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Tech Talk: Using Cross-Classified Multilevel Models To Estimate The Impact Of Patient-Level Risk Factors And Time-Varying Hospital Until On Healthcare-Associated Clostridioides Difficile Infection
November 7 @ 12:00 pm - 1:00 pm
Thursday November 7, 2024 from 12:00-1:00pm
Virtual Teams Presentation
The use of multilevel modeling in epidemiology allows health researchers to examine how a person’s physical or socially constructed environment may influence their health exposures or disease occurrence. This TechTalk will provide an overview of how multilevel modeling can be used in epidemiologic research in a clinical setting. A traditional example of a multilevel data structure considers how a person’s health may be influenced by their neighborhood or place of residence. In an inpatient setting, we can consider how a patient’s health status may be influenced by their physical environment, such as their room, unit, or hospital. We will walk through an example of this method using data from a case-control study of ChristianaCare patients, evaluating patient-level risk factors for Clostridioides difficile infection, accounting for the patient’s physical environment throughout their hospitalization. Challenges in conducting research in this setting will be discussed and analytic solutions proposed.
Meet the Speaker
Jessica Webster, PhD, MPH
Center for Health Care Quality, Healthcare
Associated Infections Program
California Dept of Public Health
Los Angeles, CA
Jessica Webster is an epidemiologist with research interests in infectious diseases (particularly healthcare-associated infections) and epidemiologic methods. She received her PhD in Epidemiology from Drexel University’s Dornsife School of Public Health in 2024, where her dissertation work focused on exploring challenges in exposure characterization for healthcare-associated infections such as Clostridioides difficile. Jessica is currently working at the California Department of Public Health as an Antimicrobial Stewardship Epidemiologist.
Join the meeting now
Meeting ID: 283 724 980 920
Passcode: dAFUdV
Dial in by phone
+1 302-483-7154,,485722297# United States, Wilmington
Find a local number
Phone conference ID: 485 722 297#
Please RSVP to Debra.Reese@ChristianaCare.org Include your name, email address, and institution/organization. We will provide instructions on obtaining CME credit for attendance.
Work supported by an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number U54-GM104941 (PI:Hicks) and the State of Delaware.