Web-based phenotyping for Tourette Syndrome: Reliability of common co-morbid diagnoses

Sabrina M. Darrow; Cornelia Illmann; Caitlin Gauvin; Lisa Osiecki; Crystelle A. Egan; Erica Greenberg; Monika Eckfield; Matthew E. Hirschtritt; David L. Pauls; James R. Batterson; Cheston M. Berlin; Irene A. Malaty; Douglas W. Woods; Jeremiah M. Scharf; Carol A. Mathews

doi:10.1016/j.psychres.2015.05.017

Web-based phenotyping for Tourette Syndrome: Reliability of common co-morbid diagnoses

Sabrina M. Darrow, Cornelia Illmann, Caitlin Gauvin, Lisa Osiecki, Crystelle A. Egan, Erica Greenberg, Monika Eckfield, Matthew E. Hirschtritt, David L. Pauls, James R. Batterson, Cheston M. Berlin, Irene A. Malaty, Douglas W. Woods, Jeremiah M. Scharf, Carol A. Mathews

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

Collecting phenotypic data necessary for genetic analyses of neuropsychiatric disorders is time consuming and costly. Development of web-based phenotype assessments would greatly improve the efficiency and cost-effectiveness of genetic research. However, evaluating the reliability of this approach compared to standard, in-depth clinical interviews is essential. The current study replicates and extends a preliminary report on the utility of a web-based screen for Tourette Syndrome (TS) and common comorbid diagnoses (obsessive compulsive disorder (OCD) and attention deficit/hyperactivity disorder (ADHD)). A subset of individuals who completed a web-based phenotyping assessment for a TS genetic study was invited to participate in semi-structured diagnostic clinical interviews. The data from these interviews were used to determine participants' diagnostic status for TS, OCD, and ADHD using best estimate procedures, which then served as the gold standard to compare diagnoses assigned using web-based screen data. The results show high rates of agreement for TS. Kappas for OCD and ADHD diagnoses were also high and together demonstrate the utility of this self-report data in comparison previous diagnoses from clinicians and dimensional assessment methods.

Original language	English (US)
Pages (from-to)	816-825
Number of pages	10
Journal	Psychiatry Research
Volume	228
Issue number	3
DOIs	https://doi.org/10.1016/j.psychres.2015.05.017
State	Published - Aug 30 2015

All Science Journal Classification (ASJC) codes

Psychiatry and Mental health
Biological Psychiatry

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.psychres.2015.05.017

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Darrow, S. M., Illmann, C., Gauvin, C., Osiecki, L., Egan, C. A., Greenberg, E., Eckfield, M., Hirschtritt, M. E., Pauls, D. L., Batterson, J. R., Berlin, C. M., Malaty, I. A., Woods, D. W., Scharf, J. M., & Mathews, C. A. (2015). Web-based phenotyping for Tourette Syndrome: Reliability of common co-morbid diagnoses. Psychiatry Research, 228(3), 816-825. https://doi.org/10.1016/j.psychres.2015.05.017

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title = "Web-based phenotyping for Tourette Syndrome: Reliability of common co-morbid diagnoses",

abstract = "Collecting phenotypic data necessary for genetic analyses of neuropsychiatric disorders is time consuming and costly. Development of web-based phenotype assessments would greatly improve the efficiency and cost-effectiveness of genetic research. However, evaluating the reliability of this approach compared to standard, in-depth clinical interviews is essential. The current study replicates and extends a preliminary report on the utility of a web-based screen for Tourette Syndrome (TS) and common comorbid diagnoses (obsessive compulsive disorder (OCD) and attention deficit/hyperactivity disorder (ADHD)). A subset of individuals who completed a web-based phenotyping assessment for a TS genetic study was invited to participate in semi-structured diagnostic clinical interviews. The data from these interviews were used to determine participants' diagnostic status for TS, OCD, and ADHD using best estimate procedures, which then served as the gold standard to compare diagnoses assigned using web-based screen data. The results show high rates of agreement for TS. Kappas for OCD and ADHD diagnoses were also high and together demonstrate the utility of this self-report data in comparison previous diagnoses from clinicians and dimensional assessment methods.",

