Title : Drug utilization pattern and quality of life assessment in diabetic patients: A hospital based prospective study
Abstract:
Background: Diabetes Mellitus (DM) has impacted 422 million people worldwide and is responsible for around 1.5 million fatalities. Drug utilisation studies and the quality of life of diabetes patients are critical disease management evaluation markers.
Materials and Methods: 180 diabetic patients were included in a prospective study at a multispecialty hospital. In the Case Record Form, demographic data were gathered and drug utilisation pattern were evaluated as per WHO criteria. Using the quality of life questionnaire tool (MDQoL), physical health difficulties, role limitation owing to personal or emotional problems, social functioning, and general health perception were evaluated.
Results: Out of 180 patients, males (n=101) outnumbered girls (n=79) in the current study. The mean age was 58.34 years. During the trial, FBS and PP2BS levels were determined to be 194.1 and 288.40 mg/dl in males and 183.37 and 288.03 mg/dl in females. Metformin was the most often recommended medication, both as a monotherapy and in combination with Glimepiride. The most recommended route of administration was oral. 36 of the individuals in this study were newly diagnosed diabetics. Hypertension, along with neuropathy and retinopathy, was the most frequent comorbidity. Adjuvant therapy included cardiovascular drugs, antiemetic, antibiotics, and vitamin supplements. The majority of respondents to the MDQoL questionnaire reported an improved quality of life.
Conclusion: In patients with uncontrolled diabetes, serious diabetic complications including neuropathy and retinopathy were identified. Patients experiencing palliative effects frequently received metformin as monotherapy.
Audience Take Away Notes:
- Drug utilization studies (DUS) and the quality of life in diabetics
- This study will help the audience to understand the details of DUS with specific drugs and its management in DM
- Yes this study can be expanded through multi-hospital data and more insight details can be evaluated.