Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Background: The Pediatric Early Warning Score (PEWS) may help healthcare professionals detect clinical deterioration. However, previous studies have documented issues regarding its implementation. Thus, this study aimed to identify nurses' experiences of barriers to and enablers of PEWS usage.
Methods: This explorative qualitative study employed semi-structured interviews with seven nurses from the pediatric emergency departments of two hospitals located in the Central Denmark Region. The Theoretical Domains Framework (TDF) guided the interviews, which aimed to identify PEWS-related barriers and enablers. The data were organized and analyzed using the software NVivo. Moreover, thematic analysis was used to analyze the data.
Findings: Barriers and enablers were identified within the TDF, including the following domains: knowledge, skills, and beliefs about consequences, social influences, motivation, and goals. The nurses reported the need for cooperation between nurses and doctors, a common understanding of the PEWS, and education and bedside training during the process to enhance the participants' knowledge of PEWS, thereby rendering it a meaningful tool. Culture is crucial for understanding healthcare professionals' PEWS usage.
Conclusion: Despite PEWS implementation, nurses still experienced barriers such as a lack of cooperation with other clinicians and of continued education. Understanding the PEWS's significance for the early detection of critical illness may enhance its perceived meaningfulness for clinicians. Further, bedside training and education may improve PEWS-related knowledge and reinforce the individual approach identified herein.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.pedn.2025.07.019 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Older adults' perspectives on physical activity during hospitalization: a qualitative interview study.
BMC Geriatr
September 2025
Department of Neurobiology, Care Sciences and Society, Division of Nursing, Karolinska Institutet, Stockholm, Sweden.
Background: The benefits of physical activity for frail older acutely hospitalized adults are becoming increasingly clear. To enhance opportunities for physical activity on geriatric wards, it is essential to understand the older adult's perspective.
Aim: The aim of the study was to explore the experiences and perceptions of physical activity among older adults during hospital stays on a geriatric ward.
Barriers and Facilitators to Long-Term Adherence in an Ongoing, Supervised, Gym-Based Exercise Program Among Adults With Chronic Conditions in Regional Australia.
J Aging Phys Act
September 2025
Occupational Therapy Department, Monash University, Frankston, VIC, Australia.
Background/objective: Adherence rates to supervised gym-based exercise programs traditionally decline over time, highlighting the need to understand participants' perceptions regarding barriers and facilitators to long-term participation. To explore the experiences of people with one or more chronic conditions participating in an ongoing, supervised, gym-based exercise program in regional Australia.
Method: Semistructured interviews were completed with 40 participants and were analyzed thematically using a descriptive qualitative approach.
Artificial Intelligence in allergy and immunology: recent developments, implementation challenges, and the road towards clinical impact.
J Allergy Clin Immunol
September 2025
University of Groningen, University Medical Center Groningen, Beatrix Children's Hospital, Department of Pediatric Pulmonology and Pediatric Allergology, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC)
Artificial intelligence (AI) is increasingly recognized for its capacity to transform medicine. While publications applying AI in allergy and immunology have increased, clinical implementation substantially lags behind other specialties. By mid-2024, over 1,000 FDA-approved AI-enabled medical devices existed, but none specifically addressed allergy and immunology.
View Article and Find Full Text PDFPeptide-targeted nanoparticles for tumor therapy.
J Control Release
September 2025
Laboratory of Precision and Nanomedicine, Institute of Biomedicine and Translational Medicine, University of Tartu, Ravila 14b, 50411 Tartu, Estonia; Materials Research Laboratory, University of California, Santa Barbara, CA 93106, USA. Electronic address:
Most chemotherapeutics distribute non-specifically throughout the body, resulting in off-target toxicities. Nanoparticle (NP) formulations provide a strategy to improve drug delivery by extending circulation time, protecting therapeutic agents from degradation, and enabling controlled release. However, delivering NPs effectively to solid tumors remains challenging due to the barriers within the tumor microenvironment.
View Article and Find Full Text PDFIntegrating rule-based NLP and large language models for statin information extraction from clinical notes.
Int J Med Inform
September 2025
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address:
Background: Identifying patient-specific barriers to statin therapy, such as intolerance or deferral, from clinical notes is a major challenge for improving cardiovascular care. Automating this process could enable targeted interventions and improve clinical decision support (CDS).
Objective: To develop and evaluate a novel hybrid artificial intelligence (AI) framework for accurately and efficiently extracting information on statin therapy barriers from large volumes of clinical notes.