IC-CS Risk Study

IC-CS Risk Study Goals & Metrics 

The IC-CS Risk Study aims to address critical disparities in maternal health outcomes by testing the effectiveness of the IC-CS Risk Calculator in labor units across the United States. With over four million births annually and cesarean deliveries linked to increased maternal morbidity, this study focuses on reducing unnecessary cesareans, particularly among birthing people undergoing labor induction. The study's central goal is to assess whether the calculator, which provides individualized cesarean risk predictions, can improve clinical decision-making, reduce cesarean rates, and mitigate racial disparities in obstetric outcomes.

Using a randomized stepped-wedge rollout design across 14 labor units, the study will:

  1. Evaluate site-specific factors to develop tailored implementation strategies.
  2. Measure the effectiveness of the calculator in reducing cesarean deliveries, with a focus on its impact on racial disparities.
  3. Assess the tool's acceptability, usage, and equitable reach through a mixed-methods approach.

By the study's conclusion, the research team will provide actionable insights on the calculator's impact, alongside an online toolkit for broad implementation, offering a pathway to improved maternal health outcomes nationwide.

Implementation of Calculated Cesarean Section Risk (IC-CS Risk)

The IC-CS Risk initiative is a groundbreaking, multi-site project designed to implement a cesarean risk calculator that provides clinicians and patients with individualized cesarean risk percentages during labor induction. 

With a focus on reducing cesarean deliveries, improving maternal health outcomes, and addressing disparities affecting Black, Indigenous, and People of Color (BIPOC) birthing individuals, this project spans six major health systems, including:

  • Cleveland Clinic
  • Henry Ford
  • University of Pennsylvania
  • University of Michigan
  • Intermountain Health
  • University of Utah. 

Over three years, the calculator will be systematically introduced across 14 labor and delivery units, allowing for strategic evaluation and measurable improvements in maternal care.

How will IC-CS measure impact?

  • Clinical Outcomes: Tracking changes in maternal morbidity and cesarean section rates to evaluate the effectiveness of the calculator in improving labor outcomes.
  • Utilization: Assessing how frequently the calculator is used across different labor and delivery units to ensure widespread adoption.
  • Equity: Evaluating whether the calculator reaches all target patients, with a focus on race, ethnicity, and insurance status, to ensure equitable access and outcomes.

Timeline of Implementation

Meet The Team

headshot Rebecca F. Hamm, MD MSCE Project PI, University of Pennsylvania
Meghan Lane-Fall Meghan Lane-Fall, MD, MSHP Co-Investigator, University of Pennsylvania
Lisa Levine Lisa Levine, MD, MSCE Co-Investigator, University of Pennsylvania
A. Hussey Alicia Hussey, MS Co-Investigator, University of Pennsylvania
M Kit Delgado Mucio Kit Delgado, MD, MS Co-Investigator, University of Pennsylvania
R. Clark Rebecca Clark, MSN, PhD Co-Investigator, University of Pennsylvania
Elizabeth Howell Elizabeth Howell, MD, MPP Co-Investigator, University of Pennsylvania
Alisa Stephens Alisa Stephens, PhD Co-Investigator, University of Pennsylvania
C. Dolin Cara Dolin, MD, MPH Site PI, Cleveland Clinic
Michelle Moniz Michelle Moniz, MD, MSc Site PI, University of Michigan
B. Einerson Brett Einerson, MD, MPH Site PI, University of Utah
J. Page Jessica Page, MD, MS Site PI, Intermountain Healthcare
Meaghan McCabe Meaghan McCabe, MPH Program Manager, University of Pennsylvania
C. Steele Corinne Steele, MPH Project Manager, University of Pennsylvania
Sarah Hulse Sarah Hulse Clinical Research Coordinator, University of Pennsylvania