Battelle Centers for Public Health Research and Evaluation, Century Plaza 1, 2987 Clairmont Road, NE - Suite 450, Atlanta, GA 30329‐4448, USA.
Clin Biochem. 2012 Sep;45(13-14):988-98. doi: 10.1016/j.clinbiochem.2012.06.019. Epub 2012 Jun 28.
This is the first systematic review of the effectiveness of barcoding practices for reducing patient specimen and laboratory testing identification errors.
The CDC-funded Laboratory Medicine Best Practices Initiative systematic review methods for quality improvement practices were used.
A total of 17 observational studies reporting on barcoding systems are included in the body of evidence; 10 for patient specimens and 7 for point-of-care testing. All 17 studies favored barcoding, with meta-analysis mean odds ratios for barcoding systems of 4.39 (95% CI: 3.05-6.32) and for point-of-care testing of 5.93 (95% CI: 5.28-6.67).
Barcoding is effective for reducing patient specimen and laboratory testing identification errors in diverse hospital settings and is recommended as an evidence-based "best practice." The overall strength of evidence rating is high and the effect size rating is substantial. Unpublished studies made an important contribution comprising almost half of the body of evidence.
这是首个系统综述，旨在评估条码技术在减少患者标本和实验室检测鉴定错误方面的有效性。
采用美国疾病预防控制中心（CDC）资助的实验室医学最佳实践倡议（Laboratory Medicine Best Practices Initiative）质量改进实践系统综述方法。
共有 17 项观察性研究报告了条码系统的情况，其中 10 项涉及患者标本，7 项涉及即时检测。所有 17 项研究均支持条码技术，条码系统的荟萃分析平均优势比为 4.39（95%可信区间：3.05-6.32），即时检测的平均优势比为 5.93（95%可信区间：5.28-6.67）。
条码技术在不同医院环境中有效减少患者标本和实验室检测鉴定错误，推荐将其作为基于证据的“最佳实践”。证据总体强度评级高，效果大小评级显著。未发表的研究做出了重要贡献，占证据体的近一半。
