Ten Workshops With Duke Faculty.
Ten Reasons to Attend the Summer Institute.

Explore new topics in population health sciences and patient reported outcomes and a variety of research methods that will provide new frameworks you can be 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 impact your knowledge base and research.

“This class was extremely useful and the instructors delivered the content in a way that was informative, engaging, and welcoming to questions or suggestions.”
—2019 Attendee of Introduction to Patient-Reported Outcome Measures




Devon Check, PhD, Assistant Professor in Population Health Sciences
Marc Ryser, PhD, Assistant Professor in Population Health Sciences
Hilary Campbell, PharmD, JD, Research Associate, Margolis Center for Health Policy

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 7, 10:00–12:45PM ET
Class Size: No Limit


This is a single workshop delivered over two days

Heather King, PhD,  Assistant Professor in Population Health Sciences
Leah Zullig, PhD, Associate Professor 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: Monday, June 7, 2:00–4:45PM ET (1 of 2) & Tuesday, June 8, 10:00–12:45 (2 of 2)
Class Size: No Limit


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 8, 2:00–4:45PM ET
Class Size: No Limit


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

This workshop explores why qualitative studies are fundamental to the successful development of new and existing PRO measures, and how to integrate PRO measures into clinical studies. We will define and describe useful qualitative methods and tools for conducting qualitative work in the PRO sphere and explore what’s at risk when we do not conduct fundamental qualitative studies, including not having an appropriate measure to evaluate patient success. We will also address funding strategies for formative and fundamental qualitative work.

Workshop Outcomes:

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

  • Describe best practices for conducting qualitative studies, specifically:
    1. Identifying outcomes of interest & selecting candidate PRO measures
    2. Developing new PRO measures and fundamental qualitative methods
    3. Ensuring a PRO measure is appropriate for inclusion in a clinical study
    4. Comparing and contrasting qualitative method options
  • Know how to best apply qualitative methods in different circumstances
  • Understand what conclusions can and can’t be drawn from fundamental qualitative work related to PRO measures
  • Identify opportunities for funding qualitative studies 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 9, 2:00–4:45PM ET 
Class Size: No Limit


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 10 2:00–4:45PM ET 
Class Size: Limit 50 with 20 student slots


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 11, 10:00–4:45PM ET 
Class Size: Limit 30 with 10 student slots


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 and 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: Monday June 14, 10:00–4:45pm ET
Class Size: Limit 40 with 14 student slots


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 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: Tuesday June 15, 10:00–4:45pm ET 
Class Size: Limit 40 with 14 student slots


Jennifer Gierisch, PhD, Associate Professor in Population Health Sciences

Research study findings are used to form the foundation of clinical practice, patient decision making, and policy. Yet, funders, policy makers and the research community state that research can be ineffectual and irrelevant without patient, clinician, and other key stakeholder input. To bridge this gap, population health researchers and clinical scientists should know how to engage diverse stakeholders and how to be responsive to their needs, preferences, and values. This will help 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 teach how to include patients and other key stakeholders as respected collaborators in the research process and will build skills that optimize authentic engagement. Learning how to apply stakeholder engagement is an evidence-based approach 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 meaningfully engage diverse stakeholders in the research process. They will also understand the principles and practices that foster authentic stakeholder engagement and become familiar with its key components such as:

  • Determining the role of stakeholders in population health science
  • Identifying stakeholder collaborators
  • Fostering methods for intentional engagement (e.g., how to support and train stakeholder collaborators and building engagement into your research proposals)

Recommended Audience: Researchers, research staff, and students who are new to stakeholder engagement and are interested in learning how to start incorporating engagement approaches into their study designs.

Date: Thursday June 17, 10:00–12:45pm ET
Class Size: Limit 25 with 6 student slots


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 18, 10:00–12:45pm ET
Class Size: Limit 20 with 5 student slots