KOBAK, KENNETH A — Department of Health and Human Services SBIR Phase II: 104

KOBAK, KENNETH A — SBIR Phase II award from Department of Health and Human Services.

Amount
$1,666,468
Agency
Department of Health and Human Services · National Institutes of Health
Program / Phase
SBIR · Phase II
Topic
104
Solicitation
PA11-133
NAICS
Place of performance
WI
Period
2014-05-01 → 2018-04-30

Description

DESCRIPTION provided by applicant This Phase II SBIR grant is a follow up to the Phase I SBIR grant andquot Computerized Screening for Comorbidity in Adolescents with Substance or Psychiatric Disorders andquot During Phase I parent and adolescent self administered computerized versions of the psychiatric interview the Kiddie Schedule for Affective Disorders and Schizophrenia KSADS were developed to assess DSM IVR diagnoses in adolescents Since the funding of the Phase I grant there have been two significant developments in the field the American Psychiatric Associationandapos s release of the DSM manual and NIMHandapos s launch of the Research Domain Criteria RDoC initiative that aims to create the necessary database to derive a new psychiatric nomenclature informed by neuroscience genetics and psychology The primary goals of Phase II include Update the parent and adolescent self administered computerized KSADS KSADS COMP so it is compatible with DSM criteria Develop software for a clinician administered computerized KSADS KSADS COMP Create a K SADS Bridge product that includes a battery of RDoC computerized neurocognitive tasks that can be completed with the self or clinician administered KSADS COMP and Examine the criterion convergent and discriminant validity of the self administered KSADS COMP and the relationship among DSM diagnoses dimensional measures of psychopathology and performance on RDoC neurocognitive tasks Ultimately the aim of this initiative is to create an instrument that in addition to providing a reliable comprehensive assessment tool for psychiatric disorders in adolescents can bridge DSM and RDoC diagnostic perspectives A sample of adolescents and their parents will be recruited for this study half will complete the self administered KSADS COMP the other half will complete the clinician administered KSADS COMP All adolescents and their parents in addition to completing one of the KSADS COMP versions will also complete a battery of dimensional symptom rating scales A subset of adolescents and their parents will then complete the other version of the KSADS COMP to test diagnostic concordance between the self and clinician administered KSADS COMP To obtain reliable Kappa estimates this subset will include adolescents with no psychopathology and adolescents that meet criteria for each of the following diagnoses conduct disorder major depression bipolar substance use disorders posttraumatic stress disorder and attention deficit hyperactivity disorder This subset of adolescents will also be administered the RDoC battery of neurocognitive computerized tasks The KSADS COMP and KSADS Bridge assessment tools will have multiple clinical and research applications In addition to helping identify comorbidity in teens with substance or psychiatric disorders it will help to create the cross talk needed between the DSM and RDoC diagnostic perspectives and will help to improve clinical care in the short and long run as the field aims to transition to a ew psychiatric nomenclature PUBLIC HEALTH RELEVANCE The KSADS COMP will facilitate identification of comorbid psychiatric and substance use diagnoses frequently missed in clinical practice and improve adolescent treatment outcomes The self administered version of the KSADS COMP can also be used cost effectively in schools and juvenile justice settings where there is a growing interest in early identification and referral of youth in need of mental health services The KSADS Bridge assessment tool with its RDoC neurocognitive tasks when completed with the self or clinician administered KSADS COMP will help to create cross talk between the DSM and RDoC diagnostic perspectives and begin to generate a database on the relationship between RDoC constructs and treatment outcomes across a range of diagnostic categories