baseline had significant effects on intercept or slope for WAI or GQ with its subscales.
Discussion
This study examines the development of the therapeutic alliance in an outpatient MBT program for BPD, focusing on both the individual and group psychotherapy, and whether RF predicts the therapeutic alliance in this context. The patients in this study presented with substantial symptom severity, low levels of RF, and marked functional impairment, typical of MBT target populations. Overall, the findings indicate satisfactory levels of therapeutic alliance in the MBT program. The main findings will be discussed with an emphasis on clinical implications.
Sustained satisfactory therapeutic alliance in individual therapy
Consistent with our hypothesis, initial levels of alliance in the individual therapy were in the medium to high range, with Bond, Task, and Goal subscale levels comparable to those reported by in mentalization-based individual therapy and to the satisfactory initial alliance levels found in DBT for BPD (; ). In our study, agreement on tasks and goals improved slightly over the course of treatment, whereas, contrary to our expectation and the study of , the affective bond remained stable, with only a trend toward minor improvement over time. Yet, in , alliance levels were stable over the course of treatment, whereas in they gradually increased toward the end of treatment, also for the subscale assessing the affective bond. The repeated scores on Bond in our sample tended to cluster near the top of the scale, which raises the possibility of a ceiling effect (Meier, 2022; Paap et al., 2020). Nevertheless, given the target population, alliance levels in individual therapy were notably high, indicating that the MBT program effectively established and maintained a satisfactory alliance in this modality.
Some challenges to the therapeutic alliance in group therapy
Regarding the therapeutic alliance in the group therapy, the findings deviated from the hypothesis in several respects. Initial levels of PB were higher than expected, indicating that the MBT program facilitated early bonding in the group, and positive bonding remained stable throughout treatment. Hence, even if the expected improvement did not occur, the high initial levels indicate sustained satisfactory bonding. In contrast, initial levels of PW and its two subscales (agreement on tasks and goals) were below the satisfactory range. Interestingly, over the course of treatment this improved at the domain level and in relation to the other group members, with small to medium ES, but not in relation to the therapists. Thus, even though MBT has a framework intended to facilitate agreement on tasks and goals, such as the MBT case formulation, the findings suggest that the group therapists are not sufficiently involved in this process.
Regarding the NR domain (i.e., experience of conflict, alliance rupture, empathic failure), initial estimates were clustered near the threshold yet remained within the satisfactory range, except for the relationship with the other group members, where there were indications of some challenges in the early phase of treatment. Given the lack of longitudinal improvement in this domain and its subscales, these somewhat strained relationships with other group members appear to have persisted throughout treatment. This could, however, be viewed as acceptable in a treatment program intended for a patient group typically characterized by significant interpersonal difficulties. The finding is particularly noteworthy given the slow-open group format, which involves substantial turnover of group members over the course of treatment. Despite its distressing potential, this turnover may serve a useful function by providing continuous exposure to new interpersonal situations and dynamics (). Thus, a certain level of interpersonal strain is consistent with the MBT framework, which emphasizes the value of rupture-repair processes in group therapy as a “training ground” for mentalizing and healthier interpersonal functioning, provided that the therapists carefully facilitate the process to help patients tolerate and work through difficult experiences (; ; ). Notably, despite relational distress, positive bonding in the group was maintained. Future research should investigate how such experiences impact treatment outcome.
Building the therapeutic alliance in MBT
It was beyond the scope of this study to disentangle the relative effectiveness of the various MBT components to the therapeutic alliance, and future studies in this field are warranted. Yet, certain components in the MBT program stand out as potentially important for the alliance, several of these in accordance with recommendations from a large meta-analytic synthesis on alliance in psychotherapy (). For instance, the MBT case formulation may be essential for establishing an early and sustained positive alliance (). In a study by Kramer et al. (2023), treatment based on case formulation predicted session-by-session increases in therapeutic alliance in the treatment for BPD, though only for therapist-rated alliance. The case formulation in the MBT program specifies the patient's tasks and goals in therapy, attachment strategies under stress, emotion regulation difficulties, mentalizing impairments, and other potential obstacles in the treatment process, thereby addressing core aspects of the therapeutic alliance and potential challenges (Karterud and Kongerslev, 2019). However, the suboptimal levels of agreement on tasks and goals in the groups, particularly between group members and group therapists, suggest that the full potential of the case formulation has not been realized in the program. This is in line with previous calls to strengthen the MBT case formulation's role in MBT-G, for example by reading it aloud and discussing it regularly in the groups (Karterud, 2018). Another proposal is the preparation and use of an MBT Passport, i.e., a short version of the case formulation that each patient presents in the group on a regular basis ().
The initial psychoeducative group (MBT-I) may also serve as an alliance-promoting component (Stoffers-Winterling et al., 2022; Zanarini et al., 2018). This aligns with Wampold and Imel's summary of psychotherapy research, which concludes that psychoeducation—including the explanation of the treatment rationale—can be considered one of the common factors in psychotherapy (Wampold and Imel, 2015). MBT-I provides psychoeducation on the concepts of mentalizing, attachment, emotions and feelings, and the core features of PD and BPD, as well as a detailed presentation of the MBT program. This may help socialize patients to the treatment model, clarify treatment expectations, and foster more realistic views of the course and outcome of therapy (; ).
