Therapy for Clients With Personality Disorders

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Personalitydisorder.pdf

British Journal of Clinical Psychology (2015), 54, 129–146

© 2014 The British Psychological Society

www.wileyonlinelibrary.com

Personality disorder moderates outcome in short- and long-term group analytic psychotherapy: A randomized clinical trial

Steinar Lorentzen 1,2 *, Torleif Ruud

3,1 , Anette Fjeldstad

2 and

Per A. Høglend 1

1 Institute of Clinical Medicine, Clinic of Mental Health and Addiction, University of Oslo, Norway

2 Department of Research and Development, Clinic of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway

3 Department for Research and Development, Division of Mental Health Services,

Akershus University Hospital, Lørenskog, Norway

Objectives. In a randomized clinical trial, short- and long-term psychodynamic

group psychotherapy (STG and LTG, respectively) schedules were equally effective

for the ‘typical’ patient during a 3-year study period. Although several studies have

reported good effects for patients with personality disorders (PD) in diverse forms

of psychotherapy, the significance of treatment duration is unclear. Therefore, we

tested the hypothesis that PD patients would improve more during and after LTG

than STG.

Design. A randomized, longitudinal, prospective study contrasting the outcomes during

and after short- and long-term dynamic group psychotherapies.

Methods. One hundred and sixty-seven outpatients with mood disorders, anxiety

disorders, or PD were randomized to STG or LTG (respectively, 20 or 80 weekly sessions

of 90 min each). Outcome measures are as follows: symptoms (SCL-90-R), interpersonal

problems (IIP-C), and psychosocial functioning (GAF split version: GAF-Symptom and

GAF-Function). PD pathology (number of PD criteria items) was selected a priori as a

putative moderator of treatment effects. Change during the 3-year study period was

assessed using linear mixed models. The study was registered at ClinicalTrials.gov as NCT

00021417.

Results. Our hypothesis was supported, as patients with PD improved significantly

more regarding all outcome variables in LTG than STG. For patients without PD, the rate

of change was similar across 3 years; however, the rate of change in symptoms and

interpersonal problems was higher in STG during the first 6 months.

Conclusions. The effectiveness of LTG is higher for patients with co-morbid PD.

Patients without PD do not appear to experience additional gain from LTG.

*Correspondence should be addressed to Steinar Lorentzen, Institute of Clinical Medicine, University of Oslo, Clinic of Mental Health and Addiction, P.O. Box 1039 Blindern, Oslo 0315, Norway (email: [email protected]).

DOI:10.1111/bjc.12065

129

Practitioner points Clinical implications

� LTG demonstrates better effectiveness than STG for patients with personality disorder co-morbidity (PD).

� Patients without PD do not appear to experience additional gain from attending LTG. � Correct initial allocation to treatment duration may prevent disruptive breaks in relationships and lead

to both human and economic cost savings.

Limitations

� Trials on mixed diagnostic samples may limit the ability to fully assess change for specific diagnostic groups.

� Therapists were unable to select patients and compose their own groups. Although this condition might increase the generalizability of the results, it may also have restricted the therapists and the

clinical situation inadvertently.

Meta-analyses and reviews indicate few differences in outcome between group therapies

with different theoretical rationale (Burlingame, Strauss, & Joyce, 2013; Lambert & Bergin,

1994). However, most group therapies studied are of short duration (<20 sessions; Burlingame et al., 2013), even though longer therapies (≥1 year) are common in clinical practice, at least in Europe (Lorentzen & Ruud, 2014; R€uger & Bell, 2004). Only a few studies demonstrate the effectiveness of long-term dynamic group psychotherapy with

outpatients (e.g., Bateman & Fonagy, 2009; Lorentzen, Bøgwald, & Høglend, 2002; Tschuschke, Anbeh, & Kiencke, 2007). Reviews of non-randomized studies that assess the

importance of treatment duration (Orlinsky, Grawe, & Parks, 1994; Orlinsky, Rønnestad,

& Willutzki, 2004) have failed to provide unequivocal answers. Because all observational

studies are open to several interpretations (Stiles & Shapiro, 1994), studies in which

patients are randomized to short- versus long-term group therapy are urgently needed.

Earlier studies have indicated that short-term therapies offer insufficient help to many

patients, including patients with personality disorders (PD) and patients with co-morbid

and chronic disorders (Gabbard, 2000; Lorentzen & Høglend, 2008; Perry, Banon, & Ianni, 1999; Piper, 1994; Reich & Green, 1991). However, some recent randomized clinical trials

have demonstrated more positive results of psychotherapy (including transference-

focused, mentalization -based, dialectical behaviour and schema-oriented therapies) with

patients that have various PD (Cluster C: Bartak et al., 2010; Svartberg, Stiles, & Seltzer,

2004; Vinnars, Barber, Noren, Gallop, & Weinryb, 2005; Mixed, including borderline PD:

Bateman & Fonagy, 2009; McMain, Guimond, Streiner, Cardish, & Links, 2012).

Interestingly, effective treatments have varied in duration from <20 weekly sessions to several years, rendering the studies inconclusive regarding the question of optimal treatment duration (Verheul & Herbrink, 2007). We are not familiar with any randomized

clinical studies that compare the effects of long-term and short-term group psychother-

apy.

