ArticleAnnals of medicine and surgery (2012)2024
Self-diagnosis and self-medication based on internet search among Non-Medical University students of Karachi.
Article in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Navigating the artificial intelligence-informed patient: a cross-sectional study of physicians' perceptions and clinical practices.Frontiers in public health · 2026Article
- Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: For a decade, the topic of self-diagnosis and self-medication has gained significant attention due to the widespread availability of information on the internet and over-the-counter medication. This research explores the rational considerations behind individuals' self-diagnosis and self-medication practices. Our main objective is to find out the frequency of self-diagnosis and self-medication in the general population and its associated risks and benefits. Methods: A cross-sectional community-based prospective study was conducted over 7 months and included 160 students from various nonmedical universities in Karachi. A questionnaire regarding baseline characteristics, self-medication, and self-diagnosis was made, and the data was collected from the participants and then analyzed using SPSS statistical software. Results: One-fifth of the participants used the method of diagnosing themselves regularly, whereas 9% of the involved population demonstrated medicating themselves very often. However, most of the population had self-diagnosed (50.6) or self-medicated (61.9) sometimes. The internet was the primary source of searching (75%), and home remedies were the preferred medications (71.7%). The two primary reasons for this were the scarcity of time and resources. Conclusion: Overall, our study points out the significance of self-medication and self-diagnosis among different nonmedical students of Karachi. Teaching people about medicines, enforcing strong prescription policies, and providing medical facilities are vital steps toward preventing this problem. The role of doctors and medical students is significant; therefore, detailed doctor-patient communication needs to be encouraged.
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