SBIR/STTR Research Award

IRT-based Self-report Screener for Prodromal Schizophrenia and Early Psychosis

Award identifier 51ff95b24ea4d61d2a505af7a5bc28b7a2a8796adb33b9efe8db14adc1a4f223Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$262,705

Program and phase

SBIR · Phase I

Award year

2011

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Health Outcomes Inc
Proposal award date
Not reported
Contract end date
Not reported
UEI
KTVMENVNKJ37
Solicitation number
PA11-133
Topic code
NIMH

Research abstract

DESCRIPTION (provided by applicant): Schizophrenia is one of the most debilitating and costly mental illnesses in the United States, with peak incidence in individuals aged 14-25 and causing annual direct and indirect costs of over 62.7 billion (Wu et al., 2005). Several studies suggest that early identification and treatment can delay onset and decrease the severity of schizophrenia, leading to a significant reduction in the irreversible neuroanatomical changes and cognitive deficits often associated withthe onset of schizophrenia (McGlashan et al, 2006; Piontkewitz, et al, 2009; Simon et al., 2007). The critical barrier to advances in prodromal and early psychosis (PEP) research and treatment has been the identification of PEP individuals who are at riskof conversion to a psychotic disorder. Clinician-administered PEP screening assessments are time-consuming and costly, both in terms of required expertise and administration time (Lindenmayer et al, 2007). The proposed project will facilitate PEP screening and clinical research recruitment with the development of brief paper and computerized self-report PEP assessments that are appropriate for public sector mental health outpatients, 14-25 years of age. To accomplish this, we will utilize state-of-the artself- report item development methodology that is novel to PEP research, namely cognitive interviewing (CI) with 50 PEP outpatients as well as item response theory (IRT) analysis of responses from 1000 outpatients with varying levels of severity, includingno symptoms, PEP, and a psychotic disorder. These methods will reduce population-specific biases and increase measurement precision and thereby, predictive validity. We will establish the convergent and predictive validit of our assessments against the SIPS and 12-month SCID-based diagnostic outcomes, respectively, as well as the predictive validity of the PQ-92 against the same outcomes. Computerized versions of the new PEP screeners will permit rapid scoring, clinical and research report generation, andfollow-up with a computerized structured diagnostic assessment, the NetSCID, when integrated into our existing secure diagnostic Web portal. We have partnered with highly skilled consultants including three NIMH North American Prodrome Longitudinal Study (NAPLS) PIs, two PIs from the NIMH Recovery After an Initial Schizophrenia Episode (RAISE) clinical trial, a researcher representing the foremost ultra-high risk (UHR) research center outside the U.S., and a quantitative expert in IRT. This project is likely to have a substantial impact on the identification and treatment of PEP. It will facilitate PEP research by increasing the predictive validity of self-report screening thereby improving clinical trial recruitment. Routine screening of outpatients with our instruments may enable a greater number of PEP individuals to gain access to NAPLS-validated interventions, which may delay or prevent onset of a psychotic disorder; thereby serving to improve the lives of people suffering from psychosis and their families; prominent components of NIMH's overall mission. PUBLIC HEALTH RELEVANCE: Once developed, the proposed prodromal and early psychosis (PEP) assessments (the PEPS and PEPSS) will give researchers and clinicians the potential to use a multidimensional self-report instrument to identify individuals at risk of converting to a psychotic disorder; thereby, facilitating screening and clinical research recruitment of PEP outpatients who may benefit from further evaluation and possible inclusion in a validated PEP treatment intervention. As such, this project is likely to have a substantial impact on the identification, treatment, and possible prevention of psychosis as well as the lives of individuals at-risk for and suffering from psychotic disorders andtheir families; two prominent components of NIMH's overall mission.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

23 SBIR/STTR records share this UEI (2000–2022). Reported award amounts total $11,589,507. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.