Regular supervision is a key element in MBT. The video-based supervision of both treatment modalities in the present study emphasized explicit work on the relationships between patients and therapists, including transference and countertransference (Karterud and Bateman, 2010; Karterud et al., 2020). In the treatment of patients with BPD, therapists frequently report feeling overwhelmed, incompetent or inadequate, and confused and frustrated in sessions, potentially compromising their therapeutic performance (). A recent study found significant associations between early negative countertransference and lower patient-rated alliance in a PD sample, which remained stable throughout therapy (). Supervision may increase therapists' empathy and understanding of patients' difficulties and facilitate the timely and explicit addressing of alliance ruptures, which may have contributed to the positive bond with therapists in both modalities (; Safran and Muran, 2000). Similarly, the MBT structure of regular and extraordinary “mini-team” meetings involving the patient and therapists may be an important means of addressing alliance ruptures in both treatment modalities. However, given the unsatisfactory levels of agreement on tasks and goals between patients and group therapists in the present study, such meetings may have an unrealized potential for fostering clearer and more mutual agreement in this respect.
Furthermore, several specific interventions in MBT are intended to promote patient engagement, active participation, and a sense of mastery in the therapeutic process. Such interventions may strengthen the alliance, as highlighted in quantitative and qualitative research on early alliance formation (Lavik et al., 2018; Sexton et al., 2005). For both treatment modalities, salient interventions include the emphasis in MBT on tailoring therapeutic interventions to the patient's current level of RF, modulating affective arousal to an optimal level (neither too high nor too low) during sessions, and therapists' “not-knowing” stance rather than an expert stance (Karterud and Bateman, 2010).
In MBT-G for BPD, the group-specific interventions addressing the structure are of particular importance, especially given the risk of conflicts and destructive acting out that may seriously affect group relationships (). In this context, the intervention “Managing authority” is vital, underscoring the importance of providing the group with structure and guidance and of therapists being more explicitly responsible for the therapeutic process compared with traditional group analysis (Karterud, 2015). In MBT-G, however, therapists aim to obtain an optimal balance between providing structure and allowing sufficient freedom for exploring and testing interpersonal dynamics that may catalyze therapeutic growth (). The findings in this study indicate subtle but persistent challenges in relationships with fellow group members, which do not appear to worsen over time, and this pattern could be consistent with such a balance. In this context, the explicit focus in individual therapy on exploring and mentalizing interpersonal challenges arising in the group is also likely an important factor supporting ongoing rupture-and-repair processes in the group (Karterud and Bateman, 2010; ).
Notably low early dropout and high patient retention in the MBT program
High rates of dropout have been widely reported in evidence-based psychotherapies for BPD, and systematic reviews indicate that the therapeutic alliance is a critical protective factor against dropout (; ). The findings in our study are consistent with this: overall satisfactory alliance levels in the MBT program were accompanied by a low rate of early dropout (6 %), with 87% remaining in treatment for at least 12 months and 65% for 18 months or more. These treatment retention figures are consistent with a meta-analysis of treatment completion in psychotherapy for BPD, which reported an overall completion rate of 75 % for interventions lasting less than 12 months and 71 % for longer interventions (). However, in our study, the reasons for treatment termination were not recorded. We were therefore unable to distinguish between “true” dropout and other reasons for discontinuation or planned termination, such as referral to other specialized treatments for comorbid conditions.
No predictive validity of reflective functioning for therapeutic alliance
Initial levels of RF were low across both assessment methods (; Keefe et al., 2023). Our hypothesis that higher pretreatment RF would be positively associated with the development of therapeutic alliance in individual and group therapy was not supported for neither AAI-RF nor MBI-RF, the latter being a more BPD-specific RF measure (Ulvestad et al., 2023). Except for the study of Jørgensen et al. (2021) which found that lower RF predicted dropout in MBT-G among adolescents with BPD, no previous study has investigated the significance of pretreatment RF in MBT. A possible explanation for the present finding is the emphasis in MBT on therapists' continuously adjusting their overall approach and specific interventions to patients' current RF level, thereby potentially ensuring a satisfactory alliance across patients with different RF levels (Karterud and Bateman, 2010; ). This aligns with a recent review by Luyten et al. (2024) on the role of RF in psychological interventions in adults, which suggests that pre-existing mentalizing impairments might be significant only if they are insufficiently addressed during therapy. Still, RF assessed with the RFS yields a global score, rather than a differentiated assessment of specific mentalizing capacities (; ), and may therefore fail to capture specific facets of RF of relevance for the alliance. In addition, the relatively homogeneous development of the alliance in our sample, with no or only minimal longitudinal between-patient variation, together with the narrow range of RF scores, may also have contributed to the absence of significant predictive effects. Moreover, in the present study, the first assessment of therapeutic alliance was conducted at 6 months, which may have limited the detection of any early influence of pretreatment RF on alliance formation. We do not know whether RF changed during treatment and possible implications of such changes for the alliance. Future studies employing repeated assessments of RF are needed to clarify how such changes affect alliance development.
Strengths and limitations
A major strength of the study is its high ecological validity due to its naturalistic design. The treatment was delivered under routine clinical conditions in a PD outpatient clinic, involving a clinically representative sample of patients with moderate to severe BPD.
Nevertheless, several limitations should be considered when interpreting the findings. First, owing to the observational design and lack of a control group, causal conclusions cannot be drawn. We are not able to determine whether the high levels of therapeutic alliance were caused by MBT per se rather than by common therapeutic factors. Second, the relatively small sample size (n = 42) introduces the risk of Type II errors. However, observer-based RF (such as AAI-RF and MBI-RF) is labor-intensive, and psychotherapy studies involving RF assessment are thus often small-sampled. In a review of observer-based and computerized measures of patients' mentalization in psychotherapy, more than 60% of the studies had a sample size of 30 or fewer (). When performing LMM analyses, sample sizes of at least 100 are often preferred, but LMMs can be fitted with smaller samples, and the number of repeated measures per participant also plays an essential role in model estimation and statistical power (). In the present study, the majority of participants had three or more assessments, and this longitudinal data quality increased statistical power despite the modest sample size. Yet, a large number of LMM analyses were conducted without any correction for multiple testing, thereby increasing the risk of Type I errors, while avoiding an undue increase in type II errors.
