A new Algorithm for Detecting Clinical High Risk of Psychosis in Adolescents

Background: The delimitation of the clinical high risk of psychosis (CHRp) is characterized by the wide variety of symptoms assessed from different approaches from the onset of psychosis. This study aimed to create a systematic procedure for an effective and accurate earlydetection of CHRp in educat...

Full description

Saved in:
Bibliographic Details
Published in:Psicothema 2022-01, Vol.34 (3), p.383-391
Main Authors: Paíno, Mercedes, González-Menéndez, Ana, Vallina-Fernández, Óscar, Rus-Calafell, Mar
Format: Article
Language:English
Subjects:
Algorithms
Psychosis
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 391
container_issue 3
container_start_page 383
container_title Psicothema
container_volume 34
creator Paíno, Mercedes
González-Menéndez, Ana
Vallina-Fernández, Óscar
Rus-Calafell, Mar
description Background: The delimitation of the clinical high risk of psychosis (CHRp) is characterized by the wide variety of symptoms assessed from different approaches from the onset of psychosis. This study aimed to create a systematic procedure for an effective and accurate earlydetection of CHRp in educational settings. Method: A representative sample of 1,824 adolescents (average age, 15.79; 53.8%, women) was used to develop an online assessment system and a new 3-track, 3-level algorithm that combines symptoms of the main risk approaches: ultra-high risk (UHR), basic symptoms (BS), and anomalies in the subjective self-experience (ASE) with functional deficit. Results: The acceptability and feasibility of the online screening system were confirmed by the data. Of the total participants, 68 (3.7%) were identified as high-risk and 417 (22.9%) were identified as moderate, which also supports the functionality of the proposed algorithm. Conclusions: The system indicates a dynamic model of progression of the different symptoms in the early stages of psychosis, and it may constitute a first line of identification for severe mental disorders in young people in the earliest stages, allowing application of initial preventive measures.
doi_str_mv 10.7334/psicothema2022.10
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2692755712</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2777043882</sourcerecordid><originalsourceid>FETCH-LOGICAL-c285t-87bcd7cf26bc3e6e3d2d46afd377da4c71139d9a522c0775363c737f3b5899763</originalsourceid><addsrcrecordid>eNpdkEtLAzEYRYMoWB8_wF3AjZupeUzyZZZDfVQoKKLgbkiTTCd1ZlKTKdJ_75S60dWFy-FyuAhdUTIFzvPbTfImDI3rNCOMTSk5QhOqlMxonn8cowlhNM-KgopTdJbSmhAhObAJWpS4d9-4bFch-qHpcB0ivnODM4PvV3jW-t4b3eK5XzX41adPHGr8knamCckn7Htc2tC6ZFw_pAt0Uus2ucvfPEfvD_dvs3m2eH58mpWLzDAlhkzB0lgwNZNLw5103DKbS11bDmB1boBSXthCC8YMARBccgMcar4UqihA8nN0c9jdxPC1dWmoOj8atK3uXdimismCgRBA2Yhe_0PXYRv70a5iAEByrtSeogfKxJBSdHW1ib7TcVdRUu3_rf7-O9b8B_V-b5c</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2777043882</pqid></control><display><type>article</type><title>A new Algorithm for Detecting Clinical High Risk of Psychosis in Adolescents</title><source>Publicly Available Content Database</source><creator>Paíno, Mercedes ; González-Menéndez, Ana ; Vallina-Fernández, Óscar ; Rus-Calafell, Mar</creator><creatorcontrib>Paíno, Mercedes ; González-Menéndez, Ana ; Vallina-Fernández, Óscar ; Rus-Calafell, Mar</creatorcontrib><description>Background: The delimitation of the clinical high risk of psychosis (CHRp) is characterized by the wide variety of symptoms assessed from different approaches from the onset of psychosis. This study aimed to create a systematic procedure for an effective and accurate earlydetection of CHRp in educational settings. Method: A representative sample of 1,824 adolescents (average age, 15.79; 53.8%, women) was used to develop an online assessment system and a new 3-track, 3-level algorithm that combines symptoms of the main risk approaches: ultra-high risk (UHR), basic symptoms (BS), and anomalies in the subjective self-experience (ASE) with functional deficit. Results: The acceptability and feasibility of the online screening system were confirmed by the data. Of the total participants, 68 (3.7%) were identified as high-risk and 417 (22.9%) were identified as moderate, which also supports the functionality of the proposed algorithm. Conclusions: The system indicates a dynamic model of progression of the different symptoms in the early stages of psychosis, and it may constitute a first line of identification for severe mental disorders in young people in the earliest stages, allowing application of initial preventive measures.</description><identifier>ISSN: 0214-9915</identifier><identifier>EISSN: 1886-144X</identifier><identifier>DOI: 10.7334/psicothema2022.10</identifier><language>eng</language><publisher>Oviedo: Colegio Oficial de Psicólogos (PSICODOC)</publisher><subject>Algorithms ; Psychosis</subject><ispartof>Psicothema, 2022-01, Vol.34 (3), p.383-391</ispartof><rights>2022. Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the associated terms available at https://www.psicothema.com/PublicationNorms2022.pdf</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2777043882/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2777043882?