Application of integrated root cause analysis in analysis of drug administration approximation errors and system improvement
10.3760/cma.j.cn211501-20240624-01655
- VernacularTitle:整合性根本原因分析在给药近似错误分析中的应用
- Author:
Aixia WANG
1
;
Di WANG
;
Xiaoman ZHANG
;
Qi JIANG
;
Xiu FU
;
Wei WANG
Author Information
1. 山东第一医科大学附属省立医院心内科，济南 250021
- Publication Type:Journal Article
- Keywords:
Administration of the approximation error;
Integration;
Root cause analysis;
Analysis of adverse events
- From:
Chinese Journal of Practical Nursing
2025;41(18):1426-1434
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the application effect of integrated root cause analysis (RCA) in the analysis of approximate administration error events, and to provide reference for the management of clinical approximate administration error events.Methods:A non-synchronous pre-and post-control study was conducted. The data of 3 cases of approximate error events of drug administration in the Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University from January to September 2021 were retrospectively analyzed. The integrated RCA was used to find out the proximal causes, and the system diagram and problem tree analysis were used to determine the root causes. The improvement measures were formulated through barrier analysis, including improving the safety barrier of hospital information system (HIS), updating the database of drug instructions in the Department of Cardiology, standardizing the barrier of nurses′ treatment and examination of medical orders, and visual management barrier. The integrated RCA improvement measures were applied to the management of approximate error events of drug administration. The improvement effect was evaluated by comparing the number of adverse events of medication errors before improvement (January to September 2021) and after improvement (September 2023 to May 2024), the error rate of HIS drug orders, the number of drug interceptions in pharmacies, the processing time of doctors′ HIS orders, and the qualified rate of medical staff 's drug knowledge assessment.Results:There were 32 medical staff in the department of cardiology before improvement, including 6 males and 26 females, aged (31.03 ± 4.29) years old. After improvement, 30 medical staff, 6 males and 24 females, aged (31.20 ± 4.37) years old. After the implementation of integrated RCA improvement, the number of adverse events of medication errors decreased from 3 cases before improvement to 0 cases after improvement. The error rate of HIS drug orders decreased from 11.83%(11/93) before improvement to 2.74%(2/73) after improvement. Improve the pre-audit system without pharmacy drug delivery interception function, improve the pre-application drug information 6 990, the number of drug interception was 0; after improvement, 7 782 pieces of drug information were claimed, and the number of drug interceptions was 78. The difference before and after improvement was statistically significant ( χ2=68.54, P<0.05). After the improvement, the doctor′s HIS doctor′s order processing time including admission, discharge, preoperative, postoperative, examination and medication, and temporary doctor′s order processing time were (1.14 ± 0.41), (1.37 ± 0.30), (0.43 ± 0.11), (0.51 ± 0.11), (0.40 ± 0.10) and (0.51 ± 0.14) min, respectively. They were lower than (4.07 ± 0.70), (3.69 ± 0.60), (1.44 ± 0.24), (2.10 ± 0.45), (1.41 ± 0.28) and (1.44 ± 0.29) min before improvement, and the differences were statistically significant ( t values were 15.21-21.42, all P<0.05). The qualified rate of drug knowledge examination of medical staff increased from 81.25%(26/32) before improvement to 100.00%(30/30) after improvement, and the difference was statistically significant ( P<0.05). Conclusions:The application of integrated RCA to analyze the approximate error events of drug administration is helpful to identify the system defects in the workflow of electronic medical order administration more comprehensively, improve work efficiency and ensure the quality and safety of medical care.
