Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Exploration of Self-Medication: Examining Knowledge, Attitudes, and Practices among Undergraduate Medical Students – A Cross-Sectional Study

Authors: Nabeela Mohamed; A.R. Radhika; Suresh Babu Sayana; Kesharaju Anusha; Gujju Chandhini Reddy;

Exploration of Self-Medication: Examining Knowledge, Attitudes, and Practices among Undergraduate Medical Students – A Cross-Sectional Study

Abstract

Introduction: Self-medication is widespread among medical students, impacting health outcomes. Understanding knowledge, attitudes, and practices (KAP) on self-medication among this population is essential to guide interventions for responsible medication use. Methods: A cross-sectional study was conducted among 300 undergraduate medical students at Government Medical College Suryapet to assess their KAP towards self-medication using a structured questionnaire. Descriptive statistics were employed to analyse the data. Results: Demographic: The sample comprised 150 males and 150 females. Age distribution: 35%, 42%, and 23% were aged 18-20, 21-23, and above 23. Year of study distribution: 31%, 36%, and 33% in 2nd, 3rd, and 4th year. Approximately 3% reported that they have chronic medical illnesses. Knowledge: Fifty four percent accurately defined self-medication. 62% acknowledged potential adverse effects in all medications. Furthermore, 57% stressed the importance of basic drug knowledge was essential for self-medication. While 65% correctly identified age-based self-medication limitations.41% suggested discontinuation if adverse effect appears. Attitude: Fifteen percent endorsed that all dosage ranges posed risks, and 20% strongly agreed that self-medication was unsafe across age groups. Further, 53% endorsed close symptom monitoring during self-medication, while 64% believed self-medication drugs could interact with other drugs and food. Additionally, 45% considered certain self-medication drugs unsafe during pregnancy. Practice: Twenty nine percent admitted consuming medication without reading package inserts, 17% shared prescriptions with symptomatic peers. Additionally, 38% self-medicated without medical knowledge, and 21% extended self-medication without medical oversight. Cost-saving motivated 25%, while 18% were uncertain about prescription necessity. Moreover, 12% reported adverse effects from self-medication. Conclusion: This study emphasizes the diverse KAP regarding self-medication among undergraduate medical students, with demographic-specific targeted educational interventions that can cultivate responsible self-medication practices, ensuring safe and effective medication use.

Introduction: Self-medication is widespread among medical students, impacting health outcomes. Understanding knowledge, attitudes, and practices (KAP) on self-medication among this population is essential to guide interventions for responsible medication use. Methods: A cross-sectional study was conducted among 300 undergraduate medical students at Government Medical College Suryapet to assess their KAP towards self-medication using a structured questionnaire. Descriptive statistics were employed to analyse the data. Results: Demographic: The sample comprised 150 males and 150 females. Age distribution: 35%, 42%, and 23% were aged 18-20, 21-23, and above 23. Year of study distribution: 31%, 36%, and 33% in 2nd, 3rd, and 4th year. Approximately 3% reported that they have chronic medical illnesses. Knowledge: Fifty four percent accurately defined self-medication. 62% acknowledged potential adverse effects in all medications. Furthermore, 57% stressed the importance of basic drug knowledge was essential for self-medication. While 65% correctly identified age-based self-medication limitations.41% suggested discontinuation if adverse effect appears. Attitude: Fifteen percent endorsed that all dosage ranges posed risks, and 20% strongly agreed that self-medication was unsafe across age groups. Further, 53% endorsed close symptom monitoring during self-medication, while 64% believed self-medication drugs could interact with other drugs and food. Additionally, 45% considered certain self-medication drugs unsafe during pregnancy. Practice: Twenty nine percent admitted consuming medication without reading package inserts, 17% shared prescriptions with symptomatic peers. Additionally, 38% self-medicated without medical knowledge, and 21% extended self-medication without medical oversight. Cost-saving motivated 25%, while 18% were uncertain about prescription necessity. Moreover, 12% reported adverse effects from self-medication. Conclusion: This study emphasizes the diverse KAP regarding self-medication among undergraduate medical students, with demographic-specific targeted educational interventions that can cultivate responsible self-medication practices, ensuring safe and effective medication use.

Related Organizations
Keywords

self-medication, medical students, knowledge, attitude, practice, cross-sectional study.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average
Green