香港一项为期两年的精神病早期干预项目的退出率及预测因素。
Rate and predictors of disengagement from a 2-year early intervention program for psychosis in Hong Kong.
作者信息
Chan Tracey C W, Chang W C, Hui Christy L M, Chan Sherry K W, Lee Edwin H M, Chen Eric Y H
机构信息
Department of Psychiatry, The University of Hong Kong, Queen Mary Hospital, Pokfulam Road, Hong Kong.
Department of Psychiatry, The University of Hong Kong, Queen Mary Hospital, Pokfulam Road, Hong Kong.
出版信息
Schizophr Res. 2014 Mar;153(1-3):204-8. doi: 10.1016/j.schres.2014.01.033. Epub 2014 Feb 14.
OBJECTIVES
This study aims to examine the prevalence and predictors of disengagement in a longitudinal cohort of first-episode psychosis (FEP) patients.
METHODS
Seven hundred FEP patients aged 15 to 25 enrolled into the Early Assessment Service for Young People with Psychosis (EASY) from 2001 to 2003 were recruited into the study. Data on sociodemographics, clinical characteristics, baseline symptoms and functioning and medication adherence were collected. Rate and predictors of service disengagement were the outcomes of interest. Predictors were examined using Cox proportional hazards model.
RESULTS
Ninety four patients (13%) were disengaged from the EASY program. Fewer negative symptoms at initial presentation, a diagnosis other than schizophrenia-spectrum disorder and poorer medication compliance in the first month of treatment were significant predictors of disengagement from service.
CONCLUSIONS
Early intervention teams should pay attention to factors associated with disengagement, and monitor at risk patients closely to detect signs of non-adherence.
目的
本研究旨在调查首发精神病（FEP）患者纵向队列中脱离治疗的患病率及预测因素。
方法
招募了2001年至2003年纳入青少年精神病早期评估服务（EASY）的700名年龄在15至25岁的FEP患者。收集了社会人口统计学、临床特征、基线症状、功能及药物依从性的数据。服务脱离的发生率及预测因素是感兴趣的结果。使用Cox比例风险模型检查预测因素。
结果
94名患者（13%）脱离了EASY项目。首次就诊时阴性症状较少、非精神分裂症谱系障碍的诊断以及治疗第一个月较差的药物依从性是脱离服务的显著预测因素。
结论
早期干预团队应关注与脱离治疗相关的因素，并密切监测有风险的患者以发现不依从的迹象。
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