ArticleEuropean journal of clinical pharmacology2009
Successful strategy to improve the specificity of electronic statin-drug interaction alerts.
Article in European journal of clinical pharmacology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Criteria for assessing high-priority drug-drug interactions for clinical decision support in electronic health records.BMC medical informatics and decision making · 2013Pooled it
- Article
- Article
- National Rules for Drug-Drug Interactions: Are They Appropriate for Tertiary Hospitals?Journal of Korean medical science · 2016Article
- Tailoring of alerts substantially reduces the alert burden in computerized clinical decision support for drugs that should be avoided in patients with renal disease.Journal of the American Medical Informatics Association : JAMIA · 2015Observational
- Medical alert management: a real-time adaptive decision support tool to reduce alert fatigue.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
- On the alert: future priorities for alerts in clinical decision support for computerized physician order entry identified from a European workshop.BMC medical informatics and decision making · 2013Article
- Use of an on-demand drug-drug interaction checker by prescribers and consultants: a retrospective analysis in a Swiss teaching hospital.Drug safety · 2013Article
- e-SPC - delivering drug information in the 21st century: developing new approaches to deliver drug information to prescribers.British journal of clinical pharmacology · 2012Article
- Legal, ethical, and financial dilemmas in electronic health record adoption and use.Pediatrics · 2011Article
- Improving Patient Safety through Medical Alert Management: An Automated Decision Tool to Reduce Alert Fatigue.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010Article
- Drug-drug interactions and adverse drug reactions: separating the wheat from the chaff.Wiener klinische Wochenschrift · 2010Article
- Factors influencing alert acceptance: a novel approach for predicting the success of clinical decision support.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeA considerable weakness of current clinical decision support systems managing drug-drug interactions (DDI) is the high incidence of inappropriate alerts. Because DDI-induced, dose-dependent adverse events can be prevented by dosage adjustment, corresponding DDI alerts should only be issued if dosages exceed safe limits. We have designed a logical framework for a DDI alert-system that considers prescribed dosage and retrospectively evaluates the impact on the frequency of statin-drug interaction alerts.
methodsUpper statin dose limits were extracted from the drug label (SPC) (20 statin-drug combinations) or clinical trials specifying the extent of the pharmacokinetic interaction (43 statin-drug combinations). We retrospectively assessed electronic DDI alerts and compared the number of standard alerts to alerts that took dosage into account.
resultsFrom among 2457 electronic prescriptions, we identified 73 high-risk statin-drug pairs. Of these, SPC dosage information classified 19 warnings as inappropriate. Data from pharmacokinetic trials took quantitative dosage information more often into consideration and classified 40 warnings as inappropriate. This is a significant reduction in the number of alerts by 55% compared to SPC-based information (26%; p < 0.001).
conclusionThis retrospective study of pharmacokinetic statin interactions demonstrates that more than half of the DDI alerts that presented in a clinical decision support system were inappropriate if DDI-specific upper dose limits are not considered.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.