• 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

影响临床决策支持系统(CDSS)在抗生素管理中应用的因素。

Factors That Impact the Adoption of Clinical Decision Support Systems (CDSS) for Antibiotic Management.

机构信息

School of Public Health, University of Adelaide, Adelaide 5005, Australia.

Adelaide Health Technology Assessment (AHTA), School of Public Health, University of Adelaide, Adelaide 5005, Australia.

出版信息

Int J Environ Res Public Health. 2021 Feb 16;18(4):1901. doi: 10.3390/ijerph18041901.

DOI:10.3390/ijerph18041901
PMID:33669353
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7920296/
Abstract

The study evaluated individual and setting-specific factors that moderate clinicians' perception regarding use of clinical decision support systems (CDSS) for antibiotic management. A cross-sectional online survey examined clinicians' perceptions about CDSS implementation for antibiotic management in Australia. Multivariable logistic regression determined the association between drivers of CDSS adoption and different moderators. Clinical experience, CDSS use and care setting were important predictors of clinicians' perception concerning CDSS adoption. Compared to nonusers, CDSS users were less likely to lack confidence in CDSS (OR = 0.63, 95%, CI = 0.32, 0.94) and consider it a threat to professional autonomy (OR = 0.47, 95%, CI = 0.08, 0.83). Conversely, there was higher likelihood in experienced clinicians (>20 years) to distrust CDSS (OR = 1.58, 95%, CI = 1.08, 2.23) due to fear of comprising their clinical judgement (OR = 1.68, 95%, CI = 1.27, 2.85). In primary care, clinicians were more likely to perceive time constraints (OR = 1.96, 95%, CI = 1.04, 3.70) and patient preference (OR = 1.84, 95%, CI = 1.19, 2.78) as barriers to CDSS adoption for antibiotic prescribing. Our findings provide differentiated understanding of the CDSS implementation landscape by identifying different individual, organisational and system-level factors that influence system adoption. The individual and setting characteristics can help understand the variability in CDSS adoption for antibiotic management in different clinicians.

摘要

本研究评估了个体和环境特定因素对临床医生使用临床决策支持系统(CDSS)进行抗生素管理的看法的影响。一项横断面在线调查研究了澳大利亚临床医生对 CDSS 在抗生素管理中的实施情况的看法。多变量逻辑回归确定了 CDSS 采用的驱动因素与不同调节因素之间的关联。临床经验、CDSS 的使用和护理环境是临床医生对 CDSS 采用看法的重要预测因素。与非使用者相比,CDSS 用户不太可能对 CDSS 缺乏信心(OR = 0.63,95%CI = 0.32,0.94),认为它对专业自主权构成威胁(OR = 0.47,95%CI = 0.08,0.83)。相反,经验丰富的临床医生(>20 年)更有可能因为担心影响临床判断(OR = 1.68,95%CI = 1.27,2.85)而不信任 CDSS(OR = 1.58,95%CI = 1.08,2.23)。在初级保健中,临床医生更有可能将时间限制(OR = 1.96,95%CI = 1.04,3.70)和患者偏好(OR = 1.84,95%CI = 1.19,2.78)视为采用 CDSS 进行抗生素处方的障碍。我们的研究结果通过确定影响系统采用的不同个体、组织和系统层面因素,提供了对 CDSS 实施情况的差异化理解。个体和环境特征有助于理解不同临床医生对抗生素管理中 CDSS 采用的变异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/ac235b6f2652/ijerph-18-01901-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/c1bf0d0f3865/ijerph-18-01901-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/fced7ec1ec13/ijerph-18-01901-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/352bcea32502/ijerph-18-01901-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/c6f9a798f902/ijerph-18-01901-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/9a15b63aad61/ijerph-18-01901-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/3cf200f40d52/ijerph-18-01901-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/ac235b6f2652/ijerph-18-01901-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/c1bf0d0f3865/ijerph-18-01901-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/fced7ec1ec13/ijerph-18-01901-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/352bcea32502/ijerph-18-01901-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/c6f9a798f902/ijerph-18-01901-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/9a15b63aad61/ijerph-18-01901-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/3cf200f40d52/ijerph-18-01901-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fca/7920296/ac235b6f2652/ijerph-18-01901-g007.jpg

