Rate and predictors of service disengagement in an epidemiological first-episode psychosis cohort
Introduction
The early phase of psychotic disorders has received increasing attention over the last 20 years, and the efficacy of specialised early intervention programs has now been established through randomised controlled trials (Garety et al., 2006, Petersen et al., 2005). One of the main aims of such programs has been to reduce the duration of untreated psychosis (DUP) (Melle et al., 2004, Marshall et al., 2005, Schimmelmann et al., 2008, Polari et al., 2009) in order to provide treatment at an earlier stage of the illness, considering findings of a link between longer DUP and poorer outcome (Marshall et al., 2005). However, if early identification of patients is an essential element to early intervention, the benefits of these efforts are likely to be mitigated by various factors, among which poor adherence to treatment and disengagement from services are particularly critical. Previous studies have shown that rates of disengagement from outpatient psychiatric services range from 17% to 60% (Garety et al., 2006) and that this prevalence is also relatively high in programs specialised in early intervention in psychosis, ranging for the majority of them between 18% and 25% (Turner et al., 2007, Malla and Norman, 2001, Craig et al., 2004) after 12 months of treatment. Petersen et al. (2005) reported a remarkably lower disengagement rate (of 7% over 2 years) in the OPUS project, and showed that the development of integrated early intervention programs offers better chances to keep patients in treatment; the disengagement rates reported by other programs providing such type of treatment approach (Turner et al., 2007, Malla and Norman, 2001., 2001; Craig et al., 2004) suggest however that such strategies are not sufficient to resolve the issue in every context.
A better knowledge of the characteristics of first-episode psychosis (FEP) patients who are more likely to disengage from treatment may allow the development of preventive strategies and treatment adaptations that could improve this matter. To our knowledge, only two studies conducted in FEP samples have so far attempted to identify predictors of service disengagement defined as “treatment discontinued in spite of need”. First, in a sample of 288 FEP patients followed up for 2 years, Turner et al (2007) found a 24.6% rate of disengagement that was associated with longer DUP, lower levels of psychotic symptoms, presence of a co-morbid substance use disorder (SUD) and low level of insight at program entry, and with a diagnosis of a non-affective psychosis. However, due to the relatively low number of patients included in the study, the regression model constructed on these variables did not allow a good prediction of later disengagement, calling for replication in larger samples. Second, in a sample of 157 adolescents (aged 15 to 18) drawn from the First Episode Psychosis Outcome Study cohort (FEPOS) (Conus et al., 2007), service disengagement occurred in 28% of patients, and was more likely in patients who had lower levels of psychopathology at baseline, persistence of SUD during treatment and were living away from family (Schimmelmann et al., 2006). The focus on such a specific and relatively small sub-group is however likely to have generated information that cannot be generalised to the vast majority of patients, considering onset of FEP usually occurs at a later age.
Taking these elements and limitations into account, we planned the current study in order to explore the issue of service disengagement in a representative cohort of subjects with FEP and to assess (a) the rate of service disengagement in all patients treated at Early Psychosis Prevention and Intervention Centre (EPPIC) between 1998 and 2000 and (b) the predictors of service disengagement from the EPPIC program. Predictors were grouped chronologically in (i) demographic and pre-treatment variables, (ii) baseline variables (i.e. baseline illness characteristics as well as diagnoses) and (iii) variables during the course of treatment.
Section snippets
Context and sample
The initial sample comprised a population-based cohort of 786 patients with FEP, consecutively admitted to the Early Psychosis Prevention and Intervention Centre (EPPIC) in Melbourne, Australia, between 1998 and 2000. EPPIC has a mandate to treat all FEP patients aged 15–29 in their catchment area; as such, the study sample represents an epidemiologically based cohort. The EPPIC program comprises a comprehensive early intervention treatment program, including assertive case management, with a
Sample characteristics
The mean age of the complete sample was 22.0 (SD 3.4) years; 65.8% were male. The majority of patients were diagnosed at entry with schizophrenia-spectrum disorders (schizophreniform disorder 39.2%; schizophrenia 21.9%; and schizoaffective disorder 6.1%), followed by bipolar disorder (19.0%), and other psychoses (14.0%). Demographic, premorbid and baseline characteristics of the 660 subjects can be found in Table 1. Data regarding course of SUD during treatment as well as living situation,
Discussion
To the best of our knowledge, this is the largest study exploring rate and predictors of service disengagement in a treated epidemiological cohort of FEP patients. The assessment of the files of the vast majority of patients treated at EPPIC during the study period gave us access to a sample that is highly representative of FEP patients treated in public mental health services, and our findings are therefore likely to be relevant to clinical programs offering treatment to FEP patients in a
Role of funding sources
The study was conducted at the Early Psychosis Prevention and Intervention Centre (EPPIC) in Melbourne, and was supported by Eli Lilly Australia in the frame of an investigator initiated trial; however, this company did not have any involvement in the study design, in the collection, analysis and interpretation of data, in the writing of the report and in the decision to submit the paper for publication.
Contributors
P. Conus and M. Lambert designed the study, wrote the protocol and collected data. S. Cotton and B.G. Schimmelmann conducted data analysis. P. Conus wrote the first draft of the paper. C. Bonsack, P.D. McGorry, M. Lambert, B.G. Schimmelmann and S. Cotton contributed to and have approved the final manuscript.
Conflict of interest
None related to this publication.
Acknowledgements
Dr. Philippe Conus is supported by the Leenaards Foundation, Switzerland. Dr Sue Cotton is supported by the Ronald Phillip Griffith Fellowship, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne.
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