临床决策支持系统在抗糖尿病药物处方中的价值系统综述。

IF 3.7 2区 医学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Medical Informatics Pub Date : 2024-07-30 DOI:10.1016/j.ijmedinf.2024.105581
Nour Elhouda Tlili , Laurine Robert , Erwin Gerard , Madleen Lemaitre , Anne Vambergue , Jean-Baptiste Beuscart , Paul Quindroit
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引用次数: 0

摘要

简介慢性糖尿病及其并发症的治疗需要量身定制的血糖控制策略。糖尿病患者和并发症患者普遍使用多种药物,这增加了药物不良反应的风险。临床决策支持系统(CDSS)可能是解决这些问题的创新方案。我们的研究旨在对临床决策支持系统在抗糖尿病药物(AD)管理方面的价值进行系统性评估:我们系统地检索了 2010 年 1 月至 2023 年 10 月间发表的科学文献。检索到的研究分为非特异性研究和针对 AD 的研究。研究质量采用混合方法评估工具(Mixed Methods Appraisal Tool)进行评估。研究结果按照PRISMA指南进行报告:20项研究符合我们的纳入标准。与非特异性研究(2010-2015 年)相比,大多数针对老年痴呆症的研究是最近(2020-2023 年)进行的。这一趋势表明,人们对专为AD处方量身定制的更专业的CDSS越来越感兴趣。9 项针对二甲双胍和胰岛素的研究表明,CDSS 对不同结果产生了积极影响,包括降低了不适当的二甲双胍处方比例和低血糖事件。11 项非特异性研究显示,二甲双胍和胰岛素处方的趋势相似,但 CDSS 的影响并不显著。在所研究的 CDSSs 中,二甲双胍和胰岛素占主导地位,而钠-葡萄糖共转运体-2(SGLT-2)抑制剂和胰高血糖素样肽-1(GLP-1)受体激动剂等非特异性药物则缺乏研究:有兴趣评估 CDSS 在 ADs 治疗中应用的研究数量有限,尤其是随机临床试验,这凸显了进一步研究的必要性。我们的研究结果表明,将 CDSS 应用于抗焦虑药物处方可能会带来益处,尤其是在初级医疗机构和针对临床药剂师时。最后,建立核心结果集对于确保这些 CDSSs 评估的一致性和标准化至关重要。
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A systematic review of the value of clinical decision support systems in the prescription of antidiabetic drugs

Introduction

The management of chronic diabetes mellitus and its complications demands customized glycaemia control strategies. Polypharmacy is prevalent among people with diabetes and comorbidities, which increases the risk of adverse drug reactions. Clinical decision support systems (CDSSs) may constitute an innovative solution to these problems. The aim of our study was to conduct a systematic review assessing the value of CDSSs for the management of antidiabetic drugs (AD).

Materials and Methods

We systematically searched the scientific literature published between January 2010 and October 2023. The retrieved studies were categorized as non-specific or AD-specific. The studies’ quality was assessed using the Mixed Methods Appraisal Tool. The review’s results were reported in accordance with the PRISMA guidelines.

Results

Twenty studies met our inclusion criteria. The majority of AD-specific studies were conducted more recently (2020–2023) compared to non-specific studies (2010–2015). This trend hints at growing interest in more specialized CDSSs tailored for prescriptions of ADs. The nine AD-specific studies focused on metformin and insulin and demonstrated positive impacts of the CDSSs on different outcomes, including the reduction in the proportion of inappropriate prescriptions of ADs and in hypoglycaemia events. The 11 nonspecific studies showed similar trends for metformin and insulin prescriptions, although the CDSSs’ impacts were not significant. There was a predominance of metformin and insulin in the studied CDSSs and a lack of studies on ADs such as sodium-glucose cotransporter-2 (SGLT-2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists.

Conclusion

The limited number of studies, especially randomized clinical trials, interested in evaluating the application of CDSS in the management of ADs underscores the need for further investigations. Our findings suggest the potential benefit of applying CDSSs to the prescription of ADs particularly in primary care settings and when targeting clinical pharmacists. Finally, establishing core outcome sets is crucial for ensuring consistent and standardized evaluation of these CDSSs.

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来源期刊
International Journal of Medical Informatics
International Journal of Medical Informatics 医学-计算机:信息系统
CiteScore
8.90
自引率
4.10%
发文量
217
审稿时长
42 days
期刊介绍: International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings. The scope of journal covers: Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.; Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc. Educational computer based programs pertaining to medical informatics or medicine in general; Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.
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