Paper Title
A study on drug utilization pattern and possible drug - drug interactions amoung patients with chronic obstructive pulmonary disease in a tertiary care hospital
Article Identifiers
Registration ID: IJNRD_226634
Published ID: IJNRDTH00186
DOI: http://doi.one/10.1729/Journal.41126
Authors
Dheeraj Kumar Bhakat , Archa S Kumar , Kabilan R , Prithvika Wagle
Keywords
Drug utilisation Pattern, COPD, Drug-drug interactions.
Abstract
Introduction: Drug Utilization studies is the strongest tool for promoting rational use of drugs in the society. Drug utilization studies help to update clinical medicine. The mortality and morbidity rate are high in COPD patients. In this field there is lack of Drug utilization study. In this study we made an attempt to assess the current prescribing pattern with the WHO prescribing indicators to check whether the prescription pattern followed WHO guidelines and also, we assessed the possible drug-drug interactions in drugs used in the COPD treatment. Methods: A retrospective observational analysis of 300 patients who was admitted in general medicine and pulmonary department was done over a period of 6 months, we recorded the cases from 2016 January to 2020 September and those who met the inclusion criteria. The study was carried out at Sagar Hospital, Kumaraswamy layout, Bengaluru. Drug-Drug interactions were analysed using Lexicomp software. The prescription was analysed using descriptive statistics and the results were expressed in percentage. Results: Out of 300 patients, 102 (34 %) were female and 198 (66%) were found to be male. Majority of patients (42.3%) were above the age of 70 and the least (2.3 %) was found to be below the age of 40. The majority of patients (31%) had only one comorbid condition. Total number of COPD drugs prescribed was found to be 1554. Most frequently used class of drug was short acting beta 2 agonist (90.3%), followed by inhaled corticosteroids (87%), antibiotics (85.6%), short acting muscarinic antagonist (74.6%). Most of the drugs were prescribed by brand name and only 5.4% were prescribed by generic name. The percentage of drugs prescribed from WHO EDL was 49.4%. We found out a total number of 135 drug-drug interactions, in that 59% was found to be Pharmacodynamic interactions and 41 % to be Pharmacokinetic interactions. The severity assessment of DDIs in our study showed that most of interactions were moderate 117(86.6%) followed by major 15(11.2%) and minor 3(2.2%) interactions. Conclusions: This study concludes that prescribing patterns did not follow WHO core prescribing indicators with polypharmacy being common, the concept of generic name prescribing was negligible and reduced prescription from WHO-EDL. Before prescribing medicines, using computer-assisted drug interaction software can help us discover these potential drug-drug interactions, which can assist us to detect and prevent DDI.
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How To Cite
"A study on drug utilization pattern and possible drug - drug interactions amoung patients with chronic obstructive pulmonary disease in a tertiary care hospital ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 8, page no.141-242, August-2024, Available :https://ijnrd.org/papers/IJNRDTH00186.pdf
Issue
Volume 9 Issue 8, August-2024
Pages : 141-242
Other Publication Details
Paper Reg. ID: IJNRD_226634
Published Paper Id: IJNRDTH00186
Downloads: 000121208
Research Area: Medical Science
Country: Dehradun, Uttarakhand, India
Published Paper PDF: https://ijnrd.org/papers/IJNRDTH00186.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDTH00186
DOI: http://doi.one/10.1729/Journal.41126
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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