Summer Institute Workshops

Take a look at our 2022 course offerings to get an idea of what's in store for 2023.

Explore new topics in population health sciences, patient-reported outcomes, and a variety of research methods that will provide new frameworks you can apply on the job. Our virtual workshops employ live discussions, case studies, hands-on learning, or lectures. All workshops draw on the expertise of Duke University faculty and will give you new tools that will strengthen your knowledge base and research.


"I really liked how the information was presented—in a "what not to do" fashion rather than the usual "this is how it's done." It was attention grabbing and allowed for great discussion of anecdotes."
—2021 Attendee of Qualitative Study Design, Implementation and Dissemination 

 

Instructors
Devon Check, PhD, Assistant Professor in Population Health Sciences
Marc Ryser, PhD, Assistant Professor in Population Health Sciences and Department of Mathematics

In this workshop, attendees will be introduced to the ever-evolving field of Population Health Sciences, which draws on multidisciplinary perspectives to understand the determinants of health across populations and designs evidence-informed approaches to improve the health of those populations.

Attendees will see examples of population health research projects and 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

Workshop Outcomes:

By the end of this workshop participants will have acquired a big-picture understanding of the field of population health sciences, and will be well-prepared for more in-depth workshops offered by the PHS virtual Summer Institute.

Recommended Audience:  Undergraduate and graduate students, fellows, residents, trainees, program or research staff, and scientists interested in learning more about population health sciences

Date: Monday, June 13, 10:00AM–12:45PM ET
Class Size: No Limit

Instructors
Christy Zigler, PhD, Assistant Professor in Population Health Sciences
Theresa Coles, PhD, Assistant Professor in Population Health Sciences

Patient-reported outcomes (PROs) are widely used to evaluate the impact of interventions from the patients' perspective. This workshop is designed to familiarize participants with opportunities for integrating PRO measures in clinical studies, and to recognize the properties of a useful PRO measure. Attendees will understand the steps to develop and test a new PRO measure. The workshop will touch on survey design principles, recall period, and interpreting results of PRO scores.

Workshop Outcomes:

By the end of the workshop participants will be able to:

  • Define and identify patient-reported outcomes
  • Describe and compare different types of PRO measures
  • Recognize properties of a good PRO measure
  • Describe the development process for PRO measures

Recommended Audience: Individuals interested in using or developing PROs in clinical studies or clinical care

Date: Tuesday, June 14, 2:00–4:45PM ET
Class Size: No Limit

This is a single workshop delivered over two days

Instructors
Heather King, PhD,  Assistant Professor in Population Health Sciences
Leah Zullig, PhD, Associate Professor in Population Health Sciences

This workshop focuses on dissemination, implementation, and improvement science and its format is a hybrid of didactic teaching and discussion. Those new to the field will receive an introduction to dissemination, implementation, and improvement science and an overview of the field, including different perspectives toward organizational improvement, and their importance in the context of the evolving US healthcare system and in the context of population health sciences. We will discuss relevant theories, models, and frameworks; commonly applied research designs; measures and measurement considerations; and implementation strategies. We will also address the balance between ensuring fidelity and maximizing fit for context.

Workshop Outcomes:

By the end of the workshop participants will be able to:

  • Recognize dissemination, implementation, and improvement science in a local context as well as within the larger US healthcare system
  • Interpret scholarly literature, including different perspectives towards organizational improvement 
  • Compare and contrast theories, models, and/or frameworks 
  • Critically evaluate commonly applied research study designs as well as measures
  • Identify and describe implementation strategies
  • Understand key concepts for adapting evidence-based programs to different populations within varied geographic or clinical settings

Recommended Audience: Clinicians, practitioners, researchers, students, trainees, and staff interested in an introduction to dissemination, implementation, and improvement science

Date: Wednesday, June 15, 2:00–4:45PM ET (1 of 2) & Thursday, June 16, 10:00AM–12:45PM ET (2 of 2)
Class Size: 25 regular slots/10 students slots

Instructors
Theresa Coles, PhD, Assistant Professor in Population Health Sciences
Christy Zigler, PhD, Assistant Professor in Population Health Sciences

In this workshop, we will explore why qualitative studies are fundamental for successful development of new PRO measures, and for integrating PRO measures into clinical studies. We will define and describe useful qualitative methods and tools for conducting qualitative work in the PRO sphere. We will also explore what is at risk when we do not conduct fundamental qualitative studies, including not having an appropriate measure to evaluate success in a clinical study.

Workshop Outcomes:

By the end of the workshop, participants will be able to

  • Describe best practices for conducting qualitative studies to:
    • Identify outcomes of interest & select candidate PRO measures
    • Develop new PRO measures
    • Ensure a PRO measure is appropriate for inclusion in a clinical study
  • Compare and contrast qualitative method options.
  • Develop skills to know when best to apply qualitative methods in different circumstances
  • Understand what conclusions can and cannot be drawn from fundamental qualitative work related to PRO measures

Recommended Audience: Anyone who is interested in PROs. It is recommended (but not required) that participants who are not as familiar with PROs also attend the Intro to PROs workshop.

