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  • Raiker et al (2017) Accuracy of Achenbach Scales in the Screening of Attention-Deficit Hyperactivity

    Rights statement: This is the author’s version of a work that was accepted for publication in Journal of the American Academy of Child & Adolescent Psychiatry. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of the American Academy of Child & Adolescent Psychiatry, 56, 5, 2017 DOI: 10.1016/j.jaac.2017.02.007

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Accuracy of Achenbach Scales in the Screening of ADHD in a Community Mental Health Clinic

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Accuracy of Achenbach Scales in the Screening of ADHD in a Community Mental Health Clinic. / Raiker, J.S.; Freeman, A.J.; Perez Algorta, Guillermo Daniel et al.
In: Journal of the Amercian Academy of Child and Adolescent Psychiatry, Vol. 56, No. 5, 05.2017, p. 401-409.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Raiker, JS, Freeman, AJ, Perez Algorta, GD, Frazier, TW, Findling, RL & Youngstrom, EA 2017, 'Accuracy of Achenbach Scales in the Screening of ADHD in a Community Mental Health Clinic', Journal of the Amercian Academy of Child and Adolescent Psychiatry, vol. 56, no. 5, pp. 401-409. https://doi.org/10.1016/j.jaac.2017.02.007

APA

Raiker, J. S., Freeman, A. J., Perez Algorta, G. D., Frazier, T. W., Findling, R. L., & Youngstrom, E. A. (2017). Accuracy of Achenbach Scales in the Screening of ADHD in a Community Mental Health Clinic. Journal of the Amercian Academy of Child and Adolescent Psychiatry, 56(5), 401-409. https://doi.org/10.1016/j.jaac.2017.02.007

Vancouver

Raiker JS, Freeman AJ, Perez Algorta GD, Frazier TW, Findling RL, Youngstrom EA. Accuracy of Achenbach Scales in the Screening of ADHD in a Community Mental Health Clinic. Journal of the Amercian Academy of Child and Adolescent Psychiatry. 2017 May;56(5):401-409. Epub 2017 Mar 6. doi: 10.1016/j.jaac.2017.02.007

Author

Raiker, J.S. ; Freeman, A.J. ; Perez Algorta, Guillermo Daniel et al. / Accuracy of Achenbach Scales in the Screening of ADHD in a Community Mental Health Clinic. In: Journal of the Amercian Academy of Child and Adolescent Psychiatry. 2017 ; Vol. 56, No. 5. pp. 401-409.

Bibtex

@article{dde2b0a214534ea2bbd5b2606d9010c9,
title = "Accuracy of Achenbach Scales in the Screening of ADHD in a Community Mental Health Clinic",
abstract = "Objective To use receiver-operating characteristics analysis to identify multilevel diagnostic likelihood ratios and provide a framework for the diagnosis of attention-deficit/hyperactivity disorder (ADHD) in children (5–10 years old) and adolescents (11–18 years old) in an outpatient setting. Method Caregiver, teacher, and youth reports from the Achenbach System of Empirically Based Assessment (ASEBA) were obtained for 299 children and 321 adolescents with multiple imputation of missing data. The reference standard was diagnosis of ADHD based on case history and a semistructured diagnostic interview masked to the ASEBA measurements. Results In children, caregiver-reported Attention Problems (area under the curve [AUC] = 0.74) outperformed all other subscales of the caregiver and teacher measures (AUCs ≤ 0.72). In the older sample, caregiver- and teacher-reported Attention Problems (caregiver AUC = 0.73; teacher AUC = 0.61) were best at identifying ADHD. Inclusion of caregiver and teacher reports significantly (p < .001 for all comparisons) increased prediction of ADHD diagnosis, whereas youth self-report did not. Conclusion Caregiver-reported Attention Problems were more useful than teacher-reports and self-report in identifying ADHD. Combining caregiver and teacher reports improved identification. Multilevel likelihood ratios are provided to facilitate routine clinical use.",
keywords = "attention-deficit/hyperactivity disorder, sensitivity and specificity, likelihood ratios, receiver-operating characteristics curve",
author = "J.S. Raiker and A.J. Freeman and {Perez Algorta}, {Guillermo Daniel} and T.W. Frazier and R.L. Findling and E.A. Youngstrom",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Journal of the American Academy of Child & Adolescent Psychiatry. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of the American Academy of Child & Adolescent Psychiatry, 56, 5, 2017 DOI: 10.1016/j.jaac.2017.02.007",
year = "2017",
month = may,
doi = "10.1016/j.jaac.2017.02.007",
language = "English",
volume = "56",
pages = "401--409",
journal = "Journal of the Amercian Academy of Child and Adolescent Psychiatry",
issn = "0890-8567",
publisher = "Elsevier Limited",
number = "5",

