Figures
Abstract
Background
Traumatic brain injury is a major cause of death and disability worldwide, with almost half of new cases occurring in children, adolescents, and young adults. However, data on injury characteristics stratified by social determinants of health are scarce. This study explores severity, intent, and mechanism of traumatic brain injury sustained during childhood, adolescence, and young adulthood by social determinants of health.
Methods
This study utilizes a population-based birth cohort of births in publicly funded hospitals in Ontario, Canada, between April 1, 1992 and March 31, 2020 (n = 3,648,760). Individuals experiencing a traumatic brain injury requiring medical attention to the emergency department or acute care between April 1, 2002 and November 20, 2020 (n = 94,514) were identified using International Classification of Diseases Version 10 diagnosis codes. Social determinants of health variables included age, sex, rurality of residence, neighbourhood income quintile, and the following Ontario Marginalization Index variables: households and dwellings, material resources, and racialized and newcomer populations. The primary outcome was percentage of injuries falling under each mechanism, intent, and severity of injury category, stratified by social determinants of health variables.
Results
Approximately 50% of injuries were mild and 96.2% of injuries were unintentional. Injury severity and intent of injury significantly varied by social determinants of health; for example, the proportion of traumatic brain injury-related healthcare visits for moderate/severe and intentional injuries was highest in areas with the lowest income quintile (13.3% and 6.1%, respectively), lowest households and dwellings stability (12.2% and 5.7%, respectively), lowest material resources (12.8% and 6.0% respectively), and highest racialized and newcomer populations (13.5% and 4.5% respectively). The percentage of traumatic brain injury-related healthcare visits for a sports-related injury significantly varied by social determinants of health; for example, the proportion of traumatic brain injury-related healthcare visits for sports-related injuries was highest among males (45.5%), those living rural areas (44.0%), and those living in areas with the highest income (47.2%), highest households and dwellings stability (44.0%), highest material resources (45.8%), and lowest racialized and newcomer populations (43.4%).
Conclusions
Characteristics of traumatic brain injury-related healthcare visits vary based on social determinants of health. Targeted prevention of traumatic brain injury beyond the sports settings, including fall prevention among young children, are encouraged, and guidelines to identify and address traumatic brain injury outside of the sports setting must be developed to support early intervention of traumatic brain injury across social determinants of health.
Citation: Chan V, Wirianto CS, Balogh R, Haarbauer-Krupa J, Escobar MD (2025) Characteristics of traumatic brain injury-related healthcare visits across social determinants of health: A population-based birth cohort study. PLoS One 20(6): e0323902. https://doi.org/10.1371/journal.pone.0323902
Editor: Eric Anthony Sribnick, Nationwide Children's Hospital, UNITED STATES OF AMERICA
Received: January 2, 2025; Accepted: April 15, 2025; Published: June 12, 2025
Copyright: © 2025 Chan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Data reported in this study are available in the ICES repository, under accession DAS 2019-695 (2021 097 025 1000). Data sharing agreements prohibit ICES from making the datasets publicly available; however, access may be granted to those who meet pre-specified criteria for confidential access.
Funding: This study was funded by the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health under Award Number R03HD104206, awarded to VC. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. URL: https://www.nichd.nih.gov/grants-contracts
Competing interests: The authors have declared that no competing interests exist.
Introduction
Traumatic brain injury (TBI) is a leading cause of death and disability worldwide (1). In 2016, there were over 27 million new cases of TBI globally, with approximately 47% of new cases occurring in those <30 years of age [1]. A population-based birth cohort of individuals born in Ontario, Canada found that 36% of individuals in this cohort sustained a TBI that required medical attention by the age of 25 years, suggesting a significant proportion of the population who will transition or have transitioned from the pediatric to the adult health system with a history of TBI [2]. These statistics suggest that research specifically on TBI in the pediatric population is critical because TBIs sustained during childhood, adolescence, and young adulthood can compromise both skills that are developing at the time of injury and skills that are yet to develop, with challenges only becoming apparent once individuals fail to meet developmental milestones [3,4]. Even mild TBI are associated with lower quality of life, poorer academic performance, reduced participation in school, and increased healthcare utilization [5–8]. TBI is also a chronic disease with lifelong consequences, including secondary health challenges such as seizures, headaches, and endocrine dysfunction [9–11]; physical and cognitive impairments such as motor dysfunction and poor memory, attention, and executive functioning [12–14]; and social, behavioural, and emotional difficulties such as mood and anxiety disorders and deficits in communication and social language [15–17].
