Title

Prescription pattern and adverse drug reactions in respiratory tract infection patients: A prospective study

Authors

Aditya Bharatkumar Pandya*, Shruti Vihang Brahmbhatt, Ervilla Jagin Parmar & Nikita Panchal

Affiliation

Department of Pharmacology, Shrimati Bhikhiben Kanjibhai Shah, Medical Institute and Research Centre, Sumandeep Vidyapeeth Deemed to be University, Piparia, Ta: Waghodia, Vadodara- 391760, Gujarat, India; *Corresponding author

Email

Aditya Bharatkumar Pandya - E-mail: adityapandya1629@gmail.com; Phone: +91-9687723618

Shruti Vihang Brahmbhatt - E-mail: dr.shruti1988@gmail.com

Ervilla Jagin Parmar - E-mail: ervilladass@gmail.com

Nikita Panchal - E-mail: nikitaparmar1191@gmail.com

Article Type

Research Article

Date

Received July 1, 2026; Revised July 31, 2026; Accepted July 31, 2026, Published July 31, 2026

Abstract

Respiratory tract infections (RTIs) are a major cause of hospitalization and antimicrobial use, requiring evaluation of prescribing practices and adverse drug reactions (ADRs). A prospective observational study of 100 hospitalized RTI patients was conducted between September 2024 and March 2026 to evaluate prescribing patterns, WHO prescribing indicators, supportive medications and ADRs. Lower respiratory tract infection was the most common diagnosis (36%); ceftriaxone (29%) was the most frequently prescribed antibiotic, followed by amoxicillin (25%) and azithromycin (24%); the average number of drugs per prescription was 4.25, with 60.7% prescribed by generic name and 67.52% from the National List of Essential Medicines. Most patients recovered (85%) and only five antibiotic-related ADRs were reported. Thus, data shows that prescribing practices were largely rational; however, polypharmacy and empirical antibiotic use highlighted the need for strengthened antimicrobial stewardship and pharmacovigilance.

Keywords

Respiratory tract infections (RTIs), prescription pattern, antimicrobial utilization, adverse drug reactions (ADRs), pharmacovigilance, rational drug use

Citation

Pandya et al. Bioinformation 22(7): 4359-4363 (2026)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.