• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

改善抗生素使用和耐药性的电子健康工具:一项系统综述。

E-Health Tools to Improve Antibiotic Use and Resistances: A Systematic Review.

作者信息

Carvalho Érico, Estrela Marta, Zapata-Cachafeiro Maruxa, Figueiras Adolfo, Roque Fátima, Herdeiro Maria Teresa

机构信息

iBiMED-Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, 3800 Aveiro, Portugal.

Department of Preventive Medicine and Public Health, University of Santiago de Compostela, 15702 Santiago de Compostela, Spain.

出版信息

Antibiotics (Basel). 2020 Aug 12;9(8):505. doi: 10.3390/antibiotics9080505.

DOI:10.3390/antibiotics9080505
PMID:32806583
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7460242/
Abstract

(1) Background: e-Health tools, especially in the form of clinical decision support systems (CDSSs), have been emerging more quickly than ever before. The main objective of this systematic review is to assess the influence of these tools on antibiotic use for respiratory tract infections. (2) Methods: The scientific databases, MEDLINE-PubMed and EMBASE, were searched. The search was conducted by two independent researchers. The search strategy was mainly designed to identify relevant studies on the effectiveness of CDSSs in improving antibiotic use, as a primary outcome, and on the acceptability and usability of CDSSs, as a secondary outcome. (3) Results: After the selection, 22 articles were included. The outcomes were grouped either into antibiotics prescription practices or adherence to guidelines concerning antibiotics prescription. Overall, 15 out of the 22 studies had statistically significant outcomes related to the interventions. (4) Conclusions: Overall, the results show a positive impact on the prescription and conscientious use of antibiotics for respiratory tract infections, both with respect to patients and prescribing healthcare professionals. CDSSs have been shown to have great potential as powerful tools for improving both clinical care and patient outcomes.

摘要

(1) 背景:电子健康工具,尤其是临床决策支持系统(CDSS)的形式,比以往任何时候都出现得更快。本系统评价的主要目的是评估这些工具对呼吸道感染抗生素使用的影响。(2) 方法:检索了科学数据库MEDLINE-PubMed和EMBASE。检索由两名独立研究人员进行。检索策略主要旨在识别关于CDSS在改善抗生素使用有效性方面的相关研究作为主要结果,以及关于CDSS可接受性和可用性的相关研究作为次要结果。(3) 结果:筛选后,纳入了22篇文章。结果分为抗生素处方实践或关于抗生素处方的指南依从性。总体而言,22项研究中有15项与干预措施相关的结果具有统计学意义。(4) 结论:总体而言,结果表明对呼吸道感染患者和开处方的医疗保健专业人员在抗生素处方和合理使用方面都有积极影响。CDSS已被证明作为改善临床护理和患者结局的强大工具具有巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7460242/67ae20ee3912/antibiotics-09-00505-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7460242/67ae20ee3912/antibiotics-09-00505-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6645/7460242/67ae20ee3912/antibiotics-09-00505-g001.jpg

