ORIGINAL RESEARCH article
Front. Med.
Sec. Intensive Care Medicine and Anesthesiology
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1663936
This article is part of the Research TopicAdvancements and Optimization of Evidence-Based Approaches in Pain ManagementView all 11 articles
Applying Healthcare Failure Mode and Effect Analysis to Enhance Patient-Controlled Analgesia in Acute Post Anesthesia Pain Management
Provisionally accepted
- Henan Provincial People's Hospital, Zhengzhou, China
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Purpose: This study aimed to evaluate the application of Healthcare Failure Mode and Effect Analysis (HFMEA) to optimize the patient-controlled analgesia management process for patients experiencing acute pain after general anesthesia. Methods: In this retrospective study, the experimental group included 475 patients who underwent general anesthesia between July and December 2024, whereas the control group included 503 patients between January and June 2024. The experimental group received an HFMEA-optimized analgesia management process, whereas the control group received the standard nursing protocol. Patients' pain scores, post-anesthesia care unit (PACU) stay length, and risk priority number (RPN) values were compared before and after HFMEA implementation. Results: Following implementation, RPN values decreased from high to low risk, pain scores dropped significantly, and PACU stay was shortened (P<0.05). Conclusions: Implementation of an HFMEA-optimized analgesia process for patients with acute post-general anesthesia pain improves pain control and speeds recovery.
Keywords: Patient-controlled analgesia, Postoperative pain management, HFMEA, Acute Pain, PACU
Received: 11 Jul 2025; Accepted: 13 Oct 2025.
Copyright: © 2025 Chen, Zhang, Zhi and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Shaoru Chen, hannahchen36@126.com
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