Evidence map›Paper›PMID 42415005›Full record

ArticleBMC medical education2026

Assessment of the knowledge, attitudes, and practices of pharmacy students toward self-medication using artificial intelligence: a cross-sectional study.

Noor A Barakat, Amal Akour, Otrujja Alkhaldi, Haneen Barakat, Muna Barakat

Abstract read
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Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Noor A BarakatDepartment of Allied Medical Sciences, Zarqa University College, Al-Balqa Applied University, Zarqa, 13110 , Jordan. noorbarakat@bau.edu.jo.ORCID http://orcid.org/0000-0001-6179-1959
Amal AkourDepartment of Pharmacology and Therapeutics, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE.ORCID http://orcid.org/0000-0002-2789-8514
Otrujja AlkhaldiDepartment of Pharmacy, Faculty of Pharmacy, Middle East University, Amman, Jordan.
Haneen BarakatDepartment of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, The Hashemite University, Zarqa, Jordan.
Muna BarakatDepartment of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Applied Science Private University, Amman, Jordan.ORCID http://orcid.org/0000-0002-7966-1172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objectives of our study were to assess self-reported knowledge, attitudes and practices (KAP) among pharmacy students regarding self-medication (SM) using artificial intelligence (AI) for personal use, to determine the relationships amongst KAP parameters, and to examine the association between students' demographics with their KAP.

methodsA cross-sectional study was conducted. Four hundred and four pharmacy students completed the Arabic online survey. The survey consisted of four sections demographics, KAP. Mann-Whitney U tests, Kruskal-Wallis H test and Spearman correlation were used to analyze data.

resultsThe majority of pharmacy students were female (77.5%), enrolled at public universities (70.8%) as bachelor's degree (53.7%). Students showed moderate self-reported knowledge (36.64 ± 5.39, range: 9-45) and attitudes (46.02 ± 7.94, range: 12-60), while mean practice scores were low to moderate. Self-reported Knowledge and practices scores were significantly associated with educational level (p = 0.044 and p = 0.005, respectively), however gender, university type and chronic diseases status had no significant differences observed among KAP. Positive relationships were observed between age and attitudes. Moreover, strong correlations were demonstrated among KAP. Saving time and effort was the main motivation for SM using AI (52.0%). The most utilized AI tool was ChatGPT (77.48%) and painkillers (47.3%) were the most searched drug for SM.

conclusionPharmacy students in this study exhibited relatively low-to-moderate levels of practice regarding SM using AI, despite having moderate self-reported knowledge and positive attitudes. Considering rising reliance on AI-based health platforms, integrating AI-related modules into pharmacy curricula will potentially promote safe, responsible, and effective utilization of AI tools in SM practices.

Indexed as

Artificial IntelligenceHealth Knowledge, Attitudes, PracticeSelf MedicationStudents, PharmacyAdultCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesYoung AdultArtificial IntelligenceDigital healthPatient SafetyPharmacy StudentsSelf-medication

Identifiers

PMID42415005
PMCPMC13628916

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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.