ArticleCureus2025
A Multifaceted Analysis of Self-Medication With Antibiotics in South-East Delhi: A Mixed-Method Study Among Adults Who Self-Reported Antibiotic Use in the Past Three Months.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives The misuse of antibiotics fuels antimicrobial resistance (AMR), rendering treatments ineffective, increasing healthcare costs, and increasing mortality. This study estimated the prevalence, patterns, and drivers of self-medication with antibiotics (SMA) among adults, alongside exploring the reasons behind this practice. Methodology This community-based mixed-method study ran from January 2023 to June 2024. Simple random sampling selected 250 participants for the quantitative component, and purposive sampling chose 19 participants for the qualitative component. Descriptive statistics, cross-tabulation, and logistic regression were executed using SPSS (IBM Corp. Released 2019. IBM SPSS Statistics for Windows, Version 26.0. Armonk, NY: IBM Corp). Thematic analysis of focus group discussions (FGDs) was done using NVivo 14 (Lumivero 2023,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.