A substantial proportion of outpatients meet criteria for several Axis-I and Axis-II

diagnoses and must cope with many long-term suboptimal functions, such as interper-

sonal problems, work problems, reduced physical health and higher overall mortality

(Holt-Lundstad, Smith, & Layton, 2010). Thus, we wanted to study outpatients within the

public mental health services; generally, these patients have been diagnosed with heterogeneous and co-morbid psychiatric disorders.

In this study, 6 months of group psychotherapy (20 weekly sessions) is compared with

2 years of group psychotherapy (80 weekly sessions) in a sample of outpatients, 48%

of which have one or more PDs (mostly Cluster C: avoidant, dependent, and obsessive-

130 Steinar Lorentzen et al.

compulsive). Outcomes over the 3-year study period were measured in the areas of

symptoms, interpersonal problems, and psychosocial functioning. Lorentzen, Ruud,

Fjeldstad, and Høglend (2013) reported recently that patients made significant gains

during a study period of 3 years in both STG and LTG, and they detected no significant longitudinal differences in change between patients in STG and LTG.

As indicated above, studies of psychotherapy that include populations of patients with

different PD have provided inconclusive answers regarding the significance of treatment

length. In this study, we test whether or not the treatment effect (difference in slopes

between LTG and STG) is significantly different between PD patients and non-PD patients.

Our hypotheses are that PD patients will do better in LTG than in STG, and that non-PD

patients will experience equivalent outcomes in the two treatments.

Method

Sites, patient referral, and inclusion

This study was conducted in three urban areas in Norway. One or two coordinators and

two to four group therapists were engaged at each site. The Data Inspectorate and The Regional Committee on Ethics in Health Research approved the project.

Mental health professionals and general practitioners were informed through mail of

the clinical trial; after evaluation, they referred patients they considered in need of

specialist services to the local coordinators, who assessed them for eligibility. Inclusion

criteria were one or more Axis-I or II diagnoses, interest in working with problems and

relationships in groups, and willingness to accept randomization. Exclusion criteria were

psychosis, main diagnosis of alcohol/drug addiction, organic brain disease, >6 months of previous group therapy, or psychotherapy ending within the last year. Written informed consent was obtained from all study participants.

Altogether, 175 patients were referred to the coordinators, and 167 eligible patients

were randomly allocated to the two treatment arms.

The local coordinator conducted the randomization for each site. The therapists did

not influence the randomization process (Schulz & Grimes, 2002). Stratified randomiza-

tion was performed for one short-term and one long-term group simultaneously, drawing

at least two women and two men for each group to secure mixed-sex groups.

The time interval from referral to assessment and randomization varied from 1 to 7 weeks. The time interval from randomization to the start of therapy varied from 2 to

12 weeks (mean interval 7 weeks). The coordinators were not involved in the treatment.

Groups, therapies and therapists

Eighteen psychotherapy groups were established that met for 90-min weekly sessions.

Nine of the groups were STG and nine were LTG. Our choice of therapy duration was a

compromise between enough time for the therapy to be effective, and how long we

expected most patients would be willing to participate. Each group consisted of seven to

eight patients and one therapist. Slightly more patients attended LTG, because three STGs

started with seven patients in order to prevent loss of patients. Besides, to ensure that a viable group would exist through the planned treatment period, protocol dictated that

patients that terminated in LTG during the first 6 months (n = 8 patients) were replaced by the next patient of the same sex. We wanted to avoid the high dropout rates and

collapse of therapeutic groups that some other group studies have experienced (e.g.,

Budman, Demby, Soldz, & Merry, 1996).

Personality disorder moderates therapy outcome 131

Both therapy formats were manualised group analytic therapies (Lorentzen, 2014)

built on the psychodynamic understanding of a developmental perspective on

personality, the existence of internal representations of interpersonal relationships,

psychological causation, and the influence of unconscious individual and group processes on behaviour. Facilitating or supportive techniques were used to promote interaction,

combined with traditional psychodynamic techniques of confrontation and interpreta-

tion (Foulkes & Anthony, 1984). The aim of group therapy was to become aware of

intrapsychic conflicts and dysfunctional interpersonal patterns, and to increase the

understanding of self, others and interpersonal relationships. Thus, the treatments studied

are not primarily targeted to specific symptom disorders. In STG, therapists were told to

be more active, to have a more circumscribed problem focus, to work more in the here

and now, and to be more attentive to the impending termination phase. Among the nine therapists (two men and seven women), there were two psychiatrists,

three psychologists, three psychiatric nurses, and one social worker. Their mean (SD)

age was 52.7 (3.7) years, time in practice 19.7 (4.4) years, and formal postgraduate

psychotherapy training 12.5 (3.7) years. Each therapist directed one short-term and one

long-term group and was trained in both formats. All therapists met regularly for

supervision.

