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Awarded Grant - Acute Care

Health-related Quality of Life in Trauma: A Supplement to NSCOT

FOA Number: CE99-036: Extramural Grants for Trauma Care Systems Evaluation
Project Period: 09/30/99–09/29/04
Application/Grant Number: 1-R49-CE316840-04
Principal Investigator: Ellen J. MacKenzie, PhD
The Johns Hopkins University
Bloomberg School of Public Health
Health Policy and Management
624 N. Broadway
Hampton House Room 554
Baltimore, MD 21205
Phone: 410-614-4025
Fax: 410-614-2797
E-mail: emackenz@jhsph.edu

Description

Increasingly, generic health status measures are being used to quantify the non-economic burden of illness and injury and to measure the impact of interventions at both clinical and policy levels. But most of these generic measures are undefined for people who die. This study will examine two approaches for incorporating deaths into an analysis of trauma outcomes and will use these approaches for estimating the burden of injury in years of healthy life lost (YHLL). The first approach uses measures that incorporate a value for death together with preference-based assessments of health. The second approach transforms well-known, non-preference-based descriptive measures of health into probabilities that a person will be "healthy" in the future. The study will supplement the ongoing National Study on the Costs and Outcomes of Trauma Care (NSCOT).

The aims of the study follow:

  1. Develop methods for transforming non-preference-based measures of health status (e.g., EVGGFP, ADL/IADL, SF-36) into new measures that include a defensible value for death;
  2. Examine the distributional properties and validity of the measures developed together with published preference-based measures of function and quality of life that can be derived from the NSCOT study, to include the SF-6D, the Health and Activity Limitations Score (HALEX score), the Functional Capacity Index (FCI), and modified versions of both the HUI-3 and the EQ 5-D;
  3. Combine information on the incidence and outcome of major trauma with estimated life expectancy from life tables to derive population-based estimates of the burden of major trauma overall and for specific subgroups of the major trauma population (i.e., traumatic brain injury or motor vehicle-related trauma).
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