Third, due to standard routines at the outpatient clinic, the first assessment of therapeutic alliance was not conducted until 6 months into treatment. The possibility of significant changes in alliance prior to this time point cannot be ruled out. However, in the earlier study by conducted in the same clinic, WAI levels at 3 months were comparable to the levels at 6 months in this study, which provides additional support for the establishment of a satisfactory alliance early in the MBT program. Yet, for some participants in our study, the first assessment of alliance coincided with participation in the initial psychoeducative group, complicating interpretation of the initial levels of therapeutic alliance in MBT-G. Moreover, patients' self-report forms (WAI and GQ) were distributed by the individual therapist, and the scores were reviewed in the individual therapy sessions. This may have contributed to inflated alliance scores, probably most pronounced for WAI, given that patients may wish to offer overly positive feedback to an idealized therapist or may find it difficult to provide honest feedback (; Meier, 2022). While assessment of alliance from the patient's perspective is an evidence-based practice (), additional ratings from therapists or external evaluators could have provided a broader picture of alliance development.
Fourth, based on the binary gender registration used in the clinic, the majority of the participants were female (87%). This skewed distribution is typical for most clinical BPD samples (Storebo et al., 2020), and limits the generalizability of the findings to male and gender-diverse individuals. In addition, as the vast majority of participants were young females, age and gender were not investigated as predictors in the LMM analyses. Accordingly, the findings are mainly applicable to young female patients.
Conclusion
The study demonstrates overall satisfactory levels of therapeutic alliance in an MBT program for BPD that combines individual and group therapy. In the individual therapy, all aspects of the alliance were high, both initially and throughout treatment. In group therapy, the alliance was more complex. While patients reported positive bonding to the group in terms of group climate, group cohesion and alliance, there were uncertainties regarding tasks and goals in group therapy, particularly in the early phase. The study thus highlights challenges in ensuring that tasks and goals agreed upon in individual therapy are effectively implemented in the group therapy setting. Furthermore, the study points to somewhat strained relationships with other group members, both initially and over the course of treatment. Yet, as a “training ground” for relational functioning, these findings may indicate an appropriate level of interpersonal strain in MBT-G. The results further suggest that, in MBT, patients' initial level of RF may not affect their experience of therapeutic alliance. Future studies should investigate the relationships between RF, various aspects of alliance, and clinical outcome.
Statements
Data availability statement
The dataset used and analysed in the current study can be made available on special request to the corresponding author.
Author contributions
DU: Conceptualization, Data curation, Investigation, Writing – original draft, Writing – review & editing, Formal analysis, Methodology, Visualization. EK: Conceptualization, Formal analysis, Supervision, Validation, Writing – review & editing, Methodology. AE: Investigation, Writing – review & editing. PS: Investigation, Writing – review & editing. GP: Conceptualization, Data curation, Supervision, Writing – review & editing. TW: Conceptualization, Investigation, Project administration, Supervision, Writing – review & editing, Funding acquisition, Methodology.
Funding
The author(s) declared that financial support was received for this work and/or its publication. Research support has been provided by Oslo University Hospital and the University of Oslo. The study has not received funding from other institutions/organizations.
Acknowledgments
The authors wish to thank patients, clinicians and administration consultants at the Clinic for Group Therapies and Personality Disorders, Nydalen District Psychiatric Center, Oslo University Hospital for their contribution to this study.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that Generative AI was not used in the creation of this manuscript.
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References
1
AlldredgeC. T.BurlingameG. M.YangC.RosendahlJ. (2021). Alliance in group therapy: a meta-analysis. Group Dyn. Theory Res. Prac. 25, 13–28. doi: 10.1037/gdn0000135
2
AntonsenB. T.JohansenM. S.RoF. G.KvarsteinE. H.WilbergT. (2016). Is reflective functioning associated with clinical symptoms and long-term course in patients with personality disorders?Compr. Psychiatry64, 46–58. doi: 10.1016/j.comppsych.2015.05.016
3
APA (2013). Diagnostic and Statistical Manual of Mental Disorders: DSM-5, 5th Edn. Washington, DC: American Psychiatric Association.
