Citation

Feldman B, Shen J, Chen C, Shi J, Xiang H. Brain Inj. 2020; ePub(ePub): ePub.

Affiliation

Center for Injury Research and Policy, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.

Copyright

(Copyright © 2020, Informa - Taylor and Francis Group)

DOI

10.1080/02699052.2020.1753111

PMID

32320317

Abstract

Objective: To provide nationally representative estimates of adults with traumatic brain injury (TBI) and identify clusters of individuals with TBI who follow similar perceived health trajectories using group-based trajectory modeling.Participants: Adults (≥18 years old) from panels 9-19 (2004-2015) of the Medical Expenditure Panel Survey (MEPS) who experienced a TBI (n = 949).Design: Data from MEPS, a nationally representative database of noninstitutionalized individuals in the USA, were used to 1) produce a national annual estimate of adults with TBI and 2) identify subgroups of patients with TBI who followed different general and mental health trajectories.Main Measures: Perceived general health (PGH), perceived mental health (PMH)Results: On average, 502 adults per 100,000 noninstitutionalized US adults experienced a TBI annually, and about one million adults are living with a TBI. Three distinct trajectory groups were identified in models of both perceived general health (PGH) and perceived mental health (PMH). TBI type, sex, and persistent disability predicted assignment to a group in the PGH model. TBI type, sex, age, insurance status, family poverty status, and persistent disability predicted assignment to a PMH trajectory.Conclusion: Referrals and early-intervention resources should be distributed to individuals with increased risk of following low PGH and/or PMH trajectories.

Language: en

Keywords

Group-Based Trajectory Modeling (GBTM); disabled persons; sex differences; traumatic brain injury