Original ArtcileJournal of Young PharmacistsVol. 12 | Issue 3 | 2020 | pp. 242–245Open access
Assessment of Drug use Pattern in Paediatric Department of a Tertiary Care Hospital
- 1,
- 1,
- 1,
- 1,
- 1*,
- 2
- 1 Department of Pharmacy Practice, NGSM Institute of Pharmaceutical Sciences, Nitte (Deemed to be University), Paneer, Deralakatte, Mangaluru, Karnataka, INDIA.
- 2 Department of Paediatrics, Justice KS Hegde Charitable Hospital, Nitte (Deemed to be University) Paneer, Deralakatte, Mangaluru, Karnataka, INDIA.
Published in Journal of Young Pharmacists
Correspondence: Juno J. Joel
Department of Pharmacy Practice, NGSM Institute of Pharmaceutical Sciences, Nitte (Deemed to be University), Paneer, Deralakatte, Mangaluru, Karnataka, INDIA.
Email: junojoel@nitte.edu.in
Copyright: © 2020 Manuscript Technomedia. This is an open access article.
- Published:
- Sep 22, 2020
- Received:
- Mar 13, 2020
- Accepted:
- Jul 16, 2020
How to cite
Mathai, D., Salim, S., Hinge, R., UP, N., Joel, J. J., & Shenoy, V. (2020). Assessment of Drug use Pattern in Paediatric Department of a Tertiary Care Hospital. Journal of Young Pharmacists, 12(3), 242–245. https://doi.org/10.5530/jyp.2020.12.68
Abstract
Background: Prescription analysis is an essential means to monitor drug use and ascertain the rationality of prescriptions. This study was conducted to assess the drug usage pattern and identify the possible drug-drug interaction in the paediatric ward of the tertiary care hospital. Methods: A prospective observational study was conducted in the paediatric department to analyse the prescriptions using WHO core prescribing indicators and also to identify the possible drug-drug interactions. The study was conducted for a period of 6 months. The drug therapy details were collected and documented in a specially designed data collection form. Descriptive statistics were applied to analyse the data. Results: Among 340 prescriptions studied, 1091 drugs were prescribed. The most commonly prescribed drug class was antibiotics (25.93%), followed by antipyretic and anti-inflammatory agents (16.68%). Acetaminophen was the frequently prescribed drug (14.57%), followed by amoxicillin-clavulanic acid (12.09%). The average number of drugs prescribed per prescription was 3.2. 24.11% of drugs were prescribed as generics. The percentage of antibiotics and injections prescribed was 68.52% and 25.58%, respectively. The percentage of drugs that are prescribed from EDL was 88.52%. One hundred forty-three drug interactions were identified from the prescriptions, of which the majority were found to be moderate in severity (86.01%). Conclusion: The study observed increased use of antibiotics when associated with WHO core prescribing indicators. It also observed a majority of moderate drug-drug interactions.
Keywords
Subject
Article metadata
| Title | Assessment of Drug use Pattern in Paediatric Department of a Tertiary Care Hospital |
|---|---|
| Authors | Debbie Mathai; Saumiya Salim; Ram Hinge; Nandakumar UP; Juno J. Joel; Vijaya Shenoy |
| Affiliations | Department of Pharmacy Practice, NGSM Institute of Pharmaceutical Sciences, Nitte (Deemed to be University), Paneer, Deralakatte, Mangaluru, Karnataka, INDIA.; Department of Paediatrics, Justice KS Hegde Charitable Hospital, Nitte (Deemed to be University) Paneer, Deralakatte, Mangaluru, Karnataka, INDIA. |
| Corresponding author | junojoel@nitte.edu.in |
| Journal | Journal of Young Pharmacists |
| Volume / Issue | Vol. 12, Issue 3 (2020) |
Also in this issue
- An overview on Pharmacokinetics of Polymeric Nanoparticles Intended for Oral Deliverypp. 187–189
- Biomedical Applications of Calcium Phosphate Ceramics as Biomaterialspp. 190–192
- Recent Advances in Delivery of Antifungal Agents – A Reviewpp. 193–196
- Xylitol, a Promising Allied for Oral Heathpp. 197–200
- Overview of Herbal Therapy with Leave of Gynura procumbens (Lour.) Merrpp. 201–206
Readers Also Viewed
Development and Validation of UV/visible Spectrophotometric Method for Estimation of Piroxicam from Bulk and Formulation
Sandip Mohan Honmane, Kunal Rajaram Yadav, Yuvraj Dilip Dange
Apr 23, 2025
Effects of Artificial Intelligence on Academic Performance of Library and Information Science University Students: A Meta-Analysis (2023-2025)
Kayode Sunday John Dada
Aug 6, 2026
Bridging Innovation and Impact: A Multidisciplinary Approach to Contemporary Research Challenges
Mueen Ahmed KK
Aug 11, 2026