Literature DB >> 23131967

Extension of the representativeness of the Traumatic Brain Injury Model Systems National Database: 2001 to 2010.

Jeffrey P Cuthbert1, John D Corrigan, Gale G Whiteneck, Cynthia Harrison-Felix, James E Graham, Jeneita M Bell, Victor G Coronado.   

Abstract

OBJECTIVE: To extend the representativeness of the Traumatic Brain Injury Model Systems National Database (TBIMS-NDB) for individuals 16 years and older, admitted for acute, inpatient rehabilitation in the United States with a primary diagnosis of traumatic brain injury (TBI) analyses completed by Corrigan and colleagues by comparing this data set to national data for patients admitted to inpatient rehabilitation with identical inclusion criteria that included 3 additional years of data and 2 new demographic variables.
DESIGN: Secondary analysis of existing data sets and extension of previously published analyses.
SETTING: Acute inpatient rehabilitation facilities. PARTICIPANTS: Patients 16 years and older with a primary rehabilitation diagnosis of TBI; the US TBI Rehabilitation population, n = 156 447; and the TBIMS-NDB population, n = 7373.
INTERVENTIONS: None. MAIN OUTCOME MEASURES: Demographics, functional status, and length of stay in hospital.
RESULTS: The TBIMS-NDB was largely representative of patients 16 years and older, admitted for rehabilitation in the United States with a primary diagnosis of TBI on or after October 1, 2001, and discharged as of December 31, 2010. The results of the extended analyses were similar to those reported by Corrigan and colleagues. Age accounted for the largest difference between the samples, with the TBIMS-NDB including a smaller proportion of patients 65 years and older than all those admitted for rehabilitation with a primary diagnosis of TBI in the United States. After partitioning each data set at age 65, most distributional differences found between samples were markedly reduced; however, differences in the preinjury vocational status of the employed and rehabilitation lengths of stay between 1 and 9 days remained robust. The subsamples of patients 64 years and younger were found to differ only slightly on all remaining variables, whereas those 65 years and older were found to have meaningful differences in insurance type and age distribution.
CONCLUSIONS: These results reconfirm that the TBIMS-NDB is largely representative of patients with TBI receiving inpatient rehabilitation in the United States. Differences between the 2 data sets were found to be stable across the 3 additional years of data, and new differences were limited to those involving newly introduced variables. To use these data for population-based research, it is strongly recommended that statistical adjustment be conducted to account for the lower percentage of patients older than 65 years, inpatient rehabilitation stays less than 10 days, and preinjury vocational status in the TBIMS-NDB.

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Year:  2012        PMID: 23131967      PMCID: PMC5502526          DOI: 10.1097/HTR.0b013e31826da983

Source DB:  PubMed          Journal:  J Head Trauma Rehabil        ISSN: 0885-9701            Impact factor:   2.710


  3 in total

1.  Prospective payment, prospective challenge.

Authors:  Margaret G Stineman
Journal:  Arch Phys Med Rehabil       Date:  2002-12       Impact factor: 3.966

2.  Representativeness of the Traumatic Brain Injury Model Systems National Database.

Authors:  John D Corrigan; Jeffrey P Cuthbert; Gale G Whiteneck; Marcel P Dijkers; Victor Coronado; Allen W Heinemann; Cynthia Harrison-Felix; James E Graham
Journal:  J Head Trauma Rehabil       Date:  2012 Nov-Dec       Impact factor: 2.710

3.  The traumatic brain injury model systems: history and contributions to clinical service and research.

Authors:  Marcel P Dijkers; Cynthia Harrison-Felix; Jennifer H Marwitz
Journal:  J Head Trauma Rehabil       Date:  2010 Mar-Apr       Impact factor: 2.710

  3 in total
  13 in total

1.  Workforce Characteristics, Perceptions, Stress, and Satisfaction among Staff in Green House and Other Nursing Homes.

Authors:  Patrick B Brown; Sandra L Hudak; Susan D Horn; Lauren W Cohen; David Allen Reed; Sheryl Zimmerman
Journal:  Health Serv Res       Date:  2015-12-27       Impact factor: 3.402

2.  Thirty Years of National Institute on Disability, Independent Living, and Rehabilitation Research Traumatic Brain Injury Model Systems Center Research-An Update.

