Society for Medical Decision Making

Introduction to Shared Decision Making and Patient Decision Aids | Short Course

Sunday, October 22, 2017
9:00 AM - 12:30 PM

Description: This course will provide participants with the fundamental components of shared decision making. Specifically, participants will learn the basics about shared decision making including why it is important, how it differs from other related clinical tools (e.g., motivational interviewing, evidence based medicine) and what shared decision making has been proven to do (and not do). We will also discuss how shared decision making occurs in practice, particularly how it can improve patient-physician discussions and how risk communication methods can improve decision making. We will briefly describe other interventions, such as decision aids, that can promote shared decision making. We will discuss implementation challenges of shared decision making and decision aids.

Course Director:

Angela Fagerlin
University of Utah / Salt Lake City VA

Course Faculty:

Mary Politi
Washington University in St. Louis, School of Medicine

Dominick Frosch
Palo Alto Medical Foundation Research Institute

Leveraging the Diversity of Patient Reported Outcomes (PROs) Implementations Across a Large Hospital System to Inform an Enterprise Approach to PROs Data Use | Symposium

Tuesday, October 24, 2017
1:30 PM - 2:45 PM

Description: Patient-reported outcomes (PROs) provide important information about how the patient experiences health and associated treatments. In the era of accountable care, PROs are an important measure of patient outcomes, however PRO data use continues to develop in siloed clinical settings.  In order to support a strategic approach to PRO implementation, we assessed the current landscape of PRO use across our healthcare system, including areas of care, workflow for data capture, purpose of data use, and EMR integration capabilities.  In this symposium, we will present three in-depth PROs case studies (HIV primary care, lumbar spine fusion surgery, and headache management) from within a single healthcare system that highlight the complex needs of different clinical stakeholders for PRO data.  Speakers will review how these diverse needs impacted the design of their PROs system and data collection and review processes, and discuss opportunities to establish a more strategic approach that guides HIT enabled practice models using PROs across healthcare systems and supports the needs of stakeholders at all levels of the system, ensuring alignment with broader goals for patient care.

Panelists:

Heidi Crane
University of Washington

Natalia Murinova
University of Washington

Amy Cizik
Surgical Outcomes Research Center

Moderator:

Elizabeth Austin
University of Washington

Patient Preferences | Oral Abstracts

Tuesday, October 24, 2017
3:15 PM - 4:45 PM

View Abstracts Page

Moderator:
Karen R. Sepucha
Massachusetts General Hospital

Tools to Support Shared Decision Making | Oral Abstracts

Wednesday, October 25, 2017
10:30 AM - 12:00 PM

View Abstracts Page

Moderator:
Holly O. Witteman
Laval University

Stated-Preferences Methods: Design, Analysis, and Interpretation | Full Day Short Course | Part 1 / 4
 

Stated-Preferences Methods: Design, Analysis, and Interpretation | Full Day Short Course | Part 2 / 4
 

Stated-Preferences Methods: Design, Analysis, and Interpretation | Full Day Short Course | Part 3 / 4
 

Stated-Preferences Methods: Design, Analysis, and Interpretation | Full Day Short Course | Part 4 / 4

Sunday, October 22, 2017
9:00 AM - 5:30 PM

Description: The course will provide an overview of the most common stated preferences methods in health research. Each step of designing, analyzing, and interpreting a stated-preference study will be reviewed using published good research practices. Case studies will be used to illustrate the application of stated-preference studies. By the end of this course participants will have:

1. Awareness of good research practices in guiding the design, analysis, and interpretation of a stated-preference study to elicit preferences and/or values of patients, physicians, and other decision makers.
2. Understanding of the conceptual and empirical basis of different methods to elicit stated preferences in outcomes research;
3. Knowledge of the practical challenges involved in designing, analyzing, and interpreting a stated-preference instrument in order to obtain valid empirical estimates; and
4. Practical skills to use appropriate method to analyze data from a stated-preference study and interpret the results.

Course Director:

John F.P. Bridges
Johns Hopkins Bloomberg School of Public Health

Course Faculty:

Ellen Janssen
Johns Hopkins Bloomberg School of Public Health

A. Brett Hauber
RTI Health Solutions