4
BarnicotK.GonzalezR.McCabeR.PriebeS. (2016). Skills use and common treatment processes in dialectical behaviour therapy for borderline personality disorder. J. Behav. Therapy Exp. Psychiatry52, 147–156. doi: 10.1016/j.jbtep.2016.04.006
5
BarnicotK.KatsakouC.MarougkaS.PriebeS. (2011). Treatment completion in psychotherapy for borderline personality disorder: a systematic review and meta-analysis. Acta Psychiatr. Scand. 123, 327–338. doi: 10.1111/j.1600-0447.2010.01652.x
6
BarnicotK.RedknapC.CoathF.HommelJ.CouldreyL.CrawfordM.et al. (2022). Patient experiences of therapy for borderline personality disorder: commonalities and differences between dialectical behaviour therapy and mentalization-based therapy and relation to outcomes. Psychol. Psychother. Theory Res. Prac. 95, 212–233. doi: 10.1111/papt.12362
7
BarrettA.CampbellC.LuytenP.FonagyP.MoserM. (2025). Patient experiences of long-term psychodynamic psychotherapy for mood and personality disorders: a systematic review and meta-aggregation of qualitative studies. J. Counsel. Psychol. 73, 101–115. doi: 10.1037/cou0000844
8
BatemanA.CampbellC.FonagyP. (2021). Rupture and repair in mentalization-based group psychotherapy. Int. J. Group Psychother. 71, 371–392. doi: 10.1080/00207284.2020.1847655
9
BatemanA.FonagyP. (2016). Mentalization Based Treatment for Personality Disorders: a Practical Guide. Oxford: Oxford University Press. doi: 10.1093/med:psych/9780199680375.001.0001
10
BedicsJ. D.AtkinsD. C.HarnedM. S.LinehanM. M. (2015). The therapeutic alliance as a predictor of outcome in dialectical behavior therapy versus nonbehavioral psychotherapy by experts for borderline personality disorder. Psychotherapy52, 67–77. doi: 10.1037/a0038457
11
BenderD. S. (2005). The therapeutic alliance in the treatment of personality disorders. J. Psychiatric Prac. 11, 73–87. doi: 10.1097/00131746-200503000-00002
12
BordinE. S. (1979). The generalizability of the psychoanalytic concept of the working alliance. Theory Res. Prac. 16, 252–260. doi: 10.1037/h0085885
13
BouchardM.-A.TargetM.LecoursS.FonagyP.TremblayL.-M.SchachterA.et al. (2008). Mentalization in adult attachment narratives: reflective functioning, mental states, and affect elaboration compared. Psychoanal. Psychol. 25, 47–66. doi: 10.1037/0736-9735.25.1.47
14
Breivik ØvstebøR.PedersenG.WilbergT.RøssbergJ. I.Johnsen DahlH.-S.KvarsteinE. H.et al. (2024). Countertransference, alliance, and outcome in the treatment of patients with personality disorder: a longitudinal naturalistic study. Front. Psychiatry15:1490056. doi: 10.3389/fpsyt.2024.1490056
15
BröckerA.-L.NolteT.BöttcheM.KnaevelsrudC.KerberA. (2026). How epistemic trust, mistrust and credulity relate to mental health, personality pathology, treatment engagement and relationship in psychotherapeutic and psychiatric settings. BMJ Mental Health29:e301751. doi: 10.1136/bmjment-2025-301751
16
BurlingameG. M.FuhrimanA.JohnsonJ. E. (2002). “Cohesion in group psychotherapy,” in Psychotherapy Relationships that Work: Therapist Contributions and Responsiveness to Patients, ed. NorcrossJ. C. (New York, NY: Oxford University Press), 71–87.
17
BurlingameG. M.McClendonD. T.YangC. (2018). Cohesion in group therapy: a meta-analysis. Psychotherapy55, 384–398. doi: 10.1037/pst0000173
18
Choi-KainL. W.GundersonJ. G. (2008). Mentalization: ontogeny, assessment, and application in the treatment of borderline personality disorder. Am. J. Psychiatry165, 1127–1135. doi: 10.1176/appi.ajp.2008.07081360
19
CohenJ. (1988). Statistical Power Analysis for the Behavioral Sciences, 2nd Edn. Hillsdale, NJ: Lawrence Erlbaum Associates.
20
ColliA.TanzilliA.DimaggioG.LingiardiV. (2014). Patient personality and therapist response: an empirical investigation. Am. J. Psychiatry171, 102–108. doi: 10.1176/appi.ajp.2013.13020224
21
CurranP. J.ObeidatK.LosardoD. (2010). Twelve frequently asked questions about growth curve modeling. J. Cogn. Dev. 11, 121–136. doi: 10.1080/15248371003699969
22
de Freixo FerreiraL.GuerraC.Vieira-CoelhoM. A. (2023). Predictors of psychotherapy dropout in patients with borderline personality disorder: a systematic review. Clin. Psychol. Psychother. 30, 1324–1337. doi: 10.1002/cpp.2888
23
De SalveF.RossiC.GioacchiniE.MessinaI.OasiO. (2025). Dropout in psychotherapy for personality disorders: a systematic review of predictors. Clin. Psychol. Psychother. 32:e70080. doi: 10.1002/cpp.70080
24
DimaggioG.MaillardP.MacBethA.KramerU. (2019). Effects of therapeutic alliance and metacognition on outcome in a brief psychological treatment for borderline personality disorder. Psychiatry82, 143–157. doi: 10.1080/00332747.2019.1610295
25
DitlefsenI. T.Nissen-LieH. A.AndenæsA.Normann-EideE.JohansenM. S.KvarsteinE. H.et al. (2021). “Yes, there is actually hope!”—a qualitative investigation of how patients experience mentalization-based psychoeducation tailored for borderline personality disorder. J. Psychother. Integr. 31, 257–276. doi: 10.1037/int0000243
26
DuncanB. L.MillerS. D.SparksJ. A.ClaudD. A.ReynoldsL. R.BrownJ.et al. (2003). The session rating scale: preliminary psychometric properties of a “working” alliance measure. J. Brief Ther. 3, 3–12.
27
EkebladA.FalkenstromF.HolmqvistR. (2016). Reflective functioning as predictor of working alliance and outcome in the treatment of depression. J. Consult. Clin. Psychol. 84, 67–78. doi: 10.1037/ccp0000055
28
EllisonW. D.RosensteinL. K.MorganT. A.ZimmermanM. (2018). Community and clinical epidemiology of borderline personality disorder. Psychiatr. Clin. North Am. 41, 561–573. doi: 10.1016/j.psc.2018.07.008
29
EttmanC. K.AbdallaS. M.CohenG. H.SampsonL.VivierP. M.GaleaS.et al. (2020). Prevalence of depression symptoms in US adults before and during the COVID-19 pandemic. JAMA Netw. Open3, 1–12. doi: 10.1001/jamanetworkopen.2020.19686
30
EulerS.WregeJ.BusmannM.LindenmeyerH. J.SollbergerD.LangU. E.et al. (2018). Exclusion-proneness in borderline personality disorder inpatients impairs alliance in mentalization-based group therapy. Front. Psychol.9:824. doi: 10.3389/fpsyg.2018.00824
31
FirstM. B.WilliamsJ. B. W.KargR. S.SpitzerR. L. (2016). Structured clinical interview for DSM-5 clinical version (SCID-5-PD). Washington, DC: American Psychiatric Association.
