Using Association Rules to Study Prescribing Patterns of Antidiabetic Drugs in Type 2 Diabetic Patients with Comorbidities Based on Glycemic Control at Police General Hospital
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Abstract
Objective: To identify the prescribing patterns of antidiabetic drugs in type 2 diabetic patients with comorbidities based on their glycemic control using association rules. Methods: This descriptive study retrospectively collected the data from electronic medical records of type 2 diabetic patients receiving hypoglycemic drugs from outpatient pharmacy at Police General Hospital between January 1, 2020, and December 31, 2022, and having record on laboratory tests on glycemic control. Prescribing patterns of antidiabetic drugs were identified using the Apriori algorithm in RStudio. Results: A total of 51,502 eligible prescriptions were identified. Most common comorbidities were dyslipidemia, essential hypertension, and chronic kidney disease. Prescribing patterns of antidiabetic drugs in patients with/without comorbidities were similar. The most commonly prescribed medications were metformin with glipizide and/or pioglitazone, and metformin plus a DPP-4 inhibitors (dipeptidyl peptidase-4 inhibitors) or SGLT-2 inhibitors (sodium-glucose co-transporter-2 inhibitors). However, the differences were observed in patients with chronic kidney disease with insulin injections being the most common drug, and in patients with chronic ischemic heart disease with metformin plus an SGLT-2 inhibitors being the most commonly used drugs. Prescribing patterns in patients with/without comorbidities in both good and poor glycemic control groups were similar, but with different support (P < 0.05), except for patients with chronic kidney disease where the patterns in good and poor glycemic control groups differed with indifferent support in the majority. Conclusion: The Apriori algorithm effectively identified prescribing patterns of antidiabetic drug in a large number of prescriptions. Comorbidities and glycemic control are associated with prescribing patterns. The information is useful for improving patient care and medication counseling.
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ผลการวิจัยและความคิดเห็นที่ปรากฏในบทความถือเป็นความคิดเห็นและอยู่ในความรับผิดชอบของผู้นิพนธ์ มิใช่ความเห็นหรือความรับผิดชอบของกองบรรณาธิการ หรือคณะเภสัชศาสตร์ มหาวิทยาลัยสงขลานครินทร์ ทั้งนี้ไม่รวมความผิดพลาดอันเกิดจากการพิมพ์ บทความที่ได้รับการเผยแพร่โดยวารสารเภสัชกรรมไทยถือเป็นสิทธิ์ของวารสารฯ
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