title: Quality-adjusted life years lost from nonfatal motor vehicle accident injuries.
abstract: BACKGROUND
  A number of studies have estimated the quality-adjusted life years (QALYs) lost from nonfatal motor vehicle accident injuries, but these estimates have a number of limitations.
  
  
  OBJECTIVE
  The goal of this study is to estimate the QALYs lost from the typical motor vehicle accident injury based on 1) data obtained through a standard preference elicitation procedure, 2) both permanent and nonpermanent injuries, and 3) a more realistic baseline quality-of-life level from which to determine the QALY decrement. This study also intends to demonstrate the advantages of using self-reported health status as the basis for determining a change in QALYs.
  
  
  METHODS
  Ordered probit equations were estimated to determine the change in self-reported health status associated with 3 categories of injuries. These results were next converted to their marginal effects and weighted by the quality-of-life estimates for self-reported health status found in Nyman and others (2007). The quality-of-life decrements for the 3 categories of injury were then converted to QALY decrements by applying estimates of the duration of that injury type.
  
  
  METHODS
  The data came from 8 years of the Medical Expenditure Panel Survey (MEPS), from 1997 to 2004.
  
  
  METHODS
  Self-reported health status categories were excellent, very good, good, fair, or poor.
  
  
  RESULTS
  The reference case decrement for an average motor vehicle accident injury is 0.0612 QALYs or 0.0360 QALYs, if discounted at 3%.
  
  
  CONCLUSIONS
  Quality-of-life weights for self-reported health status can be used to exploit the data in large national surveys.
authors.affiliation: Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN 55455-0392, USA. nyman001@umn.edu
authors.forename: John A
authors.initials: JA
authors.lastname: Nyman
authors.forename: Nathan A
authors.initials: NA
authors.lastname: Barleen
authors.forename: Phatta
authors.initials: P
authors.lastname: Kirdruang
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D002648:Child; D002675:Child, Preschool; D005260:Female; D006304:Health Status; D006801:Humans; D007223:Infant; D008297:Male; D008875:Middle Aged; D019057:Quality-Adjusted Life Years; D014947:Wounds and Injuries / Q000453:epidemiology*