相似文献

1
E-Health Tools to Improve Antibiotic Use and Resistances: A Systematic Review.改善抗生素使用和耐药性的电子健康工具:一项系统综述。
Antibiotics (Basel). 2020 Aug 12;9(8):505. doi: 10.3390/antibiotics9080505.
2
Clinical Decision Support Systems for Antibiotic Prescribing: An Inventory of Current French Language Tools.抗生素处方临床决策支持系统:当前法语工具清单。
Antibiotics (Basel). 2022 Mar 14;11(3):384. doi: 10.3390/antibiotics11030384.
3
Information technology interventions to improve antibiotic prescribing for patients with acute respiratory infection: a systematic review.信息技术干预措施改善急性呼吸道感染患者的抗生素处方:系统评价。
Clin Microbiol Infect. 2021 Jun;27(6):838-845. doi: 10.1016/j.cmi.2021.03.030. Epub 2021 Apr 1.
4
The impact of pharmacy computerised clinical decision support on prescribing, clinical and patient outcomes: a systematic review of the literature.药学计算机化临床决策支持对处方、临床及患者结局的影响:文献系统评价
Int J Pharm Pract. 2010 Apr;18(2):69-87.
5
Computerized Clinical Decision Support Systems and Antibiotic Prescribing: A Systematic Review and Meta-analysis.计算机化临床决策支持系统与抗生素处方:系统评价和荟萃分析。
Clin Ther. 2019 Mar;41(3):552-581. doi: 10.1016/j.clinthera.2019.01.018. Epub 2019 Feb 28.
6
Factors determining the adherence to antimicrobial guidelines and the adoption of computerised decision support systems by physicians: A qualitative study in three European hospitals.影响医生遵循抗菌药物指南和采用计算机化决策支持系统的因素:在三家欧洲医院进行的定性研究。
Int J Med Inform. 2020 Sep;141:104233. doi: 10.1016/j.ijmedinf.2020.104233. Epub 2020 Jul 13.
7
Do computerised clinical decision support systems for prescribing change practice? A systematic review of the literature (1990-2007).用于处方开具的计算机化临床决策支持系统能否改变医疗行为?对文献(1990 - 2007年)的系统评价
BMC Health Serv Res. 2009 Aug 28;9:154. doi: 10.1186/1472-6963-9-154.
8
The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: a systematic review and meta-analysis.临床用药决策支持系统对患者结局和医生实践表现的影响:系统评价和荟萃分析。
BMC Med Inform Decis Mak. 2021 Mar 10;21(1):98. doi: 10.1186/s12911-020-01376-8.
9
Use of clinical decision support systems for kidney-related drug prescribing: a systematic review.临床决策支持系统在与肾脏相关的药物处方中的应用:系统评价。
Am J Kidney Dis. 2011 Dec;58(6):903-14. doi: 10.1053/j.ajkd.2011.07.022. Epub 2011 Sep 23.
10
Can evidence-based decision support tools transform antibiotic management? A systematic review and meta-analyses.基于证据的决策支持工具能否改变抗生素管理?系统评价和荟萃分析。
J Antimicrob Chemother. 2020 May 1;75(5):1099-1111. doi: 10.1093/jac/dkz543.

引用本文的文献

1
Electronic Clinical Decision Support Tools to Manage Patients with Lower Respiratory Tract Infection: Clinicians' Perspectives in Sri Lanka.用于管理下呼吸道感染患者的电子临床决策支持工具:斯里兰卡临床医生的观点
Am J Trop Med Hyg. 2025 Mar 11;112(5):1168-1174. doi: 10.4269/ajtmh.24-0576. Print 2025 May 7.
2
Tackling antibiotic resistance-insights from eHealthResp's educational interventions.应对抗生素耐药性——来自 eHealthResp 教育干预的见解。
NPJ Prim Care Respir Med. 2024 Nov 13;34(1):37. doi: 10.1038/s41533-024-00388-5.
3
Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation.

