https://orcid.org/0000-0002-3344-1086
Abstract
Background
Because systemic corticosteroids are associated with severe adverse effects, a study on the prescribing pattern for rationalizing drug therapy is needed.
Objective
The purpose of this study was to assess the prescription pattern of systemic steroidal drugs at the outpatient department of Menelik II Referral Hospital, Addis Ababa, Ethiopia, 2019.
Methods
A cross-sectional study design was used to assess the prescription pattern of systemic steroidal drugs in the outpatient department of Menelik II Referral Hospital. A total of 384 patient charts were included in the study. The sample was selected by using a non-probability quota sampling method. The data was collected from patient charts by using a checklist and analyzed by using SPSS version 20 computer software package. Finally, the data was presented with tables, graphs and charts.
Results
A total of 384 patient medical charts were reviewed during the study period. From which, 61.2% were females and 22.4% were in the age group of 31–40 years. The majority, 63.5%, of systemic corticosteroid use was indicated for respiratory disorders and the most frequently prescribed drug was prednisolone (42.4%). It was also found that intermediate acting corticosteroids (prednisolone and methyl prednisolone) were mostly prescribed during the study period.
Conclusion
In this study, most steroids were indicated for respiratory disorders and prednisolone was found to be the most widely prescribed medication among systemic steroids.
Abbreviations
GC, glucocorticoids; IV, intravenous; IM, intramuscular; PO, per oral; WHO, World Health Organization.
Data Sharing Statement
The datasets used during the current study are available from the corresponding author on reasonable request.
Acknowledgments
The authors sincerely thank Addis Ababa University, College of Health Sciences, School of Pharmacy, Department of Pharmacology and Clinical Pharmacy for approving this study. We also thank the staff of Menelik II Referral Hospital for their cooperation and allowing us to conduct this study.
Author Contributions
All authors contributed to data analysis, drafting or revising the article, have agreed on the journal to which the article will be submitted, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.
Disclosure
The authors declare that they have no financial and/or non-financial competing interests.