December 6, 2021 - December 9, 2021
Budget Impact Analysis II: Applications and Design Issues
LEVEL: Intermediate
TRACK: Study Approaches
LENGTH: 4 Hours | Course runs 3 days
PREREQUISITE: Participation in the ISPOR short course, “Budget Impact Analysis I: A 6-Step Approach,” or equivalent knowledge, is recommended. Working knowledge of Microsoft Excel is required.
Registration Coming Soon
Day 1:
10:00AM-12:00PM Eastern Standard Time (EST)
3:00PM-5:00PM Coordinated Universal Time (UTC)
4:00PM-6:00PM Central European Time (CET)
Day 2 Homework Support (Optional):
10:00AM-11:00AM Eastern Standard Time (EST)
3:00PM-4:00PM Coordinated Universal Time (UTC)
4:00PM-5:00PM Central European Time (CET)
Day 3:
10:00AM-12:00PM Eastern Standard Time (EST)
3:00PM-5:00PM Coordinated Universal Time (UTC)
4:00PM-6:00PM Central European Time (CET)
Click for time zone conversion
DESCRIPTION
This course covers the concrete application of the 6-step approach for developing budget impact analyses and provides hands-on learning with two different budget impact models programmed in Excel. The course will review the basics of budget impact analysis, interpretation of results, simplicity versus accuracy and face validity, and how budget impact analyses are used by payers and other decision makers. Technical topics will include static versus dynamic budget impact models, considerations for device and diagnostic technologies, and realistic features such as patient copayments and use of generics. The instructors will walk through 2 different budget impact analyses programmed in Excel (one static and one dynamic) and work with participants during hands-on exercises to enhance these models. The instructors will also review good practices for building budget impact models and provide a number of Excel tips. The Excel-based budget impact models used for the course will be provided to participants in advance of the conference. This course is designed for those who have basic knowledge of budget impact analyses and desire exposure to these analyses in Excel. Participants who wish to gain hands-on experience must bring their personal laptops with Microsoft Excel for Windows installed.
Stephanie Earnshaw, PhD, MS
Senior Vice President, Health Economics
RTI Health Solutions
Research Triangle Park, NC, USA
Anita J. Brogan, PhD, MSc
Head, Decision Analytic Modeling, Health Economics
RTI Health Solutions
Manchester, UK
Thor-Henrik Brodtkorb, PhD
Senior Director, Health Economics
RTI Health Solutions
Ljungskile, Sweden
Ashley E. Davis, PhD, MSc
Director, Health Economics
RTI Health Solutions
Research Triangle Park, NC, USA
Basic Schedule:
Class Time: DAY 1: 2 hours content + Homework
DAY 2: 1 hour "Office Hours" Homework Support (optional)
DAY 3: 2 hours of content