相似文献

1
Factors That Impact the Adoption of Clinical Decision Support Systems (CDSS) for Antibiotic Management.影响临床决策支持系统(CDSS)在抗生素管理中应用的因素。
Int J Environ Res Public Health. 2021 Feb 16;18(4):1901. doi: 10.3390/ijerph18041901.
2
Paving the Way for the Implementation of a Decision Support System for Antibiotic Prescribing in Primary Care in West Africa: Preimplementation and Co-Design Workshop With Physicians.为西非初级保健中抗生素处方决策支持系统的实施铺平道路:与医生的实施前和协同设计研讨会
J Med Internet Res. 2020 Jul 20;22(7):e17940. doi: 10.2196/17940.
3
Appropriateness of intended antibiotic prescribing using clinical case vignettes in primary care, and related factors.基层医疗中使用临床病例简述评估抗生素应用适宜性及其相关因素。
Eur J Gen Pract. 2024 Dec;30(1):2351811. doi: 10.1080/13814788.2024.2351811. Epub 2024 May 20.
4
Adoption of a clinical decision support system to promote judicious use of antibiotics for acute respiratory infections in primary care.采用临床决策支持系统促进初级保健中急性呼吸道感染抗生素的合理使用。
Int J Med Inform. 2012 Aug;81(8):521-6. doi: 10.1016/j.ijmedinf.2012.03.002. Epub 2012 Apr 5.
5
Using formative evaluation to improve uptake of a web-based tool to support antimicrobial stewardship.利用形成性评价提高基于网络的工具在支持抗菌药物管理中的采用率。
J Clin Pharm Ther. 2013 Dec;38(6):490-7. doi: 10.1111/jcpt.12093. Epub 2013 Aug 29.
6
Effects of computer-aided clinical decision support systems in improving antibiotic prescribing by primary care providers: a systematic review.计算机辅助临床决策支持系统对改善基层医疗服务提供者抗生素处方行为的影响:一项系统综述
J Am Med Inform Assoc. 2015 Jan;22(1):236-42. doi: 10.1136/amiajnl-2014-002886. Epub 2014 Aug 14.
7
Psychosocial determinants of physicians' acceptance of recommendations by antibiotic computerised decision support systems: A mixed methods study.抗生素计算机决策支持系统推荐意见的医生接受的心理社会决定因素:一项混合方法研究。
Int J Antimicrob Agents. 2015 Mar;45(3):295-304. doi: 10.1016/j.ijantimicag.2014.10.009. Epub 2014 Nov 13.
8
Barriers and Facilitators to Adoption of a Web-based Antibiotic Decision Support System.基于网络的抗生素决策支持系统应用的障碍与促进因素
South Med Rev. 2012 Dec;5(2):42-50. Epub 2012 Dec 27.
9
Inappropriate antibiotic prescribing: understanding clinicians’ perceptions to enable changes in prescribing practices.不适当的抗生素处方:了解临床医生的看法,以改变处方实践。
Aust Health Rev. 2022 Feb;46(1):21-27. doi: 10.1071/AH21197.
10
A computerized decision support system (CDSS) for antibiotic prescription in primary care-Antibioclic: implementation, adoption and sustainable use in the era of extended antimicrobial resistance.计算机化决策支持系统(CDSS)在初级保健中的抗生素处方应用——Antibioclic:在扩大抗菌药物耐药性时代的实施、采用和可持续使用。
J Antimicrob Chemother. 2020 Aug 1;75(8):2353-2362. doi: 10.1093/jac/dkaa167.

引用本文的文献

1
Factors Influencing Health Workers' Acceptance of Guideline-Based Clinical Decision Support Systems for Preventive Services in Thailand: Questionnaire-Based Study.影响泰国卫生工作者对基于指南的预防性服务临床决策支持系统接受度的因素:基于问卷调查的研究
JMIR Hum Factors. 2025 Jul 16;12:e57314. doi: 10.2196/57314.
2
Optimizing Clinical Decision Support System Functionality by Leveraging Specific Human-Computer Interaction Elements: Insights From a Systematic Review.通过利用特定人机交互元素优化临床决策支持系统功能:系统评价的见解
JMIR Hum Factors. 2025 May 6;12:e69333. doi: 10.2196/69333.
3
Investigating Clinicians' Intentions and Influencing Factors for Using an Intelligence-Enabled Diagnostic Clinical Decision Support System in Health Care Systems: Cross-Sectional Survey.

