DRUG UTILIZATION PATTERNS OF ANTIDIABETIC MEDICATIONS IN PATIENTS WITH TYPE 2 DIABETES MELLITUS
Abstract
Type 2 Diabetes Mellitus (T2DM) is a major global health concern characterized by chronic hyperglycemia and longterm metabolic complications. Appropriate pharmacological management is essential for controlling blood glucose levels
and preventing disease progression. Drug utilization studies provide valuable insights into prescribing patterns and help
evaluate the rational use of antidiabetic medications in clinical practice. A retrospective observational study was
conducted in a tertiary care hospital to assess the utilization pattern of antidiabetic medications among patients with
T2DM. A total of 80 patient records were reviewed. Data were collected from medical records and prescription charts,
including demographic characteristics, duration of diabetes, type and number of medications prescribed, and therapy
patterns. Descriptive statistics were used to summarize the data. An independent sample t-test was performed to compare
medication use between male and female patients, and multiple linear regression analysis was conducted to identify
predictors of medication utilization. The majority of patients belonged to middle-aged and older age groups, with a
slightly higher proportion of male participants. Monotherapy and dual therapy were the most frequently used treatment
approaches, while triple therapy and insulin-based therapy were less common. Commonly recommended antidiabetic
medications were widely prescribed, indicating adherence to standard treatment practices. Statistical analysis showed
no significant difference in the number of medications prescribed between male and female patients. However, the
duration of diabetes was identified as a significant predictor of medication utilization. The study highlights current
prescribing patterns of antidiabetic medications in a tertiary care setting and emphasizes the importance of rational drug
use in diabetes management. Continuous monitoring of prescribing trends may help optimize therapeutic strategies and
improve patient outcomes.
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