Assessment

The pre-randomization evaluation (2–4 hr) included a full psychiatric record, the diagnostic interviews Mini International Neuropsychiatric Interview (MINI PLUS;

Sheehan et al., 2002), Structured Clinical Interview for DSM IV Axis-II Personality

Disorders (SCID-II; First, Gibbons, Spitzer, Williams, & Benjamin, 1997), and global

assessment of functioning (GAF; Endicott, Spitzer, Fleiss, & Cohen, 1976). The patients

also completed (as self-reports) the Symptom Check List-90-R (SCL-90-R; Derogatis, 1977)

and the inventory of interpersonal problems circumplex (IIP-C; Alden, Wiggins, & Pincus, 1990). After randomization, the patients met with their therapist individually for two

sessions, during which they received more information about the group and negotiated a

treatment contract.

The self-report outcome measures (SCL-90-R, IIP-C) were completed for all patients

every 6 months in both treatment formats for as long as the LTG was running and for

12 months after LTG termination. Self-reports were also sent to non-starters premature

enders. Selected sessions from both therapies (early, mid-, and end phases) were audio-

recorded. The same coordinators interviewed the patients 3 years after the beginning of

therapy; at this point, the patients were diagnosed on Axes I and II and rated on GAF. We

consider this assessment to be ‘close to blind’, because the coordinators could not

possibly remember the original allocation of the patients, who were instructed to

conceal this.

Measures

Outcome measures

Because most patients had high co-morbidity and chronicity, we selected several

measures intended to capture the diversity of change in symptomatic distress, interpersonal problems, severity of psychopathology, and psychosocial functioning.

The main targets for interventions during group psychotherapy are interpersonal

132 Steinar Lorentzen et al.

problems and psychosocial functioning; these are also the primary outcome variables in

this study.

Symptom checklist-90-revised. The SCL-90-R (Derogatis, 1977) consists of 90 items

rated on a 5-point Likert scale. The general symptom load is reflected in the Global

Severity Index (GSI), which is the mean of all ratings. Cronbach’s alpha was .96 in this

study.

Inventory of interpersonal problems-circumplex. The IIP-C (Alden et al., 1990) is well

validated, and is one of the most widely used self-reports in psychotherapy research. Sixty- four items are rated on a 5-point Likert scale. Cronbach’s alpha was .94 in this study. The

IIP has demonstrated high test–retest stability across 10 weeks, but is still sensitive to change (Horowitz, Rosenberg, Baer, Ureno, & Villasenor, 1988).

Global assessment of functioning (Axis V, DSM-IV; Endicott et al., 1976). Symptom

severity and level of functioning were assessed using the split version of the GAF scale

(Goldman, Skodol, & Lave, 1992), with separate scores for symptom severity (GAF-S) and problems in functioning (GAF-F). The intraclass correlation coefficient (ICC; two-way

random) among five evaluators rating 20 cases was 0.78 for the GAF-S and 0.80 for the GAF-

F (Shrout & Fleiss, 1979).

Target complaint. The target complaint (Battle, Imber, Hoehn Saric, Nash, & Frank,

1966) is a self-report measure of the problems for which a person seeks therapy. This

measure was used as a measure of expectancy in this study. Each patient described the primary problem and rated its severity on a scale ranging from 1 = no problem to 12 = could not be worse, and Expectation of Change from 1 = change to the worse to 12 = go away completely. The duration of target complaint was also recorded.

Moderator

Presence of PD pathology

Axis-II diagnoses (PD criteria items; DSM-IV) were established by the local coordinators

using SCID-II at baseline (First et al., 1997). According to the DSM-IV, the PD comprises 10

specific disorders and one non-specific disorder (American Psychiatric Association [APA], 1994).A consistent finding is that patients with one specific PD often exhibit a high degree

of co-morbidity with other PDs (Critchfield & Benjamin, 2006). The number of fulfilled PD

criteria items has a linear relationship with quality of life and interpersonal dysfunction,

independent of specific PDs (Cramer, Torgersen, & Kringlen, 2006). In agreement with

the view that cumulative scores of criteria items for PD represent the data better than

categorical scores (Gunderson, Links, & Reich, 1991; Hersoug, Monsen, Havik, &

Høglend, 2002; Levenson, Wallace, Fournier, Rucci, & Frank, 2012), we decided to focus

on overall personality pathology rather than specific PDs. The overall personality pathology is the sum of positive criteria items on the SCID-II. The scores ranged from 0 to

31 in this study, with a mean of 8 (6.8) criteria items.

Personality disorder moderates therapy outcome 133

Statistical analysis

With a sample of 120 patients, standard power calculation (end-point analysis) indicated

that a moderate effect size (0.5) could be detected for an alpha threshold of 0.05 with a

power of 0.80 (Altman, 1991). We aimed to include 170 patients, to ensure an adequate sample size of completers in the event of substantial drop-out rates. We used linear mixed

models (LMMs) to analyze longitudinal data (SPSS, 2008). Use of a LMM allows non-

independence of repeated and nested data. It can handle incompleteness due to missing

data. To allow for non-independence of data within patients nested within groups nested

within therapists, ‘patient’, ‘group’ and ‘therapist’ were each treated as random effects:

randomly distributed intercepts and slopes were fitted for each patient, for each group,

and for each of the nine therapists. Treatment (group duration) was coded LTG = 1, STG = 0. Time was coded as a time interval axis, with months as the unit. When the SCL- 90-R or the IIP was used as the outcome variable, a two-piece linear model with the knot at

time = 6 (the end of STG) fitted the data discernibly better than did a linear time slope (change in – 2 log likelihood, p < .005).

