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      The use of a clinical decision support tool to assess the risk of QT drug–drug interactions in community pharmacies

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          Abstract

          Introduction:

          The handling of drug–drug interactions regarding QTc-prolongation (QT-DDIs) is not well defined. A clinical decision support (CDS) tool will support risk management of QT-DDIs. Therefore, we studied the effect of a CDS tool on the proportion of QT-DDIs for which an intervention was considered by pharmacists.

          Methods:

          An intervention study was performed using a pre- and post-design in 20 community pharmacies in The Netherlands. All QT-DDIs that occurred during a before- and after-period of three months were included. The impact of the use of a CDS tool to support the handling of QT-DDIs was studied. For each QT-DDI, handling of the QT-DDI and patient characteristics were extracted from the pharmacy information system. Primary outcome was the proportion of QT-DDIs with an intervention. Secondary outcomes were the type of interventions and the time associated with handling QT-DDIs. Logistic regression analysis was used to analyse the primary outcome.

          Results:

          Two hundred and forty-four QT-DDIs pre-CDS tool and 157 QT-DDIs post-CDS tool were included. Pharmacists intervened in 43.0% and 35.7% of the QT-DDIs pre- and post-CDS tool respectively (odds ratio 0.74; 95% confidence interval 0.49–1.11). Substitution of interacting agents was the most frequent intervention. Pharmacists spent 20.8 ± 3.5 min (mean ± SD) on handling QT-DDIs pre-CDS tool, which was reduced to 14.9 ± 2.4 min (mean ± SD) post-CDS tool. Of these, 4.5 ± 0.7 min (mean ± SD) were spent on the CDS tool.

          Conclusion:

          The CDS tool might be a first step to developing a tool to manage QT-DDIs via a structured approach. Improvement of the tool is needed in order to increase its diagnostic value and reduce redundant QT-DDI alerts.

          Plain Language Summary

          The use of a tool to support the handling of QTc-prolonging drug interactions in community pharmacies

          Introduction: Several drugs have the ability to cause heart rhythm disturbances as a rare side effect. This rhythm disturbance is called QTc-interval prolongation. It may result in cardiac arrest. For health care professionals, such as physicians and pharmacists, it is difficult to decide whether or not it is safe to proceed treating a patient with combinations of two or more of these QT-prolonging drugs. Recently, a tool was developed that supports the risk management of these QT drug–drug interactions (QT-DDIs).

          Methods: In this study, we studied the effect of this tool on the proportion of QT-DDIs for which an intervention was considered by pharmacists. An intervention study was performed using a pre- and post-design in 20 community pharmacies in The Netherlands. All QT-DDIs that occurred during a before- and after-period of 3 months were included.

          Results: Two hundred and forty-four QT-DDIs pre-implementation of the tool and 157 QT-DDIs post-implementation of the tool were included. Pharmacists intervened in 43.0% of the QT-DDIs before the tool was implemented and in 35.7% after implementation of the tool. Substitution of one of the interacting agents was the most frequent intervention. Pharmacists spent less time on handling QT-DDIs when the tool was used.

          Conclusion: The clinical decision support tool might be a first step to developing a tool to manage QT-DDIs via a structured approach.

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          Most cited references40

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          An Empirical Evaluation of the System Usability Scale

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            Prolonged QTc interval and risk of sudden cardiac death in a population of older adults.

            This study sought to investigate whether prolongation of the heart rate-corrected QT (QTc) interval is a risk factor for sudden cardiac death in the general population. In developed countries, sudden cardiac death is a major cause of cardiovascular mortality. Prolongation of the QTc interval has been associated with ventricular arrhythmias, but in most population-based studies no consistent association was found between QTc prolongation and total or cardiovascular mortality. Only very few of these studies specifically addressed sudden cardiac death. This study was conducted as part of the Rotterdam Study, a prospective population-based cohort study that comprises 3,105 men and 4,878 women aged 55 years and older. The QTc interval on the electrocardiogram was determined during the baseline visit (1990 to 1993) and the first follow-up examination (1993 to 1995). The association between a prolonged QTc interval and sudden cardiac death was estimated using Cox proportional hazards analysis. During an average follow-up period of 6.7 years (standard deviation, 2.3 years) 125 patients died of sudden cardiac death. An abnormally prolonged QTc interval (>450 ms in men, >470 ms in women) was associated with a three-fold increased risk of sudden cardiac death (hazard ratio, 2.5; 95% confidence interval, 1.3 to 4.7), after adjustment for age, gender, body mass index, hypertension, cholesterol/high-density lipoprotein ratio, diabetes mellitus, myocardial infarction, heart failure, and heart rate. In patients with an age below the median of 68 years, the corresponding relative risk was 8.0 (95% confidence interval 2.1 to 31.3). Abnormal QTc prolongation on the electrocardiogram should be viewed as an independent risk factor for sudden cardiac death.
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              Prevention of torsade de pointes in hospital settings: a scientific statement from the American Heart Association and the American College of Cardiology Foundation.

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                Author and article information

                Contributors
                Journal
                Ther Adv Drug Saf
                Ther Adv Drug Saf
                TAW
                sptaw
                Therapeutic Advances in Drug Safety
                SAGE Publications (Sage UK: London, England )
                2042-0986
                2042-0994
                24 February 2021
                2021
                : 12
                : 2042098621996098
                Affiliations
                [1-2042098621996098]Department of Hospital Pharmacy, Erasmus University Medical Centre, Department of Hospital Pharmacy, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
                [2-2042098621996098]Department of Hospital Pharmacy, Erasmus University Medical Centre, Rotterdam, The Netherlands
                [3-2042098621996098]Department of Hospital Pharmacy, Erasmus University Medical Centre, Rotterdam, The Netherlands
                [4-2042098621996098]Department of Clinical Pharmacy and Toxicology, Leiden University Medical Centre, Leiden, The Netherlands
                [5-2042098621996098]Department of Hospital Pharmacy, Erasmus University Medical Centre, Rotterdam, The Netherlands
                [6-2042098621996098]Department of Clinical Pharmacy and Pharmacology, University Medical Centre Groningen, Groningen, The Netherlands
                Author notes
                Author information
                https://orcid.org/0000-0003-2723-8919
                Article
                10.1177_2042098621996098
                10.1177/2042098621996098
                7907715
                302de134-3fa0-4020-a0a4-a11b768fe429
                © The Author(s), 2021

                This article is distributed under the terms of the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 27 November 2019
                : 22 January 2021
                Funding
                Funded by: Royal Dutch Pharmacists Association (KNMP Holding B.V.), ;
                Categories
                Original Research
                Custom metadata
                January-December 2021
                ts1

                clinical decision support systems,community pharmacies,drug–drug interactions,intervention,primary care

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