Monday, June 3 – Tuesday, June 4, 2019
INSTRUCTORS: Drs. Bryce Reeve and Kevin Weinfurt
There is an increasing demand by patients, providers, payers, and regulators for evidence that new health care interventions make a real difference in people’s lives. Patient-reported outcome (PRO) data are critical in demonstrating the effect of interventions on how a patient feels and functions (e.g., fatigue, pain, physical functioning, social functioning). PROs provide value to research and clinical care but can also present significant challenges to implement in practice. We will address these challenges by looking at which patient-centered outcomes to assess, how to select the right measure of those outcomes, when to collect patient data, and how to interpret and take action on the data.
This course gives you a friendly introduction to the technical aspects of Classical Test Theory and Item Response Theory for the evaluation of the psychometric properties of a PRO measure.
In this introductory course, you will gain the knowledge necessary to incorporate PROs into clinical research and health care delivery settings. You will learn about:
- Different types and suitability of measures
- Methods for the development of new measures
- Best practices for collecting and analyzing PRO
Qualitative Research: Study Design and Applied Thematic Analysis
Wednesday, June 5 – Thursday June 6, 2019
INSTRUCTORS: Dr. Amy Corneli and Brian Perry, MPH
During this workshop, you will learn the fundamental principles and common pitfalls in the design, conduct, and analysis of qualitative descriptive research, focusing on studies within medicine and population health sciences. Through a series of presentations and practice activities, participants will be introduced to:
- Various approaches to qualitative inquiry
- Primary considerations when designing and conducting qualitative studies
- The principles of qualitative questionnaire design and interviewing
- General steps in applied thematic data analysis, including how to code and display data in NVivo, a software program for organizing qualitative data for analysis
- Factors to consider when writing up qualitative findings
Day 1 will focus on qualitative study design, implementation and write-up.
Day 2 will focus on qualitative data analysis, including detailed instruction on the use of NVivo.
By the end of Day 1 participants will be able to:
• Explain the various approaches to qualitative inquiry and how to select the best way to answer new research questions
• Demonstrate how to apply methodological considerations when designing new qualitative studies
• Summarize the key principles for gathering rich qualitative data during questionnaire design and interview conduct
• Describe essential information to include in peer-reviewed manuscripts that report qualitative research findings
By the end of Day 2 participants will be able to:
- Describe the general analytical steps in using applied thematic data analysis to analyze qualitative data
- Apply concepts related to coding and identifying themes in qualitative data
- Use NVivo to code and display data
- Explain the benefits and limitations to using computer software to assist in qualitative data analysis
Topics in Population Health Sciences
Monday, June 10 – Tuesday, June 11, 2019
INSTRUCTORS: Drs. Devon Check, Aaron McKethan, and Marc Ryser
During this day, you will be introduced to the continually evolving field of Population Health Sciences, which draws on multidisciplinary perspectives to understand the determinants of health across populations and to design evidence-informed approaches to improve health across populations. You will become familiar with key domains of population health research such as:
- Research question formulation
- Strengths and limitations of commonly used population-based data sources
- Stakeholder engagement throughout the research process
Part I: Orientation to the field of population health sciences
Part II: Study design and methodological considerations in population health research
Part III: Translation of research results into population-level practice and policy changes
Part I: Brief review of concepts from the beginner workshop
Part II: Team-based activities and panel discussions designed to put the newly learned concepts into action. Activities will use case studies from a range of population health topics, including cancer early detection, serious illness care, and prevention and treatment of opioid use disorder.
Participants will become familiar with key considerations in the process of designing and conducting a population health study—from research question formulation to effective translation of results into policy and practice. They will gain additional familiarity with key concepts in population health research by applying those concepts to case studies.
Dissemination & Implementation Science
This workshop focuses on dissemination & implementation science and its format is a hybrid of didactic teaching and small group discussion work. Day 2 is a more applied exploration of the topics covered on Day 1.
Day 1 will give you an introduction to those new to the field of dissemination & implementation. You will get an overview of implementation science and its importance in the context of the evolving US healthcare system. There will be discussions on commonly applied research designs and methods to implement clinical practice change. Day 2 is for those new to the field but is also tailored to those familiar with implementation science principles. You will dig deeper into best practices for adapting research studies and interventions to be implemented in different geographic or clinical settings—with different populations. We will also discuss innovative implementation strategies and how to select and evaluate them.
After day 1 you will be able to:
- Recognize implementation science in a local context as well as within larger US healthcare system
- Identify implementation strategies and compare and contrast implementation science theories, models, and/or frameworks
- Interpret scholarly implementation science literature
After day 2 you will be able to:
- Understand key concepts for adapting evidence-based programs to different population within varied geographic or clinical settings
- Select and evaluate implementation science-related measure(s)
A formal schedule of the workshops will be made available to participants two weeks before the Institute commences. For planning purposes, registrants may assume the day begins around 8-9 am, and finishes around 5 pm.
Questions about workshop format or registration? Please ask Ebony Nash or Mary Medlin prior to registering