Despite these challenges associated with TBI, significant research and knowledge gaps exist. In particular, there is limited population-based data on the characteristics of TBI-related healthcare visits among children, youth, and young adults. For example, while data on the age and sex distribution of healthcare visits are commonly reported [1], population-based data on how TBI-related healthcare visits may differ across geographic locations (e.g., rural vs. urban, neighbourhoods characteristics such as high racialized and newcomer populations) are limited. These data are important to inform the development of targeted prevention strategies that is sensitive to the differing experiences of TBI at the community level.
This study addressed the above gaps in knowledge using data from a population-based birth cohort of individuals who sustained a TBI-related healthcare visit between 2002 and 2020 in Ontario, Canada. Specifically, individuals who sustained a TBI that required medical attention in the emergency department (ED) or hospital were identified, and information on injury characteristics (i.e., severity, intent, and mechanism) were extracted. These data were compared across age at time of injury, sex, and select social determinants of health (SDoH) variables derived from geographic location of residence (i.e., rurality of residence, neighbourhood income quintile, and neighbourhood housing and dwellings, material resources, and racialized and newcomer populations characteristics) to identify similarities and differences in injury characteristics. Findings from this study provide the foundation for the co-creation of targeted prevention of TBI at the community-level.
Methods
Research ethics approval was obtained from the University Health Network. Informed consent was not obtained because only de-identified patient data was accessed for this study on July 30, 2021.
Data source & sample
The population-based birth cohort was created by linking health administrative databases held at ICES. Specifically, all records of individuals born in publicly funded hospitals in Ontario, Canada, from April 1, 1992 and March 31, 2020 were identified in the MOMBABY database (N = 3,918,768). Records with stillbirths (n = 53,293), data quality issues (e.g., missing or invalid patient ID, birth date, death date, sex, n = 208,706), and ineligible for the publicly funded Ontario Health Insurance Plan (OHIP, n = 8,009) were excluded from the study. The final sample size was 3,648,760 individuals. All individuals in the birth cohort were followed up to the end of the study period (November 20, 2020), migration out of Ontario, or death. Ontario is home to 39% of Canadians and residents of Ontario have access to a universal healthcare system that covers all medically necessary services [18].
Individuals who sustained a TBI requiring medical attention (hereafter referred to as “TBI-related healthcare visit”, N = 854,412) were identified from the birth cohort using International Classification of Diseases and Related Health Problems version 10 codes (ICD-10) [19–23]. Because data on injury characteristics are only available from April 1, 2002 and onwards in the National Ambulatory Care Reporting System (NACRS), this study focused on individuals with a TBI-related healthcare visit to the ED or hospital between April 1, 2002 and the end of study period, representing 13.7% of individuals who sustained a TBI requiring medical attention. The Registered Persons Database was used to extract SDoH variables described below to explore similarities and differences across age, sex, and geographic locations. S1 Table in S1 File lists all available databases. S2 Table in S1 File lists all ICD-10 codes used to identify TBI.
Variables
The following injury characteristics were identified: (a) injury severity, determined using the Abbreviated Injury Severity (AIS) in the Discharge Abstract Database (DAD), and using both the AIS and Glasgow Coma Scale in the NACRS [24,25]; (b) intent of injury, determined using the United States Centers for Disease Control and Prevention (CDC) Cause of Injury Matrix [26]; and (c) mechanism of injury, determined using the CDC Cause of Injury Matrix [26,27]. Sports-related injuries were also identified using the Association of Public Health Epidemiologists in Ontario categories [28].