To test the treatment effects over time (difference in slopes between STG and LTG), as

well as the putative moderator effect of PD pathology, the following composite model

equation was used: Yij = B0 + B1TIMEij + B2 (TIMEij 9 TREATMENTi) + B3PDi + B4(PDi 9 TIMEij) + B5(PDi 9 TIMEij 9 TREATMENTi) + [foi + f1iTIMEij + eij]. Yij is the dependent variable score for patienti at timepointj; B0–B5 are the fixed effects; and foi, f1iTIMEij, and eij are random intercept, random time and the error term, respectively. Random effects for groups nested within therapists were also tested. By design, treatment

group means were equal at baseline. The statistical model forces both treatments to have a

common intercept. This model is more powerful and is routinely recommended for the

analysis of randomized clinical trials (Fitzmaurice, Laird, & Ware, 2004). After entering

time at level one, all other predictors were entered at level two.

The relevant parameter is the treatment effect, B2 (time 9 group length). That is, the

difference in slopes between LTG and STG. The moderator effect, B5 (time 9 group length 9 PD pathology), signifies whether or not the treatment effect differs for patients

with high versus low levels of PD pathology. Moderators should not be determined by p-

values, but rather by effect sizes (Kraemer, Wilson, Fairburn, & Agras, 2002). When PD

pathology is centred at the mean value among patients with PD (PD criteria items = 12), the treatment effect can be interpreted directly as the effect for the typical (average) PD

patient. When PD pathology is centred at the mean value among patients without PD (PD

criteria items = 3), the treatment effect can be interpreted directly as the effect for the typical non-PD patient.

No longitudinal analyses were conducted on subgroups of patients. Effect sizes

(converted to Cohen’s d), derived from the F-test for mixed effects model, were calculated

as d ¼ 2 ffiffiffiffi F df

q , where F is the F-test statistic for the effect of interest in the repeated model,

as well as other multilevel designs (Verbeke & Molenberg, 2000). Dropout status, defined

as attending less than two-thirds of the scheduled sessions (i.e., fewer than 53 LTG

sessions or 13 STG sessions), was based on clinical consensus and determined before the

statistical analyses were run. Non-starters were randomized patients that did not appear

for group therapy. A pattern mixture approach was used to explore whether or not missing data influenced the results (Gibbons & Hedeker, 1997). That is, we included

starter status and dropout status in the statistical models. The following terms were

entered: status, status 9 time, and status 9 time 9 treatment.

We also calculated the clinically significant change for patients who started in

therapy. Reliable change (RC) is defined as a change that exceeds what could be

134 Steinar Lorentzen et al.

expected from error variance alone (i.e., there is a 95% probability of a true change). It

is estimated for each patient (who is rated to be in the dysfunctional area), on every

outcome measure, based on the reliability of the measurements (Jacobson & Truax,

1991). To obtain clinically significant change (recovery), the patients must also cross a cut-off score between a clinical and a non-clinical sample (Jacobson & Revenstorf,

1988); we used norms from a Norwegian outpatient population to calculate this

threshold (Monsen, Kallerud, Eilertsen, & von der Lippe, 1999). Patients that

improve reliably, without moving into a more healthy population, are classified as

‘improved’, while patients who change reliably in a negative direction are classified as

‘deteriorated’. When the GSI and IIP were used as outcome variables, a change of 0.29

and 0.35 scale points represented RC, and we calculated cut-off points between

dysfunctional and functional populations to be 0.65 and 1.1, respectively (Jacobson & Revenstorf, 1988). For GAF-S and GAF-F, RC was 7.0 scale points, with a cut-off point of

70 on the GAF scale.

We also calculated the number of patients that needed treatment, in order to

implement a clinically significantly change in one LTG patient with PD, compared to an

STG patient: number needed to treat (NNT) = 1/ARR (absolute risk reduction) = 1/CER (control event rate) � EER (experimental event rate). CER and EER are the percentages of patients that have achieved a clinically significant change in STG and LTG, respectively

(see above).

Results

Patient flow

A flow chart describing the patient dispensation is depicted in Figure 1.

Although a total of 175 patients were evaluated, eight patients did not meet the study

inclusion criteria. One hundred sixty-seven patients were randomized (90 to LTG and 77

to STG). Nineteen patients did not appear for the group (12 in LTG and 7 in STG; v2 = 0.72, df = 1, p = .47). We have information from 13 of these 19 patients (68%) regarding why they did not start in therapy: four chose alternative treatments while

waiting for the group to start, six were sceptical of their therapist or the group format, and

three had external reasons (change in employment). There was no difference in positive

expectations of treatment between these patients and starters, t(164) = 0.57, p = .57, 95% CI [�0.89, 1.60].

Rates of premature termination differed: 26 patients (33.3%) in LTG and 6 patients

(8.6%) in STG, v2 = 11.9, df = 1, p < .001. The number of premature terminations during the first 6 months was equal in STG and LTG, as we demonstrated previously in

a Kaplan–Meier diagram (Lorentzen et al., 2013). After 6 months, the attrition per time unit remained the same in LTG as during the first 6 months. We have information

about why 26 out of 32 patients (81%) ended prematurely: ten thought the group was

not helpful, eight were dissatisfied with the group or the therapist for different reasons,

four obtained the help they needed, and four had external reasons (usually change in

employment).

