A Review on the Prescription Pattern Analysis of the Diabetes Mellitus
Year: 2025
Type: article
Abstract: Over 0.4 billion individuals worldwide are affected from diabetes mellitus (DM), which could lead to serious side effects like heart disease, stroke, kidney damage, blindness, and nerve damage. High blood sugar content, which are generated by inappropriate insulin activity, are a hallmark of diabetes mellitus. Type 2 diabetes is brought on by impairment to the pancreatic Beta cells, whereas type 1 diabetes is an autoimmune condition. Serious consequences can arise from tiny blood vessel damage caused by elevated blood glucose levels. Elevated plasma glucose levels or HbA1c testing are used to identify diabetes. For diagnosis, the WHO suggests a HbA1c cutoff of 48 mmol/mol (6.5%). This study’s goal is to gain access type II diabetes patients' prescription use habits by utilising WHO's primary drug prescribing indicators to In order to encourage appropriate medication use and give medical practitioners useful information, the study under discussion attempts to assess the drug consumption habits of individuals with type II diabetes using WHO's core drug prescribing indicators. This study current bias in the use of antidiabetic medications in US retail pharmacies from 2003 to 2012. With 18.8 million users by 2012, it reported a 42.9% increase in patients filing prescriptions for antidiabetic drugs, which closely matched CDC projections for cases of confirmed diabetes. With 62.7% of patients using it, metformin was the most recommended medication. Newer drugs like Dipeptidyl peptidase-4 inhibitors and Glucagon-like peptide-1 receptor agonist became more popular, sulfonylureas were used less frequently. Many patients used these more recent medications without taking metformin, despite advice to the contrary. The study emphasises how important it is to comprehend medication usage trends in order to improve diabetes treatment and adherence.
Author: K. Sowmya Sri*, J. Kabilan, Dr. K. Karthickeyan, Dr. P. Shanmugasundaram
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6912166357
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