SBIR/STTR Research Award

Development of a Multi-State Pediatric Outcome Model

Award identifier e1d708caa5455930abadfe8f878b037c2583fecb0cb1c10f92a29885d70e87d2Awarding agency Department of Health and Human Services

Award amount

$79,000

Program and phase

SBIR · Phase I

Award year

1994

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Award details

Awarding agency
Department of Health and Human Services
Branch
Not reported
Recipient company
Critical Care Analytics, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

We will develop a multi-level risk estimation of outcome states from pediatric intensive careincorporating poor functional/adaptive survival state(s) as well as death. This severity of illness methodwill be an important advance over survival/death predictors and will enhance quantitative qualityassurance studies, risk adjustment, cost evaluations, and individuals' decision-making. This study willinvolve pediatric ICU to estimate the multi-state outcome predictor using poly-logistic regression analysis.Predictor variables will include physiologic variables, pre-admission location, operative status, principlediagnosis categorizations, disease stage, age, computed tomography (CT) severity classification andbaseline functional status. Survival categories will be determined using the Vineland Adaptive BehaviorScale (VABS). The Phase I primary aim is to develop a scale and evaluate quicker and more convenientmeasures of functional status than the VABS. Such a simplified tool will facilitate performance of thePhase II study and the acceptance of the resulting model. The appropriate indications and/or screeningtests will be chosen by pediatricians, intensivists, and developmentalist. Statistical comparison will bedone to evaluate inter-rater reliability and consistency. Phase I will also develop a manual for thecollectors of this information in Phase II, and design Phase II, including the statistical methodology.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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