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Analysis of EQ-5D Reported Outcome after Injury Meta-Analysis

Explore patients' perspectives on health outcomes post-injury through EQ-5D data analysis, focusing on HRQoL measures and predicting health states, with potential benefits of IPD meta-analysis. Future directions include assessing burden of injury and improving data availability.

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Analysis of EQ-5D Reported Outcome after Injury Meta-Analysis

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  1. EQ-5D reported outcome after injury: an individual patient data meta-analysisJames Black (presenting), Peter Herbison, Ronan Lyons, Suzanne Polinder, Sarah DerrettInjury Prevention Research Unit, University of Otago Joint Meeting of the International Collaborative Effort on Injury Statistics (ICE) and the Global Burden of Diseases Injury Expert Group (GBD-IEG), Swansea University, 2010

  2. EQ-5D and Injury Outcome • Growing influence of patients perspective • Growth of Health-Related Quality of Life (HRQoL) measures • Lack of information for injury populations • An earlier systematic literature search • Derrett, Black & Herbison. Journal of Trauma (2009) • 44 injury studies included • Study heterogeneity prevented pooling published data into a meaningful meta-analysis

  3. 35 = 243 possible health states from the 5 official dimensions Cognitive function

  4. Overall self-rated health status Worst imaginable health state (0) Best imaginable health state (100) EQ-5D: Visual Analogue Score

  5. Have analysed • 21 datasets • Ranging from spinal cord injuries to simple strains • 10,496 injured person’s EQ-5D injury data • 1500+ beyond one year • Predictions produced for 25 (of 39) injury categories

  6. The added benefit of IPD meta-analysis 4) A study specific error term 2) Population variance 3) A single studies average β 1) The population mean quality of life Adapted with permission from Rabe-Hesketh, Multilevel and Longitudinal Modeling using Stata, Stata Press

  7. Future questions • The burden of injury / Residual impairment – • clinical function balanced with subjective functional health status • Analytical comparisons of recovery trajectories • Cohorts and registries • More and more data avalailable James.Black@lshtm.ac.uk

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