32
Fischer-KernM.DoeringS.TaubnerS.HorzS.ZimmermannJ.RentropM.et al. (2015). Transference-focused psychotherapy for borderline personality disorder: change in reflective function. Br. J. Psychiatry207, 173–174. doi: 10.1192/bjp.bp.113.143842
33
FluckigerC.Del ReA. C.WampoldB. E.HorvathA. O. (2018). The alliance in adult psychotherapy: a meta-analytic synthesis. Psychotherapy55, 316–340. doi: 10.1037/pst0000172
34
FolmoE. J.KarterudS. W.BremerK.WaltherK. L.KvarsteinE. H.PedersenG. A. F.et al. (2017). The design of the MBT-G adherence and quality scale. Scand. J. Psychol. 58, 341–349. doi: 10.1111/sjop.12375
35
FolmoE. J.StänickeE.JohansenM. S.PedersenG.KvarsteinE. H. (2021). Development of therapeutic alliance in mentalization-based treatment—goals, bonds, and tasks in a specialized treatment for borderline personality disorder. Psychother. Res. 31, 604–618. doi: 10.1080/10503307.2020.1831097
36
FonagyP.AllisonE. (2014). The role of mentalizing and epistemic trust in the therapeutic relationship. Psychotherapy51, 372–380. doi: 10.1037/a0036505
37
FonagyP.LuytenP.BatemanA. (2015). Translation: mentalizing as treatment target in borderline personality disorder. Pers. disord. 6, 380–392. doi: 10.1037/per0000113
38
FonagyP.LuytenP. A. (2009). developmental, mentalization-based approach to the understanding and treatment of borderline personality disorder. Dev. Psychopathol. 21, 1355–1381. doi: 10.1017/S0954579409990198
39
FonagyP.TargetM.SteeleH.SteeleM. (1998). Reflective Functioning Manual: Version 5 for Application to Adult Attachment Interviews. Unpublished manual. London. doi: 10.1037/t03490-000
40
GeorgeC.KaplanN.MainM. (1985). The Adult Attachment Interview. Berkeley. doi: 10.1037/t02879-000
41
GiannoneF.GuarnacciaC.GulloS.Di BlasiM.GiordanoC.Lo CocoG.et al. (2020). Italian adaptation of the Group Questionnaire: validity and factorial structure. Res. Psychother. 23:443. doi: 10.4081/ripppo.2020.443
42
GroveP.SmithE. A. (2022). Framework for MBT formulations: the narrative formulation and MBT passport. J. Contemp. Psychother.52, 199–206. doi: 10.1007/s10879-022-09531-0
43
HatcherR. L.GillaspyJ. A. (2006). Development and validation of a revised short version of the working alliance inventory. Psychother. Res. 16, 12–25. doi: 10.1080/10503300500352500
44
HeckR. H.ScottT. L.LynnT. N. (2010). Multilevel and Longitudinal Modeling with IBM SPSS. New York, NY: Routledge. doi: 10.4324/9780203855263
45
HedekerD.GibbonsR. D. (1997). Application of random-effects pattern-mixture models for missing data in longitudinal studies. Psychol. Methods2, 64–78. doi: 10.1037/1082-989X.2.1.64
46
HendersonT.BinghamJ.HooseG.PaxtonT.ThackerayM.AlldredgeC.et al. (2026). Alliance and cohesion predicting outcome in group psychotherapy: a structural equation model meta-analysis. Int. J. Group Psychother. 76, 101–128. doi: 10.1080/00207284.2025.2499046
47
HorvathA. O.Del ReA. C.FlückigerC.SymondsD. (2011). Alliance in individual psychotherapy. Psychotherapy48, 9–16. doi: 10.1037/a0022186
48
Hualparuca-OliveraL.Vigo-AyastaE.ToralesJ.Ramos-VeraC.Caycho-RodríguezT.Calle-ArancibiaM.et al. (2025). Internal structure and consistency of the level of personality functioning scale-brief form: a systematic review and meta-analysis. J. Personal Disord. 39, 223–239. doi: 10.1521/pedi.2025.39.3.223
49
HüweL.LaserL.AndreasS. (2023). Observer-based and computerized measures of the patient's mentalization in psychotherapy: a scoping review. Psychother. Res. 34, 1–15. doi: 10.1080/10503307.2023.2226812
50
IBMCorp (2024). IBM SPSS Statistics for Windows, 30th Edn. Armonk, NY: IBM Corp.
51
JainF. A.FonagyP. (2020). Mentalizing imagery therapy: theory and case series of imagery and mindfulness techniques to understand self and others. Mindfulness11, 153–165. doi: 10.1007/s12671-018-0969-1
52
JanisR. A.BurlingameG. M.OlsenJ. A. (2018). Developing a therapeutic relationship monitoring system for group treatment. Psychotherapy55, 105–115. doi: 10.1037/pst0000139
53
JørgensenM. S.BoS.VestergaardM.StorebøO. J.SharpC.SimonsenE.et al. (2021). Predictors of dropout among adolescents with borderline personality disorder attending mentalization-based group treatment. Psychother. Res. 31, 950–961. doi: 10.1080/10503307.2020.1871525
54
KarterudS. (2012). Manual for Mentaliseringsbasert Gruppeterapi (MBT-G). Oslo: Gyldendal akademisk.
