Department of Psychiatry, Kwai Chung Hospital, Kowloon, Hong Kong.
Department of Psychiatry, The University of Hong Kong, Pok Fu Lam, Hong Kong.
Early Interv Psychiatry. 2019 Jun;13(3):398-404. doi: 10.1111/eip.12491. Epub 2017 Oct 6.
This study aims at assessing the rate and predictors of disengagement of patients with first-episode psychosis (FEP) from the early intervention (EI) service in Hong Kong (EASY) that covers age 15 to 64.
All FEP patients aged 15 to 64 years who were newly registered with the EASY programme of Kowloon West Psychiatric Unit from January to December 2012 were included. Data on socio-demographic, clinical characteristics and disengagement over 3 years of the EI service were obtained retrospectively through systematic clinical record review. Predictors of 3 different types of disengagement and their rate of occurrence were identified: complete disengagement (type I), disengaged and re-engaged through hospitalization (type II) and re-engaged as outpatient (type III).
Among the 277 patients included for analysis, 36 patients (13%) had type I disengagement, 17.2% (N = 21) were of age 15 to 25 and 9.7% (N = 15) were of age 25 to 64. Type II and type III disengagements were 4.3% and 13.4%, respectively. Early-stage poor drug compliance significantly predicted type I and type II disengagements. History of substance use, suicidal attempts and poor drug compliance predicted type III disengagement. Younger patients had significant earlier disengagement (χ = 5.01, df = 1, P = .025).
Results of the current study highlighted the different patterns of disengagement for different age groups and the importance of identifying the high-risk group at early stage of the illness. With the expansion of EI service for wider age group, studies of the differential needs of patient with different ages would be important to guide the future service development.
本研究旨在评估香港 15 至 64 岁的早期干预服务(EASY)中首发精神病(FEP)患者脱离服务的比例及其预测因素。
所有于 2012 年 1 月至 12 月在九龙西精神病科单位的 EASY 计划新登记的 15 至 64 岁 FEP 患者均被纳入研究。通过系统的临床记录回顾,回顾性地获取了 3 年内社会人口统计学、临床特征和脱离 EI 服务的数据。确定了 3 种不同类型的脱离及其发生率的预测因素:完全脱离(I 型)、因住院而脱离和重新接受治疗(II 型)以及作为门诊患者重新接受治疗(III 型)。
在纳入分析的 277 例患者中,36 例(13%)患者出现 I 型脱离,17.2%(N=21)年龄在 15 至 25 岁之间,9.7%(N=15)年龄在 25 至 64 岁之间。II 型和 III 型脱离分别为 4.3%和 13.4%。早期药物依从性差显著预测了 I 型和 II 型脱离。物质使用史、自杀企图和药物依从性差预测了 III 型脱离。年轻患者的脱离时间明显更早(χ²=5.01,df=1,P=0.025)。
本研究结果突出了不同年龄组脱离的不同模式,以及在疾病早期识别高危人群的重要性。随着 EI 服务向更广泛的年龄组扩展,研究不同年龄患者的不同需求对于指导未来的服务发展非常重要。