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An Investigation on Self-Medication Practice During the COVID-19 Pandemic Among the Indian Population

Authors: Rohit, Kamboj; Sweta, Kamboj; Anuj, Joginath; Kumar, Guarve; Priyanka, Kriplani; Sachin, Kumar; Surya Prakash, Guatam;

An Investigation on Self-Medication Practice During the COVID-19 Pandemic Among the Indian Population

Abstract

Background: Self-medication has both negative and beneficial effects on people's health, as the COVID-19 epidemic has demonstrated. The goal of the study is to look into the epidemiology of self-medicated medications used for respiratory symptoms, as a COVID-19 preventive, for its symptoms, or after a positive COVID-19 test, and to see how symptom relief is viewed in India, as well as what demographic factors encourage self-medication. Methods: Using a trial version of Qualtrics Core XM software to prototype 24 surveys, a webbased questionnaire was built, tested, and disseminated in several Indian states. Result: In the survey, 519 candidates participated. 43% of respondents reported that all symptoms were relieved. However, just 39% of all respondents took the government-recommended Ayushkwath, and 56% took a vitamin C tablet to improve immunity. Aspirin, ibuprofen, and azithromycin were shown to be the most commonly used medications for various symptoms, including fever, weariness, cough, sneezing, loose motion, and immune boost, and breathing problems. Conclusion: Self-medication was common, with many people taking drugs for which there was little scientific evidence. The frequency of self-medication was connected to age, region, and employment position.

Keywords

Fever, Surveys and Questionnaires, Humans, COVID-19, Self Medication, Pandemics

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Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average