The following SDoH variables were identified: (a) age at the time of the first TBI-related healthcare visit (hereafter referred to as the ‘index’ visit); (b) sex; (c) rurality of residence (rural vs. urban); (d) neighbourhood income quintile, and (e) neighbourhood housing and dwellings characteristic (measuring family or housing instability), determined using the Ontario Marginalization Index (ON-MARG) [29]; (f) neighbourhood material resources characteristic (measuring poverty and (in)ability for individuals and communities to access and attain basic material needs), determined using the ON-MARG [29]; and (g) neighbourhood racialized and newcomer populations characteristic (measuring recent immigrants and people belonging to a ‘visible minority’ group), determined using the ON-MARG [29]. S3 Table in S1 File lists all variables used in the study.
Data analysis
The index TBI-related healthcare visit was the first TBI-related healthcare visit identified across the NACRS, DAD, or Ontario Mental Health Reporting System (OMHRS). Descriptive statistics of frequency distributions in the form of counts and percentages were tabulated for severity of injury, intent of injury, and mechanism of injury for the index TBI-related healthcare visit across SDoH. Bonferroni-corrected chi-squared tests with significance at p < 0.0001 were applied to test for associations between SDoH variables and injury characteristics. All diagnosis fields were considered when categorizing mechanism of injury, and thus, TBI-related healthcare visits may have more than one mechanism of injury. Records with missing SDoH were removed through pairwise deletion (<2% of individuals).
Results
Over 90% of index TBI-related healthcare visits to the ED or acute care occurred before the age of 20 years. The majority (56.4%) of visits were among males and those living in an urban neighbourhood (81.6%) at the time of TBI. Sixteen percent of visits were among low-income neighbourhoods, 14.5% were among those living in neighbourhoods with the lowest housing and dwellings stability, 17.3% were among those living in neighbourhoods with the lowest material resources, and 15.5% were among those living in neighbourhoods with the highest racialized and newcomer population neighbourhood. Table 1 presents the sociodemographic distribution of the sample.
Injury Severity and Intent of Injury
Overall, 49.7% of incident TBI-related healthcare visits to the ED or acute care were mild, 5.4% moderate or severe, and 44.9% were of unspecified injury severity. Among known injury severities and individuals 0–4 years of age, 27.2% of the TBI-related health care visits were of moderate or severe injury (Fig 1a). Overall, 96.2% were unintentional injuries. However, 6.2% of TBI-related healthcare visits among individuals 15–19 years old, 11.5% among 20–24 years old, and 11.9% among 25–28 years old were intentional injuries (Fig 1b). By sex, 4.5% of TBI-related healthcare visits among males were intentional injuries compared to 2.6% among females. Injury severity and intent of injury varied by SDoH; for example, the proportion of TBI-related healthcare visits that were of moderate/severe injury severity or intentional were highest among those living in neighbourhoods characterized by low income, low households and dwellings stability, low material resources, and high racialized and newcomer population. Age, sex, income quintile, housing and dwellings, material resources, and racialized and newcomer populations were significantly associated with severity of TBI (p < 0.0001). All SDoH were significantly associated with intent of injury (p < 0.0001).
= 5,110), b) intentional (N = 3,469), and c) sports-related (N = 38,258) injuries and Social Determinants of Health Variables in Ontario, Canada, April 1, 2002 to November 20, 2020a,b,c. a The proportion of moderate to severe and intentional injuries are based on known severity and intents of injury. b Households and dwellings, material resources, and racialized and newcomer populations are based on the ON-MARG. c Bonferroni-corrected chi-square p-values: n.s. = not significant, * p < 0.0009, ** p < 0.0001, *** p < 0.00001.
Mechanism of injury of TBI-related healthcare visits to the ED or acute care
Overall, being struck by/against an object was the most common cause of TBI-related healthcare visits (44.2%), followed by falls (40.6%), motor vehicle collision (5.8%), and other (9.4%); this distribution differed by SDoH (Table 2). S4 and S5 Tables in S1 File present these data for males and females, respectively. Overall, 40.5% of incident TBI-related healthcare visits were due to sports-related injuries. Among individuals aged 10–14 years and 15–19 years, 58.3% and 49.7% of visits, respectively, were sports-related injuries (Fig 1c). Among males, 45.5% of visits were sports-related injuries, compared to 34.0% among females. As neighbourhood income quintile increased, the proportion of TBI-related healthcare visits for sports-related injuries increased from 31.3% to 47.2%. All SDoH were significantly associated with mechanism of injury (p < 0.0001).
