Session Details

FD1: Using Stated-Preferences Methods: From Patients to Policy Makers

(Event: SMDM 40th Annual Meeting: Montreal, QC, Canada)

Oct 14, 2018 9:00AM - Oct 14, 2018 5:30PM

Session Type: Short Course- Full Day

Description

Background

There is a growing emphasis on understanding the priorities and preferences of patients and other stakeholders in health and medicine. Stated-preference methods are increasingly used to inform decision making in variety of health care settings (e.g. drug development, clinical trial design, regulatory assessment, value assessment/health technology assess, shared decision making etc.). Several initiatives are now exploring the use of different stated-preference methods to inform decision making throughout the entire product lifecycle. Identification of the appropriate stated-preference method requires a thorough understanding of the research question and study objective. To ensure valid and reliable results, good research practices in the development, design, conduct, analysis, and interpretation of the methods need to be applied. While methods guidance (and previous short courses) have focused on conjoint analysis and discrete choice experiments (DCE), a larger range of experimental and non-experimental stated-preference methods can be (and have been) used in health applications.

Course Type

Full Day

Course Level

Beginner

Format Requirements

This course will use lectures, case studies, hands on activities, and group discussion to engage participants in an active learning environment. The course will cover a range of stated-preference methods. No prior knowledge on stated-preference methods is required, but participants should have a working understanding of the advantages and limitations of survey research, statistical analysis, and of medical decision making. Participants would benefit from bringing a working laptop.

Overview

This newly redesigned course will provide participants with a practical understanding of a variety of stated-preference methods including discrete-choice experiments (DCE), best-worst scaling (BWS), rating/ranking techniques, threshold techniques, and direct elicitation. We will demonstrate how these methods can be used to engage larger populations of patients and other stakeholders in decision making. Specifically, we will discuss how to balance the needs of potential respondents (e.g. disease community) and policy makers (e.g. regulatory and HTA bodies), and will discuss good research practices to conduct meaningful patient-preference studies. Numerous case studies will be presented to illustrate how stated-preference methods can be used to inform medical decision making for a variety of purposes and in a variety of settings. Attendees will develop an understanding of the possible applications of stated-preference methods and strategies to overcome practical challenges of conducting stated-preference studies.

Description & Objectives

The course will provide participants with a working knowledge of a range of stated-preferences methods, including discrete-choice experiments (DCE), best-worst scaling (BWS), rating/ranking techniques, threshold techniques, and direct elicitation that can be applied to a variety of research questions in medical decision making. We will highlight general methodological considerations that can be applicable to all stated-preference methods. We will discuss general principles and good research practices for instrument development, experimental design, statistical analysis, and interpretation of results. Specific issues for particular methods will be highlighted with case studies and different challenges and potential solutions with implementing stated-preference studies will be identified. Participants will apply and further develop principles they learn in the course through hands on activities and group discussions.

By the end of this course participants will have an:

Understanding of a variety of research questions and study objectives that can be answered through stated-preference methods and the various policy makers/decisions that can be informed by these studies
Awareness of the conceptual and practical foundations of a variety of stated-preference methods that can inform the choice among alternative methods
Understanding of approaches to utilizing any stated-preference method according to good research practices for survey design
Understanding of approaches for experimental design, statistical analysis, and interpretation of results applicable to common stated-preference methods
Awareness of issues affecting the validity and reliability of the application of stated-preferences methods in health and strategies to address these issues

Course Director

John Bridges
- The Ohio State University College of Medicine.

Course Faculty

Brett Hauber
- RTI Health Solutions
Ellen Janssen
- ICON plc

Session Fees

	Fee Type	Member Fee	Non-Member Fee
This session is free
	Early:	$400.00	$650.00
	Regular:	$490.00	$740.00
	Late:	$490.00	$740.00
This session is free
	Early:	$340.00	$340.00
	Regular:	$430.00	$430.00
	Late:	$430.00	$430.00