Literature DB >> 25175055

Typology of people with first-episode psychosis.

Mythily Subramaniam1, Huili Zheng2, Pauline Soh1, Lye Yin Poon3, Janhavi A Vaingankar1, Siow Ann Chong1,3, Swapna Verma3.   

Abstract

AIMS: The aim of the current study was to create a typology of patients with first-episode psychosis based on sociodemographic and clinical characteristics, service use and outcomes using cluster analysis.
METHODS: Data from all respondents who were accepted into the Early Psychosis Intervention Programme (EPIP), Singapore from 2007 to 2011 were analysed. A two-step clustering method was carried out to classify the patients into distinct clusters.
RESULTS: Two clusters were identified. Cluster 1 comprised largely of younger people with mean age of 25.5 (6.0) years at treatment contact, who were predominantly male (55.3%), single (98.3%) and living with parents (86.3%). Cluster 1 had a higher proportion of people diagnosed with the schizophrenia spectrum disorder (71.4%) and with a positive family history of psychiatric illness. Patients in cluster 2 were generally older with a mean age of 33.6 (4.7) years and the majority were women (74.2%). Cluster 1 had people with higher Positive and Negative Syndrome Scale (PANSS) scores at baseline as compared with cluster 2. After a 1-year follow up, their scores were still poorer than their counterparts in cluster 2, especially for PANSS negative score. The functioning level of people in cluster 1 showed less improvement than the people in cluster 2 after a year of treatment.
CONCLUSIONS: There is a compelling need to develop new therapies and intensively treat young people presenting with psychosis as this group tends to have poorer outcomes even after 1 year of treatment.
© 2014 Wiley Publishing Asia Pty Ltd.

Entities:  

Keywords:  cluster analysis; first-episode psychosis; functioning; negative symptoms; typology

Mesh:

Substances:

Year:  2014        PMID: 25175055     DOI: 10.1111/eip.12178

Source DB:  PubMed          Journal:  Early Interv Psychiatry        ISSN: 1751-7885            Impact factor:   2.732


  3 in total

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Authors:  Marie-Josée Fleury; Guy Grenier; Jean-Marie Bamvita
Journal:  Community Ment Health J       Date:  2017-11-13

2.  Profiles of Service Users with Severe Mental Disorders Based on Adequacy of Help.

Authors:  Marie-Josée Fleury; Guy Grenier; Jean-Marie Bamvita
Journal:  Psychiatr Q       Date:  2019-09

3.  Pathways to mental health services for young people: a systematic review.

Authors:  Kathleen MacDonald; Nina Fainman-Adelman; Kelly K Anderson; Srividya N Iyer
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2018-08-22       Impact factor: 4.328

  3 in total

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