ASSESSMENT OF MEDICATION ADHERENCE IN TYPE 2 DIABETES MELLITUS PATIENTS

Abstract

This is a Prospective observational study where we go and collect the details of type 2 diabetes patients
from tertiary care hospital (Manipal) and attend the camp in community area of Mangalagiri regarding patient
details, past medical and medication history, lab details, treatment and evaluation of medication adherence and
complications which is carried out for 6 months. The present study consists of sample size 1600. Out of 1600 sample
400 are from tertiary care and 1200 people are from community. In tertiary care out of 400; males were high in that
55-65 age group mostly effected. Highest number of patients observed with 2 comorbidities. Highest number of
patients observed with no social habits and patients with social habits more are habituate to both alcohol and tobacco
in these people observed with low adherence. Highest number of patients are observed with positive family history.
In this study most of diabetic patients were suffering with neuropathy complication and a smaller number of patients
suffering with diabetic foot. Highest number of patients following mixed diet. More number of patients using
biguanides and sulfonyl urea’s for controlling diabetes. Highest number of patients observed in rural are. Working
people are more effected than retired population. In this study a greater number of patients suffering with DM in the
last 5-15 years. In community area out of 1200; males were high in that 55-65 age group mostly effected. Highest
number of patients observed with 0 comorbidities. Highest number of patients following mixed diet. Highest number
of patients observed in rural are. Working people are more effected than retired people. In this study more no. of
patients was suffering with DM 5-15years. In our study we found the factors that influencing medication adherence
they are; include age, comorbidities, social history, family history, occupation and duration of diabetes. There is no
correlation between gender and found poor correlation for diet and location and good correlation for age,
comorbidities, social history, family history, occupation and duration of diabetes.