Root Cause Analysis for System Improvement

Key Elements of the RCA Process

• The primary purpose of root cause analysis is to improve systems, not blame individuals or organizations when things go wrong, according to the principles outlined by health organizations 1
• RCA focuses on identifying system-level root causes rather than merely addressing symptoms of problems, which is a key element in the analysis process 2
• The process deliberately avoids placing blame on individuals, which can make those involved in an incident unwilling to participate freely and reduces the quality of the analysis, as noted by healthcare guidelines 1
• Focusing on systems rather than individual actions helps "open up" participants who might otherwise be concerned about personal reprisals, facilitating a more thorough analysis 3
• The process involves defining the sequence of events, identifying organizational goals, determining major response challenges, defining immediate causes, and identifying factors that need addressing, which is essential for a systematic approach to improving safety 2
• This structured approach helps create shared mental models among individuals playing different roles in the system, promoting a collaborative environment 3

Continuous Quality Improvement

• RCA is an essential component of continuous performance improvement through which healthcare providers attempt to improve and assure quality of care, as recommended by the American Academy of Pediatrics and other medical societies 4
• The process allows for tracking adverse events and significant interventions, which can then be examined for risk reduction and improvement, according to the American College of Physicians 5

Attribution Framework for Adverse Events

Classification of Causal Relationship

• The London Protocol recommends categorizing the relationship between an adverse event and the underlying procedure or system failure as Definite, Probable, Possible, or Unlikely, providing a structured way to express the strength of attribution. This classification is intended to guide investigators in communicating how confidently an event can be linked to specific system factors. Low‑level evidence (expert consensus, no controlled trials). 6, 7