Objective: This study aimed to develop an innovative prioritizing model for conducting medication reconciliation (MR) at a fast-paced workflow emergency department (ED) and to implement an efficient working model for MR.
Patients And Methods: A total of 276 patients were included at the ED, Diakonhjemmet Hospital, Norway, and medication discrepancies (MDs) between hospital admission records and information on prehospital medication use were recorded. Clinically relevant medication discrepancies (crMDs) were assessed by a multidisciplinary panel. Binary logistic regression was used to construct the prioritizing model from patient characteristics correlated to crMDs, and patient characteristics included in the model should be easily available in the acute situation. A survey among the physicians made up the basis for the working model for conducting MR.
Results: In total, 62% of the patients had one or more crMD. The following turned out to be risk factors for having a crMD suitable for inclusion in the model: sex (woman), age (≥60), one or more admission to hospital in the last 12 months and admission causes: surgical, malfunction, cancer. The prioritizing model correctly classified 76.1% of the patients as high-risk patients for having a crMD. In the new working model, in which clinical pharmacists/trained nurses perform MR before the physician did the medication history, was perceived to be more time efficient and also clarified questions related to the medication history early in the admission process.
Conclusion: This innovative prioritizing model is designed to be practical in the fast-paced workflow at the ED and can identify what patients are at increased risk of having crMDs. The multidisciplinary working model was proven time efficient and could contribute towards increased patient safety.
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http://dx.doi.org/10.1097/MEJ.0000000000000355 | DOI Listing |
J Adv Nurs
January 2025
Nursing Practice Development Unit, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Aims: To evaluate the implementation process of a novel program focused on improving interactive (dialogic) feedback between clinicians and students during placement.
Design: Quantitative cross-sectional hybrid type 3 effectiveness-implementation study driven by a federated model of social learning theory and implementation theory.
Methods: From June to November 2018, feedback approaches supported by socio-constructive learning theory and Normalisation Process Theory were enacted in four clinical units of a healthcare facility in southeast Queensland, Australia.
Eur Spine J
January 2025
Department of Orthopedics, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, Guangdong, China.
Objectives: Sleep disorders are considered a risk factor for aging and skeletal degeneration, but their impact on intervertebral disc degeneration (IDD) remains unclear. The aim of this study was to assess associations between sleep characteristics and IDD, and to identify potential causal relationships.
Methods: Exposure factors included six unhealthy sleep characteristics: insomnia, short sleep duration (< 7 h), long sleep duration (≥ 9 h), evening chronotype, daytime sleepiness, and snoring.
Sci Rep
January 2025
School of Transportation and Geometics Engineering, Yangling Vocational & Technical College, Yangling, 712100, Shaanxi, China.
This work aims to improve the accuracy and efficiency of flood disaster monitoring, including monitoring before, during, and after the flood, to achieve accurate extraction of flood disaster change information. A modified U-Net network model, incorporating the Transformer multi-head attention mechanism (TM), is developed specifically for the characteristics of Synthetic Aperture Radar (SAR) images. By integrating the TM, the model effectively prioritizes image regions relevant to flood disasters.
View Article and Find Full Text PDFAppl Nurs Res
February 2025
Nursing Department, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
Background: The Patient Infotainment Terminal (PIT) plays a pivotal role in Smart Health, enabling hospitals to actively pursue the objective of fostering Shared Decision-Making. By providing General information, Medical information, and Entertainment options, the system fosters effective patient-clinician communication and significantly elevates the standard of care.
Objective: This study aimed to investigate how registered nurses utilized the PIT and prioritized functions based on their perception of importance and satisfaction to find out high-importance but low-satisfaction PIT functions.
Cell Commun Signal
January 2025
Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
One hallmark of cancer is the upregulation and dependency on glucose metabolism to fuel macromolecule biosynthesis and rapid proliferation. Despite significant pre-clinical effort to exploit this pathway, additional mechanistic insights are necessary to prioritize the diversity of metabolic adaptations upon acute loss of glucose metabolism. Here, we investigated a potent small molecule inhibitor to Class I glucose transporters, KL-11743, using glycolytic leukemia cell lines and patient-based model systems.
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