Evidence map›Paper›PMID 39110848›Full record

ArticleThe Journal of head trauma rehabilitation

The TBI Model Systems Neighborhood Socioeconomic Disadvantage Index (TBIMS-NSDI): Development and Comparison to Individual Socioeconomic Characteristics.

Raj G Kumar, Andrew Delgado, John D Corrigan, C B Eagye, Gale G Whiteneck, Shannon B Juengst, Librada Callender, Jennifer A Bogner, Shanti M Pinto, Amanda R Rabinowitz and 7 more

Abstract readComparative Study
In one paragraph

Article in The Journal of head trauma rehabilitation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Raj G KumarAuthor Affiliations: Department of Rehabilitation and Human Performance (Drs Kumar and Dams-O'Connor), Department of Population Health Science & Policy (Dr Delgado), Department of Emergency Medicine (Dr Taylor), Department of Neurology (Dr Dams-O'Connor), Icahn School of Medicine at Mount Sinai, New York, New York; Department of Physical Medicine and Rehabilitation (Drs Corrigan and Bogner), College of Medicine, The Ohio State University; Research Department, Craig Hospital, Englewood, Colorado(Drs Eagye and Whiteneck); Brain Injury Research Center, TIRR Memorial Hermann (Dr Juengst), Houston, Texas; Department of Physical Medicine and Rehabilitation (Dr Juengst), UT Health Sciences Center at Houston, Houston, Texas; Baylor Scott and White Institute for Rehabilitation (Dr Callender), Dallas, Texas; Department of Physical Medicine and Rehabilitation (Dr Pinto), University of Texas Southwestern Medical Center, Dallas, Texas; Moss Rehabilitation Research Institute (Drs Rabinowitz and Venkatesan), Elkins Park, Pennsylvania; Department of Rehabilitation Medicine (Drs Rabinowitz and Venkatesan), Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania; Central Virginia Veterans Affairs Health Care System (Dr Perrin), Richmond, Virginia; School of Data Science and Department of Psychology (Dr Perrin), University of Virginia, Charlottesville, Virginia; Kessler Foundation (Drs Botticello and Lequerica), East Hanover, New Jersey; Rutgers-New Jersey Medical School (Drs Botticello and Lequerica), Newark, New Jersey; Department of Physical Medicine and Rehabilitation (Dr Zafonte), Harvard Medical School, Boston, Massachusetts; Spaulding Rehabilitation Hospital (Dr Zafonte), Boston, Massachusetts; Massachusetts General Hospital (Dr Zafonte), Boston, Massachusetts; Brigham and Women's Hospital (Dr Zafonte), Boston, Massachusetts.
Andrew Delgado
John D Corrigan
C B Eagye
Gale G Whiteneck
Shannon B Juengst
Librada Callender
Jennifer A Bogner
Shanti M Pinto
Amanda R Rabinowitz
Paul B Perrin
Umesh M Venkatesan
Amanda L Botticello
Anthony H Lequerica
Shameeke Taylor
Ross D Zafonte
Kristen Dams-O'Connor

Funding

Leveraging existing data resources to characterize health and clinical care among older adults with traumatic brain injuryK99HD106060 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KUMAR, RAJ GOPALAN · 2021 to 2022
$260k
NICHD NIH HHS K99 HD106060
6 · The paper itself

Abstract

objectiveTo create a census-based composite neighborhood socioeconomic deprivation index (NSDI) from geocoded residential addresses and to quantify how NSDI aligns with individual-level socioeconomic factors among people with traumatic brain injury (TBI).

settingCommunity.

participantsPeople enrolled in the TBI Model Systems National Database (TBIMS NDB).

designSecondary analysis of a longitudinal cohort study. MAIN MEASURES: The TBIMS-NSDI was calculated at the census tract level for the United States population based on a principal components analysis of eight census tract-level variables from the American Community Survey. Individual socioeconomic characteristics from the TBIMS NDB were personal household income, education (years), and unemployment status. Neighborhood:Individual NSDI residuals represent the difference between predicted neighborhood disadvantage based on individual socioeconomic characteristics versus observed neighborhood disadvantage based on the TBIMS-NSDI .

resultsA single principal component was found to encompass the eight socioeconomic neighborhood-level variables. It was normally distributed across follow-up years 2, 5, and 10 post-injury in the TBIMS NDB. In all years, the TBIMS-NDSI was significantly associated with individual-level measures of household income and education but not unemployment status. Males, persons of Black and Hispanic background, Medicaid recipients, persons with TBI caused by violence, and those living in urban areas, as well as in the Northeast or Southern regions of the United States, were more likely to have greater neighborhood disadvantage than predicted based on their individual socioeconomic characteristics.

conclusionsThe TBIMS-NSDI provides a neighborhood-level indicator of socioeconomic disadvantage, an important social determinant of outcomes from TBI. The Neighborhood:Individual NSDI residual adds another dimension to the TBIMS-NSDI by summarizing how a person's socioeconomic status aligns with their neighborhood socioeconomics. Future studies should evaluate how both measures affect TBI recovery and life quality. Research studying neighborhood socioeconomic disadvantage may improve our understanding of how systemic adversity influences outcomes after TBI.

Indexed as

Brain Injuries, TraumaticNeighborhood CharacteristicsResidence CharacteristicsAdultCensusesFemaleHumansLongitudinal StudiesMaleMiddle AgedSocioeconomic Disparities in HealthSocioeconomic FactorsUnited StatesYoung Adult

Identifiers

PMID39110848
PMCPMC12123535

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.