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Prescription and Drug Use Patterns in Non- COVID Ambulatory Patients in Bangladesh during COVID-19 pandemic

Md Bappy Hawlader, Md. Saiful Islam, Kazi Milenur Rahman Prattay, Md Raihan Sarkar, Sheikh Zahir Raihan, Md. Abdul Muhit, Nahid Sharmin

Journal of Research and Health, 2026

Abstract

Prescription and Drug Use Patterns in Non-COVID Ambulatory Patients in Bangladesh during COVID-19 pandemic Background: Irrational prescribing has been a major public health concern worldwide, including in Bangladesh.Lack of effective treatment guidelines and drug regulation policies to manage COVID-19 allowed an upsurge in this malpractice during the pandemic.This cross-sectional study aimed to evaluate the prescription pattern in non-COVID ambulatory patients during the COVID-19 outbreak in Bangladesh.Methods: A total of 600 prescriptions were randomly collected from non-COVID outpatients at three tertiary hospitals in Dhaka, Bangladesh, between December 2020 and June 2021.COVID-19 status was confirmed through verbal screening and antigen test verification when applicable.Data were organized and analyzed using Google spreadsheet, MS Excel, and SPSS software (version 26.0).Results: Mean±SD number of drugs prescribed per prescription was 5.25±2.1 and dependent on patients' age groups (P<0.001) and gender (P=0.013).Drugs were prescribed by brand names, mostly 3107(98.69%),and 2452(77.9%) of them belonged to the essential drugs list.Most prescribed drugs were from gastroenterology 2025(64.33%)and respiratory group 1716 (54.50%).A mean of 7.38 errors were found per prescription of which the predominant type was error of omission.Each prescription carried 1.157 errors of omission related to the prescriber's details, 349(50.29%),and diagnosis, 144(20.75%).A total of 427(13.56%) of…

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Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

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