The mean number of sessions in treatment for starters was 18.9 (3.8) in STG and 57.7 (26.9) in LTG, which comprises respective attendance rates of 94.5% (19.1) and 72.1%

33.9; t(122) = 5.0, p < .0005 (independent t-test, two-tailed). Seventy-nine of 90 patients (88%) completed the 3-year follow-up interview after LTG versus 71 of 77 patients (92%)

after STG. For the PD patients (n = 75), 91% and 93% participated in the follow-up evaluations after LTG and STG, respectively.

Personality disorder moderates therapy outcome 135

Patient characteristics at baseline

Table 1 summarizes the patients’ baseline characteristics, for the whole sample

(n = 167). There were significantly more patients with generalized anxiety disorder in LTG (v2 = 3.84, df = 1, p = .05). All other differences were statistically non-significant.

The mean number of co-morbid Axis-I diagnoses per patient was 3.3. Patients reported

that the problems they wanted therapy for had a mean duration of 15 years. Sixty-eight percent reported previous psychiatric treatment.

Correlations between outcome variables are presented in Table 2. With the exception

of psychosocial functioning, most correlations were small to moderate, indicating that

they measured different aspects of change.

Referrals to coordinator and assessed for eligibility n = 175

Excluded, did not meet inclusion criteria n = 8

Included in random assignment n = 167

Assigned LTG n = 90

Assigned STG n = 77

Started treatment n = 78

Started treatment n = 70

Withdrew N = 12 (13.3%)

Withdrew N = 7 (9.1%)

Received interven on n = 52 (57.8%)

Discon nued N = 26 (33.3%)

Received interven on n = 64 (83.1%)

Discon nued n = 6 (8.6%)

Completed 3-year follow-up interview n = 71 (92 %; includes 9 withdrawals and premature termina ons)

Completed 3-year follow-upinterview n = 79 (88 %; includes 30 withdrawals and premature termina ons)

Figure 1. Patient flow in a randomized clinical trial of short- and long-term group analytic

psychotherapy.

136 Steinar Lorentzen et al.

Therapist and group effects

With the GSI and IIP-C as outcome variables, random variances for groups and therapists

were small; all ICCs were <.02. When the GAF-S was used as an outcome variable, the random intercept variance for therapists indicated some non-independence in the data (ICC = .02). The therapist intercept was therefore included as a random effect in the statistical model. This improved goodness-of-fit significantly (change in �2LL, p < .01). When the GAF-F was employed as an outcome variable, the random intercept variance for

therapists also indicated some non-independence in the data (ICC = .02), and therapist intercept was included in the statistical model as a random effect. It should be noted that

Table 1. Pretreatment characteristics of randomized patients in short- and long-term group analytic

psychotherapy (n = 167)

Short-term groups Long-term groups Sample

n = 77 n = 90 n = 167 Mean (SD) Mean (SD) Mean (SD)

Age 38.6 (9.4) 38.2 (9.4) 38.4 (9.4)

Education 13.8 (3.3) 13.7 (3.1) 13.7 (3.2)

Expectations a

7.9 (2.4) 7.2 (2.7) 7.7 (2.6)

Number axis-I diagnoses 3.2 (1.9) 3.4 (2.0) 3.3 (2.0)

Number axis-II diagnoses 0.5 (0.9) 0.7 (0.9) 0.6 (0.9)

SCID-II (DSM-IV) Criteria 7.5 (7.3) 8.5 (6.4) 8.0 (6.8)

n (%) n (%) n (%)

Female 50 (65) 55 (61) 105 (63)

Single 34 (44) 41 (46) 75 (45)

Formerly hospitalized 7 (9) 13 (14) 20 (12)

Axis-I diagnosis

Major dep, single 5 (7) 10 (12) 15 (10)

Major dep, recurrent 53 (69) 61 (72) 114 (68)

Dysthymia 7 (9) 3 (20) 10 (6)

Panic disorder 23 (30) 34 (40) 57 (34)

Agoraphobia 8 (10) 4 (4) 12 (7)

Obsess-Comp disorder 8 (10) 20 (21) 28 (17)

Social phobia 24 (31) 31 (38) 55 (33)

GAD 11 (14) 28 (30) 39 (23)

PTSD 6 (8) 1 (1) 7 (4)

Somatoform disorder 12 (16) 23 (26) 35 (21)

Other 29 (38) 28 (31) 57 (34)

No axis-I diagnosis 1 (1) 3 (3) 4 (2)

Axis-II diagnosis

Avoidant 18 (23) 29 (32) 47 (28)

Dependent 3 (4) 5 (6) 8 (5)

Obsessive compulsive 3 (4) 11 (12) 14 (8)

Paranoid 7 (9) 4 (4) 11 (7)

Borderline 5 (7) 4 (4) 9 (5)

PD NOS 4 (5) 9 (10) 13 (8)

Antisocial 0 2 (2) 2 (1)

Note. GAD = generalized anxiety disorder; PTSD = post traumatic stress disorder; SCID-II (DSM- IV) = Structural Clinical Interview for DSM-IV Axis-II Personality Disorders. a After randomization. v2 = 3.84, p = .05 (n = 167).

