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Health Care Cost and Utilization Patterns of Crash Victims In Illinois . Mehdi Nassirpour, Ph.D. Susan Fitzpatrick, Xinrong Lei Illinois Department of Transportation Division of Traffic Safety. CODES in Illinois.

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health care cost and utilization patterns of crash victims in illinois

Health Care Cost and Utilization Patterns of Crash Victims In Illinois

Mehdi Nassirpour, Ph.D.

Susan Fitzpatrick,

Xinrong Lei

Illinois Department of Transportation

Division of Traffic Safety

CODES Workgroup

codes in illinois
CODES in Illinois
  • In 2005 the National Highway Safety Administration (NHTSA) awarded the Illinois Department of Transportation (IDOT) a grant to develop a CODES (Crash Outcome Data Evaluation System) program. This project has been based on collaboration between IDOT and the Illinois Department of Public Health (IDPH) and other state agencies.

CODES Workgroup

codes project and division of traffic safety
CODES Project and Division of Traffic Safety
  • How does CODES project fit with other Highway Safety Programs?
  • Who are the audience?
  • Has it been coordinated with ITRCC?
  • How do program staff react toward the CODES?
  • What have we done to address these concerns?

CODES Workgroup

proposed codes data system for the state of illinois
Proposed CODES Data System for the State of Illinois

Statewide

Police-Reported

Crash Data

FARS

Data

Death

Certificate

Fatal

Data

Head and

Spinal Cord

Injury Data

Hospital Discharge

Data

Trauma

Registry

Trauma

Registry

Inpatient

Information

Police

Crash

Report

Trauma

Registry/

Head/Spinal

Cord Injury

Hospital Discharge

Data

Outpatient

Information

Statewide Police-Reported

Crash Data

Emergency Medical

Data

CODES Workgroup

objectives
Objectives
  • Link 2005 crash data to hospital inpatient discharge data.
  • Provide hospital costs and utilization patterns among those who were injured or died as a result of traffic crashes in Illinois.
  • Provide descriptive information on number of discharges, average length of stay, primary injuries, types of crash controlling for demographics (age and gender), belt status, vehicle type, expected payment source and discharge status and several other factors.
  • Develop analytical models to study the relationship between hospital charges, belt status and alcohol impairment, controlling for several demographic, vehicle and crash characteristics.

CODES Workgroup

linkage project
Linkage Project
  • 2005 Person-level Illinois Crash Records
  • 2005 Consolidated Single Record Hospital Inpatient Admissions
    • 2005 Hospital Inpatient Admissions with Injuries
    • Self Match using CODES2000
    • Consolidated multiple admissions into a single record
  • Imputed Linkages

CODES Workgroup

data linked
Data Linked

Crash

Hospital Inpatient

CODES Workgroup

potential applications
Potential applications
  • Effectiveness of helmets and safety belts
  • Alcohol Impairment
  • Understanding the nature of crashes and injuries
  • Total Hospital Charges and Length of Stay
  • Identifying causes of motor vehicle injuries
  • Improving data quality

CODES Workgroup

slide10

Theoretical Diagram

Injury

Demographics

Charge

Vehicle

Impairment

Belt Status

Crash

Discharge Status

CODES Workgroup

analyses
Analyses
  • Descriptive Statistics (Freq. Percent, and Average) on hospital charges and belt status controlling for several factors.
  • Use multivariate Statistics (Regular Regression and Logistic Regression) to predict hospital charge, belt status, and alcohol impairment controlling for selected factors (Proc MI and MIANALYZE procedures in SAS used to perform these analyses).

CODES Workgroup

descriptive results
Descriptive Results
  • Crash occupants hospitalized as inpatients:
    • 5,235 average number of linked records
    • $55,588 estimated average hospital charges (in 2009 Dollars)
    • 7.0 estimated average length of stay

CODES Workgroup

age group
Age Group

CODES Workgroup

injured body regions
Injured Body Regions

CODES Workgroup

vehicles involved
Vehicles Involved

CODES Workgroup

kabco charges and los
KABCO Charges and LOS

CODES Workgroup

kabco percentages
KABCO Percentages

CODES Workgroup

slide25
Number of Linked Records and Estimated Hospital Charge by Belt Status and Injury Type (KABCO) – Passenger Cars & Light Trucks

CODES Workgroup

estimated hospital charge by belt status and gender passenger cars light trucks
Estimated Hospital Charge By Belt Status and Gender – Passenger Cars & Light Trucks

CODES Workgroup

estimated hospital charge by belt status and location passenger cars light trucks
Estimated Hospital Charge By Belt Status and Location – Passenger Cars & Light Trucks

CODES Workgroup

estimated hospital charge by belt status and alcohol impairment passenger cars light trucks
Estimated Hospital Charge by Belt Status and Alcohol Impairment – Passenger Cars & Light Trucks

CODES Workgroup

percent motorcycle injuries by police reported injury type and helmet status
Percent Motorcycle Injuries by Police Reported Injury Type and Helmet Status

Total helmeted =191

Total not Helmeted =493

CODES Workgroup

percent head injuries by helmet status
Percent Head Injuries by Helmet Status

Total helmeted =191

Total not Helmeted =493

CODES Workgroup

severity of head injuries charges
Severity of Head Injuries– Charges

Total N=706

Total Head Injury = 273 (39%)

CODES Workgroup

upper and lower extremity injuries charges
Upper and Lower Extremity Injuries– Charges

Total N=706

Total Upper Extremities 333 (47%)

Total Upper Extremities= 379 (54%)

CODES Workgroup

crash type charges
Crash Type– Charges

CODES Workgroup

total charge per discharge controlling for selected person vehicle and environmental variables
Total Charge Per Discharge Controlling for Selected Person, Vehicle and Environmental Variables

CODES Workgroup

results of mianalyze on belted controlling for selected person vehicle and environmental variables
Results of MIANALYZE on BELTED Controlling for Selected Person, Vehicle and Environmental Variables

CODES Workgroup

future plan
Future Plan
  • Complete the analysis
  • Validate and compare our numbers with other states’ data through NHTSA and other CODES states
  • Share the results with following groups:
    • ITRCC members
    • CODES Advisory Committee members
    • Highway Safety Program Committee members
  • Use the linked data as source database for the highway safety and injury prevention groups
  • Repeat the data linkages and analyses using 2006 or more recent Crash and Health Care Data including EMS

CODES Workgroup

slide46

Mehdi Nassirpour, Ph.D.

Illinois Department of Transportation

mehdi.nassirpour@illinois.gov

Website address for this presentation

http://www.dot.state.il.us/trafficsafety/tsevaluation.html

CODES Workgroup

questions

QUESTIONS ?

CODES Workgroup