Empowering Healthcare Decision-Making: Leveraging Standardized Template for Enhanced Reliability and Efficiency in Budget Impact Analysis by Health Technology Assessment Agency
Author(s)
Loïg Gaugain, MSc1, Ludovick Larocque-Laplante, MSc1, Patrick Dufort, Master of economics2;
1Institut national d'excellence en santé et en services sociaux, Montréal, QC, Canada, 2Institut national d'excellence en santé et en services sociaux, Québec, QC, Canada
1Institut national d'excellence en santé et en services sociaux, Montréal, QC, Canada, 2Institut national d'excellence en santé et en services sociaux, Québec, QC, Canada
Presentation Documents
OBJECTIVES: Budget Impact Analysis (BIA) is a pivotal tool for healthcare decision-makers, supporting the assessment of the financial implications associated with the reimbursement of new healthcare interventions. However, the absence of standardized templates for BIAs may lead to methodological variability and inconsistent outcomes, which limit stakeholders' ability to confidently assess the financial impact of new interventions and hinder effective reimbursement decision-making.
METHODS: In early 2023, the Institut national d’excellence en santé et services sociaux (INESSS), in Québec, Canada, developed a standardized BIA template for internal use with the aim of improving consistency and usefulness. This flexible tool draws on the most recent guidelines for economic evaluations and embodies current best practices. Notably, the template includes two key advanced features: 1) the continuous integration of newly treated patients throughout the years, and 2) time-to-event data that inform the treatment sequence through health state occupancy. These functionalities allow for a dynamic assessment that reflects real-time patient influx and discontinuation throughout the time horizon, providing a more detailed and realistic representation of the anticipated market integration and associated costs.
RESULTS: Over two years of application, INESSS has observed significant improvements in the reliability, consistency, and time efficiency of its BIA assessments. This case study illustrates the practical benefits of standardized templates for economic evaluations, demonstrating that a shift toward standardized methodologies enhances the credibility, relevance, and comparability of BIAs. This, in turn, supports more informed and effective healthcare resource allocation.
CONCLUSIONS: The standardized approach reduces methodological variances ensuring more robust and comparable analyses across diverse healthcare interventions. This approach not only increases the reliability of decision-making but also facilitates evidence-based reimbursement strategies.
METHODS: In early 2023, the Institut national d’excellence en santé et services sociaux (INESSS), in Québec, Canada, developed a standardized BIA template for internal use with the aim of improving consistency and usefulness. This flexible tool draws on the most recent guidelines for economic evaluations and embodies current best practices. Notably, the template includes two key advanced features: 1) the continuous integration of newly treated patients throughout the years, and 2) time-to-event data that inform the treatment sequence through health state occupancy. These functionalities allow for a dynamic assessment that reflects real-time patient influx and discontinuation throughout the time horizon, providing a more detailed and realistic representation of the anticipated market integration and associated costs.
RESULTS: Over two years of application, INESSS has observed significant improvements in the reliability, consistency, and time efficiency of its BIA assessments. This case study illustrates the practical benefits of standardized templates for economic evaluations, demonstrating that a shift toward standardized methodologies enhances the credibility, relevance, and comparability of BIAs. This, in turn, supports more informed and effective healthcare resource allocation.
CONCLUSIONS: The standardized approach reduces methodological variances ensuring more robust and comparable analyses across diverse healthcare interventions. This approach not only increases the reliability of decision-making but also facilitates evidence-based reimbursement strategies.
Conference/Value in Health Info
2025-05, ISPOR 2025, Montréal, Quebec, CA
Value in Health, Volume 28, Issue S1
Code
HTA14
Topic
Health Technology Assessment
Topic Subcategory
Decision & Deliberative Processes
Disease
SDC: Cardiovascular Disorders (including MI, Stroke, Circulatory), SDC: Diabetes/Endocrine/Metabolic Disorders (including obesity), SDC: Oncology