Longitudinal validation of psychosis risk screening tools

Kline, Emily; Thompson, Elizabeth; Demro, Caroline; Bussell, Kristin; Reeves, Gloria; Schiffman, Jason

doi:10.1016/j.schres.2015.04.026

Cited by 49 publications

(41 citation statements)

References 31 publications

(30 reference statements)

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“…Previous studies showed that YPARQ-B is a good measure for screening CHR states and demonstrated adequate levels of predictive validity in adolescents and young adults at CHR for psychosis as well as convergence with other psychosis screening measures (e.g. SIPS, PQ), as well as good reliability coefficients (Kline & Schiffman, 2014;Kline et al, 2012aKline et al, , 2012bKline et al, , 2015Myles-Worsley et al, 2007;Ord et al, 2004). This empirical evidence suggests that this tool could be useful for more comprehensive identifying and recruiting strategies of individuals at CHR as The results showed that subclinical psychotic experiences are common in non-clinical samples of adolescents.…”

Section: Discussionmentioning

confidence: 99%

“…SIPS, PQ), as well as good reliability coefficients (Kline & Schiffman, ; Kline et al, , , ; Myles‐Worsley et al, ; Ord et al, ). This empirical evidence suggests that this tool could be useful for more comprehensive identifying and recruiting strategies of individuals at CHR (Kline et al, ) as well as to expand its use to the non‐clinical population, such as educational and primary care settings, where a required specialized training (i.e. costs, time) is not possible.…”

Section: Discussionmentioning

confidence: 99%

“…In another study, Kline et al . (), using the threshold of ≥13 found a sensitivity of 1.00, specificity of 0.80, PPV of 0.29, negative predictive value (NPV) of 1.00, and accuracy of 81%.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies conducted showed that YPARQ‐B is a good measure to screen CHR symptoms and sublinical psychotic experiences in adolescents as well as young adults. The scores of this tool have demonstrated good internal consistency coefficients and temporal stability as well as adequate levels of sensitivity and specificity (Bedwell & Donnelly, ; Kline et al, 2014; Kline et al, ; Kline et al, , ; Lee, Cho, Cho, Jang, & Kim, ). Furthermore, this tool has shown good correspondence with the most recognized interviews, such as the Structured Interview for Psychosis Risk Syndromes (SIPS) (Miller et al, ) and other psychosis risk screening measures.…”

Section: Introductionmentioning

confidence: 99%

“…However, the within-sample optimized threshold was slightly higher (≥ 13) and yielded sensitivity of 0.65, specificity of 0.90, and positive predictive value (PPV) of 0.81. In another study, Kline et al (2015), using the threshold of ≥13 found a sensitivity of 1.00, specificity of 0.80, PPV of 0.29, negative predictive value (NPV) of 1.00, and accuracy of 81%.…”

mentioning

confidence: 96%

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Psychosis risk screening: Validation of the youth psychosis at‐risk questionnaire – brief in a community‐derived sample of adolescents

