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Grant: Travel Awards - Institute Community Support

Centre for Addiction and Mental Health (Toronto)

$1,500.00

Technology based Suicide Prediction and Prevention in Canada

FY 2017-18

Summary
Suicide is a major public health concern. It is the leading cause of all injury deaths in Canada, having a very high prevalence among mental health patients. My research presents technological advances in two major areas surrounding suicide, namely prevention and prediction. First, I present my findings from a systematic review of mobile applications and websites available for suicide prevention within Canada. I report on the quality of these e-health interventions that are often the first line of contact in many patients contemplating suicide, and discuss any opportunities for improvement. Next, I present preliminary performance results of a predictive algorithm developed for suicidal patients, to see how well machine learning algorithm that was developed in a U.S. veteran population performs in a Canadian mental health patient population. Both these advances in technology can help pave the path to improved public health informatics interventions both within Canada and globally.
Program
Travel Awards - Institute Community Support
Location
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
383006
Name
Sequeira Lydia A
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Health Services and Policy Research
Theme2
Health systems / services
Prcname2
Institute of Health Services and Policy Research
Projecttitle
Technology based Suicide Prediction and Prevention in Canada
Programtype2
Undefined
Orgnameinp2
Centre for Addiction and Mental Health (Toronto)
Cihramount2
$1,500
Cihrequipment2
$0
Programname2
Travel Awards - Institute Community Support
Keyworddelim
Ics Travel Awards
Abstract
Suicide is a major public health concern. It is the leading cause of all injury deaths in Canada, having a very high prevalence among mental health patients. My research presents technological advances in two major areas surrounding suicide, namely prevention and prediction. First, I present my findings from a systematic review of mobile applications and websites available for suicide prevention within Canada. I report on the quality of these e-health interventions that are often the first line of contact in many patients contemplating suicide, and discuss any opportunities for improvement. Next, I present preliminary performance results of a predictive algorithm developed for suicidal patients, to see how well machine learning algorithm that was developed in a U.S. veteran population performs in a Canadian mental health patient population. Both these advances in technology can help pave the path to improved public health informatics interventions both within Canada and globally.
Competitiondate
201802
Approvedterm2
1 yr 0 mth
Pinamesdelim
Sequeira, Lydia A
Approvedterm
1 an 0 mois
Cihrcontribution2
Inst of Hlth Serv & Policy Res~ $1,500~ $0~
Centre for Addiction and Mental Health (Toronto) - $1… | Canada Spends