Cost prediction following traumatic brain injury: model development and validation

Area of Science:

• Neuroscience
• Health Economics
• Rehabilitation Medicine

Background:

• Traumatic brain injury (TBI) incurs significant costs.
• Accurate cost prediction is vital for resource allocation and patient management.

Purpose of the Study:

• To develop predictive models for hospital, medical, paramedical, and long-term care (LTC) costs up to 10 years post-TBI.
• Identify key factors influencing these costs.

Main Methods:

• Analysis of 798 participants with TBI.
• Collection of demographic and injury-severity data.
• Obtaining cost data for hospital, medical, paramedical, and LTC up to 10 years post-injury.

Main Results:

• Post-traumatic amnesia (PTA) duration was the strongest predictor across all cost types.
• Models predicted 23-44% of total costs.
• Other predictors included limb/chest injury, lower GCS score, older age, marital status, urban living, and alcohol use.

Conclusions:

• Injury-related and demographic factors significantly predict TBI-related costs.
• PTA duration is a key factor for cost estimation.
• Findings can inform planning and case management for TBI survivors.