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Background: Patient trust in medical staff is an important ethical issue that can influence various patient behaviors and attitudes, such as seeking healthcare, sharing confidential information, accepting treatment, and adhering to recommendations. This study aimed to assess patient trust in nurses and its relationship to the quality of care and communication skills of nurses in emergency departments.
Methods: This descriptive correlational study was conducted in 2023 in the emergency departments of medical training centers of Ardabil University of Medical Sciences, Iran. A total of 378 patients was selected using a quota sampling method. Data were collected using three valid and reliable tools: the Quality Patient Care (QUALPAC) scale, the Health Communication Feedback Questionnaire (HCFQ), and the Trust in Nurses Scale (TNS).The data were analyzed using independent t-tests, one-way analysis of variance, and Pearson's correlation coefficient tests using SPSS version 24.
Results: The majority of patients (99.2%) rated nurses' communication skills as moderate, with none rating them as poor. The average scores were 27.59 ± 2.76 for patient trust in nurses, 72.43 ± 3.30 for nurses' communication skills, and 198.30 ± 14.60 for the quality of nursing care. A significant correlation was found between patient trust in nurses and the overall quality of nursing care (r = 0.256, P < 0.001) as well as its dimensions. However, there was no significant relationship between patient trust in nurses and patient's perception of the nurses' communication skills (r = 0.046, P = 0.369).
Conclusions: The findings indicate that patient trust in nurses is positively and significantly associated with the perceived quality of nursing care. As the quality of care improves, patient trust in nurses also increases. Therefore, nurses should focus on providing high-quality care to enhance patient trust.
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http://dx.doi.org/10.1186/s12912-024-02241-z | DOI Listing |
Nat Genet
September 2025
Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Despite advances in genomic diagnostics, the majority of individuals with rare diseases remain without a confirmed genetic diagnosis. The rapid emergence of advanced omics technologies, such as long-read genome sequencing, optical genome mapping and multiomic profiling, has improved diagnostic yield but also substantially increased analytical and interpretational complexity. Addressing this complexity requires systematic multidisciplinary collaboration, as recently demonstrated by targeted diagnostic workshops.
View Article and Find Full Text PDFNat Rev Nephrol
September 2025
Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
The global shortage of suitable donor kidneys is the primary challenge in kidney transplantation, and it is exacerbated by ageing donors with increased numbers of health issues. Improving organ assessment, preservation and conditioning could enhance organ utilization and patient outcomes. Hypothermic machine perfusion (HMP) is associated with better results than static cold storage by reducing delayed graft function and improving short-term graft survival, especially in kidneys recovered from marginal-quality donors.
View Article and Find Full Text PDFBone Marrow Transplant
September 2025
Clinical Hematology Department, Institut Català d'Oncologia-Hospitalet, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), University of Barcelona, Barcelona, Spain.
For over two decades, the EBMT has updated recommendations on indications for haematopoietic cell transplantation (HCT) practice based on clinical and scientific developments in the field. This is the ninth special EBMT report on indications for HCT for haematological diseases, solid tumours and immune disorders. Our aim is to provide guidance on HCT indications according to prevailing clinical practice in EBMT countries and centres.
View Article and Find Full Text PDFBDJ Open
September 2025
Operative Dentistry & Endodontics, Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan.
Background: Artificial Intelligence (AI) has become increasingly integrated into dental diagnostics, particularly for detecting carious lesions. While AI offers benefits such as improved accuracy and efficiency, its use raises important ethical concerns, including transparency, patient privacy, autonomy, diversity and accountability. This scoping review aims to identify these ethical concerns using a structured ethical framework.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Global Health Economics Centre, Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Background: Artificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagnostic performance and its application when deployed in real-world conditions.
Objective: This study aimed to assess the technical feasibility of integration and diagnostic performance of validated DR screening (DRS) AI algorithms in real-world outpatient public health settings.