55
KarterudS. (2015). On structure and leadership in mentalization-based group therapy and group analysis. Group Anal. 48, 137–149. doi: 10.1177/0533316415577339
56
KarterudS. (2018). Case formulations in mentalization-based group therapy. Res. Psychother. 21:318. doi: 10.4081/ripppo.2018.318
57
KarterudS. (2019). Manual for gruppekurs om personlighet og personlighetsforstyrrelser. Oslo: Gyldendal.
58
KarterudS.BatemanA. (2010). Manual for mentaliseringsbasert terapi (MBT) og MBT vurderingsskala: versjon individualterapi. Oslo: Gyldendal Akademisk.
59
KarterudS.FolmoE. J.KongerslevM. T. (2020). Mentaliseringsbasert terapi (MBT). 1. utgave. ed. Oslo: Gyldendal.
60
KarterudS.KongerslevM. T. (2019). “Chapter 3 - case formulations in mentalization-based treatment (MBT) for patients with borderline personality disorder,” in Case Formulation for Personality Disorders, ed. KramerU. (Academic Press), 41–60. doi: 10.1016/B978-0-12-813521-1.00003-5
61
KarterudS.PedersenG.EngenM.JohansenM. S.JohanssonP. N.SchluterC.et al. (2013). The MBT adherence and competence scale (MBT-ACS): development, structure and reliability. Psychother. Res. 23, 705–717. doi: 10.1080/10503307.2012.708795
62
KatznelsonH. (2014). Reflective functioning: a review. Clin. Psychol. Rev. 34, 107–117. doi: 10.1016/j.cpr.2013.12.003
63
KatznelsonH.FalkenströmF.DanielS. I. F.LunnS.FolkeS.PedersenS. H.et al. (2020). Reflective functioning, psychotherapeutic alliance, and outcome in two psychotherapies for bulimia nervosa. Psychotherapy57, 129–140. doi: 10.1037/pst0000245
64
KeefeJ. R.LevyK. N.SowisloJ. F.DiamondD.DoeringS.Horz-SagstetterS.et al. (2023). Reflective functioning and its potential to moderate the efficacy of manualized psychodynamic therapies versus other treatments for borderline personality disorder. J. Consult. Clin. Psychol. 91, 50–56. doi: 10.1037/ccp0000760
65
KivityY.LevyK. N.KellyK. M.ClarkinJ. F. (2021). In-session reflective functioning in psychotherapies for borderline personality disorder: the emotion regulatory role of reflective functioning. J. Consult. Clin. Psychol. 89, 751–761. doi: 10.1037/ccp0000674
66
KooT. K.LiM. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J. Chiropr. Med. 15, 155–163. doi: 10.1016/j.jcm.2016.02.012
67
KramerU.RanjbarS.CasparF. (2023). Using case formulation for prediction of the therapeutic alliance in treatment for borderline personality disorder. Pers. Disord. Theory Res. Treat. 14, 347–354. doi: 10.1037/per0000555
68
KratzerL.MoultrieJ.SchiepekG. (2024). Working alliance instability in the inpatient treatment of borderline personality disorder. J. Contemp. Psychother.54, 335–342. doi: 10.1007/s10879-024-09630-0
69
KroenkeK.SpitzerR. L.WilliamsJ. B. (2001). The PHQ-9: validity of a brief depression severity measure. J. Gen. Intern. Med. 16, 606–613. doi: 10.1046/j.1525-1497.2001.016009606.x
70
KroenkeK.SpitzerR. L.WilliamsJ. B.MonahanP. O.LoweB. (2007). Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection. Ann. Intern. Med. 146, 317–325. doi: 10.7326/0003-4819-146-5-200703060-00004
71
KrogelJ. (2008). The Group Questionnaire: A New Measure of the Group Relationship: Provo, UT: Brigham Young University. doi: 10.1037/t22617-000
72
KrogelJ.BurlingameG.ChapmanC.RenshawT.GleaveR.BeecherM.et al. (2013). The group questionnaire: a clinical and empirically derived measure of group relationship. Psychother. Res. 23, 344–354. doi: 10.1080/10503307.2012.729868
73
KvarsteinE. H.BremerK.BaltzersenÅ. L.EkbergA.Normann-EideE.UlvestadD. A.et al. (2025). Sustainability of mentalization-based treatment programs for poorly functioning patients with borderline personality disorder. can we really keep it up?Pers. Mental Health19:e70036. doi: 10.1002/pmh.70036
74
KvarsteinE. H.FolmoE.AntonsenB. T.Normann-EideE.PedersenG.WilbergT.et al. (2020). Social cognition capacities as predictors of outcome in mentalization-based treatment (MBT). Front. Psychiatry11:691. doi: 10.3389/fpsyt.2020.00691
75
KvarsteinE. H.FroyhaugM.PettersenM. S.CarlsenS.EkbergA.Fjermestad-NollJ.et al. (2023). Improvement of personality functioning among people treated within personality disorder mental health services. a longitudinal, observational study. Front. Psychiatry14:1163347. doi: 10.3389/fpsyt.2023.1163347
76
LavikK. O.FrøysaH.BrattebøK. F.McLeodJ.MoltuC. (2018). The first sessions of psychotherapy: a qualitative meta-analysis of alliance formation processes. J. Psychother. Integr. 28, 348–366. doi: 10.1037/int0000101
77
LeichsenringF.FonagyP.HeimN.KernbergO.LewekeF.LuytenP.et al. (2024). Borderline personality disorder: a comprehensive review of diagnosis and clinical presentation, etiology, treatment, and current controversies. World Psychiatry23, 4–25. doi: 10.1002/wps.21156
78
LevyK. N.BeeneyJ. E.WassermanR. H.ClarkinJ. F. (2010). Conflict begets conflict: executive control, mental state vacillations, and the therapeutic alliance in treatment of borderline personality disorder. Psychother. Res. 20, 413–422. doi: 10.1080/10503301003636696
79
Lo CocoG.GulloS.AlbanoG.BrugneraA.FlückigerC.TascaG. A.et al. (2022). The alliance-outcome association in group interventions: a multilevel meta-analysis. J. Consult. Clin. Psychol. 90, 513–527. doi: 10.1037/ccp0000735
80
LuborskyL. (1976). “Helping alliances in psychotherapy,” in Succesful Psychotherapy, ed. CleghornJ. L. (New York, NY: Brunner/Mazel).