Date: Wednesday, June 15, 10:00AM–12:45PM ET 
Class Size: No Limit

Instructor
Hayden Bosworth, PhD, Vice-Chair and Professor of Population Health Sciences

During this half-day workshop, attendees will discuss methods for undertaking research and program evaluation within health services organizations and systems. Using case studies, we will explore the ‘state of the art’ in research methods.

Workshop Outcomes:

By the end of the workshop, participants will be able to:

  • Critique published health services research and health program evaluations
  • Design and implement more effective interventions that translate evidence into practice, policy and public health by identifying community, patient, clinician and organizational factors that serve as barriers and facilitators  
  • Design more comprehensive evaluations of interventions that translate evidence into practice by applying the basics of process and outcome evaluation, and by identifying the appropriate qualitative and quantitative effect measures
  • Identify different types of study design including observational, pre-experimental, and experimental and their inherent threats to internal and external validity
  • Develop, evaluate, and implement healthcare delivery interventions

Recommended Audience: Individuals carrying out policy research, social science research, or program impact evaluation within health delivery systems as well as those developing and implementing programs to improve healthcare outcomes.

Date: Thursday, June 16 2:00–4:45PM ET 
Class Size: 33 regular slots/ 25 student slots

Instructors
Nina Sperber, PhD, Assistant Professor in Population Health Sciences
Hannah Lane, PhD, Medical Instructor in Population Health Sciences

Integrating qualitative and quantitative data in mixed methods research provides a deeper understanding of a problem than using a singular methodological approach. Mixed methods lets the strengths of one approach even out the limitations of another. Employing presentations and interactive discussions, participants will learn:

  1. Rationale for using mixed methods research
  2. Core mixed-methods study designs
  3. Applications of mixed methods to population health research

Workshop Outcomes:

By the end of the workshop, participants will be able to:

  1. Articulate the rationale for using mixed methods research in population health
  2. Identify problems or questions that warrant the use of mixed methods
  3. Understand and apply core mixed methods study designs

Recommended Audience: Population health researchers and practitioners, healthcare or public health operations personnel, and policy partners

Date: Friday, June 17, 10:00AM–4:45PM ET 
Class Size: 20 regular slots/12 student slots

Instructor
Amy Corneli, PhD, Associate Professor in Population Health Sciences

This workshop will highlight the fundamental principles and common pitfalls in the design, implementation, and dissemination of qualitative descriptive research, focusing on the areas of medicine and population health sciences. Through a series of presentations and practice activities, participants will be introduced to:

  1. Various approaches to qualitative inquiry
  2. Primary considerations when designing qualitative studies (e.g., research aims, sampling)
  3. The principles of qualitative questionnaire design and interviewing
  4. Participant summaries of aggregated results
  5. Factors to consider when writing up qualitative findings for scientific literature

Workshop Outcomes:

By the end of the workshop, participants will be able to:

  • Explain the various approaches to qualitative inquiry and how to select the best design and method 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 participant summaries and peer-reviewed manuscripts that report qualitative research findings
  • Avoid common pitfalls in qualitative research

Recommended Audience: For those interested in designing, conducting, and writing up qualitative research at the investigator level, either for studies using only qualitative research or studies using qualitative research as one component of a larger study.

Date: Tuesday, June 21, 10:00AM–4:45PM ET
Class Size: 25 regular slots/19 student slots

Instructor
Brian Perry, MPH, Senior Research Program Leader

During this workshop, participants will be introduced to applied strategies for developing deductive and inductive codebooks; applying codes to text; identifying themes; and ensuring rigor throughout the process of reading, categorizing, and interpreting qualitative data. Rapid analysis methods and strategies for maintaining rigor during this process will also be discussed. This workshop includes an introduction to NVivo, a qualitative data analysis program for organizing and displaying data.

Workshop Outcomes:

This workshop will focus on qualitative data analysis. By the end of the workshop, participants will be able to:

  • Describe the general steps in using applied thematic data analysis to analyze qualitative data
  • Apply concepts related to coding and identifying themes in qualitative data
  • Understand how the analysis approach should be fit-for-purpose based on the objectives of the study and intent of the data
  • Use NVivo to code and display data
  • Explain the benefits and limitations of using computer software to assist in qualitative data analysis

Recommended Audience: For students and social scientists carrying out qualitative research involving text-based and/or transcribed interview and focus group data using semi-structured data collection tools.

Date: Wednesday, June 22, 10:00AM–4:45PM ET 
Class Size: 25 regular slots/ 20 student slots

Instructors
Lesley Curtis, PhD,  Chair and Professor in Population Health Sciences
Sudha Raman, PhD, Assistant Professor in Population Health Sciences

During this half-day seminar, attendees will get an overview of how climate change impacts physical and mental health as well as the societal drivers of vulnerability and environmental health inequality. Using case studies, we will explore the evidence base of interventions to reduce environmental health inequality and identify approaches to increase resiliency.

