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BMC Medical Informatics and Decision Making
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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

Authors: Lampe, David; Grosser, John; Grothe, Dennis; Aufenberg, Birthe; Gensorowsky, Daniel; Witte, Julian; Greiner, Wolfgang;

How intervention studies measure the effectiveness of medication safety-related clinical decision support systems in primary and long-term care: a systematic review

Abstract

Abstract 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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Keywords

Decision support systems, clinical, Primary Health Care, Drug-Related Side Effects and Adverse Reactions, Medical Order Entry systems, Computer applications to medicine. Medical informatics, R858-859.7, 610, Decision Support Systems, Clinical, Long-Term Care, Outcome Assessment (Health Care), Medication errors, Outcome Assessment, Health Care, Systematic review, Systematic Review ; Humans [MeSH] ; Systematic review ; Outcome Assessment (Health Care) ; Primary Health Care ; Medication Errors/prevention ; Patient Safety/standards [MeSH] ; Decision Support Systems, Clinical/standards [MeSH] ; Long-Term Care/standards [MeSH] ; Medical Order Entry systems ; Primary Health Care/standards [MeSH] ; Drug-Related Side Effects and Adverse Reactions/prevention ; Decision support systems, clinical ; Outcome Assessment, Health Care [MeSH] ; Medication errors, Humans, Medication Errors, Systematic Review, Patient Safety

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
gold