}

RIS

TY - JOUR

T1 - Accuracy of Achenbach Scales in the Screening of ADHD in a Community Mental Health Clinic

AU - Raiker, J.S.

AU - Freeman, A.J.

AU - Perez Algorta, Guillermo Daniel

AU - Frazier, T.W.

AU - Findling, R.L.

AU - Youngstrom, E.A.

N1 - This is the author’s version of a work that was accepted for publication in Journal of the American Academy of Child & Adolescent Psychiatry. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of the American Academy of Child & Adolescent Psychiatry, 56, 5, 2017 DOI: 10.1016/j.jaac.2017.02.007

PY - 2017/5

Y1 - 2017/5

N2 - Objective To use receiver-operating characteristics analysis to identify multilevel diagnostic likelihood ratios and provide a framework for the diagnosis of attention-deficit/hyperactivity disorder (ADHD) in children (5–10 years old) and adolescents (11–18 years old) in an outpatient setting. Method Caregiver, teacher, and youth reports from the Achenbach System of Empirically Based Assessment (ASEBA) were obtained for 299 children and 321 adolescents with multiple imputation of missing data. The reference standard was diagnosis of ADHD based on case history and a semistructured diagnostic interview masked to the ASEBA measurements. Results In children, caregiver-reported Attention Problems (area under the curve [AUC] = 0.74) outperformed all other subscales of the caregiver and teacher measures (AUCs ≤ 0.72). In the older sample, caregiver- and teacher-reported Attention Problems (caregiver AUC = 0.73; teacher AUC = 0.61) were best at identifying ADHD. Inclusion of caregiver and teacher reports significantly (p < .001 for all comparisons) increased prediction of ADHD diagnosis, whereas youth self-report did not. Conclusion Caregiver-reported Attention Problems were more useful than teacher-reports and self-report in identifying ADHD. Combining caregiver and teacher reports improved identification. Multilevel likelihood ratios are provided to facilitate routine clinical use.

AB - Objective To use receiver-operating characteristics analysis to identify multilevel diagnostic likelihood ratios and provide a framework for the diagnosis of attention-deficit/hyperactivity disorder (ADHD) in children (5–10 years old) and adolescents (11–18 years old) in an outpatient setting. Method Caregiver, teacher, and youth reports from the Achenbach System of Empirically Based Assessment (ASEBA) were obtained for 299 children and 321 adolescents with multiple imputation of missing data. The reference standard was diagnosis of ADHD based on case history and a semistructured diagnostic interview masked to the ASEBA measurements. Results In children, caregiver-reported Attention Problems (area under the curve [AUC] = 0.74) outperformed all other subscales of the caregiver and teacher measures (AUCs ≤ 0.72). In the older sample, caregiver- and teacher-reported Attention Problems (caregiver AUC = 0.73; teacher AUC = 0.61) were best at identifying ADHD. Inclusion of caregiver and teacher reports significantly (p < .001 for all comparisons) increased prediction of ADHD diagnosis, whereas youth self-report did not. Conclusion Caregiver-reported Attention Problems were more useful than teacher-reports and self-report in identifying ADHD. Combining caregiver and teacher reports improved identification. Multilevel likelihood ratios are provided to facilitate routine clinical use.

KW - attention-deficit/hyperactivity disorder

KW - sensitivity and specificity

KW - likelihood ratios

KW - receiver-operating characteristics curve

U2 - 10.1016/j.jaac.2017.02.007

DO - 10.1016/j.jaac.2017.02.007

M3 - Journal article

VL - 56

SP - 401

EP - 409

JO - Journal of the Amercian Academy of Child and Adolescent Psychiatry

JF - Journal of the Amercian Academy of Child and Adolescent Psychiatry

SN - 0890-8567

IS - 5

ER -