Professional associations, nurse scholars, and practicing nurses suggest that intraprofessional collaboration between nurses is essential for the provision of quality patient care. However, there is a paucity of evidence describing collaboration among nurses, including the outcomes of collaboration to support these claims. The aim of this scoping review was to examine nursing practice guidelines that inform the registered nurse (RN) and registered/licensed practical nurse (R/LPN) collaborative practice in acute care, summarize and disseminate the findings, and identify gaps in the literature. Ten practice guidelines, all published in Canada, were included in the final scoping review. The findings indicate that many of the guidelines were not evidence informed, which was a major gap. Although the guidelines discussed the structures needed to support intraprofessional collaboration, and most of the guidelines mention that quality patient care is the desired outcome of intraprofessional collaboration, outcome indicators for measuring successful collaborative practice were missing in many of the guidelines. Conflict resolution is an important process component of collaborative practice; yet, it was only mentioned in a few of the guidelines. Future guidelines should be evidence informed and provide outcome indicators in order to measure if the collaborative practice is occurring in the practice setting.
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http://dx.doi.org/10.1155/2020/5057084 | DOI Listing |
J Med Internet Res
January 2025
Vibrent Health, Inc, Fairfax, VA, United States.
Background: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.
Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU).
J Bras Pneumol
January 2025
. EPIUnit ITR, Instituto de Saúde Pública da Universidade do Porto, Universidade do Porto, Porto, Portugal.
Objective: To evaluate the perspectives of tuberculosis experts from different countries regarding national screening procedures.
Methods: This was a qualitative descriptive study. Data were collected by using electronic, anonymized surveys with experts in tuberculosis in seven different countries within two World Health Organization regions (Europe and Africa).
Rev Col Bras Cir
January 2025
- Escola Bahiana de Medicina e Saúde Pública, Clínica Médica - Salvador - BA - Brasil.
This paper discusses the increasing trend of direct-care physicians taking on teaching roles in community hospitals, both in the United States and Brazil. It highlights the challenges faced by these physicians, who often lack formal pedagogical training and dedicated time for teaching. The text emphasizes the need for structured support, faculty development programs, and collaboration with academic centers to ensure the quality of education in these settings.
View Article and Find Full Text PDFPLoS One
January 2025
School of Electronic Information Engineering, Inner Mongolia University, Hohhot, Inner Mongolia, China.
Cognitive Radio (CR) technology enables wireless devices to learn about their surrounding spectrum environment through sensing capabilities, thereby facilitating efficient spectrum utilization without interfering with the normal operation of licensed users. This study aims to enhance spectrum sensing in multi-user cooperative cognitive radio systems by leveraging a hybrid model that combines Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. A novel multi-user cooperative spectrum sensing model is developed, utilizing CNN's local feature extraction capability and LSTM's advantage in handling sequential data to optimize sensing accuracy and efficiency.
View Article and Find Full Text PDFGenetics
January 2025
EMBL-EBI - Non-Vertebrate Genomics Team, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK.
The rapid increase in the number of reference-quality genome assemblies presents significant new opportunities for genomic research. However, the absence of standardized naming conventions for genome assemblies and annotations across datasets creates substantial challenges. Inconsistent naming hinders the identification of correct assemblies, complicates the integration of bioinformatics pipelines, and makes it difficult to link assemblies across multiple resources.
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