Personality disorder moderates therapy outcome 137

ICCs for groups might be underestimated because each therapist provided only two

groups (one in each condition), which also confounds the group and therapist effects in

this study.

Treatment fidelity

Thirty-nine audio recordings from the first 6 months of therapy (sessions 3, 10, and 17 of

both formats) were drawn from the pool of 54 recordings. Two evaluators blindly and independently rated sessions on therapist activity level, degree of focus, group work in the

here and now, and therapist competence, using Likert scales from 0 (not at all) to 4 (very

much). ICC on the therapy process scales ranged from 0.70 to 0.94. There was significantly

more workona circumscribedproblem focus– t(15) = 2.3, p = .04 – and work in the here- and-now in STG – t(35) = 2.1, p = .04, as suggested in the treatment manuals. The levels of therapist activity were equal in the two groups. Therapist mean competence was similar in

both formats, ranging from moderate to high: M = 2.7 (0.5), range 1.7–3.4, in STG; and 2.3 (0.5), range 1.9–3.1, in LTG. We reported previously that there were no significant differences (sessions 3, 10, and 17) in therapeutic alliance or group cohesion between the

two group formats (Bakali, Wilberg, Hagtvet, & Lorentzen, 2010).

Moderator analyses

One case was deleted from all analyses of longitudinal data. This patient did not meet study

inclusion criteria and should not have been included; however, the main reason for

exclusion was that the case was an extreme outlier, >3 SDs away from the mean of the distributions. Including this case significantly worsened goodness-of-fit measures (change

in �2 log likelihood, p < .001). Therefore, all longitudinal analyses were performed on 166 patients.

The interaction term PD 9 time 9 treatment tests whether or not PD pathology

moderates the treatment effect (that is, whether the treatment effect is different for

patients with high vs. low PD pathology). When we used the GSI as an outcome measure,

we were not able to demonstrate a significant moderator effect of PD pathology during the

first 6 months. When we used the IIP, the treatment effect tended to be stronger for patients without PD pathology during the first 6 months. Although the difference was not

statistically significant, the effect size of this moderator term was 0.3. When the GSI or IIP

were used as outcome variables, PD pathology did not moderate the treatment effects

during the last 2.5 years. Both patients with and without PD pathology improved more in

LTG than in STG during this period. Using the GAF-S, we were able to detect a moderator

Table 2. Intercorrelations between outcome variables at baseline

1 2 3 4

Symptoms, GSI .55** �.30** �.38** Interpers. prob. IIP-C .55** �.11 �.18* GAF-symptoms �.30** �.11 .75** GAF-function �.38** �.18* .75**

Note. GAF = global assessment of functioning; IIP-C = inventory of interpersonal problems circumplex; GSI = Global Severity Index. *Significant at .05, and **significant at .01 level (2-tailed).

138 Steinar Lorentzen et al.

effect of PD pathology, b = .014 – F(1, 148) = 6.34, p = .06; the effect size was 0.4. With the GAF-F as an outcome variable, the trend moderator effect was b = .013 – F(1, 148) = 3.13, p = .08; the effect size was 0.3. In both cases change was measured across 3 years, and patients with greater PD pathology changed more.

When we included starter status (1, 0) and/or premature termination status in the

statistical models (Gibbons & Hedeker, 1997), these terms were non-significant,

goodness-of-fit (�2LL) was not improved, and the pattern of results did not change. These results were to be expected because the proportions of missing data were

low.

Typical patients with or without PD For the typical (average) patient with PD (PD criteria items = 12), we did not detect any significant differences in effectiveness between LTG and STG during the first 6 months

of the study period when we used the GSI and IIP as outcome variables. The parameters

were b = .01, F(1, 217) = 0.22, p = .64 and b = .11, F(1, 211) = 0.79, p = .38, for GSI and IIP, respectively. However, during the last 2.5 years, LTG was superior to STG, as

measured with both the GSI and the IIP. For the GSI, b = �.01, F(1, 229) = 10.24, p = .002; the effect size was 0.4. For the IIP, b = �.004, F(1, 218) = 3.74, p = .05; the effect size was 0.3. When the GAF-S was employed as an outcome variable, LTG worked significantly better than STG. The treatment effect was b = .15, F(1, 144) = 6.17, p = .01; the effect size was 0.4. When the GAF-F was employed as an outcome variable, there was a trend that LTG was superior to STG: b = .11, F(1, 144) = 3.5, p = .07, with an effect size of 0.3.

For the typical patient without PD (PD criteria items = 3), there were no differences in effectiveness between the two treatments, when the GAF-S and GAF-F

were employed as outcome variables. When the GSI was used as an outcome measure,

there was no significant difference between STG and LTG during the first 6 months – b = .02, F(1, 204) = 2.43, p = .12, although STG tended to exhibit more improvement than LTG. The effect size was 0.2. From 6 to 36 months, there was a therapy effect in

favour of LTG: b = �.01, F(1, 227) = 14.75, p < .005, with an effect size of 0.5. When the IIP was used, STG worked significantly better than LTG during the first 6 months,

with a corresponding increased change in LTG from 6 to 36 months. The respective

parameters are b = .04, F(1, 197) = 9.91, p = .002, effect size 0.4; and b = �.01, F(1, 210) = 7.8, p = .006, effect size 0.4.