Workshop Outcomes:

By the end of the workshop, participants will be able to:

  • Identify key causes and implications of climate change for health and health outcomes
  • Explore the societal drivers of environmental inequity
  • Design responses and actions that health care systems and public health actors can take to reduce the disproportionate impact of climate change on the health of vulnerable populations
  • Critique the evidence base of interventions that address environmental sources of health inequity
  • Identify priority areas for evidence development at the intersection of climate change and health  

Recommended Audience: For those carrying out policy research, social science research and those developing and implementing programs at the intersection of climate change and population health.

Date: Thursday, June 23, 2:00PM–4:45PM ET
Class Size: No Limit

Instructor
Hayden Bosworth, PhD, Vice-Chair and Professor in Population Health Sciences
Lesley Curtis, PhD, Chair and Professor in Population Health Sciences

During this half-day seminar, attendees will learn ways to integrate digital health into research and program evaluations within health services organizations and systems. Using case studies, we will explore the ‘state of the art’ in digital health and how it can be harnessed for interventions, data collection, and evaluations. We will also explore the intersection of digital health and health equity, identifying approaches to minimize unintended consequences of digital health interventions.  

Workshop Outcomes:

By the end of the workshop, participants will be able to:

  • Operationalize and define what is meant by digital health
  • Critique published health services research and health program evaluations
  • Design and implement interventions that incorporate digital health
  • Design more comprehensive evaluations of interventions that incorporate digital health by applying the basics of process and outcome evaluation, and by identifying the appropriate qualitative and quantitative measures of effect
  • Identify potential barriers and facilitators to the use of digital health
  • Identify approaches to minimize the inequitable impacts of digital health

Recommended Audience: Those carrying out policy research, social science research, or program impact evaluation within health delivery systems as well as developing and implementing programs to improve healthcare outcomes.

Date: Friday, June 24, 2:00PM–4:45PM ET
Class Size: No Limit

Instructor
Jennifer Gierisch, PhD, Associate Professor in Population Health Sciences

Research study findings are used to form the foundation of clinical practice, patient decision-making, community action, and policy. Yet, funders, policymakers and the research community state that research can be ineffectual and irrelevant without key input and collaboration from “end-user” communities, namely those that are impacted by the findings (eg., patients, clinicians, and caregivers.)

To bridge this gap, population health researchers and clinical scientists should know:

  1. How to engage diverse groups outside academia
  2. How to be responsive to their needs, preferences, and values

These approaches will generate more applicable evidence for clinical and health policy decision-making and increase the dissemination and sustainability of research findings in the real world.

This workshop will introduce various approaches and principles on how to include patients and other key groups as collaborators in the research process and will build skills that optimize authentic engagement. Learn how to apply community-engaged research approaches as an evidence-based method to improve study feasibility, acceptability, relevance, and rigor.

Workshop Outcomes: By the end of the workshop, participants will get a practical foundation in strategies and approaches that support meaningful engagement with diverse groups in the research process. Participants will also understand the principles and practices that foster authentic partnered and engaged research and become familiar with its key components such as:

  • Determining the role of engaged approaches in population health science
  • Identifying patient, clinician, and community collaborators and informants
  • Fostering methods for intentional engagement (e.g., how to support and train community collaborators and build engagement into your research proposals)

Recommended Audience: Researchers, research staff, and students who are new to engaged research approaches and are interested in learning how to start incorporating such methods into their studies.

Date: Thursday, June 23, 10:00AM–12:45PM ET
Class Size: 17 regular slots/ 8 student slots

Instructors
Juan Marcos Gonzalez, PhD, Assistant Professor in Population Health Sciences
Shelby Reed, PhD, Professor in Population Health Sciences
Reed Johnson, PhD, Professor in Population Health Sciences

This workshop teaches how to apply a well-defined conceptual framework to the design, implementation, and critical assessment of stated-preference surveys. Case studies will illustrate the strengths and limitations of various methods. Case studies will also demonstrate the application of such quantitative preference methods to inform patient-centered health care, health-technology assessment, and regulatory decision-making. Participants will complete and evaluate a stated-choice survey during the workshop. 

Workshop Outcomes:

By the end of the workshop, participants will be able to:

  • Identify appropriate uses of different preference-elicitation formats
  • Understand relevant applications of patient-preference information in population health sciences and health policy
  • Critically evaluate specific decisions associated with the development of a patient-preference instrument
  • Conceptualize how to create a survey

Recommended Audience: People who are interested in patient-centered medicine, regulatory sciences, and shared decision making.

Date: Friday, June 24, 10:00AM–12:45PM ET
Class Size: 14 regular slots/8 student slots

Have questions about the Summer Institute? Contact us.