Journal
SCHIZOPHRENIA RESEARCH
Volume 204, Issue -, Pages 65-71Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.schres.2018.08.022
Keywords
Schizophrenia-spectrum disorders; Remission; Recovery; Long-term outcomes
Categories
Funding
- Health and Health Services Research Fund, Food and Health Bureau, the Government of the Hong Kong Special Administrative Region [SMH-28]
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The long-term recovery rate of patients with schizophrenia-spectrum disorders has been persistently low despite the implementation of early intervention (EI) services internationally. It is, therefore, important to identify the modifiable factors during the early stage of the illness that predict long-term remission and recovery. The aim of this study is to explore the predictive value of the early stage clinical factors on the clinical remission and functional recovery at 10-year follow-up of patients with schizophrenia-spectrum disorders who received a 2-year EI service. Patients who received the EI service throughout the region of Hong Kong between 1st July 2001 and 30th June 2002 and with a diagnosis of schizophrenia-spectrum disorder were identified from the centralized hospital database (Clinical Management system, CMS). Semi-structured clinical interview was conducted at 10-year follow-up with a successful interview rate of 74.3% (n = 107). Clinical data was systematically retrieved each month for the first three years from the CMS and written clinical records using a standardized data entry form based on operationalized definitions. Results found shorter duration of untreated psychosis (DUP) predicted long-term clinical remission: higher educational level and shorter period of unemployment during the initial three years of the illness predicted functional recovery. Higher educational level, longer period of employment and planned medication discontinuation during the initial three years predicted complete recovery. The current study demonstrates the long-term impact of DUP and suggests improvement of employment during the early stage of illness could be a potential target for further improvement of the service. (C) 2018 Elsevier B.V. All rights reserved.
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