Medication Adherence and its associated risk factors among Type II Diabetes Mellitus patients in Urban Prayagraj
Keywords:
Adherence, Morisky scale, WHOQOL-BREF scale, Diabetes mellitus, Quality of life, Knowledge.Abstract
Introduction: The World Health Organization has identified diabetes Mellitus (DM) as an important non-communicable disease that demands immediate global attention. In patients with DM musculoskeletal and vascular complication negatively affects the quality of life (QoL). In India, medication adherence among Type 2 DM patients is a significant concern, with various factors influencing adherence levels. To prevent the development of fatal complications associated with DM, glycaemic control is required. To achieve that goal, it is necessary to encourage patients to adhere to therapeutic regimens, change their life style, and follow the recommendations of their clinicians. Objectives: To measure medication adherence, to determine the various risk factors affecting medication adherence, to find out the association of health-related quality of life (HRQOL) with medication adherence among patients having Type 2 DM aged 18 years or above, residing in urban Prayagraj. Study Design: Cross sectional descriptive study. Methods: The study is conducted on primary data collected through pretested structured schedule method. Adherence to diabetic medications was assessed by an eight‑item content validated questionnaire developed based on previous literature (modified Morisky scale). Quality of life was assessed using WHOQOL-BREF questionnaire and it is categorized in quartiles. Results: The majority of participants were in aged above 50 years, accounting for 41.59%. The highest proportion had no formal education 31.03%. Among the 107 participants with high medication adherence, 9.38% reported low, 30.25% reported medium and 67.53% reported high quality of life. Conclusion: Only 35% participants had high medical adherence and other were in low medical adherence. About two –fifth participants were in second quartile of quality of life score and very few 10% participants were in fourth quartile of quality of life score.
