Original Research Article
Year: 2020 | Month: April-June | Volume: 5 | Issue: 2 | Pages: 175-182
A Pharmacoepidemiological Study of Type-2 Diabetes Mellitus among Selected areas of Chitradurga
Archa P.R1, Dona Thomas1, R Yogananda2, Bharathi DR3
1Pharm D Intern, SJM College of Pharmacy, Chitradurga-577502,
2Professor, HOD, Department of Pharmacy Practice, SJM College of Pharmacy, Chitradurga. 577502.
3Professor, SJM College of pharmacy, Chitradurga,577502
ABSTRACT
Background: Globally Diabetes Mellitus (DM) is a major public health problem and is ever growing as an epidemic in both developed as well as developing nations. The prevalence of Type-2 Diabetes Mellitus in India is reported to be the highest in the world with more than 62 million cases in 2016. Recent surveys conducted indicates that diabetes now affects a staggering 25-40% of urban population and 10-20% of rural population in India. It is a major factor for future development of micro vascular and macro vascular complications. Still many patients especially rural peoples have poor knowledge about the conditions, often leads to the development of hidden diabetic cases and complications.
Objectives: To assess the prevalence, evaluate the pre-disposing factors of Type-2 DM, To assess the knowledge about Diabetes and to study the drug usage pattern in Type-2 Diabetic subjects.
Methodology: A Prospective observational study was carried out in selected areas of Chitradurga.
Results: Out of 304 subjects, 71 subjects (23.4%) were previously diagnosed Type-2 diabetes, in which 41(13.5%) are urban and(9.9%) are rural and urban subjects are having more knowledge regarding diabetes compared to rural subjects .
Conclusion : Total 304 subjects were included. Our study revealed 71 subjects with previously known cases. From our study 25 subjects were newly detected with diabetes, In this 15 subjects were from rural area and 10 subjects were from urban area. The study also revealed that combination therapy was used more than the mono therapy.
Keywords: Prevalence, Risk factors, Knowledge assessment, Drug utility pattern