Discussion
This population-based birth cohort study explored the injury characteristics for individuals who experienced a TBI-related healthcare visit to the ED or hospital. Findings from this study identified opportunities for targeted prevention of TBI and early intervention for TBI care across SDoH. In particular, current prevention and education measures are often focused on sport-related injuries [30] and may not be applicable to the general population. In this population-based birth cohort, only 1 in 3 TBI-related healthcare visits among females were sports-related and, consistent with recent research on mechanisms of concussion among children [31], a minority of TBI-related healthcare visits among children under the age of 10 years were sports-reported. Furthermore, a minority of TBI-related healthcare visits among individuals living in areas with the lowest income, lowest households and dwellings stability, lowest material resources, and highest racialized and newcomer population were sports-related. Conversely, the proportion of TBI-related healthcare visits among individuals in these neighbourhoods that were of moderate/severe and/or intentional injury was higher than that of individuals living in other neighbourhoods. Complementing recommendations from the Lancet Neurology Commission on TBI [32], in-depth investigation into the context of TBI among young females outside of the sports-context, particularly outside of team sports, is encouraged to inform targeted prevention of TBI among these individuals. This study also further highlights the importance of targeted falls prevention in young children [33], as the majority of TBI-related healthcare visits among children 0–4 years of age were fall-related.
In addition, given the importance of early intervention after sustaining a TBI [34], appropriate healthcare and supports within schools, communities, and the workplace must be available to address adverse outcomes associated with TBI. To date, most guidelines on TBI focus on those who sustain a TBI in the sports or school settings [35] and there is limited consideration for underserved populations in rehabilitation or clinical practice guidelines for TBI [36–38]. This study provided evidence that the proportion of TBI-related healthcare visits that were of moderate or severe or intentional injury were higher among individuals living in areas with the lowest income, lowest households and dwellings stability, lowest material resources, and highest racialized and newcomer population marginalized neighbourhoods. However, the proportion of TBI-related ED and acute care visits that were due to sports-related injuries were higher among individuals living in areas with the highest income, with the highest households and dwellings stability, highest material resources, and lowest racialized and newcomer population. As such, identification and management of TBI for underserved populations and individuals who sustain a TBI outside of the sports setting is important and encouraged to support early intervention of TBI for all individuals across diverse SDoH.
Strengths and limitations
We acknowledge the following limitations. Only patients who sought and/or received medical care in a publicly funded hospital for a TBI in the ED or acute care were included in this study. As such, individuals with a TBI who did not seek medical care or were not coded with a TBI diagnosis code were not captured in this study. We further acknowledge limitations associated with the use of health administrative data for research. For example, because health administrative data were not collected for the purpose of research, data of interest in TBI research are not available or are limited. Specifically, injury severity data are only available for 55% of the sample, as the remaining visits were coded as ‘unspecified injury to the head’. As a result, findings from this study may represent more severe TBIs that received medical attention in the ED or acute care setting and may not be generalizable to all TBI, particular those who are only seen by primary care physicians. Similarly, we acknowledge that data from primary care physician visits are important to include, as research has found that a significant proportion of TBIs are seen in primary care settings [2]. Unfortunately, the health administrative database that captures primary care visits in Ontario, Canada, only allow for the coding of the medical reason of visit, and not details of the visit. Efforts to asses the characteristics of TBIs seen by primary care physicians are encouraged to inform opportunities to support targeted prevention and early intervention of TBI.
