Unknown

Dataset Information

0

Predictors of disengagement from Early Intervention in Psychosis services.


ABSTRACT:

Background

The effectiveness of Early Intervention in Psychosis (EIP) services for individuals with a first episode of psychosis (FEP) could be thwarted by high rates of early disengagement.AimsTo investigate which factors predict disengagement with EIP services.

Method

Using data from a naturalistic cohort of 786 EIP clients in East Anglia (UK), we investigated the association between sociodemographic and clinical predictors and disengagement using univariable and multivariable Cox proportional hazards models.

Results

Over half (54.3%) of our sample were discharged before receiving 3 years of EIP care, with 92 (11.7%) participants discharged due to disengagement. Milder negative symptoms, more severe hallucinations, not receiving an FEP diagnosis, polysubstance use and being employed were associated with greater disengagement.

Conclusions

Our findings highlight heterogeneous reasons for disengagement with EIP services. For some patients, early disengagement may hinder efforts to sustain positive long-term EIP outcomes. Efforts to identify true FEP cases and target patients with substance use problems and more severe positive symptoms may increase engagement.Declaration of interestNone.

SUBMITTER: Solmi F 

PROVIDER: S-EPMC6071847 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Predictors of disengagement from Early Intervention in Psychosis services.

Solmi Francesca F   Mohammadi Abdolali A   Perez Jesus A JA   Hameed Yasir Y   Jones Peter B PB   Kirkbride James B JB  

The British journal of psychiatry : the journal of mental science 20180801 2


<h4>Background</h4>The effectiveness of Early Intervention in Psychosis (EIP) services for individuals with a first episode of psychosis (FEP) could be thwarted by high rates of early disengagement.AimsTo investigate which factors predict disengagement with EIP services.<h4>Method</h4>Using data from a naturalistic cohort of 786 EIP clients in East Anglia (UK), we investigated the association between sociodemographic and clinical predictors and disengagement using univariable and multivariable C  ...[more]

Similar Datasets

| S-EPMC9651118 | biostudies-literature
| S-EPMC2745530 | biostudies-other
| S-EPMC9013142 | biostudies-literature
| S-EPMC7937295 | biostudies-literature
| S-EPMC5423995 | biostudies-literature
| S-EPMC6453756 | biostudies-literature
| S-EPMC6137532 | biostudies-literature
| S-EPMC5971412 | biostudies-literature
| S-EPMC10755576 | biostudies-literature
| S-EPMC7801610 | biostudies-literature