Overview of systematic reviews of prevention and management of medication errors in adult patients
10.3760/cma.j.cn115682-20231115-02073
- VernacularTitle:成人用药错误预防及管理的系统评价再评价
- Author:
Zhide MAI
1
;
Mo YI
;
Ke LI
;
Jianxia ZHANG
;
Zhiwen WANG
Author Information
1. 北京大学第一医院急诊科，北京 100034
- Keywords:
Medication errors;
Systematic reviews;
Meta-analysis;
Evidence-based nursing;
Overview of systematic reviews
- From:
Chinese Journal of Modern Nursing
2024;30(20):2716-2723
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To overview the systematic reviews of prevention and management measures of medication errors, so as to provide evidence support for clinical decision-making for medical staff.Methods:Cochrane Library, Australia Joanna Briggs Institute Evidence-based Healthcare Center database, CINAHL, PubMed, Embase, CNKI, SinoMed, Wanfang database and VIP database were searched by computer to search for systematic reviews of prevention and management measures of medication errors, and the search period was from establishment of the databases to June 30, 2023. Two researchers with systematic evidence-based training applied A Measure Tool to Assess Systematic Reviews 2 (AMSTAR 2) to evaluate the literature quality, and Grades of Recommendations Assessment, Development and Evaluation (GRADE) was used to evaluate the quality of outcome indicators.Results:Finally, a total of 19 systematic reviews were included. The overall quality evaluation using AMSTAR 2 was relatively low, with one article rated as high-quality, one article rated as low-quality and 17 articles rated as extremely low-quality. According to the evidence quality evaluation results of GRADE system for 55 outcome indicators of 19 systematic reviews, 3 pieces of evidence were medium, 27 pieces of evidence were low and 25 pieces of evidence were extremely low, indicating an overall low quality of evidence.Conclusions:The related researches on prevention and management of medication errors have been carried out extensively, and the computer system is one of the effective measures to reduce medication errors. The effectiveness of measures such as administration process modification, doctor/nurse education and training, double check, pharmacist intervention, automated dispensing cabinet/ automated pump and drug display is still unclear and needs to be further confirmed by large sample size and high-quality studies.
