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Pattern of Self-Reported Allergies and Medication-Related Reactions Among Second-Year Diploma in Pharmacy Students: A Cross-Sectional Survey

Sunanda ., Subba Dil, Rosy .

Abstract


Background: Allergic conditions and medication-related reactions are crucial in medication safety, as inaccurate classification of allergies can impact medication use and clinical decisions. It is essential for pharmacy practice to differentiate true allergic reactions from other medication-related symptoms.

Objective: To evaluate self-reported allergies, environmental and familial influences, and reactions to medications, particularly antibiotics, in second-year Diploma in Pharmacy students..

 Method: A cross-sectional survey was conducted with 35 second-year Diploma in Pharmacy students to assess various factors related to allergies. Data were collected over two days via a structured questionnaire administered through Google Forms, covering demographic characteristics, types of allergies, confirmation of allergies, environmental influences, medication-related symptoms, and reactions to antibiotics, including skin manifestations and severity. Data analysis was performed using frequencies and percentages after exporting to Google Sheets/Microsoft Excel.

Result: Of the 35 respondents, 77.1% were aged 20-29 years. The most common allergy was food allergy (40.0%), followed by drug allergy (22.9%). 57.1% reported their allergies were confirmed by self-report, without independent verification. Hand eczema was noted by 45.7% of participants. 82.9% had never been prescribed adrenaline/epinephrine, and 65.7% reported no medication-related symptoms. Among 34 responses to severity, 50.0% chose “other,” 20.6% reported moderate reactions, and 17.6% reported mild-to-moderate reactions.

Conclusion: The survey revealed self-reported food and drug allergies, skin manifestations, and medication-related symptoms in second-year D.Pharm students, trigger identification, and patient education. Due to the small sample size of 35 students and reliance on self-reported data, findings should not be seen as representative of the broader population. Recommendations include larger studies with standardized definitions and clinical assessments.


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References


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