81
LuytenP.CampbellC.AllisonE.FonagyP. (2020). The mentalizing approach to psychopathology: state of the art and future directions. Annu. Rev. Clin. Psychol. 297–325. doi: 10.1146/annurev-clinpsy-071919-015355
82
LuytenP.CampbellC.MoserM.FonagyP. (2024). The role of mentalizing in psychological interventions in adults: systematic review and recommendations for future research. Clin. Psychol. Rev. 108:102380. doi: 10.1016/j.cpr.2024.102380
83
MarzialiE.HeatherM.-B.McClearyL. (1999). The effects of the therapeutic alliance on the outcomes of individual and group psychotherapy with borderline personality disorder. Psychother. Res. 9, 424–436. doi: 10.1093/ptr/9.4.424
84
Mataix-ColsD.CowleyA. J.HankinsM.SchneiderA.BachofenM.KenwrightM.et al. (2005). Reliability and validity of the work and social adjustment scale in phobic disorders. Compr. Psychiatry46, 223–228. doi: 10.1016/j.comppsych.2004.08.007
85
MeierS. T. (2022). Investigation of causes of ceiling effects on working alliance measures. Front. Psychol. 13:949326. doi: 10.3389/fpsyg.2022.949326
86
MunderT.WilmersF.LeonhartR.LinsterH. W.BarthJ. (2010). Working alliance inventory-short revised (WAI-SR): psychometric properties in outpatients and inpatients. Clin. Psychol. Psychother. 17, 231–239. doi: 10.1002/cpp.658
87
MundtJ. C.MarksI. M.ShearM. K.GreistJ. H. (2002). The work and social adjustment scale: a simple measure of impairment in functioning. Br. J. Psychiatry180, 461–464. doi: 10.1192/bjp.180.5.461
88
NolteT.HutsebautJ.SharpC.CampbellC.FonagyP.BatemanA.et al. (2023). The role of epistemic trust in mentalization-based treatment of borderline psychopathology. J. Personal Disord. 37, 633–659. doi: 10.1521/pedi.2023.37.5.633
89
NotsuH.KivityY.LevyK. N.KollyS.KramerU. A. (2024). Novel approach to examining working alliance instability during psychotherapy for borderline personality disorder. Am. J. Psychother.77, 160–166. doi: 10.1176/appi.psychotherapy.20230032
90
PaapD.SchepersM.DijkstraP. U. (2020). Reducing ceiling effects in the working alliance inventory-rehabilitation dutch version. Disabil. Rehabil. 42, 2944–2950. doi: 10.1080/09638288.2018.1563833
91
PedersenG.KvarsteinE. H.WilbergT.FolmoE. J.BurlingameG. M.LorentzenS.et al. (2023). The group questionnaire (GQ)—psychometric properties among outpatients with personality disorders. Group Dyn. Theory Res. Prac. 27, 81–98. doi: 10.1037/gdn0000176
92
PedersenG.UrnesO.HummelenB.WilbergT.KvarsteinE. H. (2018). Revised manual for the global assessment of functioning scale. Eur. Psychiatry51, 16–19. doi: 10.1016/j.eurpsy.2017.12.028
93
PedersenG.WilbergT.HummelenB.Hartveit KvarsteinE. (2022). The Norwegian network for personality disorders – development, contributions and challenges through 30 years. Nordic J. Psychiatry77, 512–520. doi: 10.1080/08039488.2022.2147995
94
Richardson-VejlgaardR.BroudyC.BrodskyB.FertuckE.StanleyB. (2013). Predictors of psychotherapy alliance in borderline personality disorder. Psychother. Res. 23, 539–546. doi: 10.1080/10503307.2013.801001
95
SafranJ. D.MuranJ. C. (2000). Resolving therapeutic alliance ruptures: diversity and integration. J. Clin. Psychol. 56, 233–243. doi: 10.1002/(SICI)1097-4679(200002)56:2<233::AID-JCLP9>3.0.CO;2-3
96
SextonH.LittauerH.SextonA.TømmeråsE. (2005). Building an alliance: early therapy process and the client–therapist connection. Psychother. Res. 15, 103–116. doi: 10.1080/10503300512331327083
97
SheehanD. V.LecrubierY.JanavsJ.KnappE.WeillerE.BonoraL. I.et al. (1994). Mini International Neuropsychiatric Interview (MINI). Tampa, FL; Paris: University of South Florida Institutt for Research in Psychiatry and INSERM-Hôpital de la Salpétrière.
