Cited by 46Traumatic Brain Injury ResearchElectronic Health Records SystemsResearch Data Management Practices

Common Data Elements and Federal Interagency Traumatic Brain Injury Research Informatics System for TBI Research

Open access
Thompson, Hilaire J., Vavilala, Monica S., Rivara, Frederick P.·2015·Annual Review of Nursing Research

Abstract

Despite increased attention to traumatic brain injury (TBI), there remains no specific treatment and available interventions focus rather on the prevention of secondary injury. One of the reasons posited for the lack of a successful therapy is the amalgamation of various types of injuries under the same severity category in clinical trials. Informatics approaches have been suggested as a means to develop an improved classification system for TBI. As a result of federal interagency efforts, common data elements (CDEs) for TBI have now been developed. Further, the Federal Interagency Traumatic Brain Injury Research Informatics System (FITBIR) has been created and is now available for TBI researchers to both add and retrieve data. This chapter will discuss the goals, development, and evolution of the CDEs and FITBIR and discuss how these tools can be used to support TBI research. A specific exemplar using the CDEs and lessons learned from working with the CDEs and FITBIR are included to aid future researchers.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1891/0739-6686.33.1

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Clinical databases such as TRACK-TBI, FITBIR, and IMPACT that serve as integrated repositories for multi-dimensional outcome assessments, genomic/proteomic data, neuroimaging and blood biomarkers for civilian, sports, and military TBI are becoming important tools in evaluating the impact of sex on TBI outcomes and experimental treatments.

    “Clinical databases such as TRACK-TBI, FITBIR, and IMPACT that serve as integrated repositories for multi-dimensional outcome assessments, genomic/proteomic data, neuroimaging and blood biomarkers for civilian, sports, and military TBI are becoming important tools in evaluating the impact of sex on TBI outcomes and experimental treatments. 112-114”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Federal Interagency Traumatic Brain Injury Research Informatics System (FITBIR) 2014 FAQs Retrieved August 29, 2014 from https://fitbir.nih.gov/jsp/about/faqs.jsp PMC4704986 25946381
  2. Pope AM Tarlov AR 1991 Disability in America: A National Agenda for prevention Washington, DC National Academies Press

Cited by

Sorted by citations

Authors
Thompson, H. J., Vavilala, M. S., & Rivara, F. P.
Venue
Annual Review of Nursing Research
Published
2015-05
Volume
33
Issue
1
Pages
1-11
ISSN
  • 0739-6686 (ISSN-L)
  • 1944-4028
OpenAlex
W2277708352
Cited by
46
References
12
Citations by year
2026: 4 · 2025: 4 · 2024: 2 · 2023: 5 · 2022: 6 · 2021: 5 · 2020: 3 · 2019: 7 · 2018: 4 · 2017: 5 · 2016: 1
FWCI
2.61
Type
journal article
Language
en
Open access
Locations
  • Annual Review of Nursing Research (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Neurological Disorders and Stroke (R01NS077913)
Topics
  • Health Sciences › Medicine › Epidemiology › Traumatic Brain Injury Research
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
Keywords
traumatic brain injury, common data elements, research informatics, secondary injury prevention, clinical trials, data sharing
MeSH terms
Brain Injuries, Government Agencies, Humans, Medical Informatics, United States, Federal Government, Biomedical Research, National Institute of Neurological Disorders and Stroke (U.S.), Common Data Elements

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review