Effectiveness of Information Technology Aided Relapse Prevention Programme in Schizophrenia excluding the effect of user adherence: a randomized controlled trial.

Schizophrenia Research(2013)

引用 29|浏览11
暂无评分
摘要
Background: A relapse prevention program called the Information Technology Aided Relapse Prevention Programme in Schizophrenia (ITAREPS) has been developed and is reported to be highly effective. However the effectiveness was influenced by user adherence to the protocol of the program, the exact effectiveness and the role of the ITAREPS have been partially uncertain. Objective: The purpose of this study is to evaluate the effectiveness of the ITAREPS excluding the effect of user adherence to the protocol of the program. Method: We attempted to perform a randomized controlled trial by the devised method with visiting nurse service. Outpatients with schizophrenia were randomized to the ITAREPS (n = 22) or control group (n = 23) and were observed for 12 months. Results: The risk of rehospitalization was reduced in the ITAREPS group (2 [9.1%]) compared with the control group (8 [34.8%]) (hazard ratio = 0.21, 95% CI 0.04-0.99, p = 0.049; number needed to treat (NNT) = 4, 95% CI 2.1-35.5). The mean number of inpatient days was significantly lower in the ITAREPS group (18.5 days) compared with the control group (88.8 days) (p = 0.036). The ratio of the number of rehospitalizations to that of relapses was significantly lower (p = 0.035) and the mean change in total BPRS scores at relapse from baseline was significantly less in the ITAREPS group (p = 0.019). Conclusions: The relapse prevention effectiveness of the ITAREPS was high, and we confirmed that the ITAREPS, i.e., detecting signs of relapse and increasing medication during the warning state, is an effective intervention during the early stages of relapse. (C) 2013 The Authors. Published by Elsevier B.V. All rights reserved.
更多
查看译文
关键词
Schizophrenia,Relapse prevention,Information technology,Visiting nurse,ITAREPS
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要