Despite these limitations, our study benefits from several strengths. Our study is based on a population-based birth cohort and all individuals in this sample receive medically necessary health services. The collection of these data is also mandatory in the province of Ontario in Canada. As such, all TBI-related healthcare visits to the ED or acute care setting are captured, and all data on their injury characteristics, where collected, are reported. The sample are individuals born from 1992, representing TBI-related healthcare visits in more recent decades compared to existing injury characteristics obtained from published birth cohort studies, such as the 1966 North Finland Birth Cohort [39], the 1987 Finnish Birth Cohort [40], and the 1973–1985 Swedish Birth Cohort [41]. Select SDoH data available in this birth cohort were also integrated into the analysis, providing foundational data to explore the relationship between injury characteristics and SDoH.
Conclusion
This population-based birth cohort study addressed existing gaps in knowledge and research on TBI to provide foundational data to inform the co-creation of targeted prevention of TBI at the community-level. Findings showed a minority of females, children younger than age 10 years, and individuals living in areas with the lowest income, lowest households and dwellings stability, lowest material resources, and highest racialized and newcomer population sustained a sports-related TBI. Targeted prevention of TBI in addition to the sports settings, including falls prevention among young children, are encouraged, and guidelines to identify and address TBI outside of the sports setting must be developed to support early intervention of TBI across SDoH.
Supporting information
S1 File. S1 Table.
Data sources for the population-based birth cohort. S2 Table. International Classification of Diseases and Related Health Problems (ICD) Version 10 Codes for Traumatic Brain Injury. S3 Table. Definition of Variables Used in the Study. S4 Table. Mechanism of Traumatic Brain Injury Among Males by Social Determinants of Health Variables in Ontario, Canada, April 1, 2002 to November 20, 2020 (N = 53,236)a,b. S5 Table. Mechanism of Traumatic Brain Injury Among Females by Social Determinants of Health Variables in Ontario, Canada, April 1, 2002 to November 20, 2020 (N=41,206) a,b. S6 Table. Severity of Injury by Social Determinants of Health Variables in Ontario, Canada, April 1, 2002 to November 20, 2020 (N = 52,049)a,b,c. S7 Table. Intent of Injury by Social Determinants of Health Variables in Ontario, Canada, April 1, 2002 to November 20, 2020 (N = 94,588)a,b,c. S8 Table. Sport-Related Injuries by Social Determinants of Health Variables in Ontario, Canada, April 1, 2002 to November 20, 2020 (N = 94,514)a,b.
https://doi.org/10.1371/journal.pone.0323902.s001
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Acknowledgments
This study utilized the ICES Data & Analytic Services (DAS) and their associated databases for analysis. De-identified data from the ICES Data Repository was used. The Data Repository is managed by ICES and their funders and partners: Canada’s Strategy for Patient-Oriented Research (SPOR), the Ontario SPOR Support Unit, the Canadian Institutes of Health Research and the Government of Ontario. The reported analysis, results, opinions, and conclusions represent the work of the authors.
References
- 1. James S, Theadom A, Ellenbogen R, Bannick M, Montjoy-Venning W, Lucchesi L. Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019;18(1):56–87.
- 2. Chan V, Wirianto CS, Balogh R, Haarbauer-Krupa J, Escobar MD. Pediatric Traumatic Brain Injury and Social Determinants of Health. JAMA Pediatr. 2025May 1;179(5):573-575. doi:https://doi.org/10.1001/jamapediatrics.2025.0143. pmid:40163161
- 3. Daneshvar DH, Riley DO, Nowinski CJ, McKee AC, Stern RA, Cantu RC. Long-term consequences: effects on normal development profile after concussion. Phys Med Rehabil Clin N Am. 2011;22(4):683–700, ix. pmid:22050943
- 4. Crowe LM, Catroppa C, Babl FE, Rosenfeld JV, Anderson V. Timing of traumatic brain injury in childhood and intellectual outcome. J Pediatr Psychol. 2012;37(7):745–54. pmid:22669504
- 5. Graves JM, Rivara FP, Vavilala MS. Health Care Costs 1 Year After Pediatric Traumatic Brain Injury. Am J Public Health. 2015;105(10):e35-41. pmid:26270293
- 6. Gerrard-Morris A, Taylor HG, Yeates KO, Walz NC, Stancin T, Minich N, et al. Cognitive development after traumatic brain injury in young children. J Int Neuropsychol Soc. 2010;16(1):157–68. pmid:19849883
- 7. Bedell GM, Dumas HM. Social participation of children and youth with acquired brain injuries discharged from inpatient rehabilitation: a follow-up study. Brain Inj. 2004;18(1):65–82. pmid:14660237
- 8. Kingery K, Narad M, Taylor H, Yeates K, Stancin T, Wade S. Do children who sustain traumatic brain injury in early childhood need and receive academic services 7 years after injury?. J Dev Behav Pediatr. 2017;38(9):728–35.
