Comparison of the VA and NIDILRR TBI Model System Cohorts

Nakase‐Richardson, Risa; Stevens, Lillian Flores; Tang, Xinyu; Lamberty, Greg J.; Sherer, Mark; Walker, William C.; Pugh, Mary Jo; Eapen, Blessen C.; Finn, Jacob A.; Saylors, Mimi; Dillahunt-Aspillaga, Christina; Adams, Rachel Sayko; Garofano, Jeffrey S.

doi:10.1097/htr.0000000000000334

Cited by 35 publications

(47 citation statements)

References 27 publications

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“…However, many veterans seek care outside of the VHA . Additional research on outcomes for both male and female veterans with histories of TBI who receive health care in the private sector exclusively is warranted, possibly using TBI Model Systems data or other approaches for identifying veteran status.…”

Section: Discussionmentioning

confidence: 99%

Gender Differences in Outcomes after Traumatic Brain Injury among Service Members and Veterans

Cogan

McCaughey

Scholten

2019

PM&R

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This scoping study describes the range of outcomes in traumatic brain injury (TBI) studies of military service members and veterans addressing gender differences. A secondary purpose is to identify differences in outcomes between male and female participants in such studies. We searched PubMed, CiNAHL, and PsycInfo databases for relevant articles. Two reviewers independently screened results. Of 822 unique titles and abstracts screened for eligibility, 55 full articles were reviewed, with 29 studies meeting full inclusion criteria. Twenty of the 29 included studies used retrospective designs and all but two used data collected from Veterans Affairs or Department of Defense health care settings. TBI was diagnosed by self‐report, screening, and evaluation procedures, and medical record documentation. Ten different outcome categories were identified among the included studies. In general, female service members and veterans have not been well represented in TBI outcomes research. Evidence suggests that female veterans with mild TBI (mTBI) report more neurobehavioral symptoms and use more outpatient services than male veterans. Studies also indicate that female veterans with TBI are more frequently diagnosed with depression. Additional research is essential to support precision treatment recommendations for female veterans with TBI, as women represent a growing proportion of the patients served by the Veterans Health Administration. Level of Evidence IV

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Section: Discussionmentioning

confidence: 99%

Gender Differences in Outcomes after Traumatic Brain Injury among Service Members and Veterans

Cogan

McCaughey

Scholten

2019

PM&R

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“…Consistent with Nampiaparampil,19 only studies using a clearly defined operational definition for the diagnosis of TBI will be considered for inclusion. Recognised criteria for the diagnosis of TBI include either: (1) a period of unconsciousness and/or post-traumatic amnesia, (2) clinician’s confirmation of the initial Glasgow Coma Scale score at hospital admission or (3) a self-professed experience of transient neuropsychological dysfunction following injury to the head 1 32–34…”

Section: Methodsmentioning

confidence: 99%

Update on the prevalence of persistent post-traumatic headache in adult civilian traumatic brain injury: protocol for a systematic review and meta-analysis

et al. 2020

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IntroductionTraumatic brain injury (TBI) is a major public health concern. Persistent post-traumatic headache (PTH) is a common consequence of TBI affecting productivity and quality of life. The only review providing information about headache prevalence after TBI was published in 2008, combined data from civilian and military TBI, and was strictly derived from Medline database. Due to recent changes in TBI diagnosis and trauma epidemiology, the aim of the current study is to perform a systematic review and meta-analysis to derive updated prevalence estimates of persistent PTH in adult civilian TBI.Methods and analysisThe methods have been defined following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Studies published from 2008 to 2019 will be identified searching the electronic databases Medline, Embase, Cochrane, Google Scholar, Directory of Open Access Journals and Web of Science. Retrieved records will be independently screened by two authors and relevant data will be extracted from studies reporting data on persistent PTH prevalence among civilian TBI individuals (≥16 years). The pooled prevalence estimates of any form of headache will be computed applying random-effects meta-analysis. Heterogeneity will be assessed using the I2statistic and explored through subgroup analyses considering TBI severity (mild vs moderate/severe). Estimations of risk of bias will be performed using the Risk of Bias Tool for Prevalence Studies.Ethics and disseminationThe result of this systematic review will be published in a peer-reviewed journal and disseminated at relevant conferences presentations. Formal ethical approval is not required because we will search and evaluate only existing sources of literature. By focusing on studies conducted in the last decade, this review will provide the most up-to-date information about the global prevalence of persistent PTH after TBI. Considering the economical and social burden of persistent PTH after TBI, accurate estimates of this problematic disorder is of utmost importance for planning, implementing and evaluating prevention interventions.PROSPERO registration numberNCT42018094138

