ABSTRACT
Background and aim
Personality functioning is predictive of drug misuse and relapse, yet little is known about the role of personality in engagement with the treatment process. This study aimed to estimate the extent to which broad and facet level characteristic adaptations contribute to or hinder treatment engagement, while controlling for psychosocial indicators.
Design
Multi‐site cross‐sectional survey.
Setting
Inpatient treatment units covering 80% of residential treatment entries in Greece.
Participants
338 service users, 287 (84.9%) male, 51 (15.1%) female, average age 33.4 years.
Measurements
Expressions of personality functioning (characteristic adaptations) were assessed using the Severity Indices of Personality Problems (SIPP‐118). Treatment engagement was measured using the Client Evaluation of Self and Treatment, inpatient version (CEST).
Findings
Dysfunctional levels of Relational Capacities predicted Counselling Rapport (β= 1.50, 95%CI= 0.36 to 2.69, p=. 013), Treatment Participation (β=2.09, 95%CI= 1.15 to 3.11, p< .001) and Treatment Satisfaction (β= 1.65, 95%CI=.073 to 2.57, p< .001). Counselling Rapport was also predicted by dysfunctional levels in Self‐Control (β= 1.78, 95%CI=.89 to 2.67, p< .001), Self‐Reflective Functioning at the facet level (β= 2.24, 95%CI= 1.01 to 3.46, p< .001) and Aggression Regulation (β= 1.43, 95%CI= 0.43 to 2.42, p= .005). Dysfunctional levels on Social Concordance (β= ‐1.90, 95%CI= ‐2.87 to ‐ .94, p= .001), Emotional Regulation (β= 1.90, 95%CI= .87 to 2.92, p< .001) and Intimacy (β=2.04, 95%CI= 1.31 to 3.05, p< .001) were significant predictors of Treatment Participation. Treatment Readiness and Desire for Help predicted treatment engagement.
Conclusions
In people attending substance use treatment services, maladaptive interpersonal patterns and relational intimacy, emotional dysregulation and impulse control may be associated with low levels of Counselling Rapport and Treatment Participation. Low frustration tolerance and aggressive impulses also appeared to predict low participation.