Abstract
Objective
Design
Setting
Participants
Intervention
Main Outcome Measures
Results
Conclusions
Keywords
List of abbreviations:
GCS (Glasgow Coma Scale), GOS-E (Glasgow Outcome Scale-Extended), MERRC (Monash Epworth Rehabilitation Research Centre), OR (odds ratio), PTA (posttraumatic amnesia), TAC (Transport Accident Commission), TBI (traumatic brain injury), TBIMS (Traumatic Brain Injury Model Systems)Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Archives of Physical Medicine and RehabilitationReferences
- The epidemiology of traumatic brain injury.J Head Trauma Rehabil. 2010; 25: 72-80
- The epidemiology and impact of traumatic brain injury: a brief overview.J Head Trauma Rehabil. 2006; 21: 375-378
- US population estimates of health and social outcomes 5 years after rehabilitation for traumatic brain injury.J Head Trauma Rehabil. 2014; 29: E1-E9
- Epidemiology of adults receiving acute inpatient rehabilitation for a primary diagnosis of traumatic brain injury in the United States.J Head Trauma Rehabil. 2015; 30: 122-135
- Longitudinal follow-up of patients with traumatic brain injury: outcome at 2, 5, and 10-years post-injury.J Neurotrauma. 2014; 31: 64-77
- The economic cost of SCI and TBI in Australia.Melbourne: Victorian Neurotrauma Initiative, 2009
- Incidence, prevalence, costs, and impact on disability of common conditions requiring rehabilitation in the United States: stroke, spinal cord injury, traumatic brain injury, multiple sclerosis, osteoarthritis, rheumatoid arthritis, limb loss, and back pain.Arch Phys Med Rehabil. 2014; 95: 986-995
- Predicting long-term global outcome after traumatic brain injury: development of a practical prognostic tool using the Traumatic Brain Injury Model Systems Database.J Neurotrauma. 2018; 35: 1-9
- Clinical elements that predict outcome after traumatic brain injury: a prospective multicenter recursive partitioning (decision-tree) analysis.J Neurotrauma. 2005; 22: 1040-1051
- Comparison of indices of traumatic brain injury severity: Glasgow Coma Scale, length of coma and post-traumatic amnesia.J Neurol Neurosurg Psychiatry. 2008; 79: 678-685
- Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research.Lancet Neurol. 2017; 16: 987-1048
- Thirty years of National Institute on Disability, Independent Living, and Rehabilitation research Traumatic Brain Injury Model Systems Center research-an update.J Head Trauma Rehabil. 2018; 33: 363-374
- Traumatic Brain Injury Model Systems National Database Syllabus.(Available at:) (Accessed June 13, 2019)
- Outcome measurement in an inpatient and outpatient traumatic brain injury rehabilitation programme.Neuropsychol Rehabil. 1999; 9: 517-534
- MatchIt: nonparametric preprocessing for parametric causal inference.J Stat Softw. 2011; 42: 1-28
- brms: an R package for Bayesian multilevel models using Stan.J Stat Softw. 2017; 80: 1-28
- Advanced Bayesian multilevel modeling with the R package brms.R J. 2018; 10: 395-411
- Characterising early and late return to work following traumatic brain injury.J Neurtrauma. 2019; 36: 2533-2540
Article info
Publication history
Footnotes
The Traumatic Brain Injury Model System Centers program is funded by the National Institute on Disability, Independent Living, and Rehabilitation Research, a center within the Administration for Community Living of the US Department of Health and Human Services. The Monash Epworth Rehabilitation Research Centre Longitudinal Head Injury Outcome Study is funded by the Transport Accident Commission. Representatives from Transport Accident Commission were not involved in the collection, data analysis, preparation or review of the paper.
Supported by the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) to Ohio State University (grant no. 90DPTB0001) and the Traumatic Brain Injury Model Systems National Data and Statistical Center (grant no. 90DP0084). NIDILRR is a Center within the Administration for Community Living (ACL), Department of Health and Human Services (HHS). The contents of this publication do not necessarily represent the policy of NIDILRR, ACL, or HHS, and you should not assume endorsement by the Federal Government.
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Disability, Independent Living, and Rehabilitation Research, the Administration for Community Living, the US Department of Health and Human Services or the Victorian Transport Accident Commission.
Disclosures: none.