A global nursing shortage necessitates innovative care models to mitigate burnout, turnover, and supply-demand mismatches. This mixed-methods pilot study assessed the impact of a technology-integrated nursing care model on workload and patient outcomes in a surgical-orthopedic unit. Following IRB approval and training, the integrated care model was piloted for 6 months. The model included integration of virtual nurses, LPNs, and delivery robots. Workload perception, quality and safety, and nurse satisfaction were monitored using a time-series design. Data analysis employed correlated t-tests, comparison of means over time, and statistical process control charts (Shewhart charts). The integrated care model yielded mixed results. Hospital Acquired Conditions remained stable, while average length of stay and falls decreased. The robots have made 615 deliveries and saved staff 377 640 stjpg and 415.8 hours. After an initial low utilization, virtual nurses completed 82% admissions and discharges by the end of the pilot. However, RNs reported increased workload, staffing concerns, and teamwork challenges. This integrated care model shows promise, but further research is needed to fully assess its impact. The findings underscore the importance of continued exploration and refinement of novel approaches to address the challenges facing the nursing profession.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/NAQ.0000000000000674 | DOI Listing |
AIDS Care
March 2025
Faculdade de Medicina, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil.
In Brazil, pre-exposure prophylaxis (PrEP) is freely available to individuals at high risk of HIV infection. However, knowledge and perception of PrEP can act as barriers to its access and use. This study evaluated PrEP knowledge and perception among healthcare workers in the Unified Health System in a Brazilian capital.
View Article and Find Full Text PDFAIDS Care
March 2025
Center for Behavioral and Addiction Medicine, Department of Family Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Methamphetamine use among sexual minority men (SMM) has been associated with poor ART adherence, and reduced initiation and adherence to PrEP. From May 2021 to May 2023, 226 SMM were enrolled in , a culturally responsive smartphone application to reduce methamphetamine use and improve sexual health. Using a status-neutral approach, an ordinal variable reflected participants' placement on the HIV Prevention/Care Continuum, from HIV-positive, not taking ART, to HIV-negative, currently taking PrEP.
View Article and Find Full Text PDFJMIR Med Inform
March 2025
LynxCare Inc, Leuven, Belgium.
Background: Processing data from electronic health records (EHRs) to build research-grade databases is a lengthy and expensive process. Modern arthroplasty practice commonly uses multiple sites of care, including clinics and ambulatory care centers. However, most private data systems prevent obtaining usable insights for clinical practice.
View Article and Find Full Text PDFJMIR Med Inform
March 2025
Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo, Chiba, 260-8677, Japan, 81 432262372.
This study demonstrated that while GPT-4 Turbo had superior specificity when compared to GPT-3.5 Turbo (0.98 vs 0.
View Article and Find Full Text PDFJ Med Internet Res
March 2025
Department of Pharmacology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Background: Acceptance and commitment therapy provides a psychobehavioral framework feasible for digital and hybrid weight loss interventions. In face-to-face studies, group-based interventions yield more favorable outcomes than individual interventions, but the effect of the intervention form has not been studied in combination with eHealth.
Objective: This study investigated whether a minimal, 3-session group or individual enhancement could provide additional benefits compared to an eHealth-only intervention when assessing weight, body composition, and laboratory metrics in a sample of occupational health patients with obesity.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!