Background: Knowledge capital is becoming more important to healthcare establishments, especially for hospitals that are facing changing societal and industrial patterns. Hospital staff must engage in a process of continual learning to improve their healthcare skills and provide a superior service to their patients. Internal marketing helps hospital administrators to improve the quality of service provided by nursing staff to their patients and allows hospitals to build a learning culture and enhance the organizational commitment of its nursing staff. Our empirical study provides nursing managers with a tool to allow them to initiate a change in the attitudes of nurses towards work, by constructing a new 'learning organization' and using effective internal marketing.
Methods: A cross-sectional design was employed. Two hundred questionnaires were distributed to nurses working in either a medical centre or a regional hospital in Taichung City, Taiwan, and 114 valid questionnaires were returned (response rate: 57%). The entire process of distribution and returns was completed between 1 October and 31 October 2009. Hypothesis testing was conducted using structural equation modelling.
Results: A significant positive correlation was found between the existence of a 'learning organization', internal marketing, and organizational commitment. Internal marketing was a mediator between creating a learning organization and organizational commitment.
Conclusion: Nursing managers may be able to apply the creation of a learning organization to strategies that can strengthen employee organizational commitment. Further, when promoting the creation of a learning organization, managers can coordinate their internal marketing practices to enhance the organizational commitment of nurses.
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http://dx.doi.org/10.1186/1472-6963-14-152 | DOI Listing |
PLoS One
January 2025
Phantomics, Inc., Seoul, South Korea.
Aims: T1 mapping on cardiac magnetic resonance (CMR) imaging is useful for diagnosis and prognostication in patients with light-chain cardiac amyloidosis (AL-CA). We conducted this study to evaluate the performance of T1 mapping parameters, derived from artificial intelligence (AI)-automated segmentation, for detection of cardiac amyloidosis (CA) in patients with left ventricular hypertrophy (LVH) and their prognostic values in patients with AL-CA.
Methods And Results: A total of 300 consecutive patients who underwent CMR for differential diagnosis of LVH were analyzed.
J Patient Exp
January 2025
Department of Biology, University of North Carolina Pembroke, Pembroke, NC, USA.
Dysautonomia refers to any disorder involving altered function of the autonomic nervous system. Dysautonomia can be debilitating as it often affects multiple organ systems. The diagnostic journey for individuals affected by dysautonomia can be hindered by symptom overlap with other conditions and by limited access to autonomic specialists.
View Article and Find Full Text PDFJ Community Hosp Intern Med Perspect
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Department of Internal Medicine, Division of Nephrology, Nassau University Medical Center, East Meadow, NY, USA.
Background: Impaired consciousness is associated with complications and mortality in COVID-19 patients. We study factors associated with impaired consciousness as measured by the Glasgow Coma Scale (GCS) in COVID-19 patients.
Methods: This is a retrospective study of 604 patients with COVID-19 in the metropolitan New York City area.
Eur J Transl Myol
January 2025
CinnaGen Medical Biotechnology Research Center, Alborz University of Medical Sciences, Karaj.
Background: Transplant recipients are given an immunosuppressive regimen such as tacrolimus to prevent organ rejection. Suprotac® is a generic tacrolimus that is utilized in kidney transplantation regimen in Iran. This post-market study was conducted to evaluate the safety and efficacy of Suprotac® in comparison with Prograf®.
View Article and Find Full Text PDFSci Rep
January 2025
College of Management and Economics, Tianjin University, Nankai District, Tianjin, 300072, China.
Accurate carbon accounting is essential for power generation enterprises to participate in carbon markets and implement carbon reduction strategies. However, due to excessive reliance on detailed energy data and manual calculations, carbon emission accounting in power generation enterprises suffers from low frequency, significant lag, and poor reliability. Some evidences suggest a strong correlation between internal carbon emissions and electricity consumption in power generation enterprises.
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