Authors:  Marcel P Dijkers; Jennifer H Marwitz; Cynthia Harrison-Felix
Journal:  J Head Trauma Rehabil       Date:  2018 Nov/Dec       Impact factor: 2.710

3.  Unemployment in the United States after traumatic brain injury for working-age individuals: prevalence and associated factors 2 years postinjury.

Authors:  Jeffrey P Cuthbert; Cynthia Harrison-Felix; John D Corrigan; Jeneita M Bell; Juliet K Haarbauer-Krupa; A Cate Miller
Journal:  J Head Trauma Rehabil       Date:  2015 May-Jun       Impact factor: 2.710

4.  Development and Validation of a Functionally Relevant Comorbid Health Index in Adults Admitted to Inpatient Rehabilitation for Traumatic Brain Injury.

Authors:  Raj G Kumar; Xiaobo Zhong; Gale G Whiteneck; Madhu Mazumdar; Flora M Hammond; Natalia Egorova; Kirk Lercher; Kristen Dams-O'Connor
Journal:  J Neurotrauma       Date:  2021-11-24       Impact factor: 5.269

5.  Traumatic Brain Injury-Practice Based Evidence Study: Design and Patients, Centers, Treatments, and Outcomes.

Authors:  Susan D Horn; John D Corrigan; Jennifer Bogner; Flora M Hammond; Ronald T Seel; Randall J Smout; Ryan S Barrett; Marcel P Dijkers; Gale G Whiteneck
Journal:  Arch Phys Med Rehabil       Date:  2015-08       Impact factor: 3.966

6.  Life Expectancy after Inpatient Rehabilitation for Traumatic Brain Injury in the United States.

Authors:  Cynthia Harrison-Felix; Christopher Pretz; Flora M Hammond; Jeffrey P Cuthbert; Jeneita Bell; John Corrigan; A Cate Miller; Juliet Haarbauer-Krupa
Journal:  J Neurotrauma       Date:  2014-11-04       Impact factor: 5.269

7.  Predicting institutionalization after traumatic brain injury inpatient rehabilitation.

Authors:  Regina S Eum; Ronald T Seel; Richard Goldstein; Allen W Brown; Thomas K Watanabe; Nathan D Zasler; Elliot J Roth; Ross D Zafonte; Mel B Glenn
Journal:  J Neurotrauma       Date:  2014-12-05       Impact factor: 5.269

8.  Concordance between current American Academy of Sleep Medicine and Centers for Medicare and Medicare scoring criteria for obstructive sleep apnea in hospitalized persons with traumatic brain injury: a VA TBI Model System study.

Authors:  Risa Nakase-Richardson; Marie N Dahdah; Emily Almeida; Peter Ricketti; Marc A Silva; Karel Calero; Ulysses Magalang; Daniel J Schwartz
Journal:  J Clin Sleep Med       Date:  2020-06-15       Impact factor: 4.062

9.  Representativeness of the Spinal Cord Injury Model Systems National Database.

Authors:  Jessica M Ketchum; Jeffrey P Cuthbert; Anne Deutsch; Yuying Chen; Susan Charlifue; David Chen; Marcel P Dijkers; James E Graham; Allen W Heinemann; Daniel P Lammertse; Gale G Whiteneck
Journal:  Spinal Cord       Date:  2017-11-06       Impact factor: 2.772

10.  Traumatic brain injury in the prodromal period of Parkinson's disease: A large epidemiological study using medicare data.

Authors:  Alejandra Camacho-Soto; Mark N Warden; Susan Searles Nielsen; Amber Salter; David L Brody; Heidi Prather; Brad A Racette
Journal:  Ann Neurol       Date:  2017-10-31       Impact factor: 10.422

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