International Journal of Research and Scientific Innovation (IJRSI)
Prescription Pattern of Anti-Asthma Medications in University of Port-Harcourt Teaching Hospital Choba, Rivers State, Nigeria
Published February 17, 2026 • Vol. 13, Issue 1, pp. 2350–2355Open Access
DOI: 10.51244/IJRSI.2026.13010205
Abstract
Background: Asthma is a chronic respiratory condition that significantly impact on the quality of life and poses a substantial burden on healthcare systems. Effective management of asthma relies heavily on appropriate drug utilization. This study aimed to evaluate the prescription patterns of anti-asthma drugs at the University of Port Harcourt Teaching Hospital (UPTH), Choba, Rivers State, over a four-year period (2020-2023). Specific objectives included 1) To determine the frequency and distribution of anti-asthma drug prescriptions, 2) To identify the most frequently used routes of administration, 3) To identify trends in anti-asthma drug prescription, and 4) To determining the average frequency of hospital visits by asthma patients.
Keywords: Prescription, Pattern, Asthma, Pattern, Management
| Journal | International Journal of Research and Scientific Innovation (IJRSI) |
|---|---|
| ISSN | 2321-2705 |
| Volume / Issue | Volume 13, Issue 1 |
| Pages | 2350–2355 |
| Publication date | February 17, 2026 |
| DOI | 10.51244/IJRSI.2026.13010205 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Bagbi B. M, & Njele C (2026). Prescription Pattern of Anti-Asthma Medications in University of Port-Harcourt Teaching Hospital Choba, Rivers State, Nigeria. International Journal of Research and Scientific Innovation (IJRSI), 13(1), 2350-2355. https://doi.org/10.51244/IJRSI.2026.13010205
BibTeX
@article{Bagbi2026,
title = {Prescription Pattern of Anti-Asthma Medications in University of Port-Harcourt Teaching Hospital Choba, Rivers State, Nigeria},
author = {Bagbi B. M and Njele C},
journal = {International Journal of Research and Scientific Innovation (IJRSI)},
volume = {13},
number = {1},
pages = {2350--2355},
year = {2026},
doi = {10.51244/IJRSI.2026.13010205},
publisher = {RSIS International}
}