Evaluation of knowledge, attitude and practice towards drug-drug interactions among postgraduates in tertiary care hospital, Kurnool
DOI:
https://doi.org/10.18203/2319-2003.ijbcp20223361Keywords:
Drug-drug interactions, Polypharmacy, Blooms cut off pointAbstract
Background: Drug-drug interactions (DDIs) are changes in a drug’s effects due to concurrent use of another drug. Clinically significant interactions lead to undesired adverse effects, therapeutic failure, toxicity or may even cause death of the patients. The Aim is to evaluate the Knowledge, Attitude and Practice of Postgraduates regarding DDIs and implementation of educational program may enhance patient’s safety.
Methods: A cross-sectional study was conducted among postgraduates in all clinical departments of Government general hospital, Kurnool in the month of October 2021. Pre-validated questionnaire was used to assess the KAP. It contains demographic data, knowledge and practice questions related to DDIs and attitude towards the preferable sources of drug interaction information. Data analysis was done by using SPSS version 26.
Results: Out of 220 questionnaires distributed, 126 postgraduates submitted with complete answers(n=126). Overall response rate is 57%. By using the Bloom’s cut-off points, most of the respondents (43.5%) had low level of knowledge towards DDIs. Even respondents with high knowledge level (19%) are not practicing the drug interaction screening during the admission of patients. Majority of PGs with low level knowledge agreed to ask doctors than pharmacist about DDIs and prefer to search for DDIs using reference book than online mode as the source of drug information.
Conclusions: In my study, most of the respondents had insufficient knowledge to prevent life threatening DDI’s. So, there is a need to increase medical educational program regarding the importance of screening and assessing of DDI’s before prescribing medicines.References
Moore N, Biour M, Paux G, Loupi E, Begaud B, Boismare F, et al. Adverse drug reaction monitoring: Doing it the French way. Lancet. 1985;2:1056 8.
Bordet R, Gautier S, Le Louet H, Dupuis B, Caron J. Analysis of the direct cost of adverse drug reactions in hospitalised patients. Eur J Clin Pharmacol 2001;56:935 41.
Costa AJ. Potential drug interactions in an ambulatory geriatric population. Fam Pract. 1991;8:234-6.
Tatro DS. Drug interaction facts. St. Louis: JB. Lippincott Co.; 1992.
Tripathi K. Essentials of medical pharmacology. 8th ed. New Delhi: Jaypee Brothers Medical Publishers (P) Ltd; 2019: 988-92.
Juurlink DN, Gomes T, Ko DT. A population-based study of the drug interaction between proton pump inhibitors and clopidogrel. Can Med Assoc J. 2009;180(7):713-8.
Fraunfelder FW, Fraunfelder FT. Evidence for a probable causal relationship between tretinoin, acitretin, and etretinate and intracranial hypertension. J Neuro Ophthalmol. 2004;24(3):214-6.
Webb DJ, Freestone S, Allen MJ, Muirhead GJ. Sildenafil citrate and blood-pressure lowering drugs: results of drug interaction studies with an organic nitrate and a calcium antagonist. Am J Cardiol. 1999;83(5A):21C-8.
Horlocker TT. Regional anaesthesia in the patient receiving antithrombotic and antiplatelet therapy. Br J Addiction. 2011;1:96-106.
Page SR, Yee KC. Rhabdomyolysis in association with simvastatin and dosage increment in clarithromycin. Intern Med J. 2014;44(7):690-3.
Gan J, Chen W, Shen H. Repaglinide-gemfibrozil drug interaction: inhibition of repaglinide glucuronidation as a potential additional contributing mechanism. Br J Clin Pharmacol. 2010;70(6):870-80.
Ko Y, Malone DC, D'Agostino JV. Potential determinants of prescribers' drug–drug interaction knowledge. Res Soc Adm Pharm. 2008;4:355-66.
Baxter K. Stockley's drug interactions pocket companion 2011. London and Chicago: Pharmaceutical Press; 2010.
Glassman PA, Simon B, Belperio P, Lanto A. Improving recognition of drug interactions: benefits and barriers to using automated drug alerts. Med Care. 2002;40:1161-71.
Feldstein AC, Smith DH, Perrin N. Reducing warfarin medication interactions: an interrupted time series evaluation. Arch Intern Med. 2006;166:1009-15.
