Health professionals require support and recognition to help manage the well-known impact of critical or sentinel events relating to patient care. The potential distress can be magnified or mitigated by the response of the organization and colleagues. However, strategies that are accessible, relevant, and effective in the aftermath of a poor outcome are not well established. Using an action research methodology, a support tool was collaboratively designed, developed, and evaluated in a maternity service of one organization and adapted to the mental health and addiction service in another. Four principles that are intrinsic to the establishment of support tools became apparent across the two settings. Through applying these criteria to the customization of the support tool, it became relevant within the new service setting, and an implementation guide for other organizations was created. Although undertaken pre-pandemic, insights derived from this study may benefit post-pandemic situations where the need for health professional support is even greater.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/10497323221111644 | DOI Listing |
Environ Sci Technol
January 2025
School of Marine Sciences, Zhuhai Key Laboratory of Marine Bioresources and Environment, Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Sun Yat-Sen University, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China.
Increasing evidence suggests that organohalogen contaminants (OHCs) could disrupt lipid metabolism in organisms, prompting consideration of fatty acids (FAs) as biological tools for assessing chemical stress in biological systems. This study examined 87 OHCs and 32 FAs in two sentinel cetacean species─Indo-Pacific humpback dolphins ( = 128) and Indo-Pacific finless porpoises ( = 26)─from the northern South China Sea (NSCS), a global hotspot for OHCs. Our results revealed higher OHC levels in these cetaceans than global averages.
View Article and Find Full Text PDFGlob Health Epidemiol Genom
January 2025
Center for Comparative Epidemiology, College of Veterinary Medicine, Michigan State University, 736 Wilson Road, Room A109, East Lansing, Michigan 48824, USA.
Cockroaches could play a role in the transmission dynamics of antimicrobial-resistant bacteria (ARB) at variable interfaces in Ugandan communities, acting as both reservoirs and vectors. This study investigated the burden and diversity of ARB carried by cockroaches in human settlements in Uganda, so as to understand their role in the spread of these pathogens and their potential as sentinels in antimicrobial resistance (AMR) surveillance programs. A retrospective analysis was conducted on two unpublished studies by Makerere University students.
View Article and Find Full Text PDFMar Pollut Bull
January 2025
JK Laxmipat University, Jaipur, Rajasthan, India.
Marine pollution due to oil spills presents major risks to coastal areas and aquatic life, leading to serious environmental health concerns. Oil Spill detection using SAR data has transitioned from traditional segmentation to a variety of machine learning & deep learning models like UNET proving its efficiency for the task. This research paper proposes a GSCAT-UNET model for efficient oil spill detection and discrimination from lookalikes.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Oceanography and Spatial Information, China University of Petroleum East China-Qingdao Campus, Qingdao 266580, China.
Salt marsh vegetation in the Yellow River Delta, including (), (), and (), is essential for the stability of wetland ecosystems. In recent years, salt marsh vegetation has experienced severe degradation, which is primarily due to invasive species and human activities. Therefore, the accurate monitoring of the spatial distribution of these vegetation types is critical for the ecological protection and restoration of the Yellow River Delta.
View Article and Find Full Text PDFSensors (Basel)
January 2025
National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources, College of Resources and Environment, Shandong Agricultural University, Tai'an 271018, China.
Agricultural land classification plays a pivotal role in food security and ecological sustainability, yet achieving accurate large-scale mapping remains challenging. This study presents methodological innovations through a multi-level feature enhancement framework that transcends traditional time series analysis. Using Shandong Province, northern China's agricultural heartland, as a case study, we first established a foundation with time series red-edge vegetation indices (REVI) from Sentinel-2 imagery, uniquely combining the normalized difference red edge index (NDRE) and plant senescence reflectance index (PSRI).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!