2015
DOI: 10.1016/j.ijmedinf.2015.01.013
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Evaluation of usage patterns and user perception of the drug–drug interaction database SFINX

Abstract: PurposeThe aim of the present study was to investigate how prescribers and pharmacists use and perceive the drug-drug interaction database SFINX in their clinical work. MethodsA questionnaire was developed with questions aimed at the usage of SFINX, and the perceptions of the database. The questionnaire was sent out to all registered users of the web application of SFINX.The anonymous answers from the target users, prescribers and pharmacists were summarized using descriptive statistics. Statistical analysis w… Show more

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Cited by 23 publications
(13 citation statements)
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“…Databases on drug-drug interactions and renal dosing developed by Medbase Ltd. have been included in EBMeDS. The design and usability of these databases have been described [31, 37, 38], and their impact evaluated [39, 40]. Because of its modular design, comprehensiveness and easy integration with EHRs and case-report forms, EBMeDS was selected as the platform for developing the PRIMA-eDS tool.…”
Section: Methodsmentioning
confidence: 99%
“…Databases on drug-drug interactions and renal dosing developed by Medbase Ltd. have been included in EBMeDS. The design and usability of these databases have been described [31, 37, 38], and their impact evaluated [39, 40]. Because of its modular design, comprehensiveness and easy integration with EHRs and case-report forms, EBMeDS was selected as the platform for developing the PRIMA-eDS tool.…”
Section: Methodsmentioning
confidence: 99%
“…However, it’s better to design more DDI sub-types in order to achieve more fine-grained alerts. For example, the SFINX project (Andersson et al 2015) tiers DDIs according to clinical significance (A–D), which enables fine-grained threshold settings for automated warnings.Lack of complete evaluation. In this study, the accept and override rates can be easily calculated from the log data.…”
Section: Discussionmentioning
confidence: 99%
“…Classen et al (2011) identified 7 most common DDIs by reviewing multiple sources. The public DDI knowledge base SFINX (Swedish, Finnish, INteraction X-referencing) tiers DDIs according to clinical significance (A-D), which enables threshold settings for automated warnings (Andersson et al 2015). …”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the CDSS provides information about more than 10,000 drug–drug interactions or other drug-related problems, giving advice on how to handle them [34]. For instance, in a diabetic patient, a diagnosis of renal failure, or a laboratory result of creatinine increase, can trigger an alert message to reduce the drug dosage (e.g., cisplatin) based on the patient’s glomerular filtration rate (GFR).There are also several reminders that may help oncologists in the holistic care of the patient.…”
Section: Methodsmentioning
confidence: 99%