The COVID-19 pandemic is now endemic and has taken a terrible toll on the health workforce and its leaders. Stress and burnout are rampant, and health workers are leaving in record numbers. Using data collected during the first four waves of the pandemic, and a longitudinal analysis of these data, the authors identify ongoing challenges to health leadership related to building resilience and psychologically healthy workplaces. The article is organized around three questions: What happened during Waves 1 to 4? What did we learn? And what should be done differently? Eight actions emerged around the theme of "leaders supporting leaders": build personal resilience; practice compassionate leadership; model effective interpersonal leadership behaviour; ensure frequent and authentic communication; participate in networks and communities of practice; balance short- and long-term commitments; apply systems thinking; and contribute to a collaborative, national strategy.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127620 | PMC |
| http://dx.doi.org/10.1177/08404704221090126 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Pointed-snout wrasse builds nest on Sarcotragus foetidus sponges.
Ecology
January 2025
Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy.
Background: Critical care nurses are vulnerable to depression, which not only lead to poor well-being and increased turnover intention, but also affect their working performances and organizational productivity as well. Work related factors are important drivers of depressive symptoms. However, the non-liner and multi-directional relationships between job demands-resources and depressive symptoms in critical care nurses has not been adequately analyzed.
View Article and Find Full Text PDFTuning multi-scale pore structures in carbonaceous films via direct ink writing and sacrificial templates for efficient indoor formaldehyde removal.
J Hazard Mater
January 2025
Key Laboratory of Coastal Urban Resilient Infrastructures (Ministry of Education), College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China; Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Department of Building Science, Tsinghua University, Beijing 100084, China; State Key Laboratory of Intelligent Geotechnics and Tunnelling, Shenzhen University, Shenzhen 518060, China; State Key Laboratory of Subtropical Building and Urban Science, Shenzhen 518060, China; Key Laboratory of Eco Planning & Green Building (Tsinghua University), Ministry of Education, Beijing 100084, China. Electronic address:
The primary challenges impeding the extensive application of adsorption for indoor air purification have been low efficiency and effective capacity. To fill the research gap, we developed carbonaceous net-like adsorption films featuring multi-scale porous structures for efficient indoor formaldehyde removal. By optimizing the interfacial mass transfer and internal diffusion, we designed macro- to mesoscale meshes on the film surface and micro- to nano-scale pores within the materials, which were achieved by direct-ink-writing (DIW) printing and sacrificial template methods, respectively.
View Article and Find Full Text PDFHow do staff work in NHS hospital operations management meetings to support resilience in everyday service delivery? A qualitative study.
BMC Health Serv Res
January 2025
SAPPHIRE Group, Population Health Sciences, Leicester University, Leicester, UK.
Background: Operations Management meetings in NHS hospitals provide an opportunity for operational and clinical staff to monitor demand and capacity and manage patient flow. These meetings play an important role in the achievement of resilient performance over time. However, little is known about the work that takes place within these meetings in the United Kingdom's National Health Service.
View Article and Find Full Text PDFAccelerated enzyme engineering by machine-learning guided cell-free expression.
Nat Commun
January 2025
Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA.
Enzyme engineering is limited by the challenge of rapidly generating and using large datasets of sequence-function relationships for predictive design. To address this challenge, we develop a machine learning (ML)-guided platform that integrates cell-free DNA assembly, cell-free gene expression, and functional assays to rapidly map fitness landscapes across protein sequence space and optimize enzymes for multiple, distinct chemical reactions. We apply this platform to engineer amide synthetases by evaluating substrate preference for 1217 enzyme variants in 10,953 unique reactions.
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!