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,37013,44590,75126</link.rule.ids></links><search><creatorcontrib>Paíno, Mercedes</creatorcontrib><creatorcontrib>González-Menéndez, Ana</creatorcontrib><creatorcontrib>Vallina-Fernández, Óscar</creatorcontrib><creatorcontrib>Rus-Calafell, Mar</creatorcontrib><title>A new Algorithm for Detecting Clinical High Risk of Psychosis in Adolescents</title><title>Psicothema</title><description>Background: The delimitation of the clinical high risk of psychosis (CHRp) is characterized by the wide variety of symptoms assessed from different approaches from the onset of psychosis. This study aimed to create a systematic procedure for an effective and accurate earlydetection of CHRp in educational settings. Method: A representative sample of 1,824 adolescents (average age, 15.79; 53.8%, women) was used to develop an online assessment system and a new 3-track, 3-level algorithm that combines symptoms of the main risk approaches: ultra-high risk (UHR), basic symptoms (BS), and anomalies in the subjective self-experience (ASE) with functional deficit. Results: The acceptability and feasibility of the online screening system were confirmed by the data. Of the total participants, 68 (3.7%) were identified as high-risk and 417 (22.9%) were identified as moderate, which also supports the functionality of the proposed algorithm. Conclusions: The system indicates a dynamic model of progression of the different symptoms in the early stages of psychosis, and it may constitute a first line of identification for severe mental disorders in young people in the earliest stages, allowing application of initial preventive measures.</description><subject>Algorithms</subject><subject>Psychosis</subject><issn>0214-9915</issn><issn>1886-144X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdkEtLAzEYRYMoWB8_wF3AjZupeUzyZZZDfVQoKKLgbkiTTCd1ZlKTKdJ_75S60dWFy-FyuAhdUTIFzvPbTfImDI3rNCOMTSk5QhOqlMxonn8cowlhNM-KgopTdJbSmhAhObAJWpS4d9-4bFch-qHpcB0ivnODM4PvV3jW-t4b3eK5XzX41adPHGr8knamCckn7Htc2tC6ZFw_pAt0Uus2ucvfPEfvD_dvs3m2eH58mpWLzDAlhkzB0lgwNZNLw5103DKbS11bDmB1boBSXthCC8YMARBccgMcar4UqihA8nN0c9jdxPC1dWmoOj8atK3uXdimismCgRBA2Yhe_0PXYRv70a5iAEByrtSeogfKxJBSdHW1ib7TcVdRUu3_rf7-O9b8B_V-b5c</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Paíno, Mercedes</creator><creator>González-Menéndez, Ana</creator><creator>Vallina-Fernández, Óscar</creator><creator>Rus-Calafell, Mar</creator><general>Colegio Oficial de Psicólogos (PSICODOC)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20220101</creationdate><title>A new Algorithm for Detecting Clinical High Risk of Psychosis in Adolescents</title><author>Paíno, Mercedes ; González-Menéndez, Ana ; Vallina-Fernández, Óscar ; Rus-Calafell, Mar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c285t-87bcd7cf26bc3e6e3d2d46afd377da4c71139d9a522c0775363c737f3b5899763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Psychosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Paíno, Mercedes</creatorcontrib><creatorcontrib>González-Menéndez, Ana</creatorcontrib><creatorcontrib>Vallina-Fernández, Óscar</creatorcontrib><creatorcontrib>Rus-Calafell, Mar</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Psicothema</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Paíno, Mercedes</au><au>González-Menéndez, Ana</au><au>Vallina-Fernández, Óscar</au><au>Rus-Calafell, Mar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new Algorithm for Detecting Clinical High Risk of Psychosis in Adolescents</atitle><jtitle>Psicothema</jtitle><date>2022-01-01</date><risdate>2022</risdate><volume>34</volume><issue>3</issue><spage>383</spage><epage>391</epage><pages>383-391</pages><issn>0214-9915</issn><eissn>1886-144X</eissn><abstract>Background: The delimitation of the clinical high risk of psychosis (CHRp) is characterized by the wide variety of symptoms assessed from different approaches from the onset of psychosis. This study aimed to create a systematic procedure for an effective and accurate earlydetection of CHRp in educational settings. Method: A representative sample of 1,824 adolescents (average age, 15.79; 53.8%, women) was used to develop an online assessment system and a new 3-track, 3-level algorithm that combines symptoms of the main risk approaches: ultra-high risk (UHR), basic symptoms (BS), and anomalies in the subjective self-experience (ASE) with functional deficit. Results: The acceptability and feasibility of the online screening system were confirmed by the data. Of the total participants, 68 (3.7%) were identified as high-risk and 417 (22.9%) were identified as moderate, which also supports the functionality of the proposed algorithm. Conclusions: The system indicates a dynamic model of progression of the different symptoms in the early stages of psychosis, and it may constitute a first line of identification for severe mental disorders in young people in the earliest stages, allowing application of initial preventive measures.</abstract><cop>Oviedo</cop><pub>Colegio Oficial de Psicólogos (PSICODOC)</pub><doi>10.7334/psicothema2022.10</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0214-9915
ispartof Psicothema, 2022-01, Vol.34 (3), p.383-391
issn 0214-9915
1886-144X
language eng
recordid cdi_proquest_miscellaneous_2692755712
source Publicly Available Content Database
subjects Algorithms
Psychosis
title A new Algorithm for Detecting Clinical High Risk of Psychosis in Adolescents
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T02%3A38%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20new%20Algorithm%20for%20Detecting%20Clinical%20High%20Risk%20of%20Psychosis%20in%20Adolescents&rft.jtitle=Psicothema&rft.au=Pa%C3%ADno,%20Mercedes&rft.date=2022-01-01&rft.volume=34&rft.issue=3&rft.spage=383&rft.epage=391&rft.pages=383-391&rft.issn=0214-9915&rft.eissn=1886-144X&rft_id=info:doi/10.7334/psicothema2022.10&rft_dat=%3Cproquest_cross%3E2777043882%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c285t-87bcd7cf26bc3e6e3d2d46afd377da4c71139d9a522c0775363c737f3b5899763%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2777043882&rft_id=info:pmid/&rfr_iscdi=true