98
SingerJ. D.WillettJ. B. (2003). Applied Longitudinal Data Analysis. New York, NY: Oxford University Press. doi: 10.1093/acprof:oso/9780195152968.001.0001
99
SkodolA. E.GundersonJ. G.PfohlB.WidigerT. A.LivesleyW. J.SieverL. J.et al. (2002). The borderline diagnosis I: psychopathology, comorbidity, and personaltity structure. Biol. Psychiatry51, 936–950. doi: 10.1016/S0006-3223(02)01324-0
100
SpitzerR. L.KroenkeK.WilliamsJ. B.LoweB. A. (2006). brief measure for assessing generalized anxiety disorder: the GAD-7. Arch. Intern. Med. 166, 1092–1097. doi: 10.1001/archinte.166.10.1092
101
Stoffers-WinterlingJ. M.StorebøO. J.KongerslevM. T.FaltinsenE.TodorovacA.Sedoc JørgensenM.et al. (2022). Psychotherapies for borderline personality disorder: a focused systematic review and meta-analysis. Br. J. Psychiatry221, 538–552. doi: 10.1192/bjp.2021.204
102
StoreboO. J.Stoffers-WinterlingJ. M.VollmB. A.KongerslevM. T.MattiviJ. T.JorgensenM. S.et al. (2020). Psychological therapies for people with borderline personality disorder. Cochrane Database Syst. Rev. 5:CD012955. doi: 10.1002/14651858.CD012955.pub2
103
StrattonN.Mendoza AlvarezM.LabrishC.BarnhartR.McMainS. (2020). Predictors of dropout from a 20-week dialectical behavior therapy skills group for suicidal behaviors and borderline personality disorder. J. Personal Disord. 34, 216–230. doi: 10.1521/pedi_2018_32_391
104
SveenC. A.PedersenG.UlvestadD. A.ZahlK. E.WilbergT.KvarsteinE. H.et al. (2024). Societal costs of personality disorders among treatment-seeking patients in Norway: the relative contribution of specific DSM-5 categories. Euro. Arch. Psychiatry Clin. Neurosci. 274, 139–149. doi: 10.1007/s00406-023-01655-1
105
TaubnerS.HorzS.Fischer-KernM.DoeringS.BuchheimA.ZimmermannJ.et al. (2013). Internal structure of the reflective functioning scale. Psychol. Assess. 25, 127–135. doi: 10.1037/a0029138
106
UlvestadD. A.JohansenM. S.KvarsteinE. H.PedersenG.WilbergT. (2024). Minding mentalizing - convergent validity of the mentalization breakdown interview. Front. Psychiatry15:1380532. doi: 10.3389/fpsyt.2024.1380532
107
UlvestadD. A.Selsbakk JohansenM.Hartveit KvarsteinE.PedersenG.WilbergT. A. (2023). borderline focused reflective functioning measure - interrater reliability of the mentalization breakdown interview. Nord. J. Psychiatry77, 360–366. doi: 10.1080/08039488.2022.2123040
108
van den HeuvelB. B.KlaassenN.WuestmanV.de BeursE. (2025). The group questionnaire: a psychometric investigation of the Dutch adaptation among patients with personality disorders. Group Dyn. Theory Res. Prac. 29, 117–131. doi: 10.1037/gdn0000237
109
WampoldB. E.ImelZ. E. (2015). The Great Psychotherapy Debate: The Evidence for What Makes Psychotherapy Work, 2nd Edn. New York, NY: Routledge/Taylor; Francis Group. 334p. doi: 10.4324/9780203582015
110
WeekersL. C.HutsebautJ.KamphuisJ. H. (2019). The level of personality functioning scale-brief form 2.0: update of a brief instrument for assessing level of personality functioning. Personal Ment. Health13, 3–14. doi: 10.1002/pmh.1434
111
WeekersL. C.SellbomM.HutsebautJ.SimonsenS.BachB. (2023). Normative data for the LPFS-BF 2.0 derived from the Danish general population and relationship with psychosocial impairment. Personal Ment. Health. 17, 157–164. doi: 10.1002/pmh.1570
112
WibbelinkC. J. M.ArntzA.KamphuisJ. H.GrootI. Z.SinnaeveR.EversS. M. A. A.et al. (2025). Burden of disease of borderline personality disorder: a comprehensive evaluation of quality of life and societal cost of illness. J. Clin. Psychol. 81, 832–846. doi: 10.1002/jclp.70000
113
YinP.PoirierS.AllaryA.PérusseF.DavidP.LahaieF.-S.et al. (2026). Effectiveness of mentalization-based therapy and dialectical behavior therapy for cluster B personality disorders: a naturalistic study of service utilization and treatment dropout. Front. Psychiatry17:1732940. doi: 10.3389/fpsyt.2026.1732940
114
ZanariniM. C.ConkeyL. C.TemesC. M.FitzmauriceG. M. (2018). Randomized controlled trial of web-based psychoeducation for women with borderline personality disorder. J. Clin. Psychiatry79. doi: 10.4088/JCP.16m11153
115
ZetzelE. R. (1956). Current concepts of transference. Int. J. Psychoanal. 37, 369–375.
Keywords
borderline personality disorder, group psychotherapy, individual psychotherapy, mentalization-based treatment, predictor, reflective functioning, therapeutic alliance
Citation
Ulvestad DA, Kvarstein EH, Ekberg A, Sætre PL, Pedersen G and Wilberg T (2026) Therapeutic alliance and predictive validity of reflective functioning in conjoint mentalization-based treatment for borderline personality disorder. Front. Psychol. 17:1919516. doi: 10.3389/fpsyg.2026.1919516
Received
25 June 2026
Revised
21 August 2026
Accepted
15 September 2026
Published
09 October 2026
Volume
17 - 2026
Updates
Copyright
© 2026 Ulvestad, Kvarstein, Ekberg, Sætre, Pedersen and Wilberg.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Dag Anders Ulvestad, sbulvd@ous-hf.no
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来源:Frontiers in Psychology · frontiersin.org
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