- 9. Reifschneider K, Auble BA, Rose SR. Update of Endocrine Dysfunction following Pediatric Traumatic Brain Injury. J Clin Med. 2015;4(8):1536–60. pmid:26287247
- 10. Choe MC, Blume HK. Pediatric Posttraumatic Headache: A Review. J Child Neurol. 2016;31(1):76–85. pmid:25670632
- 11. Rumalla K, Smith KA, Letchuman V, Gandham M, Kombathula R, Arnold PM. Nationwide incidence and risk factors for posttraumatic seizures in children with traumatic brain injury. J Neurosurg Pediatr. 2018;22(6):684–93. pmid:30239282
- 12. Kuhtz-Buschbeck JP, Hoppe B, Gölge M, Dreesmann M, Damm-Stünitz U, Ritz A. Sensorimotor recovery in children after traumatic brain injury: analyses of gait, gross motor, and fine motor skills. Dev Med Child Neurol. 2003;45(12).
- 13.
Cristofori I, Grafman J. Executive functions after traumatic brain injury. Executive functions in health and disease. Amsterdam: Elsevier; 2017. p. 421–43.
- 14. Levin HS, Hanten G, Chang C-C, Zhang L, Schachar R, Ewing-Cobbs L, et al. Working memory after traumatic brain injury in children. Ann Neurol. 2002;52(1):82–8. pmid:12112051
- 15. Rosema S, Crowe L, Anderson V. Social function in children and adolescents after traumatic brain injury: a systematic review 1989-2011. J Neurotrauma. 2012;29(7):1277–91. pmid:22260408
- 16. Yeates KO, Bigler ED, Dennis M, Gerhardt CA, Rubin KH, Stancin T, et al. Social outcomes in childhood brain disorder: a heuristic integration of social neuroscience and developmental psychology. Psychol Bull. 2007;133(3):535–56. pmid:17469991
- 17. Max JE. Neuropsychiatry of pediatric traumatic brain injury. Psychiatr Clin North Am. 2014;37(1):125–40. pmid:24529428
- 18.
Statistics Canada. Table 17-10-0009-01 Population estimates, quarterly.
- 19. Chan V, Mann RE, Pole JD, Colantonio A. Children and youth with “unspecified injury to the head”: implications for traumatic brain injury research and surveillance. Emerg Themes Epidemiol. 2015;12:9. pmid:26113870
- 20.
Ng R, Maxwell C, Yates E, Nylen K, Antflick J, Jetté N. Brain disorders in Ontario: prevalence, incidence and costs from health administrative data. ICES. 2015.
- 21. Chen AY, Colantonio A. Defining neurotrauma in administrative data using the international classification of diseases tenth revision. Emerg Themes Epidemiol. 2011;8(1):4.
- 22. Hedegaard H, Johnson RL, Warner M, Chen LH, Annest JL. Proposed Framework for Presenting Injury Data Using the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) Diagnosis Codes. National health statistics reports. 2016 Jan 22;(89):1–20.
- 23. Gabella BA, Hathaway JE, Hume B, Johnson J, Costich JF, Slavova S, et al. Multisite medical record review of emergency department visits for traumatic brain injury. Inj Prev. 2021;27(S1):i42–8. pmid:33674332
- 24.
About AIS [Internet]. Association for the Advancement of Automotive Medicine. [cited 2023 Apr 18]. Available from: https://www.aaam.org/abbreviated-injury-scale-ais/
- 25.
Jain S, Iverson L. Glasgow coma scale. StatPearls Publishing. 2023.
