Background: Given the nature of the health profession, medical errors are considered a common problem. Nursing students are inevitably likely to make medical errors due to the lack of adequate and safe learning environments during their clinical practice.
Aim: We aimed to investigate the relationship between the tendency to make medical errors and the level of mindfulness of senior nursing students.
Methods: Data were collected using the Malpractice Trend Scale (MTS) and the Mindful Attention Awareness Scale (MAAS). This study was reported following STROBE.
Results: The students' MAAS total score mean was 62.96 ± 1.64. The MTS total score mean was 79.91 ± 1.25. According to Pearson correlation analysis, there was a weak, positive (r = 0.194) and statistically insignificant (p > 0.05) relationship between the total scores of MTS and MAAS.
Conclusions: It was concluded that as the students' mindfulness levels increase, their tendency to make medical error decreases, but this result is not statistically significant.
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http://dx.doi.org/10.1186/s12909-025-06920-6 | DOI Listing |
QJM
March 2025
Facultad de Ciencias de la Salud, Centro de Investigaciones en Ciencias de la Vida, Universidad Simón Bolívar, Barranquilla, Colombia.
J Epidemiol Glob Health
March 2025
Precision Medicine Research Center, Sichuan Provincial Key Laboratory of Precision Medicine and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Background: Older outpatients face a heightened risk of potentially inappropriate prescribing (PIP). However, there is a paucity of evidence evaluating PIP in older outpatients attending surgical outpatient departments in China using Chinese-specific criteria. This study aimed to assess the prevalence of PIP and identify associated factors within this population.
View Article and Find Full Text PDFInt J Pharm Pract
March 2025
Griffith University School of Pharmacy and Medical Science, 1 Parklands Drive, Southport, QLD 4215, Australia.
Objective: This study explored community pharmacists' experiences and perceptions of information transfer from Queensland health hospitals for patients during transitions of care and the current utilization of electronic medical records for accessing patient information.
Methods: Qualitative methodology was used involving in-depth semi-structured interviews with community pharmacists to explore their experiences and perceptions with information transfer during patients' transitions of care. Purposive sampling was used to ensure the participation of community pharmacists who had experience with the medication management of patients discharged from Queensland health hospitals.
Radiol Artif Intell
March 2025
Department of Radiology, Duke University Hospital, 2301 Erwin Rd, Durham, NC 27710.
Purpose To develop and evaluate an automated system for extracting structured clinical information from unstructured radiology and pathology reports using open-weights language models (LMs) and retrieval augmented generation (RAG) and to assess the effects of model configuration variables on extraction performance. Materials and Methods This retrospective study utilized two datasets: 7,294 radiology reports annotated for Brain Tumor Reporting and Data System (BT-RADS) scores and 2,154 pathology reports annotated for mutation status (January 2017 to July 2021). An automated pipeline was developed to benchmark the performance of various LMs and RAG configurations for structured data extraction accuracy from reports.
View Article and Find Full Text PDFRadiol Artif Intell
March 2025
Department of Medical Physics, BC Cancer-Kelowna, 399 Royal Ave, Kelowna, BC, Canada V1Y 5L3.
Purpose To test a commercial artificial intelligence (AI) system for breast cancer detection at the BC Cancer Breast Screening Program. Materials and Methods In this retrospective study of 136,700 women (age: µ = 58.8, σ = 9.
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