Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/537
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dc.contributor.authorSpitz, Gershon-
dc.contributor.authorMcKenzie, Dean-
dc.contributor.authorPonsford, Jennie-
dc.contributor.otherAttwood, David-
dc.date2016-02-
dc.date.accessioned2016-02-17T05:33:40Z-
dc.date.available2016-02-17T05:33:40Z-
dc.date.issued2016-02-
dc.identifier.citationJ Neurol Neurosurg Psychiatry. 2016 Feb;87(2):173-80.en_US
dc.identifier.issn0022-3050en_US
dc.identifier.issn1468-330Xen_US
dc.identifier.urihttp://hdl.handle.net/11434/537-
dc.description.abstractOBJECTIVE: The ability to predict costs following a traumatic brain injury (TBI) would assist in planning treatment and support services by healthcare providers, insurers and other agencies. The objective of the current study was to develop predictive models of hospital, medical, paramedical, and long-term care (LTC) costs for the first 10 years following a TBI. METHODS: The sample comprised 798 participants with TBI, the majority of whom were male and aged between 15 and 34 at time of injury. Costing information was obtained for hospital, medical, paramedical, and LTC costs up to 10 years postinjury. Demographic and injury-severity variables were collected at the time of admission to the rehabilitation hospital. RESULTS: Duration of PTA was the most important single predictor for each cost type. The final models predicted 44% of hospital costs, 26% of medical costs, 23% of paramedical costs, and 34% of LTC costs. Greater costs were incurred, depending on cost type, for individuals with longer PTA duration, obtaining a limb or chest injury, a lower GCS score, older age at injury, not being married or defacto prior to injury, living in metropolitan areas, and those reporting premorbid excessive or problem alcohol use. CONCLUSIONS: This study has provided a comprehensive analysis of factors predicting various types of costs following TBI, with the combination of injury-related and demographic variables predicting 23-44% of costs. PTA duration was the strongest predictor across all cost categories. These factors may be used for the planning and case management of individuals following TBI.en_US
dc.publisherBMJ Groupen_US
dc.subjectMonash-Epworth Rehabilitation Research Centre, Epworth Hospital, Melbourne, Victoria, Australia.en_US
dc.subjectClinical Trials and Research Centre, Epworth Healthcare, Melbourne, Victoria, Australia.en_US
dc.subjectNeurologyen_US
dc.subjectHead Traumaen_US
dc.subjectInjuries, Headen_US
dc.subjectTrauma, Headen_US
dc.subjectRehabilitationen_US
dc.subjectRecovery of Functionen_US
dc.subjectLong-Term Careen_US
dc.subjectHealth Care Providersen_US
dc.subjectInsurersen_US
dc.subjectBrain Injuriesen_US
dc.subjectInjuries, Brainen_US
dc.subjectTraumatic Brain Injuryen_US
dc.subjectTrauma, Brainen_US
dc.subjectTBIen_US
dc.subjectDemographyen_US
dc.subjectInjury Severity Scoreen_US
dc.subjectRehabilitation, Mental Health and Chronic Pain Clinical Institute, Epworth HealthCare, Victoria, Australiaen_US
dc.titleCosts prediction following traumatic brain injury: model development and validation.en_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1136/jnnp-2014-309479en_US
dc.identifier.journaltitleJournal of Neurology, Neurosurgery and Psychiatry.en_US
dc.description.pubmedurihttp://www.ncbi.nlm.nih.gov/pubmed/25694473en_US
dc.description.affiliatesSchool of Psychological Sciences, Monash University, Melbourne, Victoria, Australia.en_US
dc.description.affiliatesSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.en_US
dc.description.affiliatesTransport Accident Commission, Geelong, Victoria, Australia.en_US
dc.type.studyortrialProspective Cohort Studyen_US
dc.type.contenttypeTexten_US
Appears in Collections:Mental Health
Neurosciences
Health Administration
Rehabilitation

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