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影响医院抗生素处方决策支持系统实施的因素:系统评价。

Factors influencing the implementation of decision support systems for antibiotic prescription in hospitals: a systematic review.

机构信息

School of Life Sciences, Department Digital Health Sciences and Biomedicine, Professorship of Digital Public Health, University of Siegen, 57068, Siegen, Germany.

出版信息

BMC Med Inform Decis Mak. 2023 Feb 6;23(1):27. doi: 10.1186/s12911-023-02124-4.

Abstract

BACKGROUND

Antibiotic resistance is a major health threat. Inappropriate antibiotic use has been shown to be an important determinant of the emergence of antibiotic resistance. Decision support systems for antimicrobial management can support clinicians to optimize antibiotic prescription.

OBJECTIVE

The aim of this systematic review is to identify factors influencing the implementation of decision support systems for antibiotic prescription in hospitals.

METHODS

A systematic search of factors impeding or facilitating successful implementation of decision support systems for antibiotic prescription was performed in January 2022 in the databases PubMed, Web of Science and The Cochrane Library. Only studies were included which comprised decision support systems in hospitals for prescribing antibiotic therapy, published in English with a qualitative, quantitative or mixed-methods study design and between 2011 and 2021. Factors influencing the implementation were identified through text analysis by two reviewers.

RESULTS

A total of 14 publications were identified matching the inclusion criteria. The majority of factors relate to technological and organizational aspects of decision support system implementation. Some factors include the integration of the decision support systems into existing systems, system design, consideration of potential end-users as well as training and support for end-users. In addition, user-related factors, like user attitude towards the system, computer literacy and prior experience with the system seem to be important for successful implementation of decision support systems for antibiotic prescription in hospitals.

CONCLUSION

The results indicate a broad spectrum of factors of decision support system implementation for antibiotic prescription and contributes to the literature by identifying important organizational as well as user-related factors. Wider organizational dimensions as well as the interaction between user and technology appear important for supporting implementation.

摘要

背景

抗生素耐药性是一个主要的健康威胁。不合理使用抗生素已被证明是抗生素耐药性出现的一个重要决定因素。抗菌药物管理决策支持系统可以帮助临床医生优化抗生素处方。

目的

本系统评价旨在确定影响医院抗生素处方决策支持系统实施的因素。

方法

2022 年 1 月,我们在 PubMed、Web of Science 和 The Cochrane Library 数据库中系统地检索了影响抗生素处方决策支持系统成功实施的因素,仅纳入了在医院中实施抗生素治疗处方决策支持系统的研究,这些研究发表在英语期刊上,采用定性、定量或混合方法设计,且发表时间在 2011 年至 2021 年之间。通过两位评审员的文本分析确定了影响实施的因素。

结果

共确定了 14 篇符合纳入标准的出版物。大多数因素与决策支持系统实施的技术和组织方面有关。一些因素包括将决策支持系统集成到现有系统中、系统设计、考虑潜在的最终用户以及为最终用户提供培训和支持。此外,用户相关因素,如用户对系统的态度、计算机素养和对系统的先前经验,似乎对医院抗生素处方决策支持系统的成功实施很重要。

结论

结果表明,决策支持系统实施抗生素处方的因素范围广泛,并通过确定重要的组织和用户相关因素为文献做出了贡献。更广泛的组织层面以及用户与技术之间的相互作用对于支持实施似乎很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7bf/9903563/bbff5f46d049/12911_2023_2124_Fig1_HTML.jpg

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