Integrated Mixed Methods: Bridging Qualitative and Quantitative Methods and Results

This course will take place over three mornings (5/15/23, 5/17/23, and 5/19/23), 2.5 hours per morning, and will be offered via Zoom. Attendance is required as the course will not be recorded.

Integrated mixed methods are used to answer questions that necessitate more than one method to achieve a holistic understanding. Combining qualitative and quantitative approaches can enhance conversations about theory, practice, and/or policy. This demanding paradigm requires knowledge, skill, and expertise in quantitative and qualitative methods, as well as the art of intentionally integrating the approaches to and findings from each mode of inquiry.

This course focuses on strategies, tips, and best practices to accomplish integration in accessible and effective ways, including:
- Rationales to guide decision-making related to study design and execution
- Conceptual, theoretical, and/or logic models as roadmaps to set the stage for and guide integration
- Analytic strategies that advance frameworks and dynamic processes of connecting, building, merging, embedding, and bridging

Register

Category 3 PCORnet Studies Grant Opportunity - Broad Pragmatic Studies Funding Announcement: PCORI Funding Announcement (PFA) Submission open for Cycle 2

This PCORI Funding Announcement (PFA) invites applications for high-quality comparative clinical effectiveness research projects. Cycle 2 2023 includes the addition of a Category 3 option to support PCORnet® Studies using PCORnet®, the National Patient-Centered Clinical Research Network, to advance PCORI's National Priorities for Health. PCORnet is accessible to all investigators interested in using the PCORnet infrastructure, which was designed to improve the nation's capacity to conduct large-scale patient-centered health research.

UNC is a participating PCORnet site under the STAR CRN. Mike Kappelman, MD is the UNC site principal investigator leading and promoting PCORnet as a national data infrastructure resource for all researchers within UNC interested in using the PCORnet Common Data Model (CDM) to their research questions, from observational studies to large-scale multi-network comparative effectiveness trials.

We invite any interested UNC researchers to submit to the Category 3 grant.

Applicant Town Hall

This town hall will provide an overview of PCORI and the information that applicants may need to submit a responsive application to the Broad Pragmatic Studies Funding Announcement -- 2023 Standing PFA (for Cycle 2 2023).

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Dates and deadlines

• Applicant Town Hall: 5/17/23^*
• Category 3 workshop webinar: 5/18/23^*
• UNC internal office hours: 5/22/23 at 4-5pm ET (Zoom link)
• Letter of Intent deadline: 5/31/23 at 5pm ET
• Letter of Intent Status Notification: 6/27/23
• Application Deadline: 8/31/23 at 5pm ET

^*For more information, including registering for events, visit: www.pcori.org.

Contact Penny Wang (This email address is being protected from spambots. You need JavaScript enabled to view it.) with any questions.

Recent advances in technology have simplified the creation, collection, storage, and analysis of health care data. However, researchers and clinicians are still working to realize the potential of this data.

The UNC Program on Health and Clinical Informatics (PHCI), North Carolina Translational and Clinical Sciences (NC TraCS) Institute, and Program for Precision Medicine in Health Care (PPMH) are presenting a seminar series in May 2023 that will provide an introduction to working with electronic health care data. Each Wednesday from May 10 through May 31, 2023 features a presentation from 2:30-4:00 p.m., followed by Q&A on your research project with NC TraCS analysts from 4:00-4:30 p.m.

Audience

• Graduate students, postdocs, faculty, and clinicians who are interested in research using clinical data from UNC's EHR system and the Carolina Data Warehouse

Location & Times

• Wednesdays: May 10, 17, 24, and 31, 2023
• 2:30-4:00pm Brinkhous-Bullitt 219 or by Zoom
• 4:00-4:30pm office hours Q&A with NC TraCS analysts, in-person only at Brinkhous-Bullitt 219

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Learning Objectives

1. Week 1: Understand the basics of how the US health care system generates data and how this data is stored in the EHR.
2. Week 2: Describe the code sets used to record health care data.
3. Week 3: Recognize the fundamental units of how health care data is organized in the EHR.
4. Week 4: Understand how to design a research question for clinical data. Identify resources at UNC that support clinical data research.

Content

Questions? Email This email address is being protected from spambots. You need JavaScript enabled to view it.

view the series flyer