Prescription errors in patients with systemic sclerosis: Exploratory data analysis from scleroderma clinic
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Creator Chingching Foocharoen
Title Prescription errors in patients with systemic sclerosis: Exploratory data analysis from scleroderma clinic
Contributor Suwassa Namvijit, Ajanee Mahakkanukrauh, Siraphop Suwannaroj, Patnarin Pongkulkiat, Tippawan Onchan
Publisher Khon Kaen University, Thailand
Publication Year 2568
Journal Title Asia-Pacific Journal of Science and Technology
Journal Vol. 30
Journal No. 2
Page no. 4 (6 pages)
Keyword systemic sclerosis, scleroderma, medication, prescription errors, prescription modifications, prescription cancellations
URL Website https://apst.kku.ac.th/
Website title https://apst.kku.ac.th/prescription-errors-in-patients-with-systemic-sclerosis-exploratory-data-analysis-from-scleroderma-clinic/
ISSN 2539-6293
Abstract Systemic sclerosis (SSc) is a systemic autoimmune disease characterized by fibrosis, inflammation, and vasculopathy. Treatments aiming to manage all pathologic processes and polypharmacy may inevitably increase the likelihood of prescription errors. We aimed to quantify the numbers of prescription errors and identify factors associated with prescribing errors among SSc patients at the Scleroderma Clinic from January 2016 to December 2022. Prescription error was defined as any modification or cancellation of a medication in the prescription, excluding logistic issues. Among 9,741 prescriptions, 199 (2%) were prescription errors. The most common type of prescription error was duplicated medication (50.5%), followed by prescribed incorrect amount of medicines (34.2%), improper dosage regimen (5.6%), improper drug selection (5.1%) and a history of adverse drug reaction (4.6%). Immunosuppressants and vasodilators were frequently modified and canceled due to their serious side effect history. Neither physician experience nor the types of medication were associated with the occurrence of prescription errors. While the overall rate of prescription errors in the Scleroderma Clinic was low, duplicated medication was the most prevalent type. Implementing strategies targeting these errors could potentially reduce their incidence.
Asia-Pacific Journal of Science and Technology

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