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“…10,11 Beginning in 2008, the NIDILRR also partnered with the Department of Veteran Affairs through Congressional mandate, enabling the assessment of TBI recovery stages and outcomes specifically for veterans and service members admitted to one of the five polytrauma rehabilitation centers (PRCs) included in the database. 12 Unlike the NIDILRR TBIMS, the VA-TBIMS database collects information on all veterans and service members from around the world who have experienced a TBI of any severity, from mild to severe. 12 This is in contrast to the NIDILRR TBIMS database, which limits participant inclusion to moderate-severe TBIs and specified cases of mild TBI, based in the United States.…”

Section: And the Collaborative European Neurotrauma Effectiveness Resmentioning

confidence: 99%

“…12 Unlike the NIDILRR TBIMS, the VA-TBIMS database collects information on all veterans and service members from around the world who have experienced a TBI of any severity, from mild to severe. 12 This is in contrast to the NIDILRR TBIMS database, which limits participant inclusion to moderate-severe TBIs and specified cases of mild TBI, based in the United States. 8,12 Similarities across the two databases are attributable to modeling the VA-TBIMS after the NIDILRR TBIMS.…”

Section: And the Collaborative European Neurotrauma Effectiveness Resmentioning

confidence: 99%

The Traumatic Brain Injury Model Systems National Database: A Review of Published Research

Tso

Saha

Cusimano

2021

Neurotrauma Reports

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The Traumatic Brain Injury Model Systems (TBIMS) is the largest longitudinal TBI data set in the world. Our study reviews the works using TBIMS data for analysis in the last 5 years. A search (2015-2020) was conducted across PubMed, EMBASE, and Google Scholar for studies that used the National Institute on Disability, Independent Living and Rehabilitation Research NIDILRR/VA-TBIMS data. Search terms were as follows: [''TBIMS'' national database] within PubMed and Google Scholar, and [''TBIMS' ' AND national AND database] on EMBASE. Data sources, study foci (in terms of data processing and outcomes), study outcomes, and follow-up information usage were collected to categorize the studies included in this review. Variable usage in terms of TBIMS' form-based variable groups and limitations from each study were also noted. Assessment was made on how TBIMS' objectives were met by the studies. Of the 74 articles reviewed, 23 used TBIMS along with other data sets. Fifty-four studies focused on specific outcome measures only, 6 assessed data aspects as a major focus, and 13 explored both. Sample sizes of the included studies ranged from 11 to 15,835. Forty-two of the 60 longitudinal studies assessed follow-up from 1 to 5 years, and 15 studies used 10 to 25 years of the same. Prominent variable groups as outcome measures were ''Employment,'' ''FIM,'' ''DRS,'' ''PART-O,'' ''Satisfaction with Life,'' ''PHQ-9,'' and ''GOS-E.'' Limited numbers of studies were published regarding tobacco consumption, the Brief Test of Adult Cognition by Telephone (BTACT), the Supervision Rating Scale (SRS), general health, and comorbidities as variables of interest. Generalizability was the most significant limitation mentioned by the studies. The TBIMS is a rich resource for large-sample longitudinal analyses of various TBI outcomes. Future efforts should focus on under-utilized variables and improving generalizability by validation of results across large-scale TBI data sets to better understand the heterogeneity of TBI.

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Comparison of the VA and NIDILRR TBI Model System Cohorts

Cited by 35 publications

References 27 publications

Gender Differences in Outcomes after Traumatic Brain Injury among Service Members and Veterans

Gender Differences in Outcomes after Traumatic Brain Injury among Service Members and Veterans

Update on the prevalence of persistent post-traumatic headache in adult civilian traumatic brain injury: protocol for a systematic review and meta-analysis

The Traumatic Brain Injury Model Systems National Database: A Review of Published Research

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