Risk Adjustment In Neurocritical care (RAIN) - prospective validation of risk prediction models for adult patients with acute traumatic brain injury to use to evaluate the optimum location and comparative costs of neurocritical care: a cohort study

Harrison D, Prabhu G, Grieve R, Harvey S, Sadique M, Gomes M, Griggs K, Walmsley E, Smith M, Yeoman P, Lecky F, Hutchinson P, Menon D, Rowan K
Record ID 32010000351
English
Authors' recommendations: The risk models demonstrated sufficient statistical performance to support their use in research but fell below the level required to guide individual patient decision-making. The results suggest that management in a dedicated neurocritical care unit may be cost-effective compared with a combined neuro/general critical care unit (although there is considerable statistical uncertainty) and support current recommendations that all patients with severe TBI would benefit from transfer to a neurosciences centre, regardless of the need for surgery. We recommend further research to improve risk prediction models; consider alternative approaches for handling unobserved confounding; better understand long-term outcomes and alternative pathways of care; and explore equity of access to postcritical care support for patients following acute TBI.
Details
Project Status: Completed
Year Published: 2013
URL for published report: http://www.hta.ac.uk/1779
English language abstract: An English language summary is available
Publication Type: Not Assigned
Country: England, United Kingdom
MeSH Terms
  • Adult
  • Predictive Value of Tests
  • Prognosis
  • Risk Factors
  • Severity of Illness Index
  • Treatment Outcome
Contact
Organisation Name: NIHR Health Technology Assessment programme
Contact Address: NIHR Journals Library, National Institute for Health and Care Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK
Contact Name: journals.library@nihr.ac.uk
Contact Email: journals.library@nihr.ac.uk
Copyright: 2013 Queen's Printer and Controller of HMSO
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