A Study to Assess the Knowledge and Practice of Insulin Self Administration among Patients with Diabetes Mellitus in Selected Hospitals of Guwahati, Assam

Diabetes is a chronic disease associated with abnormally high levels of glucose in the blood. Diabetes is due to either inadequate production of insulin or inadequate sensitivity of cells to the action of insulin. The global diabetes prevalence in 2019 is estimated to be 9.3 % (463 million people), rising to 10.2 % (578 million) by 2030 and 10.9 % (700 million) by 2045. The global prevalence of impaired glucose tolerance is estimated to be 7.5 % (374 million) in 2019 and projected to reach 8.0 % (454 million) by 2030 and 8.6 % (548 million) by 2045. The survey conducted during 2015-2019 by Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi also showed that the prevalence of known diabetes cases was 8.0 % and new diabetes cases was 3.8 %. A study by the Indian Council of Medical Research (ICMR) has revealed that 5.5 % of Assam’s population is in the grip of type 2 diabetes. Objectives: To assess the knowledge regarding insulin self administration among patients with diabetes mellitus in selected hospitals of Guwahati; To assess the practice regarding insulin self administration among patients with diabetes mellitus in selected hospitals of Guwahati; To find out the association between the knowledge and selected demographic variables of diabetes mellitus patients towards insulin self administration; To find out the association between practice of insulin self administration with selected demographic variables of diabetes mellitus patients; To correlate knowledge and practice regarding insulin self administration among diabetes mellitus patients. Material and method: the study adopted a descriptive research design, 80 samples were recruited using convenient, non-probability sampling technique. Socio demographic performa, structured knowledge questionnaire, check list was used to collect the data. Descriptive statistics, inferential statistics and Karl Pearson’s Correlation coefficient were used to analyze the data.