The aim of the present study was to see how widespread preventative use of the probiotic via automatic protocol in hospitalised patients receiving antibacterials affected rates of hospital-associated () infection (HA-CDI). Rates of HA-CDI appeared to be similar between the pre-protocol and protocol periods. Use of CDI treatment antibiotics (oral metronidazole and oral vancomycin) was also similar. Laboratory-confirmed isolation of from sterile body sites was identified in five patients during the protocol versus only one case in the pre-protocol years.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754807 | PMC |
| http://dx.doi.org/10.1177/1757177419892309 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Impact of Feeding Frequency on Growth Performance and Antioxidant Capacity of in Recirculating Aquaculture Systems.
Animals (Basel)
January 2025
College of Bio-Systems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
Feeding frequency is crucial for the growth and development of white shrimp () at various life stages. Although higher feeding frequencies can enhance growth, manual feeding methods significantly increase labor costs. Automatic feeding systems offer a cost-effective and efficient alternative, yet their application in intensive shrimp culture remains under-researched.
View Article and Find Full Text PDFSurgical Scheduling Errors During Manual Data Transfer.
Qual Manag Health Care
January 2025
Author Affiliations: Source Healthcare, Santa Monica, California.
Background And Objectives: Retrospective studies examining errors within a surgical scheduling setting do not fully represent the effects of human error involved in transcribing critical patient health information (PHI). These errors can negatively impact patient care and reduce workplace efficiency due to insurance claim denials and potential sentinel events. Previous reports underscore the burden physicians face with prior authorizations which may lead to serious adverse events or the abandonment of treatment due to these delays.
View Article and Find Full Text PDFRadar versus optical: The impact of cloud cover when mapping seasonal surface water for health applications in monsoon-affected India.
PLoS One
January 2025
UK Centre for Ecology and Hydrology, Crowmarsh Gifford, Wallingford, United Kingdom.
Surface water plays a vital role in the spread of infectious diseases. Information on the spatial and temporal dynamics of surface water availability is thus critical to understanding, monitoring and forecasting disease outbreaks. Before the launch of Sentinel-1 Synthetic Aperture Radar (SAR) missions, surface water availability has been captured at various spatial scales through approaches based on optical remote sensing data.
View Article and Find Full Text PDFFactors Associated with Adherence to Diabetic Retinopathy Screening Among Patients Attending a Nurse-Led Community Clinic in Australia: A Qualitative Study.
Nurs Rep
January 2025
The Australian e-Health Research Centre, CSIRO, Floreat 6014, Australia.
Despite the availability of screening services, the rate of diabetic retinopathy (DR) screening continues to be suboptimal in Australia, necessitating improvement. However, improving DR screening rates requires a more comprehensive understanding of the factors influencing adherence to the screening recommendations. This study aimed to explore the factors that influence adherence to DR screening among people with diabetes attending a community screening clinic in Australia.
View Article and Find Full Text PDFPlant Detection in RGB Images from Unmanned Aerial Vehicles Using Segmentation by Deep Learning and an Impact of Model Accuracy on Downstream Analysis.
J Imaging
January 2025
Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Crop field monitoring using unmanned aerial vehicles (UAVs) is one of the most important technologies for plant growth control in modern precision agriculture. One of the important and widely used tasks in field monitoring is plant stand counting. The accurate identification of plants in field images provides estimates of plant number per unit area, detects missing seedlings, and predicts crop yield.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!