Grant: Catalyst Grant: Alcohol research to inform health policies and interventions
Centre for Addiction and Mental Health (Toronto)
$100,000.00
Predicting Response to Alcohol Use Disorder Treatment Using the Addictions Neuroclinical Assessment
FY 2021-22
Summary
Alcohol use is a leading cause of death and disability in Canada. However, treatment of alcohol addiction, also known as alcohol use disorder (AUD), is challenging, with high rates of relapse to heavy drinking following treatment. At present, we do not know which individuals are most likely to benefit from existing treatment for AUD. This study proposes using a framework known as the Addictions Neuroclinical Assessment (ANA) to determine whether it can be used to better understand who responds to a standardized intervention for AUD. ANA consists of measures that assess three neurobiological domains that are thought to affect substance use: executive function, negative emotionality, and incentive salience. In this study, we will recruit 64 individuals with AUD and assess each of these domains prior to treatment. Following assessment, each participant will undergo a 12-week treatment program in which they receive weekly manualized group psychotherapy in addition to anticraving medication (prescribed using a standardized algorithm). We will collect preliminary data on whether differences in each domain predict treatment outcomes over the 12-week program. Results from this project will help healthcare decision makers and clinicians determine which patients are likely to benefit most from existing treatments and stimulate the development of new targeted treatments for those who do not respond to current evidence-based care.
Department
Program
Catalyst Grant: Alcohol research to inform health policies and interventions
Location
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
452284
Name
Sloan Matthew E
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Clinical
Prcname2
Catalyst Grant: Alcohol research to inform health policies and interventions
Projecttitle
Predicting Response to Alcohol Use Disorder Treatment Using the Addictions Neuroclinical Assessment
Programtype2
Operating Grants
Orgnameinp2
Centre for Addiction and Mental Health (Toronto)
Cihramount2
$100,000
Cihrequipment2
$0
Programname2
Catalyst Grant: Alcohol research to inform health policies and interventions
Keyworddelim
Alcohol Use Disorder
Abstract
Alcohol use is a leading cause of death and disability in Canada. However, treatment of alcohol addiction, also known as alcohol use disorder (AUD), is challenging, with high rates of relapse to heavy drinking following treatment. At present, we do not know which individuals are most likely to benefit from existing treatment for AUD. This study proposes using a framework known as the Addictions Neuroclinical Assessment (ANA) to determine whether it can be used to better understand who responds to a standardized intervention for AUD. ANA consists of measures that assess three neurobiological domains that are thought to affect substance use: executive function, negative emotionality, and incentive salience. In this study, we will recruit 64 individuals with AUD and assess each of these domains prior to treatment. Following assessment, each participant will undergo a 12-week treatment program in which they receive weekly manualized group psychotherapy in addition to anticraving medication (prescribed using a standardized algorithm). We will collect preliminary data on whether differences in each domain predict treatment outcomes over the 12-week program. Results from this project will help healthcare decision makers and clinicians determine which patients are likely to benefit most from existing treatments and stimulate the development of new targeted treatments for those who do not respond to current evidence-based care.
Competitiondate
202109
Approvedterm2
1 yr 0 mth
Pinamesdelim
Sloan, Matthew E; Buckley, Leslie
Approvedterm
1 an 0 mois
Cihrcontribution2
~ $100,000~ $0~