CB 399: Public Health 101: Introduction to Decision Analysis and Cost-effectiveness Analysis for Public Health and Clinical Decision Making

Public Health 101: Introduction to Decision Analysis and Cost-effectiveness Analysis for Public Health and Clinical Decision Making 

Course Instructors: Christian Suharlim, MD, MPH; Emily A. Burger, MPhil, PhD; Stephen Sy, SM

Curriculum Fellow: Bradley Coleman, bradley_coleman@hms.harvard.edu

Course Director: Eric Rubin MD, PhD

RSVP HERE: http://goo.gl/forms/m8g3pGGMvi

This course introduces and explores two related topics: decision science and cost-effectiveness analysis. Decision science is the study of how people make decisions and how people can make better decisions in the presence of uncertainty, complexity and competing values. Decision-analytic methods utilize an interdisciplinary approach that provides a structured and systematic method to inform complex decisions by enumerating the tradeoffs that accompany any particular action or inaction. Decision science has been applied in several fields, including business, military, clinical, and public health, including healthcare and the environment. Cost-effectiveness analyses use decision-analytic methods to inform policies and practices by systematically integrating scientific evidence with explicit consideration of individual and societal values for outcomes including mortality, morbidity (e.g., quality of life), resource use and monetary costs. Increasingly, decisions about the allocation of health-related technologies are incorporating these value-for-money and efficiency arguments. During the first session, we will introduce the core concepts of decision science, use common metrics to build a decision tree and explore the critical components of a cost-effectiveness analysis. These concepts will be applied in several hands-on analyses using decision-analytic software (Treeageā„¢ Software (v2015)) during session 2.

Course objectives:

This course is designed to provide an introduction to the methods and applications of decision analysis and cost-effectiveness analysis. Upon completion of this Nanocourse, participants are expected to be able to:

  • Understand the importance (and limitations) of decision analysis in clinical and public health decision making
  • Identify elements of a decision problem and the information required for decision analysis in clinical and public health decision making
  • Apply decision tree techniques to aid clinical and public health decision making
  • Incorporate diagnostic test information and enumerate the health and economic consequences of alternative health interventions
  • Understand the basic concepts of economic evaluation and the importance of cost-effectiveness analysis
  • Identify components of a cost-effectiveness analysis

 

Schedule:

First Session: Tuesday April 19, 1:30 - 4:30 pm. Location: TMEC 246 Walter Amphitheater 

Second Session: Tuesday April 26, 1:30 - 4:30 pm. Location: Armenise 125 (D) Amphitheater

DROP DEADLINE: Tuesday, April 12, 2016

 

AUDITORS (Post-Docs, Faculty, or Staff) DO NOT NEED TO SIGN UP TO ATTEND THE 1st SESSION.  PLEASE DO NOT ENROLL. 

THOSE TAKING THE NANOCOURSE FOR ACADEMIC CREDIT MUST ENROLL THROUGH THIS WEBSITE (LOGIN AND ENROLL BELOW).