Clinically significant and reliable change

Among PD patients, clinically significant change (recovery) as measured by the GSI

was achieved by 41.4% of patients in LTG versus 26.3% of patients in STG (v2 = 0.58, df = 1, p = .45). For the IIP, the corresponding numbers were 41.2% versus 21.1% (v2 = 1.4, df = 1, p = .24). When the GAF-S was employed as an outcome measure, recovery was achieved by 44.7% in LTG versus 18.2% in STG (v2 = 3.51, df = 1, p = .06). When the GAF-F was employed, the corresponding figures were 54.3% versus 42.9% (v2 = 0.44, df = 1, p = .51). All calculations are with continuity correction.

The NNT in order to have one more PD patient recovered in LTG than STG is

(measured for each outcome variable): 7 for the GSI, 5 for the IIP, 4 for the GAF-S and 9 for

the GAF-F.

Personality disorder moderates therapy outcome 139

Differential changes in PD criteria for Clusters A, B and C

Preliminary secondary analyses indicate that endorsed criteria for Clusters C and A are

more important moderators of change than Cluster B criteria. This finding will be

explored further in future studies.

Deterioration

We did not detect a significant difference between STG and LTG regarding the

proportion of patients that deteriorated. Across all outcome variables, 5.7% deterio-

54

56

58

60

62

64

66

68

70

72

74

–2 36

G A F- F

Months Short-term PD + (N = 28) Long-term PD + (N = 46) Long-term PD – (N = 43)

Short-term PD – (N = 49)

54

56

58

60

62

64

66

68

70

72

74

–2 36

G A F- S

Months

0.5

0.6

0.7

0.8

0.9

1

1.1

1.2

1.3

0 6 12 18 24 36

G SI

Months

Short-term PD + (N = 25) Long-term PD + (N = 44) Long-term PD – (N = 38)

Short-term PD – (N = 46)

0.7

0.8

0.9

1

1.1

1.2

1.3

1.4

1.5

1.6

1.7

0 6 12 18 24 36

IIP

Months

(A)

(C) (D)

(B)

Figure 2. Change in the four main outcome variables during 3 years. (A) Global Severity Index (GSI)

score for patients with and without personality disorders (PD) in long-term and short-term therapy

(N = 153). (B) Inventory of interpersonal problems (IIP) score for patients with and without PD in long- term and short-term therapy (N = 153). (C) global assessment of functioning (GAF) symptom score for patients with and without PD in long-term and short-term therapy (N = 166). (D) GAF function score for patients with and without PD in long-term and short-term therapy (N = 166).

140 Steinar Lorentzen et al.

rated in STG versus 5.9% in LTG. The corresponding proportion of deteriorators among

PD patients was 4.4% versus 7.0% among patients without PD. Burden and other

adverse effects for patients were small. There were no suicide attempts or completed

suicides. Figure 2, presents the descriptive change regarding all outcome variables during the

entire study period. LTG and STG exhibited similar effectiveness for patients with PD

during the first 6 months (Figure 2A,B). After 6 months, PD patients in STG improved

very little, while PD patients in LTG continued to improve. For patients without PD, STG

appeared to work faster initially. When the IIP was employed as the outcome variable,

LTG participants did not quite ‘catch up’ after 36 months. PD patients improved more in

LTG than in STG (Figure 2C,D). The improvement rate was almost identical for patients

without PD. The patients were interviewed about additional treatment (e.g., hospitalizations,

psychoactive drugs, consultations, etc.) and sick leave during the 3 years. Surprisingly,

there were not any statistically significant differences between STG and LTG regarding the

use of health services by patients with or without PD. Therefore, the use of additional

treatment was unlikely to be a confounding factor in this study.

The patients recorded positive and negative life events annually (before therapy start,

and at 1, 2, and 3 years). There were no significant differences between STG and LTG for

patients with or without PD.

Discussion

As far as we know, this is the first randomized clinical trial to compare the effectiveness of

psychodynamic short- and long-term group psychotherapy. We reported earlier that we

were unable to detect any difference in effectiveness, on average, between the two

treatment arms throughout the 3-year study period (Lorentzen et al., 2013).

However, LTG was more effective than STG for the typical PD patient (PD criteria items = 12). When the SCL-90-R and IIP were used as outcome variables, improvement in the two groups was similar during the first 6 months, but LTG was more effective during

the last 2.5 years of the study period. When the GAF-S and GAF-F were employed as

outcome variables, LTG was more effective than STG.

In this study we have observed moderator effects of PD pathology, as demonstrated by

the significantly higher change of GAF-S and GAF-F scores among patients with greater PD

pathology that participated in LTG versus STG.

