干预研究如何衡量初级和长期护理中与用药安全相关的临床决策支持系统的有效性:系统综述。

IF 3.3 3区 医学 Q2 MEDICAL INFORMATICS BMC Medical Informatics and Decision Making Pub Date : 2024-07-04 DOI:10.1186/s12911-024-02596-y
David Lampe, John Grosser, Dennis Grothe, Birthe Aufenberg, Daniel Gensorowsky, Julian Witte, Wolfgang Greiner
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引用次数: 0

摘要

背景:用药错误和相关药物不良事件(ADE)是全球发病率和死亡率的主要原因。近年来,预防用药错误已成为医疗保健系统的重中之重。为了提高用药安全,计算机化的临床决策支持系统(CDSS)越来越多地被整合到用药流程中。因此,越来越多的研究对 CDSS 在用药安全方面的有效性进行了调查。然而,所使用的结果测量方法各不相同,导致证据不明确。本研究的主要目的是对评估 CDSS 对初级和长期护理中用药安全影响的干预性研究中使用的结果进行总结和分类:我们系统检索了 PubMed、Embase、CINAHL 和 Cochrane 图书馆中评估 CDSS 对用药安全和患者相关结果影响的干预性研究。我们从收录的研究中提取了方法学特征、结果和经验结论。研究结果分为三大类:过程相关、危害相关和成本相关。使用证据项目偏倚风险工具评估偏倚风险:32项研究符合纳入标准。几乎所有研究(n = 31)都使用了与过程相关的结果,其次是与伤害相关的结果(n = 11)。只有三项研究使用了与成本相关的结果。大多数研究只使用了一个类别的结果,没有研究使用了所有三个类别的结果。所纳入研究的结果定义和操作方法差异很大,即使在结果类别中也是如此。总体而言,有关 CDSS 效果的证据参差不齐。在 15 项与过程相关的主要结果研究中,有 9 项(60%)证明了明显的干预效果,但在 5 项与伤害相关的主要结果研究中,只有 1 项(20%)证明了明显的干预效果。纳入的研究在方法上存在一些问题,限制了研究结果的可比性和普遍性:关于 CDSS 效果的证据目前尚无定论,部分原因是文献中的结果定义不一致和方法问题。因此,需要更多高质量的研究来全面说明 CDSS 的有效性。这些研究应遵循既定的方法指南和建议,使用一整套与危害、过程和成本相关的结果,并采用一致认可的统一定义:CRD42023464746。
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How intervention studies measure the effectiveness of medication safety-related clinical decision support systems in primary and long-term care: a systematic review.

Background: Medication errors and associated adverse drug events (ADE) are a major cause of morbidity and mortality worldwide. In recent years, the prevention of medication errors has become a high priority in healthcare systems. In order to improve medication safety, computerized Clinical Decision Support Systems (CDSS) are increasingly being integrated into the medication process. Accordingly, a growing number of studies have investigated the medication safety-related effectiveness of CDSS. However, the outcome measures used are heterogeneous, leading to unclear evidence. The primary aim of this study is to summarize and categorize the outcomes used in interventional studies evaluating the effects of CDSS on medication safety in primary and long-term care.

Methods: We systematically searched PubMed, Embase, CINAHL, and Cochrane Library for interventional studies evaluating the effects of CDSS targeting medication safety and patient-related outcomes. We extracted methodological characteristics, outcomes and empirical findings from the included studies. Outcomes were assigned to three main categories: process-related, harm-related, and cost-related. Risk of bias was assessed using the Evidence Project risk of bias tool.

Results: Thirty-two studies met the inclusion criteria. Almost all studies (n = 31) used process-related outcomes, followed by harm-related outcomes (n = 11). Only three studies used cost-related outcomes. Most studies used outcomes from only one category and no study used outcomes from all three categories. The definition and operationalization of outcomes varied widely between the included studies, even within outcome categories. Overall, evidence on CDSS effectiveness was mixed. A significant intervention effect was demonstrated by nine of fifteen studies with process-related primary outcomes (60%) but only one out of five studies with harm-related primary outcomes (20%). The included studies faced a number of methodological problems that limit the comparability and generalizability of their results.

Conclusions: Evidence on the effectiveness of CDSS is currently inconclusive due in part to inconsistent outcome definitions and methodological problems in the literature. Additional high-quality studies are therefore needed to provide a comprehensive account of CDSS effectiveness. These studies should follow established methodological guidelines and recommendations and use a comprehensive set of harm-, process- and cost-related outcomes with agreed-upon and consistent definitions.

Prospero registration: CRD42023464746.

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来源期刊
CiteScore
7.20
自引率
5.70%
发文量
297
审稿时长
1 months
期刊介绍: BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.
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