Purpose: The study aims to verify the accuracy of 10 prevalent nursing diagnoses (NDs) in the emergency service of a Brazilian university hospital.
Methods: The accuracy of 10 prevalent diagnoses was evaluated using the Lunney (1990) scale. The evaluation was based on data recorded from patient charts by nurses. Each diagnosis was evaluated in three separate clinical instances, resulting in a total of 30 evaluations.
Findings: The evaluation characterized 24% (7) of the NDs as highly accurate, while 76% (23) were considered to be of low accuracy.
Conclusion: The low levels of accuracy detected in some diagnoses highlight the need for nurses to develop skills in accurately applying the diagnostic process involving the use of NDs. However, in order to confirm (or not) the observed low levels of diagnostic accuracy, studies with larger sample sizes should be carried out. This is essential as it is recommended that care processes be supported by knowledge about accuracy.
Implications For Nursing Practice: Educational interventions should be implemented that hone the ability to make accurate NDs in clinical nursing practice. Further studies are also needed to evaluate the accuracy of NDs elaborated by nurses in different clinical contexts.
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http://dx.doi.org/10.1111/j.1744-618X.2010.01175.x | DOI Listing |
Health Inf Sci Syst
December 2025
School of Mathematics and Computing, University of Southern Queensland, 487-535 West Street, Toowoomba, QLD 4350 Australia.
Purpose: This paper aims to develop a three-dimensional (3D) Alzheimer's disease (AD) prediction method, thereby bettering current predictive methods, which struggle to fully harness the potential of structural magnetic resonance imaging (sMRI) data.
Methods: Traditional convolutional neural networks encounter pressing difficulties in accurately focusing on the AD lesion structure. To address this issue, a 3D decoupling, self-attention network for AD prediction is proposed.
Front Nutr
January 2025
Department of Urinary Surgery, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Background: Chyle leaks (CL) is a significant postoperative complication following lymph node dissection in cancer patients. Persistent CK is related to a series of adverse outcomes. Nutritional management is considered an effectively strategy that treat CL.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Neurosurgery, Zhaoqing Gaoyao District People's Hospital, Zhaoqing, China.
Background: To explore the application value of multi-disciplinary collaborative diagnosis (MDT) and treatment combined with the case-based learning (CBL) teaching method based on real clinical cases in gynecological malignant tumor practice teaching.
Methods: A total of 120 clinical students who were interning in the Department of Gynecology in our hospital from January 2022 to June 2023 were selected and divided into a research group ( = 60) and a control group ( = 60) according to the random number table method. The research group adopted a MDT combined with the CBL teaching model, while the control group followed a traditional teaching model.
Acta Endocrinol (Buchar)
January 2025
Division of Endocrinology and Metabolism, Department of Internal Medicine, Chi-Mei Medical Center, Taiwan.
Context: Understanding factors delaying recovery in thyrotoxicosis patients is crucial for optimizing treatment plan.
Objective: This study aimed to identify predictive factors for the delayed thyroid function recovery in thyrotoxicosis patients.
Design: The study is a retrospective review of medical records of adult thyrotoxicosis patients diagnosed at Kaohsiung Veterans General Hospital, Taiwan, from January 2014 to December 2021.
Front Public Health
January 2025
Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal.
Introduction: The considerable influence that family members can have on diabetes management is well recognized. Therefore, it is crucial for professionals to acknowledge the impact of the diagnosis on family members. This study aimed to comprehensively identify and understand the needs of family members with an adult diagnosed with diabetes using a two-phased research design.
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