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本文引用的文献

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A systematic review of trials evaluating success factors of interventions with computerised clinical decision support.一项系统评价试验,评估具有计算机临床决策支持的干预措施的成功因素。
Implement Sci. 2018 Aug 20;13(1):114. doi: 10.1186/s13012-018-0790-1.
2
The design of decisions: Matching clinical decision support recommendations to Nielsen's design heuristics.决策设计:将临床决策支持建议与尼尔森设计启发法相匹配。
Int J Med Inform. 2018 Sep;117:19-25. doi: 10.1016/j.ijmedinf.2018.05.008. Epub 2018 May 21.
3
The GUIDES checklist: development of a tool to improve the successful use of guideline-based computerised clinical decision support.GUIDES 清单:开发一种工具以提高基于指南的计算机临床决策支持的成功使用。
Implement Sci. 2018 Jun 25;13(1):86. doi: 10.1186/s13012-018-0772-3.
4
Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model.理解影响老年人采用移动健康技术的因素:技术接受与使用统一理论模型的扩展
Int J Med Inform. 2017 May;101:75-84. doi: 10.1016/j.ijmedinf.2017.02.002. Epub 2017 Feb 10.
5
Effect of Behavioral Interventions on Inappropriate Antibiotic Prescribing Among Primary Care Practices: A Randomized Clinical Trial.行为干预对基层医疗实践中不适当抗生素处方的影响:一项随机临床试验。
JAMA. 2016 Feb 9;315(6):562-70. doi: 10.1001/jama.2016.0275.
6
The perils of meta-regression to identify clinical decision support system success factors.通过Meta回归分析确定临床决策支持系统成功因素的风险。
J Biomed Inform. 2015 Aug;56:65-8. doi: 10.1016/j.jbi.2015.05.007. Epub 2015 May 18.
7
Adoption of clinical decision support systems in a developing country: Antecedents and outcomes of physician's threat to perceived professional autonomy.发展中国家临床决策支持系统的采用:医生对感知到的职业自主性受到威胁的前因及后果
Int J Med Inform. 2015 Aug;84(8):548-60. doi: 10.1016/j.ijmedinf.2015.03.007. Epub 2015 Apr 8.
8
Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis.与电子健康记录相关的计算机化决策支持系统的有效性:一项系统评价和荟萃分析。
Am J Public Health. 2014 Dec;104(12):e12-22. doi: 10.2105/AJPH.2014.302164. Epub 2014 Oct 16.
9
Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: an extension of the UTAUT.解释急症护理环境中护士对电子病历的接受度、实际使用情况和满意度的建模因素:技术接受与使用统一理论(UTAUT)的扩展
Int J Med Inform. 2015 Jan;84(1):36-47. doi: 10.1016/j.ijmedinf.2014.09.004. Epub 2014 Oct 3.
10
Physicians' responses to clinical decision support on an intensive care unit--comparison of four different alerting methods.医生对重症监护病房临床决策支持的反应——四种不同警报方法的比较。
Artif Intell Med. 2013 Sep;59(1):33-8. doi: 10.1016/j.artmed.2013.05.002. Epub 2013 Jun 6.

系统评价 CDS 文献中的理论构建。

A systematic review of theoretical constructs in CDS literature.

机构信息

Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.

出版信息

BMC Med Inform Decis Mak. 2021 Mar 17;21(1):102. doi: 10.1186/s12911-021-01465-2.

DOI:10.1186/s12911-021-01465-2
PMID:33731089
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7968272/
Abstract

BACKGROUND

Studies that examine the adoption of clinical decision support (CDS) by healthcare providers have generally lacked a theoretical underpinning. The Unified Theory of Acceptance and Use of Technology (UTAUT) model may provide such a theory-based explanation; however, it is unknown if the model can be applied to the CDS literature.

OBJECTIVE

Our overall goal was to develop a taxonomy based on UTAUT constructs that could reliably characterize CDS interventions.

METHODS

We used a two-step process: (1) identified randomized controlled trials meeting comparative effectiveness criteria, e.g., evaluating the impact of CDS interventions with and without specific features or implementation strategies; (2) iteratively developed and validated a taxonomy for characterizing differential CDS features or implementation strategies using three raters.

RESULTS

Twenty-five studies with 48 comparison arms were identified. We applied three constructs from the UTAUT model and added motivational control to characterize CDS interventions. Inter-rater reliability was as follows for model constructs: performance expectancy (κ = 0.79), effort expectancy (κ = 0.85), social influence (κ = 0.71), and motivational control (κ = 0.87).

CONCLUSION

We found that constructs from the UTAUT model and motivational control can reliably characterize features and associated implementation strategies. Our next step is to examine the quantitative relationships between constructs and CDS adoption.

摘要

背景

研究医疗保健提供者采用临床决策支持 (CDS) 的研究通常缺乏理论基础。统一技术接受和使用理论 (UTAUT) 模型可能提供这样一个基于理论的解释;然而,该模型是否适用于 CDS 文献尚不清楚。

目的

我们的总体目标是基于 UTAUT 构建来开发一个分类法,该分类法可以可靠地描述 CDS 干预措施。

方法

我们使用了两步法:(1) 确定符合比较有效性标准的随机对照试验,例如,评估具有和不具有特定特征或实施策略的 CDS 干预措施的影响;(2) 使用三名评分员,迭代地开发和验证用于描述不同 CDS 特征或实施策略的分类法。

结果

确定了 25 项具有 48 个对照臂的研究。我们应用了 UTAUT 模型的三个构建,并添加了动机控制来描述 CDS 干预措施。模型构建的组内一致性如下:绩效预期 (κ=0.79)、努力预期 (κ=0.85)、社会影响 (κ=0.71) 和动机控制 (κ=0.87)。

结论

我们发现 UTAUT 模型和动机控制的构建可以可靠地描述特征和相关的实施策略。我们的下一步是研究构建与 CDS 采用之间的定量关系。