Clinical validation of clinical decision support systems for medication review: A scoping review.
Clinical validation of clinical decision support systems for medication review: A scoping review.
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DOI：
10.1111/bcp.15160
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发表时间：
2022-05
影响因子：
3.4
通讯作者：
Abu-Hanna, Ameen
中科院分区：
文献类型：
--
作者：
Damoiseaux-Volman, Birgit A.;Medlock, Stephanie;van der Meulen, Delanie M.;de Boer, Jesse;Romijn, Johannes A.;van der Velde, Nathalie;Abu-Hanna, Ameen
关键词：
本综述的目的是总结临床决策支持系统（cdss）临床验证研究的方法和结果，以支持（部分）药物综述。在Embase和Medline进行文献检索。总共有30篇验证CDSS的文章最终被纳入。大多数研究集中在检测药物不良事件、潜在的不适当药物和药物相关问题上。我们将纳入的文章分为三组：主观评价CDSS输出的临床相关性的研究（21/30研究），临床相关性的阳性预测值（PPV）为4-80%；确定警报与实际事件之间关系的研究（10/30项研究）导致实际事件的PPV为5-80%；以及在整个研究人群（10/30项研究）中比较cdss输出与图表/药物评价的研究，结果敏感性为28-85%，特异性为42-75%。我们发现在使用的方法和结果测量中存在异质性。验证研究没有报告使用已发表的CDSS验证策略。为了提高cdss支持药物评价的有效性和吸收，未来的研究将受益于更系统和全面的验证策略。
The aim of this scoping review is to summarize approaches and outcomes of clinical validation studies of clinical decision support systems (CDSSs) to support (part of) a medication review. A literature search was conducted in Embase and Medline. In total, 30 articles validating a CDSS were ultimately included. Most of the studies focused on detection of adverse drug events, potentially inappropriate medications and drug‐related problems. We categorized the included articles in three groups: studies subjectively reviewing the clinical relevance of CDSS's output (21/30 studies) resulting in a positive predictive value (PPV) for clinical relevance of 4–80%; studies determining the relationship between alerts and actual events (10/30 studies) resulting in a PPV for actual events of 5–80%; and studies comparing output of CDSSs to chart/medication reviews in the whole study population (10/30 studies) resulting in a sensitivity of 28–85% and specificity of 42–75%. We found heterogeneity in the methods used and in the outcome measures. The validation studies did not report the use of a published CDSS validation strategy. To improve the effectiveness and uptake of CDSSs supporting a medication review, future research would benefit from a more systematic and comprehensive validation strategy.
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影响因子：
3.7
作者：
Davies EC;Green CF;Taylor S;Williamson PR;Mottram DR;Pirmohamed M
通讯作者：
Pirmohamed M
影响因子：
3.2
作者：
Damoiseaux-Volman BA;van der Velde N;Ruige SG;Romijn JA;Abu-Hanna A;Medlock S
通讯作者：
Medlock S
影响因子：
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影响因子：
2.9
作者：
Ibanez-Garcia, Sara;Rodriguez-Gonzalez, Carmen;Sanjurjo Saez, Maria
通讯作者：
Sanjurjo Saez, Maria