Abstract

Type 2 diabetes mellitus is a major public health problem. Adherence to anti-diabetic medications improves glycaemic control, which in turn prevents complications as well as reduces out-of-pocket expenditure. The World Health Organization highlights that the impact of interventions directed to improve adherence has far greater implications than specific medical interventions. There are several factors that contribute to poor adherence. Not many studies have been conducted to explore adherence to diabetes medications in eastern India. To measure medication adherence among patients suffering from diabetes. To determine the various risk factors influencing adherence to medication. To find out the association of health-related quality of life with adherence to medication. Ahospital-based cross-sectional study was conducted in the outpatient Department of General Medicine and Endocrinology of a tertiary care hospital in eastern India from January to March 2020. Adult subjects, who were diagnosed with type 2 diabetes mellitus for at least six months, were interviewed using a pretested, structured questionnaire containing 8-item Morisky Medication Adherence Scale (MMAS-8) to determine adherence to diabetic medications. Data were analysed in SPSS version 27 (IBM Corp., Armonk, NY, USA). The mean age of the 331 participants interviewed was 53.40 (SD 11.0) years and the majority were males (57.1%). Medication adherence of 34.14% (n=113) was found among the subjects. Having any comorbidity, positive family history of diabetes and the habit of current alcohol intake increased the odds of poor adherence by 3.26 times, 1.88 times, and 2.35 times respectively in binary logistic regression analysis. Those following a diabetic diet had a protective effect, decreasing poor medication adherence by 79.6%. Poor medication adherence increased by 1.077 times with every one-day increase in unhealthy days. The medication adherence was 34.14% and as compared to other similar studies medication adherence in the study population was poor and was associated with unhealthy days.

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