Brain Injury and Big Data

Dr. Angela Colantonio Vincy Chan

Dr. Shiva Amiri

www.abiresearch.utoronto.ca

IRSC Chaire de Recherche: Le genre, le travail et la santé

• Explore how information is stored and processed in neuronal networks

• Innovate neuroimaging technology to construct brain maps and understand brain activity

• Uncover mechanisms behind neurological and psychiatric conditions

• Discover information that could address rehabilitating diseases and disorders

Main Research Objectives

• An extensible, scalable informatics platform for TBI relevant imaging, assessment, genomics, and other data types

• Free resource to the TBI community designed to accelerate comparative effectiveness research on brain injury diagnosis and treatment

• Sharing data, methodologies, and associated tools can accelerate research progress by allowing re-analysis of data, re-aggregation, integration, and rigorous comparison with other data, tools, and methods

Analytics and Business

Patient Profiles in Canada of Persons with Traumatic Brain Injury Across

Clinical Settings: The Ideas Project

Angela Colantonio, Jayden Hsueh, Josian Petgrave, John Hirdes, Katherine Berg

Journal of Head Trauma Rehabilitation (in press)

www.abiresearch.utoronto.ca

• To examine and compare demographic and clinical

profile of adults with TBI enrolled in Canadian home care, mental health, nursing home, and complex continuing care inpatient settings

Aim

• Cross-sectional profile of persons with TBI, utilizing Resident Assessment Instruments information mandated in specific jurisdictions in Canada • Home Care (RAI-HC), n=520,455 • Mental Health (RAI-MH), n=114,158 • Nursing Home, n=188,450 • Complex Continuing Care (RAI-MDS 2.0), n=181,682

*All data collection performed as part of the Innovations in Data, Evidence and Applications for Persons with Neurological Conditions (IDEAs-PNC) project funded by the Public Health Agency of Canada

Methods

Figure 1: Age Distribution in Nursing Home

TBI: 61% males in nursing homes

Figure 2: Age Distribution Complex Continuing Care

TBI: 62% males in complex continuing care

Complex Continuing Care: Comorbid Health Conditions

Psychotropic Drug Prescribed in Nursing Home

Thank you!

• For more information: • www.abiresearch.utoronto.ca

Support from: • Canadian Institutes for Health Research (CIHR) Chair in Gender,

Work and Health (#CGW-126580) • Saunderson Family Chair in Acquired Brain Injury Research, Toronto

Rehabilitation Institute, UHN (TRI-UHN) • Public Health Agency of Canada • Grant from MOHLTC to TRI-UHN • Toronto Rehabilitation Foundation

Brain Injury and Big Data: Trainee Perspective

Vincy Chan, MPH, PhD Candidate University of Toronto & Toronto Rehabilitation Institute, UHN

www.abiresearch.utoronto.ca

• Population based, large sample size • Comprehensive (do not rely on single database) • Cost-effective & feasible • Data can be linked to other databases to inform

a number of research question • Information on healthcare use across the continuum of

care

Benefits

• Initial data request may require some time • Some variables of interest not available • Completion rates for some useful data elements

(e.g., GCS) are low • Delay in availability of data (e.g., latest fiscal

year of data may not be available immediately) • Privacy issues

Challenges

Examples of Work

0

20

40

60

80

100

120

Admission*** Discharge*** Absolute Change

Ave

rage

FIM

™ S

core

TBI Statistical Significance: ***p<.001

<65Years

65+Years

TBI: Similar Gains in FIM™ Score as Younger Adults

Thank you!

• For more information: • www.abiresearch.utoronto.ca

Vincy Chan: vincy.chan@uhn.ca

Support from: • Canadian Institutes for Health Research (CIHR) • Ontario Neurotrauma Foundation • Brain Canada & CIBC • Pediatric Oncology Group of Ontario