For the typical non-PD patient (PD criteria items = 3), we did not detect any significant difference in effectiveness over the 3-year study period. When the SCL-90-R and IIP were

used as outcome variables, patients without PD tended to improve more in STG than in

LTG during the first 6 months of the study period. This is probably due to the time limit,

the more circumscribed problem focus, and more work in the here and now, which

appears to quicken the initial change process. However, these patients changed

significantly more in LTG than in STG during the last 2.5 years. As it may seem that the STG

and LTG patients end up equally well after 36 months, the results may be difficult to

interpret. However, because STG tends to work faster than LTG, it could be argued that STG tends to be more favourable than LTG for non-PD patients. A follow-up study at a later

time-point might indicate the degree of further change in STG and LTG.

There was a greater number of premature terminations among participants in LTG

than STG, but no increase in attrition rate throughout LTG. This finding means that

the greater number of dropouts in LTG is partly due to the fact that LTG is four times

Personality disorder moderates therapy outcome 141

as long as STG. However, in retrospect there also seemed to be greater dissatisfaction

among therapists regarding group composition in LTG, and a few therapists also

failed to integrate some members into their groups (Horneland, Sande, Høbye,

Knudsen, & Lorentzen, 2012). Groups formed by randomization might have had a suboptimal composition compared with the groups that the therapists would have

put together.

Surprisingly, the STG patients did not seek more additional treatment than the patients

in LTG during the 3-year study period. As part of the clinical routine (and recommendation

in the manual) at the end of therapy the patients were asked not to seek additional

treatment during the following year unless treatment was urgently needed, because

delayed positive effects after treatment might be experienced. This advice may have been

easier to follow because patients in STG (especially those without PD) were also improved after therapy.

Although the proportion of clinically significant change (recovery) among PD patients

was higher among LTG participants than among STG participants, we were unable to

demonstrate significant differences (except for the GAF-S), which may be caused in part

by a low n (Type II error). Still, we think that the larger treatment effect in the LTG group

justifies a longer treatment for most PD patients. In the largest meta-analysis of active

psychotherapy versus placebo/waitlist control (Lipsey & Wilson, 1993), NNT = 4. It should be noted that our study compares two active treatments, and that STG patients also undergo important change. In spite of this, our NNT among PD patients is about as strong

as treatment versus placebo control for two of the outcome variables. PD patients may be

difficult to treat (Bender et al., 2001; Perry et al., 1999), and they experience a high

burden of disease, comparable to severe somatic illnesses (Soeteman, Verheul, &

Busschbach, 2008). Recovery/improvement in PD patients may therefore represent both

economic and human cost savings.

Strengths and limitations

This study has several strengths. First, the treatment took place in ordinary treatment

settings (outpatient departments and private practices) with regular patients and

therapists, which may allow us to generalize our findings to these clinical situations. Other

strengths are the high inclusion rate from referral and the regular sending of self-reports to

all randomized patients. This, and the fact that approximately 90% of the patients

participated in a 3-year follow-up, has resulted in a nearly complete data set, allowing for

reliable results from the statistical analyses. Despite these strengths, several limitations should also be noted. Although

randomization is the ‘gold standard’ from a methodological point of view, in some

respects it may represent a drawback from a clinical point of view. Therapists were not

allowed to select their own patients and ‘compose’ their groups in the way they usually

would, which may restrict the generalizability of our findings to some extent

(Horneland et al., 2012). On the other hand, therapists were not allowed to exclude

patients included in the study, which may in fact increase generalizability, and might

reduce the magnitude of treatment effects (and thereby reduce the likelihood of overestimating them). The patient sample had a wide variety of diagnoses, which may

make it difficult to evaluate the effects of group therapy duration on a specific

psychiatric disorder, such as depression. On the other hand, the wide variety of

diagnoses may actually increase generalizability to patients seeking outpatient group

psychotherapy.

142 Steinar Lorentzen et al.

Clinical implications

Patients entering group therapy should be carefully evaluated for the presence of PD

before a specific duration of therapy is prescribed. A routine of offering all patients

LTG, which is not uncommon in slow-open, mixed groups, appears to be unnecessary and may be a waste of resources. A routine of offering all patients STG, and continuing

in LTG if STG provides insufficient improvement, may be an alternative. However,

changing groups and therapists can also entail problems, probably more so for patients

with PD. Correct initial allocation of patients may prevent disruptive breaks in

therapeutic alliances and bonding to fellow group members among PD patients, and

may also protect patients without PD from a long period of less productive therapy.

Careful initial evaluation and patient allocation may lead to both economic and human

cost savings, as well as more realistic expectations of improvement within specific time frames.

Conclusion

This study indicates that LTG is more favourable for patients with co-morbid PD. For patients without PD, LTG does not provide any additional gain. Replication of these results

is needed. A new trial that examines STG or LTG for PD patients only would provide a

more definitive test of the hypothesis generated in this study.

Acknowledgements

We want to express gratitude to the following Institutions and persons for important

contributions: Outpatient clinics at Community Mental Health Centers in�Alesund, Alna (Oslo),

in Sandnes and Ryfylke (Stavanger), Laila Hjulstad, Knut Skjøstad, Vibeke Lohne, Allan Larsen,

Kirsten Høbye, Helge Knudsen, Marthe Horneland, Dagny Sande Børnes, Ole Inge Gjøen,

Wibeke Kløvning, Synnøve A. Kristiansen, Martin Mydske Nilssen, Ørjan Berg.

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