Fonseca‐Pedrero

Ortuño‐Sierra

Chocarro

et al. 2016

Int J Methods Psych Res

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There have been several attempts to identify individuals potentially at high risk for psychotic-spectrum disorders using brief screening measures. However, relatively few studies have tested the psychometric properties of the psychosis screening measures in representative samples of adolescents. The main purpose of the present study was to analyse the prevalence, factorial structure, measurement invariance across gender, and reliability of the Youth Psychosis At-Risk Questionnaire - Brief (YPARQ-B) in a community-derived sample of adolescents. Additionally, the relationship between YPARQ-B, depressive symptoms, psychopathology, stress manifestations, and prosocial skills was analysed. One thousand and twenty students from high schools participated in a cross-sectional survey. The YPARQ-B, the Reynolds Adolescent Depression Scale, the Strengths and Difficulties Questionnaire, and the Student Stress Inventory - Stress Manifestations were used. A total of 85.1% of the total sample self-reported at least one subclinical psychotic experience. We observed a total of 10.9% of adolescents with a cutoff score of ≥11 or 6.8% with a cutoff score of ≥13. The analysis of internal structure of the YPARQ-B yielded an essentially unidimensional structure. The YPARQ-B scores showed measurement invariance across gender. The internal consistency of the YPARQ-B total score was 0.94. Furthermore, self-reported subclinical psychotic experiences were associated with depressive symptoms, emotional and behavioural problems, poor prosocial skills, and stress manifestations. These results would appear to indicate that YPARQ-B is a brief and easy tool to assess self-reported subclinical psychotic experiences in adolescents from the general population. The assessment of these experiences in community settings, and its associations with psychopathology, may help us to enhance the possibility of an early identification of adolescents potentially at risk for psychosis and mental health problems.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 96%

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Psychosis risk screening: Validation of the youth psychosis at‐risk questionnaire – brief in a community‐derived sample of adolescents

Fonseca‐Pedrero

Ortuño‐Sierra

Chocarro

et al. 2016

Int J Methods Psych Res

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Validation of the Prodromal Questionnaire–Brief in a representative sample of adolescents: Internal structure, norms, reliability, and links with psychopathology

Fonseca‐Pedrero

Inchausti

Pérez‐Albéniz

et al. 2018

Int J Methods Psych Res

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Persistence of psychosis spectrum symptoms in the Philadelphia Neurodevelopmental Cohort: a prospective two‐year follow‐up

et al. 2017

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Prospective evaluation of youths with early psychotic-like experiences can enrich our knowledge of clinical, biobehavioral and environmental risk and protective factors associated with the development of psychotic disorders. We aimed to investigate the predictors of persistence or worsening of psychosis spectrum features among US youth through the first large systematic study to evaluate subclinical symptoms in the community. Based on Time 1 screen of 9,498 youth (age 8-21) from the Philadelphia Neurodevelopmental Cohort, a subsample of participants was enrolled based on the presence (N5249) or absence (N5254) of baseline psychosis spectrum symptoms, prior participation in neuroimaging, and current neuroimaging eligibility. They were invited to participate in a Time 2 assessment two years on average following Time 1. Participants were administered the Structured Interview for Prodromal Syndromes, conducted blind to initial screen status, along with the Schizotypal Personality Questionnaire and other clinical measures, computerized neurocognitive testing, and neuroimaging. Clinical and demographic predictors of symptom persistence were examined using logistic regression. At Time 2, psychosis spectrum features persisted or worsened in 51.4% of youths. Symptom persistence was predicted by higher severity of subclinical psychosis, lower global functioning, and prior psychiatric medication at baseline. Youths classified as having psychosis spectrum symptoms at baseline but not at follow-up nonetheless exhibited comparatively higher symptom levels and lower functioning at both baseline and follow-up than typically developing youths. In addition, psychosis spectrum features emerged in a small number of young people who previously had not reported significant symptoms but who had exhibited early clinical warning signs. Together, our findings indicate that varying courses of psychosis spectrum symptoms are evident early in US youth, supporting the importance of investigating psychosis risk as a dynamic developmental process. Neurocognition, brain structure and function, and genomics may be integrated with clinical data to provide early indices of symptom persistence and worsening in youths at risk for psychosis.

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Longitudinal validation of psychosis risk screening tools

Cited by 49 publications

References 31 publications

Psychosis risk screening: Validation of the youth psychosis at‐risk questionnaire – brief in a community‐derived sample of adolescents

Psychosis risk screening: Validation of the youth psychosis at‐risk questionnaire – brief in a community‐derived sample of adolescents

Validation of the Prodromal Questionnaire–Brief in a representative sample of adolescents: Internal structure, norms, reliability, and links with psychopathology

Persistence of psychosis spectrum symptoms in the Philadelphia Neurodevelopmental Cohort: a prospective two‐year follow‐up

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