ArticleInternational journal of clinical pharmacy2015
Potential drug-related problems detected by electronic expert support system: physicians' views on clinical relevance.
Article in International journal of clinical pharmacy, 2015. 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.
- Prevalence of clinically manifested drug interactions in hospitalized patients: A systematic review and meta-analysis.PloS one · 2020Pooled it
- Review
- Potential Drug-Related Problems in Pediatric Patients-Describing the Use of a Clinical Decision Support System at Pharmacies in Sweden.Pharmacy (Basel, Switzerland) · 2023Article
- Development and assessment of PharmaCheck: an electronic screening tool for the prevention of twenty major adverse drug events.BMC medical informatics and decision making · 2022Article
- Clinical validation of clinical decision support systems for medication review: A scoping review.British journal of clinical pharmacology · 2022Article
- Potentially inappropriate prescribing to older patients receiving multidose drug dispensing.BMC geriatrics · 2020Article
- eHealth technologies assisting in identifying potential adverse interactions with complementary and alternative medicine (CAM) or standalone CAM adverse events or side effects: a scoping review.BMC complementary medicine and therapies · 2020Article
- The Use of a Decision Support System in Swedish Pharmacies to Identify Potential Drug-Related Problems-Effects of a National Intervention Focused on Reviewing Elderly Patients' Prescriptions.Pharmacy (Basel, Switzerland) · 2020Article
- Article
- Risk factors for drug-related problems in a general hospital: A large prospective cohort.PloS one · 2020Article
- Reduction of inappropriate medication in older populations by electronic decision support (the PRIMA-eDS project): a survey of general practitioners' experiences.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- A concise drug alerting rule set for Chinese hospitals and its application in computerized physician order entry (CPOE).SpringerPlus · 2016Article
- Article
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Authors and funding
5 authors.
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Abstract
backgroundDrug-related problems cause suffering for patients and substantial costs. Multi-dose drug dispensing is a service in which patients receive their medication packed in bags with one unit for each dose occasion. The electronic expert support system (EES) is a clinical decision support system that provides alerts if potential drug-related problems are detected among a patients' current prescriptions, including drug-drug interactions, therapy duplications, high doses, drug-disease interactions, drug gender warnings, and inappropriate drugs and doses for geriatric or pediatric patients.
objectiveThe aim of the study was to explore physicians' views on the clinical relevance of alerts provided by EES. Furthermore we investigated if physicians performed any changes in drug treatment following the alerts and if there were any differences in perceived relevance and performed changes between different types of alerts and drugs.
settingTwo geriatric clinics and three primary care units in Sweden.
methodPrescribed medications for patients (n = 254) with multi-dose drug dispensing were analyzed for potential drug-related problems using EES. For each alert, a physician assessed clinical relevance and indicated any intended action. A total of 15 physicians took part in the study. Changes in drug treatment following the alerts were later measured. The relationship between variables was analyzed using Chi square test.
main outcome measurePhysicians' perceived clinical relevance of each alert, and changes in drug treatment following the alerts.
resultsPhysicians perceived 68% (502/740) of EES alerts as clinically relevant and 11% of all alerts were followed by a change in drug treatment. Clinical relevance and likelihood to make changes in drug treatment was related to the alert category and substances involved in the alert.
conclusionIn most patients with multi-dose drug dispensing, EES detected potential drug-related problems, with the majority of the alerts regarded as clinically relevant and some followed by measurable changes in drug treatment.
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