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Grant: Travel Awards - Institute Community Support

Université Laval

$1,340.00

Optimizing the use of real-world cost, utilization and cost-effectiveness data when conducting health technology reassessments

FY 2016-17

Summary
Economic evaluations and health technology assessments (HTA) play a pivotal role in the adoption and reimbursement of novel health technologies. However, even when conducted under the most optimal conditions, decision makers may lack information regarding the real-world effectiveness, utilization and cost-effectiveness of the new health technologies they are evaluating. A health technology reassessment (HTR) is a novel approach which recognizes that certain degrees of uncertainty may have been present when the initial HTA was conducted and that real-world utilization, effectiveness and costing data may address this uncertainty. HTR may therefore reduce the level of uncertainty present regarding key points of the economic evaluation and may identify discrepancies between the predicted and actual use of adopted technologies within a jurisdiction. The information which is acquired within the HTR can then be conveyed to decision makers in order to optimize the future use of the re-examined health technologies. Despite the great value of HTR, its use remains relatively limited due to its relatively novel nature and the added methodological complexity associated with this approach. My research program focuses on two intertwined components of the HTR process: 1) a methodological component aimed at reducing the risk of bias, mainly confounding bias, when using observational data within an HTR and 2) an applied component aimed at optimizing the interpretation and dissemination of results obtained within an HTR. By combining both components, my research program will more clearly identify how to address issues present when conducting an HTR and will improve the overall quality of future HTR with the ultimate goal of optimizing resource utilization within the Canadian healthcare system.
Program
Travel Awards - Institute Community Support
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
364576
Name
Guertin Jason R
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Population and Public Health
Theme2
Not applicable / Specified
Prcname2
Starting Investigors Workshop - IPPH
Projecttitle
Optimizing the use of real-world cost, utilization and cost-effectiveness data when conducting health technology reassessments
Programtype2
Undefined
Orgnameinp2
Université Laval
Cihramount2
$1,340
Cihrequipment2
$0
Programname2
Travel Awards - Institute Community Support
Keyworddelim
Ics Travel Awards
Abstract
Economic evaluations and health technology assessments (HTA) play a pivotal role in the adoption and reimbursement of novel health technologies. However, even when conducted under the most optimal conditions, decision makers may lack information regarding the real-world effectiveness, utilization and cost-effectiveness of the new health technologies they are evaluating. A health technology reassessment (HTR) is a novel approach which recognizes that certain degrees of uncertainty may have been present when the initial HTA was conducted and that real-world utilization, effectiveness and costing data may address this uncertainty. HTR may therefore reduce the level of uncertainty present regarding key points of the economic evaluation and may identify discrepancies between the predicted and actual use of adopted technologies within a jurisdiction. The information which is acquired within the HTR can then be conveyed to decision makers in order to optimize the future use of the re-examined health technologies. Despite the great value of HTR, its use remains relatively limited due to its relatively novel nature and the added methodological complexity associated with this approach. My research program focuses on two intertwined components of the HTR process: 1) a methodological component aimed at reducing the risk of bias, mainly confounding bias, when using observational data within an HTR and 2) an applied component aimed at optimizing the interpretation and dissemination of results obtained within an HTR. By combining both components, my research program will more clearly identify how to address issues present when conducting an HTR and will improve the overall quality of future HTR with the ultimate goal of optimizing resource utilization within the Canadian healthcare system.
Competitiondate
201701
Approvedterm2
1 yr 0 mth
Pinamesdelim
Guertin, Jason R
Approvedterm
1 an 0 mois
Cihrcontribution2
Inst of Population &Publ Hlth~ $1,340~ $0~