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Improving the Detection of Individuals at Clinical Risk for Psychosis in the Community, Primary and Secondary Care: An Integrated Evidence-Based Approach

Abstract:
Background: The first rate-limiting step for improving outcomes of psychosis through preventive interventions in people at clinical high risk for psychosis (CHR-P) is the ability to accurately detect individuals who are at risk for the development of this disorder. Currently, this detection power is sub-optimal. Methods: This is a conceptual and nonsystematic review of the literature, focusing on the work conducted by leading research teams in the field. The results will be structured in the following sections: understanding the CHR-P assessment, validity of the CHR-P as a universal risk state for psychosis, and improving the detection of at-risk individuals in secondary mental health care, in primary care, and in the community. Results: CHR-P instruments can provide adequate prognostic accuracy for the prediction of psychosis provided that they are employed in samples who have undergone risk enrichment during recruitment. This substantially limits their detection power in real-world settings. Furthermore, there is initial evidence that not all cases of psychosis onset are preceded by a CHR-P stage. A transdiagnostic individualized risk calculator could be used to automatically screen secondary mental health care medical notes to detect those at risk of psychosis and refer them to standard CHR-P assessment. Similar risk estimation tools for use in primary care are under development and promise to boost the detection of patients at risk in this setting. To improve the detection of young people who may be at risk of psychosis in the community, it is necessary to adopt digital and/or sequential screening approaches. These solutions are based on recent scientific evidence and have potential for implementation internationally. Conclusions: The best strategy to improve the detection of patients at risk for psychosis is to implement a clinical research program that integrates different but complementary detection approaches across community, primary, and secondary care. These solutions are based on recent scientific advancements in the development of risk estimation tools and e-health approaches and have the potential to be applied across different clinical settings.
Author Listing: Paolo Fusar-Poli;Sarah A. Sullivan;Jai L. Shah;Peter J. Uhlhaas
Volume: 10
Pages: None
DOI: 10.3389/fpsyt.2019.00774
Language: English
Journal: Frontiers in Psychiatry

Frontiers in Psychiatry

FRONT PSYCHIATRY

影响因子:3.2
是否综述期刊:否
是否OA:是
是否预警:不在预警名单内
发行时间:-
ISSN:1664-0640
发刊频率:-
收录数据库:SCIE/Scopus收录/DOAJ开放期刊
出版国家/地区:UNITED STATES
出版社:Frontiers Media S.A.

期刊介绍

Frontiers in Psychiatry publishes rigorously peer-reviewed research across a wide spectrum of translational, basic and clinical research. Field Chief Editor Stefan Borgwardt at the University of Basel is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.The journal's mission is to use translational approaches to improve therapeutic options for mental illness and consequently to improve patient treatment outcomes.

《精神病学前沿》杂志发表了广泛的转化、基础和临床研究领域的严格同行评审研究。巴塞尔大学的领域主编Stefan Borgwardt得到了由国际研究人员组成的杰出编辑委员会的支持。这是一本多学科开放获取期刊,在向世界各地的研究人员、学者、临床医生和公众传播和交流科学知识和有影响力的发现方面处于最前沿。该期刊的使命是利用转化方法改善精神疾病的治疗选择,从而改善患者的治疗结果。

年发文量 1835
国人发稿量 554
国人发文占比 30.19%
自引率 6.2%
平均录取率 -
平均审稿周期 14 Weeks
版面费 US$2950
偏重研究方向 Medicine-Psychiatry and Mental Health
期刊官网 https://www.frontiersin.org/journals/psychiatry
投稿链接 https://www.frontiersin.org/submission/SubmissionHome.aspx?domainId=2&fieldId=68&specialtyId=0&entityType=1&entityId=71

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
87.41% 99.57% 0.00% 1.44%

相关指数

影响因子
影响因子
年发文量
自引率
Cite Score

预警情况

时间 预警情况
2025年03月发布的2025版 不在预警名单中
2024年02月发布的2024版 不在预警名单中
2023年01月发布的2023版 不在预警名单中
2021年12月发布的2021版 不在预警名单中
2020年12月发布的2020版 不在预警名单中

JCR分区 WOS分区等级:Q2区

版本 按学科 分区
WOS期刊SCI分区
(2021-2022年最新版)
PSYCHIATRY Q2

中科院分区

版本 大类学科 小类学科 Top期刊 综述期刊
医学
3区
PSYCHIATRY
精神病学
3区
2021年12月
基础版
医学
3区
PSYCHIATRY
精神病学
3区
2021年12月
升级版
医学
3区
PSYCHIATRY
精神病学
3区
2020年12月
旧的升级版
医学
3区
PSYCHIATRY
精神病学
3区
2022年12月
最新升级版
医学
3区
PSYCHIATRY
精神病学
3区