author = "Darrow, {Sabrina M.} and Cornelia Illmann and Caitlin Gauvin and Lisa Osiecki and Egan, {Crystelle A.} and Erica Greenberg and Monika Eckfield and Hirschtritt, {Matthew E.} and Pauls, {David L.} and Batterson, {James R.} and Berlin, {Cheston M.} and Malaty, {Irene A.} and Woods, {Douglas W.} and Scharf, {Jeremiah M.} and Mathews, {Carol A.}",

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Darrow, SM, Illmann, C, Gauvin, C, Osiecki, L, Egan, CA, Greenberg, E, Eckfield, M, Hirschtritt, ME, Pauls, DL, Batterson, JR, Berlin, CM, Malaty, IA, Woods, DW, Scharf, JM & Mathews, CA 2015, 'Web-based phenotyping for Tourette Syndrome: Reliability of common co-morbid diagnoses', Psychiatry Research, vol. 228, no. 3, pp. 816-825. https://doi.org/10.1016/j.psychres.2015.05.017

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T2 - Reliability of common co-morbid diagnoses

AU - Darrow, Sabrina M.

AU - Illmann, Cornelia

AU - Gauvin, Caitlin

AU - Osiecki, Lisa

AU - Egan, Crystelle A.

AU - Greenberg, Erica

AU - Eckfield, Monika

AU - Hirschtritt, Matthew E.

AU - Pauls, David L.

AU - Batterson, James R.

AU - Berlin, Cheston M.

AU - Malaty, Irene A.

AU - Woods, Douglas W.

AU - Scharf, Jeremiah M.

AU - Mathews, Carol A.

PY - 2015/8/30

Y1 - 2015/8/30

N2 - Collecting phenotypic data necessary for genetic analyses of neuropsychiatric disorders is time consuming and costly. Development of web-based phenotype assessments would greatly improve the efficiency and cost-effectiveness of genetic research. However, evaluating the reliability of this approach compared to standard, in-depth clinical interviews is essential. The current study replicates and extends a preliminary report on the utility of a web-based screen for Tourette Syndrome (TS) and common comorbid diagnoses (obsessive compulsive disorder (OCD) and attention deficit/hyperactivity disorder (ADHD)). A subset of individuals who completed a web-based phenotyping assessment for a TS genetic study was invited to participate in semi-structured diagnostic clinical interviews. The data from these interviews were used to determine participants' diagnostic status for TS, OCD, and ADHD using best estimate procedures, which then served as the gold standard to compare diagnoses assigned using web-based screen data. The results show high rates of agreement for TS. Kappas for OCD and ADHD diagnoses were also high and together demonstrate the utility of this self-report data in comparison previous diagnoses from clinicians and dimensional assessment methods.

AB - Collecting phenotypic data necessary for genetic analyses of neuropsychiatric disorders is time consuming and costly. Development of web-based phenotype assessments would greatly improve the efficiency and cost-effectiveness of genetic research. However, evaluating the reliability of this approach compared to standard, in-depth clinical interviews is essential. The current study replicates and extends a preliminary report on the utility of a web-based screen for Tourette Syndrome (TS) and common comorbid diagnoses (obsessive compulsive disorder (OCD) and attention deficit/hyperactivity disorder (ADHD)). A subset of individuals who completed a web-based phenotyping assessment for a TS genetic study was invited to participate in semi-structured diagnostic clinical interviews. The data from these interviews were used to determine participants' diagnostic status for TS, OCD, and ADHD using best estimate procedures, which then served as the gold standard to compare diagnoses assigned using web-based screen data. The results show high rates of agreement for TS. Kappas for OCD and ADHD diagnoses were also high and together demonstrate the utility of this self-report data in comparison previous diagnoses from clinicians and dimensional assessment methods.

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Web-based phenotyping for Tourette Syndrome: Reliability of common co-morbid diagnoses

Abstract

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