Disability weights based on patient-reported data from a multinational injury cohort

Area of Science:

• Public Health
• Epidemiology
• Health Economics

Background:

• Estimating the global burden of disease relies on accurate disability weights.
• Current methods often use panel-based weights, which may not fully capture patient experiences.
• Individual injury diagnosis and nature-of-injury classifications require specific, patient-centered weights.

Purpose of the Study:

• To develop patient-based disability weights for injury diagnosis codes and nature-of-injury classifications.
• To provide an alternative to panel-based weights for burden of disease research.
• To enhance the accuracy of disability estimates for injuries.

Main Methods:

• Collected self-reported EQ-5D health status data from 29,770 participants in the multinational Injury-VIBES cohort study.
• Calculated new disability weights for common injury classifications and diagnoses (ICD-10).
• Differentiated weights for hospital admissions versus emergency department presentations.

Main Results:

• New disability weights were calculated for 29,770 injury cases.
• Calculated weights were higher for admitted cases than emergency department cases.
• New weights exceeded those used in the Global Burden of Disease 2013 study, indicating higher estimated disability.
• Long-term disability was prevalent across most injury categories.

Conclusions:

• Injuries frequently result in chronic conditions, necessitating their reflection in burden of disease estimates.
• Applying these new patient-based weights can significantly increase disability-adjusted life-year estimates.
• These enhanced estimates offer a more precise understanding of the impact of injuries on individuals' lives.