ArticleCureus2023
Enhancing Patient Safety: A Cross-Sectional Study to Assess Medical Interns' Attitude and Knowledge About Medication Safety in Saudi Arabia.
Article in Cureus, 2023. 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
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.
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
2 citing papers in PubMed, 2 citations in OpenAlex.
- Enhancing Patient Safety Education: Cross-Cultural Validation of the APSQ-III in Brazilian Healthcare Students.Nursing reports (Pavia, Italy) · 2025Article
- Patient Safety Attitudes Among Saudi Medical Students and Interns: Insights for Improving Medical Education.Advances in medical education and practice · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction and aim Medication errors (MEs) pose a severe threat in the medical field. Since such errors are preventable, it is paramount for all healthcare workers to be educated on the matter. This study aimed to assess medical interns' attitudes and knowledge of medication safety and errors. We also aimed to validate current university programs to educate students about medication safety and errors. Methods A cross-sectional study that utilized a self-administered online questionnaire comprised 31 questions. The questionnaire was distributed via social media networks, such as WhatsApp, Twitter, email, Instagram, and Snapchat among 100 medical, pharmacy, and nursing interns in Saudi Arabia. The study population included both Saudi and non-Saudi interns. Results The majority of participants, comprising 92% (n=92), indicated that they were familiar with the definition of medication errors (ME). Additionally, 85% (n=85) expressed their willingness to report instances of MEs when medications were not prescribed but required. Moreover, 90% (n=90) of the surveyed individuals expressed their willingness to report MEs in situations where patients did not receive medications as prescribed. In cases where patients experienced harm and required treatment due to an ME, 91% (n=91) of respondents committed to reporting such incidents. A total of 52 (52%) respondents stated that they would report MEs regardless of whether they reached/harmed the patient. A good ME knowledge level was observed in 48% of respondents. A higher likelihood of good ME knowledge was significantly associated with safety reporting system (SRS) awareness and reporting MEs regardless of whether they reached/harmed the patient (p<0.05). College, awareness/attitude, or other demographic factors were not significantly related to ME knowledge (p>0.05). Conclusion This study showed that although interns in the healthcare field do have some knowledge about MEs, there is still a significant need to improve their knowledge. This can be achieved through various ways, one of which is by implementing this topic into the university curricula.
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What OpenQuestion holds
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.