- 26.
ICD Framework: External Cause of Injury Mortality Matrix [Internet]. Centers for Disease Control and Prevention. [cited 2023 Apr 18]. Available from: https://www.cdc.gov/nchs/injury/ice/matrix10.htm
- 27. Hedegaard H, Johnson R, Garnett M, Thomas K. The international classification of diseases, 10th revision, clinical modification (icd-10-cm) external cause-of-injury framework for categorizing mechanism and intent of injury. Nat Health Stat Rep. 2019;2019(136):1–22.
- 28.
Recommended ICD-10-CA Codes for Injury Core Indicators [Internet]. APHEO. [cited 2023 Apr 18]. Available from: https://core.apheo.ca/index.php?pid=306
- 29.
Ontario Marginalization Index (ON-Marg) [Internet]. Public Health Ontario. [cited 2020 Feb 18]. Available from: https://www.publichealthontario.ca/en/data-and-analysis/health-equity/ontario-marginalization-index
- 30. Mallory KD, Saly L, Hickling A, Colquhoun H, Kroshus E, Reed N. Concussion education in the school setting: a scoping review. J Sch Health. 2022;92(6):605–18.
- 31. Haarbauer-Krupa J, Arbogast KB, Metzger KB, Greenspan AI, Kessler R, Curry AE, et al. Variations in Mechanisms of Injury for Children with Concussion. J Pediatr. 2018;197:241-248.e1. pmid:29627189
- 32. Maas AIR, Menon DK, Manley GT, Abrams M, Åkerlund C, Andelic N, et al. Traumatic brain injury: progress and challenges in prevention, clinical care, and research. Lancet Neurol. 2022;21(11):1004–60. pmid:36183712
- 33. Haarbauer-Krupa J, Haileyesus T, Gilchrist J, Mack KA, Law CS, Joseph A. Fall-related traumatic brain injury in children ages 0-4 years. J Safety Res. 2019;70:127–33. pmid:31847987
- 34. van Heugten C, Renaud I, Resch C. The role of early intervention in improving the level of activities and participation in youths after mild traumatic brain injury: a scoping review. Concussion. 2017;2(3):CNC38. pmid:30202580
- 35. Silverberg ND, Iaccarino MA, Panenka WJ, Iverson GL, McCulloch KL, Dams-O’Connor K, et al. Management of Concussion and Mild Traumatic Brain Injury: A Synthesis of Practice Guidelines. Arch Phys Med Rehabil. 2020;101(2):382–93. pmid:31654620
- 36. Chan V, Estrella M, Babineau J, Colantonio A. A systematic review protocol for assessing equity in clinical practice guidelines for traumatic brain injury and homelessness. Front Med. 2022;9.
- 37. Chan V, Estrella M, Baddeliyanage R, Shah R, Babineau J, Colantonio A. Rehabilitation among individuals experiencing homelessness and traumatic brain injury: a scoping review. Front Med. 2022;9.
- 38. Chan V, Estrella M, Syed S, Lopez A, Shah R, Colclough Z. Rehabilitation among individuals with traumatic brain injury who intersect with the criminal justice system: A scoping review. Front Neurol. 2023;13.
- 39. Winqvist S, Lehtilahti M, Jokelainen J, Luukinen H, Hillbom M. Traumatic brain injuries in children and young adults: a birth cohort study from northern Finland. Neuroepidemiology. 2007;29(1–2):136–42. pmid:17989501
- 40. Kinnunen L, Niemelä M, Hakko H, Miettunen J, Merikukka M, Karttunen V, et al. Psychiatric diagnoses of children affected by their parents’ traumatic brain injury: the 1987 Finnish Birth Cohort study. Brain Inj. 2018;32(7):933–40. pmid:29738275
- 41. Sariaslan A, Sharp DJ, D’Onofrio BM, Larsson H, Fazel S. Long-term outcomes associated with traumatic brain injury in childhood and adolescence: a nationwide swedish cohort study of a wide range of medical and social outcomes. PLoS Med. 2016;13(8):e1002103. pmid:27552147