PHARMACOEPIDEMOLOGICAL AND SOCIOECONOMIC FACTORS IN RESPONSE TO THE TYPE 2 DIABETIC PATIENTS

The socioeconomic and pharmacoepidemological studies have made significant contributions in understanding the risks and benefits associated with current drug therapy. These studies have also been instrumental in addressing various aspects of drug safety and effectiveness that cannot be readily or adequately evaluated using an appropriate experimental design and also the risk and health benefits of the drugs and its outcomes. To understand the scenario the current study was aimed in assessing the health-related quality of life and treatment satisfaction in a large, ambulatory based sample of patients with type 2 diabetes. Attempts were made to investigate the extent of the variables to which they correlate with physical and psychological well-being, and with treatment satisfaction. Thus, it is possible to study clinically relevant outcomes in a timely and cost efficient manner. The results revealed that the type 2 diabetes disease observational studies were correlated with SES measures, which are required in particular during addressing to the biasing effect of disease duration and progression with its severity. Ideally, one should have complete information on hemoglobin A1c (HbA1c), a biomarker for measuring glycemic control which is intern associated with the risk of diabetes and other related complications. Unfortunately, this laboratory parameter is typically unavailable in majorities of administrative health databases developed in rural and urban hospitals and clinics. The primary outcome was loss of glycemic control, defined as a glycated hemoglobin level of at least 8% for 6 months or with sustained metabolism and finally the usage of insulin for combating the disease. In conclusion, the results of the study revealed additional evidence on socioeconomic and pharmacoepidemological parameters and its association with the individuals possessing type 2 diabetes. We also observed that a continuous monitoring of glycaemic control not only forecast the progression of the diseases but also determines the use of medication for healthy leaving