STUDY ON DRUG UTILIZATION PATTERN OF CHRONIC RENAL FAILURE PATIENTS IN A TERTIARY CARE HOSPITAL

Objective: Chronic Renal Failure is a worldwide public health problem with an increasing incidence and prevalence, poor outcomes and high cost of treatment due to co-morbidities and Polypharmacy. The aim of this study was to describe drug utilization pattern of patients with chronic renal failure in a tertiary care hospital.Methods: The study was conducted between July -2013 to December-2013. In total 150 patients were identified and 135 patients were recruited for further study. Study subject medical record and prescription was reviewed on their regular hospital visit. Those were missed the followup, their medical records and prescription were reviewed from the medical record departmentResults: In this study, male subjects (62.85 %) predominated; 37.05% of the patients were in the age group of 51 to 60 years. The mean age of subjects was 53.26 ±15.69 years. The average number of drugs prescribed per prescription was 5.26 ± 3.79.Conclusion: The prevalence of Polypharmacy was high in patients with CRF. Diuretics, anti hypertensive and anti diabetic drugs were used more frequently in chronic renal failure patients. Moreover time to time studies are required to improve management strategy and quality of life of patients.Â

An ε -Uniform Numerical Method for a System of Convection-Diffusion Equations with Discontinuous Convection Coefficients and Source Terms

In this paper, a parameter-uniform numerical method is suggested to solve a system of singularly perturbed convection-diffusion equations with discontinuous convection coefficients and source terms subject to the Dirichlet boundary condition. The second derivative of each equation is multiplied by a distinctly small parameter, which leads to an overlap and interacting interior layer. A numerical method based on a piecewise uniform Shishkin mesh is constructed. Numerical results are presented to support the theoretical results

Semantic Retrieval of Relevant Sources for Large Scale Virtual Documents

AbstractThe term big data has come into use in recent years. It is used to refer to the ever-increasing amount of data that organizations are storing, processing and analyzing. An Interesting fact with bigdata is that it differ in Volume, Variety, Velocity characteristics which makes it difficult to process using the conventional Database Management System. Hence there is a need of schema less Management Systems even this will never be complete solution to bigdata analysis since the processing has no focus on the semantic information as they consider only the structural information. Content Management System like Wikipedia stores and links huge amount of documents and files. There is lack of semantic linking and analysis in such systems even though this kind of CMS uses clusters and distributed framework for storing big data. The retrieved references for a particular article are random and enormous. In order to reduce the number of references for a selected content there is a need for semantic matching. In this paper we propose framework which make use of the distributed parallel processing capability of Hadoop Distributed File System (HDFS) to perform semantic analysis over the volume of documents (bigdata) to find the best matched source document from the collection source documents for the same virtual document

EVALUATION OF IMPACT OF PHARMACEUTICAL CARE ON IMPROVING KNOWLEDGE AND MEDICATION ADHERENCE IN CKD PATIENTS

Objectives: Evaluation of the impact of pharmaceutical care on improving knowledge and medication adherence in Chronic Kidney Disease (CKD) patients.Methods: Patient data were recorded on a data collection form after informed consent. Their knowledge and medication adherence were evaluated by questionnaire and it was quantified. Patients were counselled using patient information leaflets. Re-assessment was made during follow-up.Results: Medication adherence among patients was classified as low, medium and high adherence. Knowledge was classified under three categories excellent, average and poor. There was a considerable improvement in knowledge and medication adherence irrespective of age and gender. The study was statistically significant with P<0.05.Conclusion: The efforts to increase awareness on CKD patients such as providing patient counselling and continuous education could enhance adherence to therapies and thus could improve clinical outcomes and quality of life