Objective: The present study is aimed to analysis of prescriptions for different impacts of polypharmacy in a south Indian tertiary care hospital. Methodology: The study was conducted in the Out-patient pharmacy department of Bangalore Baptist Hospital (BBH) Hebbal. In this method, the inpatient case sheets and prescriptions will be screened for Analysis of medicines for different impacts of polypharmacy on consistent schedule. All the recommended prescriptions alongside different drugs and relevant data will be noted in a customized data collection form to discover the polypharmacy and other. The investigation patients will be pursued every day until their release. The Micromedex, Medscape, articles and significant references books will be utilized as tools to review the collected data. The prescribed medication will be checked for their existence in the hospital and also the relevant dosing calculation and polypharmacy. Check for any error in prescription such as doses, frequency and route of administration and analysis of prescription for any polypharmacy etc. Result: In our study population out of 980 patient’s prescriptions contains polypharmacy, which that 520 were male and 460 were female. and thus the average number of drugs per patient was 7, Extensive (70%) poly pharmacy was observed in study population. In our study various classes of drug like Pantoprazole, Aspirin, Paracetamol, Zincovit, Levocetrizin etc. Were prescribed. According to 980 prescriptions analyzed, 142 prescriptions comprised of potential drug interactions and it was found that 235 drug interactions were present. From drug interactions, aspirin/clopidogrel and clopidogrel/atorvastatin were most common drug interaction pairs observed among prescribed medications. Out of the 235 interventions proposed, the most incessant recommendation was on observing for adverse effect (44.01%) followed by dose adjustment (15.81%). 25.64% of interventions were accepted and therapy was changed. During the study period, a total of 28 adverse drug reactions were recorded among 234 pDDIs identified. Conclusion: As the population ages, polypharmacy increases. The elderly often requires multiple medications to treat multiple health-related conditions. The demographic details of study population shown that 70 % of polypharmacy occurred in elderly people. Because they use 6 or more medicine. Out of the patients evaluated, 69.18% are prescribed 6 or more concurrent drugs, 15.7%, or 199 patients, are prescribed one or more potentially inappropriate drugs, and 9.3% meet both definitions of polypharmacy used in this study.
