Objective: The aims of this study were to design, pilot, and evaluate a care team model of shared accountability on medical-surgical units.
Background: American healthcare systems must optimize professional nursing services and support staff due to economic constraints, evolving Federal regulations and increased nurse capabilities.
Methods: A redesigned model of RN-led teams with shared accountability was piloted on 3 medical/surgical units in sample hospitals for 6 months. Nursing staff were trained for all functions within their scope of practice and provided education and support for implementation.
Results: Clinical outcomes and patient experience scores improved with the exception of falls. Nurse satisfaction demonstrated statistically significant improvement. Cost outcomes resulted in reduced total salary dollars per day, and case mix-adjusted length of stay decreased by 0.38.
Conclusion: Innovative changes in nursing care delivery can maintain clinical quality and nurse and patient satisfaction while decreasing costs.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/NNA.0000000000000088 | DOI Listing |
BMC Med Inform Decis Mak
January 2025
School of Medicine, University of Colorado, Aurora, CO, USA.
Background: In prehospital emergency care, providers face significant challenges in making informed decisions due to factors such as limited cognitive support, high-stress environments, and lack of experience with certain patient conditions. Effective Clinical Decision Support Systems (CDSS) have great potential to alleviate these challenges. However, such systems have not yet been widely adopted in real-world practice and have been found to cause workflow disruptions and usability issues.
View Article and Find Full Text PDFPLoS One
January 2025
School of Finance and Economics, Hainan Vocational University of Science and Technology, Haikou, China.
This study investigates the impact of low-carbon economic policies on Corporate Environmental Responsibility (CER) in Chinese A-share listed companies, with a particular focus on the role of financing constraints as a mediating factor. Despite a decrease in environmental pollution incidents in 2022, the economic and social impacts of such incidents remain significant, highlighting the need for stronger environmental governance. Building upon previous research, this study utilizes data from the Shanghai and Shenzhen stock exchanges (2010-2020) and employs a Difference-in-Differences (DID) model to assess the effects of low-carbon economic policies introduced in 2016 on CER.
View Article and Find Full Text PDFJ Patient Exp
January 2025
Department of Administrative Sciences, University of Lapland, Rovaniemi, Finland.
Co-production is expected to lead to more efficient and effective services. In response, this study aims to describe and understand the construction of effectiveness and the manifestation of customer orientation among the actors involved in the service process of lifestyle guidance. A qualitative narrative study was designed, and data were collected through the thematic interviews (n = 9) with the management, employees and customers of a Finnish public healthcare and social welfare organisation.
View Article and Find Full Text PDFJ Med Educ Curric Dev
January 2025
Department of Health Policy and Management, Columbia University Mailman School of Public Health, New York, NY, USA.
Objectives: Instilling the principles of ethical and responsible medical research is critical for educating the next generation of clinical researchers. We developed a responsible conduct of research (RCR) workshop and associated curriculum for undergraduate trainees in a quantitative clinical research program.
Methods: Topics in this 7-module RCR workshop are relevant to undergraduate trainees in quantitative fields, many of whom are learning about these concepts for the first time.
Psychiatry Res
January 2025
SA Health, Northern Adelaide Local Health Network, Northern Community Mental Health, Salisbury, Australia; Sonder, Headspace Adelaide Early Psychosis, Adelaide, Australia; The University of Adelaide, Adelaide Medical School, Discipline of Psychiatry, Adelaide, Australia.
Community-based high intensity services for people living with severe and enduring mental illnesses face critical workforce shortages and workflow efficiency challenges. The expectation to monitor complex, dynamic patient data from ever-expanding electronic health records leads to information overload, a significant factor contributing to worker burnout and attrition. An algorithmic workforce, defined as a suite of algorithm-driven processes, can work alongside health professionals assisting with oversight tasks and augmenting human expertise.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!