{"title":"Unit dose drug dispensing systems in hospitals: a systematic review of medication error reduction and cost-effectiveness.","authors":"Matteo Gallina, Mirko Testagrossa, Alessio Provenzani","doi":"10.1136/ejhpharm-2024-004444","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Medical errors pose significant risks to patient safety and public health. Automated unit dose drug dispensing systems (UDDSs) have emerged as valuable tools to reduce medication errors while optimising economic and logistical resources.</p><p><strong>Objectives: </strong>This systematic review aims to evaluate studies specifically focused on the impact of automated UDDSs in reducing medication errors and streamlining processes.</p><p><strong>Methods: </strong>A literature search was performed on PubMed, Scopus, and Web of Science, focusing on peer-reviewed articles published between 2019 and 2024. The search, concluded on 24 September 2024, included studies conducted in inpatient hospital settings that assessed automated UDDS effects on medication errors, therapy management and inventory control. Outcomes examined included effects on patient safety, cost-effectiveness and inventory management. Results were synthesised qualitatively.</p><p><strong>Results: </strong>From 3346 references, four studies met the inclusion criteria: a cost-effectiveness analysis, an uncontrolled before-and-after study, and two observational studies. UDDS improved medication processes, reducing drug-related problems, medication handling and dispensing time by 50% per patient per day. Integrated with barcode scanning, UDDS lowered medication administration errors (MAEs) from 19.5% to 15.8% and harmful MAEs from 3.0% to 0.3%. Overall, medication errors dropped by 45-70%, enhancing safety and reducing manual handling risks. UDDS demonstrated cost-effectiveness by significantly reducing MAEs. The study estimated a reduction in MAEs, with a cost-effectiveness ratio of €17.69 per avoided MAE. For potentially harmful MAEs, the cost-effectiveness ratio was estimated at €30.23 per avoided error. These findings suggest substantial long-term savings potential, though the exact magnitude may vary depending on hospital size and implementation specifics CONCLUSIONS: Automated UDDSs improve patient safety by significantly reducing medication errors and delivering cost savings through better inventory management. Challenges such as high initial costs and workflow adjustments can be mitigated through gradual implementation and staff training. Further integration with other healthcare technologies, such as barcoding, real-time tracking, artificial intelligence (AI)-driven error prevention tools and fully automated restocking systems could enhance UDDS benefits and further support hospital processes.</p>","PeriodicalId":12050,"journal":{"name":"European journal of hospital pharmacy : science and practice","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European journal of hospital pharmacy : science and practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/ejhpharm-2024-004444","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Medical errors pose significant risks to patient safety and public health. Automated unit dose drug dispensing systems (UDDSs) have emerged as valuable tools to reduce medication errors while optimising economic and logistical resources.
Objectives: This systematic review aims to evaluate studies specifically focused on the impact of automated UDDSs in reducing medication errors and streamlining processes.
Methods: A literature search was performed on PubMed, Scopus, and Web of Science, focusing on peer-reviewed articles published between 2019 and 2024. The search, concluded on 24 September 2024, included studies conducted in inpatient hospital settings that assessed automated UDDS effects on medication errors, therapy management and inventory control. Outcomes examined included effects on patient safety, cost-effectiveness and inventory management. Results were synthesised qualitatively.
Results: From 3346 references, four studies met the inclusion criteria: a cost-effectiveness analysis, an uncontrolled before-and-after study, and two observational studies. UDDS improved medication processes, reducing drug-related problems, medication handling and dispensing time by 50% per patient per day. Integrated with barcode scanning, UDDS lowered medication administration errors (MAEs) from 19.5% to 15.8% and harmful MAEs from 3.0% to 0.3%. Overall, medication errors dropped by 45-70%, enhancing safety and reducing manual handling risks. UDDS demonstrated cost-effectiveness by significantly reducing MAEs. The study estimated a reduction in MAEs, with a cost-effectiveness ratio of €17.69 per avoided MAE. For potentially harmful MAEs, the cost-effectiveness ratio was estimated at €30.23 per avoided error. These findings suggest substantial long-term savings potential, though the exact magnitude may vary depending on hospital size and implementation specifics CONCLUSIONS: Automated UDDSs improve patient safety by significantly reducing medication errors and delivering cost savings through better inventory management. Challenges such as high initial costs and workflow adjustments can be mitigated through gradual implementation and staff training. Further integration with other healthcare technologies, such as barcoding, real-time tracking, artificial intelligence (AI)-driven error prevention tools and fully automated restocking systems could enhance UDDS benefits and further support hospital processes.
背景:医疗差错对患者安全和公众健康构成重大风险。自动化单位剂量药物调剂系统(udds)已成为减少用药错误同时优化经济和后勤资源的宝贵工具。目的:本系统综述旨在评估专门关注自动化udds在减少用药错误和简化流程方面的影响的研究。方法:在PubMed、Scopus和Web of Science上进行文献检索,重点检索2019 - 2024年间发表的同行评议文章。这项研究于2024年9月24日结束,包括在住院医院环境中进行的研究,评估了自动化UDDS对药物错误、治疗管理和库存控制的影响。检查的结果包括对患者安全、成本效益和库存管理的影响。对结果进行定性综合。结果:从3346篇文献中,有4项研究符合纳入标准:一项成本-效果分析,一项非对照的前后对照研究和两项观察性研究。统一发展方案改进了用药流程,减少了与药物有关的问题,减少了每位患者每天50%的药物处理和配药时间。与条形码扫描相结合,UDDS将给药错误(MAEs)从19.5%降低到15.8%,有害给药错误(MAEs)从3.0%降低到0.3%。总体而言,用药错误下降了45-70%,提高了安全性并降低了人工处理风险。UDDS通过显著降低MAEs证明了成本效益。该研究估计MAE的减少,每避免一次MAE的成本效益比为17.69欧元。对于潜在有害的MAEs,每个避免的错误的成本效益比估计为30.23欧元。结论:自动化udds通过显著减少用药错误和通过更好的库存管理实现成本节约,从而提高了患者的安全性。可以通过逐步实施和员工培训来减轻初始成本高和工作流程调整等挑战。与其他医疗保健技术(如条形码、实时跟踪、人工智能(AI)驱动的错误预防工具和全自动补货系统)的进一步集成可以增强UDDS的优势,并进一步支持医院流程。
期刊介绍:
European Journal of Hospital Pharmacy (EJHP) offers a high quality, peer-reviewed platform for the publication of practical and innovative research which aims to strengthen the profile and professional status of hospital pharmacists. EJHP is committed to being the leading journal on all aspects of hospital pharmacy, thereby advancing the science, practice and profession of hospital pharmacy. The journal aims to become a major source for education and inspiration to improve practice and the standard of patient care in hospitals and related institutions worldwide.
EJHP is the only official journal of the European Association of Hospital Pharmacists.