Assessment of antibiotic prescription patterns in a tertiary care hospital in chennai: a retrospective study

The inappropriate and excessive use of antibiotics is a key driver of antimicrobial resistance (AMR), posing a significant global health challenge. Tertiary care hospitals play a vital role in antibiotic stewardship by ensuring rational prescribing practices. This retrospective observational study evaluated antibiotic prescription patterns in a tertiary care hospital in Chennai, analyzing 300 prescriptions from the Medicine, Surgery, and Orthopaedics departments. The findings revealed distinct trends, with monotherapy being more common in Medicine (46%), while Surgery (90%) and Orthopaedics (70%) relied heavily on fixed-dose combinations (FDCs). Injectable antibiotic use was notably high, particularly in Orthopaedics (95.4%) and Surgery (90.2%), with a concerning absence of generic drug prescriptions across all departments. Adherence to the World Health Organization (WHO) Essential Drug List (EDL) was moderate, with Surgery demonstrating the highest compliance (60.2%). Cephalosporins and β-lactam/β-lactamase inhibitor combinations were the most frequently prescribed antibiotics. The study underscores the need for enhanced antibiotic stewardship strategies, including increasing generic drug prescriptions, optimizing oral antibiotic use where feasible, and strengthening adherence to standard treatment guidelines and the WHO EDL.

Authors

Publication Details

Journal
International Journal of Research in Pharmaceutical Sciences
Published
2025-03-23
DOI
https://doi.org/10.26452/ijrps.v16i1.4752
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of antibiotic prescription patterns in a tertiary care hospital in chennai: a retrospective study

Thonangi Yeshwanth, Byram Anand
International Journal of Research in Pharmaceutical Sciences
Antibiotic Use and Resistance
article

Assessment of antibiotic prescription patterns in a tertiary care hospital in chennai: a retrospective study

Thonangi Yeshwanth, Byram Anand
article en

Abstract

The inappropriate and excessive use of antibiotics is a key driver of antimicrobial resistance (AMR), posing a significant global health challenge. Tertiary care hospitals play a vital role in antibiotic stewardship by ensuring rational prescribing practices. This retrospective observational study evaluated antibiotic prescription patterns in a tertiary care hospital in Chennai, analyzing 300 prescriptions from the Medicine, Surgery, and Orthopaedics departments. The findings revealed distinct trends, with monotherapy being more common in Medicine (46%), while Surgery (90%) and Orthopaedics (70%) relied heavily on fixed-dose combinations (FDCs). Injectable antibiotic use was notably high, particularly in Orthopaedics (95.4%) and Surgery (90.2%), with a concerning absence of generic drug prescriptions across all departments. Adherence to the World Health Organization (WHO) Essential Drug List (EDL) was moderate, with Surgery demonstrating the highest compliance (60.2%). Cephalosporins and β-lactam/β-lactamase inhibitor combinations were the most frequently prescribed antibiotics. The study underscores the need for enhanced antibiotic stewardship strategies, including increasing generic drug prescriptions, optimizing oral antibiotic use where feasible, and strengthening adherence to standard treatment guidelines and the WHO EDL.

International Journal of Research in Pharmaceutical SciencesVol. 16(1)
Openalex Percentile: Top 89%
Antibiotic Use and Resistance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.