1100 - Introduction to Statistical Process Control: Using Run Charts to Understand Variation and Drive Quality Improvement

Saturday, April 23, 2022

8:00 AM – 9:30 AM US MT

Location: Convention Center: 110/112

CE: Live CME: 1.5

Course Number: 1100

Leader(s)

Munish Gupta, MD, MMSc

Assistant Professor in Pediatrics
Harvard Medical School
Boston, Massachusetts, United States

Co-Leader(s)

Heather Kaplan, MD, MSCE

Associate Professor
Cincinnati Children's Hospital Medical Center
Cincinnati, Ohio, United States
Alan Picarillo, MD

Assistant Professor in Pediatrics
The Barbara Bush Children's Hospital at Maine Medical Center
Cape Elizabeth, Maine, United States
MP

Michael Posencheg, MD

Professor of Clinical Pediatrics
Children's Hospital of Philadelpha
Newtown Square, Pennsylvania, United States
Michelle-Marie Peña, MD

Clinical Attending and Research Fellow
Children’s Hospital of Philadelphia, United States
Rebecca Vartanian, MD

Clinical Assistant Professor
University of Michigan Medical School
Ann Arbor, Michigan, United States

Participants should be aware of the following financial/non-financial relationships:

Munish Gupta, MD MMSc: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Heather C. Kaplan, MD, MSCE: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Alan Picarillo, MD: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Michael Posencheg, M.D.: ● Institute for Healthcare Improvement (Currently Ongoing) (Products/Services: Speaker Honorarium including speakers bureau, symposia, and expert witness)

Michelle-Marie Peña, MD: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Rebecca J. Vartanian, MD: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Quality improvement (QI) relies on data and measurement. Using time-series data analysis methods to understand variation in data is critical to guiding QI efforts. Statistical process control (SPC) is widely recognized as an optimal method for QI data analysis, and while it is becoming more widespread in health care, its use remains limited. In this workshop, we will provide a practical introduction to SPC and one of its most fundamental tools, run charts. We will begin by using interactive didactics to review the importance of data in QI and show how understanding variation is necessary to drive improvement. We will review run chart theory, and using sample data sets, make and analyze run charts in large and small group exercises. We will explore principles of equity-focused QI, and show how stratified run charts can be used to identify inequities and guide improvement efforts. We will finish by showing examples of QI initiatives anchored on run charts. A bibliography, key readings, data sets, and trial SPC software will be provided. Attendees are strongly encouraged to bring their own laptops for the hands-on exercises; participants who are not able to do this will still be able to follow along and participate extensively in the workshop.

Of note, those interested in a more advanced SPC workshop focused on the use of control charts are invited to attend Session 1500, “Hands-on Statistical Process Control: Making and Using Control Charts to Drive Quality Improvement”, on Saturday April 23rd from 1pm to 2:30pm.