本文引用的文献

1
An overview of clinical decision support systems: benefits, risks, and strategies for success.临床决策支持系统概述:益处、风险及成功策略。
NPJ Digit Med. 2020 Feb 6;3:17. doi: 10.1038/s41746-020-0221-y. eCollection 2020.
2
A Scale to Assess the Methodological Quality of Studies Assessing Usability of Electronic Health Products and Services: Delphi Study Followed by Validity and Reliability Testing.评估电子健康产品及服务可用性研究的方法学质量的量表:德尔菲研究及效度与信度测试
J Med Internet Res. 2019 Nov 15;21(11):e14829. doi: 10.2196/14829.
3
Using Clinical Decision Support Within the Electronic Health Record to Reduce Incorrect Prescribing for Acute Sinusitis.
医院抗生素处方决策支持系统:对医院管理者进行实施因素调查。
BMC Med Inform Decis Mak. 2024 Apr 15;24(1):96. doi: 10.1186/s12911-024-02490-7.
4
The Effectiveness of Interactive Dashboards to Optimise Antibiotic Prescribing in Primary Care: A Systematic Review.交互式仪表板在优化基层医疗中抗生素处方方面的有效性:一项系统评价。
Antibiotics (Basel). 2023 Jan 10;12(1):136. doi: 10.3390/antibiotics12010136.
5
Antibiotic prescription using a digital decision support system: a register-based study of patients with hard-to-heal ulcers in Sweden.使用数字化决策支持系统开具抗生素处方:瑞典难愈性溃疡患者的基于登记的研究。
BMJ Open. 2022 Oct 27;12(10):e060683. doi: 10.1136/bmjopen-2021-060683.
6
Perception of E-health Technology Scale in Chinese Brief (PETS-C Brief): Translation, item reduction, and psychometric testing.中文版简易电子健康技术感知量表(PETS-C简易版):翻译、条目删减及心理测量学测试
Digit Health. 2022 Sep 21;8:20552076221126055. doi: 10.1177/20552076221126055. eCollection 2022 Jan-Dec.
7
eHealthResp, a Digital Intervention to Improve Antibiotic Prescribing in Respiratory Infections: A Pilot Study.eHealthResp,一种改善呼吸道感染抗生素处方的数字干预措施:一项试点研究。
Life (Basel). 2022 Jul 30;12(8):1160. doi: 10.3390/life12081160.
8
Improving Pharmacists' Awareness of Inadequate Antibiotic Use for URTIs through an Educational Intervention: A Pilot Study.通过教育干预提高药剂师对急性上呼吸道感染抗生素使用不当的认识:一项试点研究。
Healthcare (Basel). 2022 Jul 25;10(8):1385. doi: 10.3390/healthcare10081385.
9
A roadmap for the development and evaluation of the eHealthResp online course.eHealthResp在线课程的开发与评估路线图。
Digit Health. 2022 Mar 24;8:20552076221089088. doi: 10.1177/20552076221089088. eCollection 2022 Jan-Dec.
10
Clinical Decision Support Systems for Antibiotic Prescribing: An Inventory of Current French Language Tools.抗生素处方临床决策支持系统:当前法语工具清单。
Antibiotics (Basel). 2022 Mar 14;11(3):384. doi: 10.3390/antibiotics11030384.
利用电子健康记录中的临床决策支持来减少急性鼻窦炎的不当处方
J Patient Cent Res Rev. 2018 Jul 30;5(3):196-203. doi: 10.17294/2330-0698.1619. eCollection 2018 Summer.
4
Antibiotic Use and Outcomes After Implementation of the Drug Resistance in Pneumonia Score in ED Patients With Community-Onset Pneumonia.抗生素使用与 ED 社区获得性肺炎患者耐药性肺炎评分实施后的结果。
Chest. 2019 Nov;156(5):843-851. doi: 10.1016/j.chest.2019.04.093. Epub 2019 May 8.
5
Computerized Clinical Decision Support Systems and Antibiotic Prescribing: A Systematic Review and Meta-analysis.计算机化临床决策支持系统与抗生素处方:系统评价和荟萃分析。
Clin Ther. 2019 Mar;41(3):552-581. doi: 10.1016/j.clinthera.2019.01.018. Epub 2019 Feb 28.
6
Effectiveness and safety of electronically delivered prescribing feedback and decision support on antibiotic use for respiratory illness in primary care: REDUCE cluster randomised trial.电子传递处方反馈和决策支持对初级保健中呼吸道疾病抗生素使用的有效性和安全性:RE- DUCE 集群随机试验。
BMJ. 2019 Feb 12;364:l236. doi: 10.1136/bmj.l236.
7
Antibiotic resistance: a rundown of a global crisis.抗生素耐药性:全球危机概览
Infect Drug Resist. 2018 Oct 10;11:1645-1658. doi: 10.2147/IDR.S173867. eCollection 2018.
8
Role of Technology in Antimicrobial Stewardship.技术在抗菌药物管理中的作用。
Med Clin North Am. 2018 Sep;102(5):955-963. doi: 10.1016/j.mcna.2018.05.007. Epub 2018 Jul 14.
9
Prevalence of Inappropriate Antibiotic Prescribing in Primary Care Clinics within a Veterans Affairs Health Care System.退伍军人事务医疗保健系统内初级保健诊所中不适当抗生素处方的流行情况。
Antimicrob Agents Chemother. 2018 Jul 27;62(8). doi: 10.1128/AAC.00337-18. Print 2018 Aug.
10
Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature.决定电子健康干预成败的因素:文献系统综述
J Med Internet Res. 2018 May 1;20(5):e10235. doi: 10.2196/10235.