Evidence map›Paper›PMID 38427639›Full record

ArticlePloS one2024

Knowledge, attitude and practice among pharmacy students and faculty members towards artificial intelligence in pharmacy practice: A multinational cross-sectional study.

Hisham E Hasan, Deema Jaber, Samaa Al Tabbah, Nabih Lawand, Hana A Habib, Noureldin M Farahat

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 53 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 4 countries.

Hisham E HasanDepartment of Clinical Pharmacy, Faculty of Pharmacy, Zarqa University, Zarqa, Jordan.ORCID 0000-0001-6513-2037
Deema JaberDepartment of Clinical Pharmacy, Faculty of Pharmacy, Zarqa University, Zarqa, Jordan.ORCID 0000-0002-4691-0427
Samaa Al TabbahSchool of Pharmacy, Lebanese American University, Beirut, Lebanon.
Nabih LawandDepartment of Psychology, Faculty of Medicine, Beirut Arab University, Beirut, Lebanon.
Hana A HabibDepartment of Pharmaceutics, Faculty of Pharmacy, Benghazi University, Benghazi, Libya.
Noureldin M FarahatDepartment of Clinical Pharmacy, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt.
Zarqa University · JOAlexandria University · EGBeirut Arab University · LBLebanese American University · LBUniversity of Benghazi · LY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModern patient care depends on the continuous improvement of community and clinical pharmacy services, and artificial intelligence (AI) has the potential to play a key role in this evolution. Although AI has been increasingly implemented in various fields of pharmacy, little is known about the knowledge, attitudes, and practices (KAP) of pharmacy students and faculty members towards this technology.

objectivesThe primary objective of this study was to investigate the KAP of pharmacy students and faculty members regarding AI in six countries in the Middle East as well as to identify the predictive factors behind the understanding of the principles and practical applications of AI in healthcare processes. MATERIAL AND

methodsThis study was a descriptive cross-sectional survey. A total of 875 pharmacy students and faculty members in the faculty of pharmacy in Jordan, Palestine, Lebanon, Egypt, Saudi Arabia, and Libya participated in the study. Data was collected through an online electronic questionnaire. The data collected included information about socio-demographics, understanding of AI basic principles, participants' attitudes toward AI, the participants' AI practices.

resultsMost participants (92.6%) reported having heard of AI technology in their practice, but only a small proportion (39.5%) had a good understanding of its concepts. The overall level of knowledge about AI among the study participants was moderate, with the mean knowledge score being 42.3 ± 21.8 out of 100 and students having a significantly higher knowledge score than faculty members. The attitude towards AI among pharmacy students and faculty members was positive, but there were still concerns about the impact of AI on job security and patient safety. Pharmacy students and faculty members had limited experience using AI tools in their practice. The majority of respondents (96.2%) believed that AI could improve patient care and pharmacy services. However, only a minority (18.6%) reported having received education or training on AI technology. High income, a strong educational level and background, and previous experience with technologies were predictors of KAP toward using AI in pharmacy practice. Finally, there was a positive correlation between knowledge about AI and attitudes towards AI as well as a significant positive correlation between AI knowledge and overall KAP scores.

conclusionThe findings suggest that while there is a growing awareness of AI technology among pharmacy professionals in the Middle East and North Africa (MENA) region, there are still significant gaps in understanding and adopting AI in pharmacy Practice.

Indexed as

Pharmaceutical ServicesPharmacyStudents, PharmacyArtificial IntelligenceAttitude of Health PersonnelCross-Sectional StudiesFacultyHealth Knowledge, Attitudes, PracticeHumansLebanon

Identifiers

PMID38427639
PMCPMC10906880
OpenAlexW4392361641

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.