The Ladder of Inference as a tool to reduce implicit bias in pediatric clinical practice

Area of Science:

• Medical Ethics
• Healthcare Disparities
• Cognitive Psychology

Background:

• Implicit bias among healthcare professionals negatively impacts patient outcomes, particularly for marginalized groups.
• Existing tools for bias detection lack real-time corrective capabilities in clinical settings.
• Neonatal intensive care units (NICUs) experience significant outcome disparities linked to care quality variations.

Purpose of the Study:

• To introduce the Ladder of Inference (LOI) as a practical tool for detecting and mitigating implicit bias in neonatal intensive care unit (NICU) practice.
• To demonstrate how the LOI can identify feedback loops that exacerbate or improve care quality based on implicit bias.
• To explore the potential of the LOI in reducing neonatal outcome disparities.

Main Methods:

• The study proposes the Ladder of Inference (LOI) as an "implicit bias detection tool" for NICU clinical practice.
• Two common NICU cases are analyzed to illustrate the LOI's application.
• The mechanism by which implicit bias influences care quality through feedback loops is examined.

Main Results:

• Utilizing the LOI can uncover how implicit bias creates positive or negative feedback loops affecting care quality.
• Subtle biases, when amplified through the LOI, can lead to significant positive or negative shifts in patient care.
• The application of the LOI demonstrates a potential pathway to counteract implicit biases in real-time.

Conclusions:

• The Ladder of Inference (LOI) serves as an effective tool for healthcare providers to identify and counteract implicit biases.
• Real-time bias detection and correction using the LOI can lead to more equitable and higher-quality care in the NICU.
• Addressing implicit bias through tools like the LOI is crucial for mitigating health disparities in neonatal populations.