Screening for the ultra-high risk state in a youth mental health service

O’Donoghue, Brian; Rudhran, Vidyendaran; Kumar, Shakira; Bowtell, Meghan; Polari, Andrea; Mackinnon, Andrew; McGorry, Patrick D.; Nelson, Barnaby

doi:10.1016/j.schres.2018.06.045

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…We aimed to include as many adolescents as possible with a sensitivity not lower than 0.80 and an acceptable level of false positives. Since a false positive is not followed by an invasive procedure, but by an interview, we chose as moderate a specificity as permissible, eliminating false positives of those who scored ≥ the chosen cutoff score on the PQ-16 [30,37]. Crosstabs between the CAARMS outcome and the determined cutoffs of the PQ-16, YSR and CBCL were used to determine the proportions of true and false positives and negatives.…”

Section: Discussionmentioning

confidence: 99%

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Improving screening methods for psychosis in an adolescent help-seeking population using the Child Behavior Checklist (CBCL) and the Youth Self Report (YSR) versus the Prodromal Questionnaire -16 items version (PQ-16)

Jong

Boon

Gouw

et al. 2022

Child Adolesc Psychiatry Ment Health

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Background Screening methods for detecting Ultra High Risk status (UHR) or psychosis should be improved, especially in adolescent samples. We therefore tested whether the Child Behavior Checklist (CBCL) and the Youth Self Report (YSR) add value to the Prodromal Questionnaire-16 items version (PQ-16) for detecting UHR status or psychosis. Methods We included help-seeking adolescents who had completed the PQ-16, YSR, CBCL, and a Comprehensive Assessment of an At Risk Mental States (CAARMS) interview, and used independent samples t-tests and binary logistic regression analyses to determine the scales contributing to the prediction of UHR status or of having reached the psychosis threshold (PT). Cutoff scores were determined using ROC analyses. Results Our sample comprised 270 help-seeking adolescents (mean age 14.67; SD 1.56, range 12–17); 67.8% were girls and 66.3% were of Dutch origin. The Thought Problems syndrome scales of both the YSR and the CBCL best predicted UHR or PT, and had screening values comparable to the PQ-16. Other syndrome scales did not improve screening values. Although combining measures reduced the number of false negatives, it also increased the number of adolescents to be interviewed. The best choice was to combine the YSR Thought Problems scale and the PQ-16 as a first-step screener. Conclusions Combining measures improves the detection of UHR or PT in help-seeking adolescents. The Thought Problems subscales of the YSR and CBCL can both be used as a first-step screener in the detection of UHR and/or psychosis. Trial registration Permission was asked according to the rules of the Ethics Committee at Leiden. This study is registered as NL.44180.058.13

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Section: Discussionmentioning

confidence: 99%

“…The PQ-16 is used mainly in a two-step screening procedure with the Comprehensive Assessment of At Risk Mental States CAARMS; [26], an interview for determining a CAARMS classification of UHR or PT [23,27,28]. Although the PQ-16 has acceptable psychometrics in youth seeking help, its specificity rates need to be improved [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Improving screening methods for psychosis in an adolescent help-seeking population using the Child Behavior Checklist (CBCL) and the Youth Self Report (YSR) versus the Prodromal Questionnaire -16 items version (PQ-16)

Jong

Boon

Gouw

et al. 2022

Child Adolesc Psychiatry Ment Health

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Prevalence of subthreshold positive symptoms in young people without psychotic disorders presenting to a youth mental health service

Seiler

Maguire

Nguyen

et al. 2020

Schizophrenia Research

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The need for early intervention for psychosis to persist throughout the COVID-19 pandemic and beyond

O’Donoghue

O’Connor

Thompson

et al. 2020

Ir. j. psychol. Med.

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In the last three decades, Early Intervention for psychosis services have been established worldwide and have resulted in superior symptomatic and functional outcomes for people affected by psychotic disorders. These improved outcomes are a result of reducing delays to treatment and the provision of specialized, holistic interventions. The covid-19 pandemic poses significant challenges to the delivery of these services, such as undetected cases or long delays to treatment. Furthermore, the covid-19 pandemic will likely increase the mental health needs of communities, including the incidence of psychotic disorders. In this perspective piece, we provide suggestions as to how early intervention for psychosis services can adapt within this environment, such as utilizing novel technologies. Finally, we argue that despite the economic consequences of the pandemic, the funding for mental health services, including early intervention services, should be increased in line with the need for these services during and beyond the pandemic.

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Screening for the ultra-high risk state in a youth mental health service

Cited by 5 publications

References 8 publications

Improving screening methods for psychosis in an adolescent help-seeking population using the Child Behavior Checklist (CBCL) and the Youth Self Report (YSR) versus the Prodromal Questionnaire -16 items version (PQ-16)

Improving screening methods for psychosis in an adolescent help-seeking population using the Child Behavior Checklist (CBCL) and the Youth Self Report (YSR) versus the Prodromal Questionnaire -16 items version (PQ-16)

Prevalence of subthreshold positive symptoms in young people without psychotic disorders presenting to a youth mental health service

The need for early intervention for psychosis to persist throughout the COVID-19 pandemic and beyond

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