本文引用的文献

1
Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials.计算机化临床决策支持系统与护理质量的绝对改善:对照临床试验的荟萃分析。
BMJ. 2020 Sep 17;370:m3216. doi: 10.1136/bmj.m3216.
2
A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping.研究临床决策支持系统(BEAR)实施的概念框架:文献回顾与概念映射。
J Med Internet Res. 2020 Aug 6;22(8):e18388. doi: 10.2196/18388.
3
Factors determining the adherence to antimicrobial guidelines and the adoption of computerised decision support systems by physicians: A qualitative study in three European hospitals.
调查医疗保健系统中临床医生使用智能诊断临床决策支持系统的意图及影响因素:横断面调查
J Med Internet Res. 2025 Apr 7;27:e62732. doi: 10.2196/62732.
4
The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study.心血管疾病临床决策支持系统的构建与应用:多模态数据驱动的开发与验证研究
JMIR Med Inform. 2025 Mar 3;13:e63186. doi: 10.2196/63186.
5
Promoting the implementation of clinical decision support systems in primary care: A qualitative exploration of implementing a Fractional exhaled Nitric Oxide (FeNO)-guided decision support system in asthma consultations.促进基层医疗中临床决策支持系统的实施:对在哮喘会诊中实施呼出气一氧化氮(FeNO)引导的决策支持系统的定性探索。
PLoS One. 2025 Feb 13;20(2):e0317613. doi: 10.1371/journal.pone.0317613. eCollection 2025.
6
The Willingness of Doctors to Adopt Artificial Intelligence-Driven Clinical Decision Support Systems at Different Hospitals in China: Fuzzy Set Qualitative Comparative Analysis of Survey Data.中国不同医院医生采用人工智能驱动的临床决策支持系统的意愿:基于调查数据的模糊集定性比较分析
J Med Internet Res. 2025 Jan 7;27:e62768. doi: 10.2196/62768.
7
Barriers and facilitators to the implementation and adoption of computerised clinical decision support systems: an umbrella review protocol.计算机化临床决策支持系统实施与应用的障碍及促进因素:一项系统综述方案
Syst Rev. 2025 Jan 2;14(1):2. doi: 10.1186/s13643-024-02745-4.
8
The Role of Clinician-Developed Applications in Promoting Adherence to Evidence-Based Guidelines: Pilot Study.临床医生开发的应用程序在促进循证指南依从性方面的作用:试点研究
JMIR Cardio. 2024 Dec 31;8:e55958. doi: 10.2196/55958.
9
The unmet needs of adopting clinical decision support system among physicians in Palestinian hospitals.巴勒斯坦医院医生在采用临床决策支持系统方面未得到满足的需求。
PLoS One. 2024 Dec 12;19(12):e0310765. doi: 10.1371/journal.pone.0310765. eCollection 2024.
10
Benefits of Clinical Decision Support Systems for the Management of Noncommunicable Chronic Diseases: Targeted Literature Review.临床决策支持系统在非传染性慢性病管理中的益处:针对性文献综述
Interact J Med Res. 2024 Nov 27;13:e58036. doi: 10.2196/58036.
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.
4
Barriers and Facilitators to Implementation of Medication Decision Support Systems in Electronic Medical Records: Mixed Methods Approach Based on Structural Equation Modeling and Qualitative Analysis.电子病历中药物决策支持系统实施的障碍与促进因素:基于结构方程模型和定性分析的混合方法研究
JMIR Med Inform. 2020 Jul 22;8(7):e18758. doi: 10.2196/18758.
5
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.
6
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.
7
Do Physicians Prefer to Complete Online or Mail Surveys? Findings From a National Longitudinal Survey.医生更喜欢在线完成还是邮寄完成调查?一项全国性纵向调查的结果。
Eval Health Prof. 2019 Mar;42(1):41-70. doi: 10.1177/0163278718807744. Epub 2018 Nov 1.
8
Clinical Decision Support Tools Need to Improve More Than Just Process Outcomes.临床决策支持工具需要改进的不仅仅是流程结果。
Anesthesiology. 2018 Sep;129(3):614. doi: 10.1097/ALN.0000000000002349.
9
Participatory implementation of an antibiotic stewardship programme supported by an innovative surveillance and clinical decision-support system.参与式实施抗生素管理计划,该计划得到创新监测和临床决策支持系统的支持。
J Hosp Infect. 2018 Nov;100(3):257-264. doi: 10.1016/j.jhin.2018.07.034. Epub 2018 Jul 30.
10
Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis.医生不采用临床决策支持系统的原因:批判性分析
JMIR Med Inform. 2018 Apr 18;6(2):e24. doi: 10.2196/medinform.8912.