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Implementing a human factors approach to RCA 2 : Tools, processes and strategies
Root Cause Analysis and Action (RCA 2 ) guidelines offer fundamental improvements to traditional RCA. Yet, these guidelines lack robust methods to support a human factors analysis of patient harm events and development of systems‐level interventions. We recently integrated a complement of human fact...
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Published in: | Journal of healthcare risk management 2021-07, Vol.41 (1), p.31-46 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Root Cause Analysis and Action (RCA 2 ) guidelines offer fundamental improvements to traditional RCA. Yet, these guidelines lack robust methods to support a human factors analysis of patient harm events and development of systems‐level interventions. We recently integrated a complement of human factors tools into the RCA 2 process to address this gap. These tools include the Human Factors Analysis and Classification System (HFACS), the Human Factors Intervention Matrix (HFIX), and a multiple‐criterion decision tool called FACES, for selecting effective HFIX solutions. We describe each of these tools and illustrate how they can be integrated into RCA 2 to create a robust human factors RCA process called HFACS‐RCA 2 . We also present qualitative results from an 18‐month implementation study within a large academic health center. Results demonstrate how HFACS‐RCA 2 can foster a more comprehensive, human factors analysis of serious patient harm events and the identification of broader system interventions. Following HFACS‐RCA 2 implementation, RCA team members (risk managers and quality improvement advisors) also experienced greater satisfaction in their work, leadership gained more trust in RCA findings and recommendations, and the transparency of the RCA process increased. Effective strategies for overcoming implementation barriers, including changes in roles, responsibilities and workload will also be presented. |
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ISSN: | 1074-4797 2040-0861 |
DOI: | 10.1002/jhrm.21454 |