Introduction: Nurses are assigned a key role in pandemic response, with work engagement considered to be pivotal. The job demands-resources theory assumes that work engagement depends on job resources and job demands. Key job resources and demands have already been proposed for nurses. However, there is no evidence on their importance under pandemic conditions. Hence, the aim of this study was to investigate their relevance to nurses' work engagement during the second wave of the COVID-19 pandemic.
Methods: The study was carried out in a cross-sectional design and addressed nurses in direct health care settings in Germany. Data was collected administering a quantitative online survey using valid and reliable measures during the second wave of the pandemic. A convenience sample was obtained, including the use of social media, randomly selected health care facilities, and all universities with nursing-related programs in Germany. The dataset for analyses comprised a total of 1,027 cases. The sample included nurses of various educational levels and from different sectors. Multiple linear regression analysis after multiple imputation was used to examine the relevance of key resources and demands for work engagement.
Results: Key resources and demands explained 36% of the variance in nurses' work engagement during the COVID-19 pandemic. Positive associations were found between the key resources of autonomy (β¯=0.072, 95% CI [0.011; 0.133]), professional resources (β¯=0.204, 95% CI [0.124; 0.285]), and interpersonal relationships (β¯=0.178, 95% CI [0.117; 0.240]) and nurses' work engagement. On the demands side, lack of formal rewards negatively (β¯=-0.312, 95% CI [-0.380; -0.245]) affected work engagement, whereas work overload (β¯=0.063, 95% CI [0.001; 0.126]) was positively associated with work engagement.
Discussion: The job demands-resources theory is suitable for explaining nurses' work engagement even in times of crisis. Taken together, key resources and demands have a significant influence on nurses' work engagement under pandemic conditions. However, not all so-called key resources and demands actually have a key status in a pandemic.
Conclusion: Any lack of formal rewards should be countered, professional resources should be sustainably secured, and the autonomy of nurses and their interpersonal relationships should be strengthened. Nursing management decisions should be made not only with the current pandemic but also the post-pandemic period in mind.
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http://dx.doi.org/10.1016/j.zefq.2021.09.008 | DOI Listing |
Int J Comput Assist Radiol Surg
January 2025
Faculty of Computer Science and Research Campus STIMULATE, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany.
Purpose: Structured abdominal examination is an essential part of the medical curriculum and surgical training, requiring a blend of theory and practice from trainees. Current training methods, however, often do not provide adequate engagement, fail to address individual learning needs or do not cover rare diseases.
Methods: In this work, an application for structured Abdominal Examination Training using Augmented Reality (AETAR) is presented.
BMC Geriatr
January 2025
Community Medicine and Rehabilitation, Physiotherapy, Umeå University, Umeå, Sweden.
Background: Physical activity and exercise are promoted worldwide as effective interventions for healthy ageing. Various exercise initiatives have been developed and evaluated for their efficacy and effectiveness among older populations. However, a deeper understanding of participants' experiences with these initiatives is crucial to foster long-term activity and exercise among older persons.
View Article and Find Full Text PDFMidwifery
December 2024
Health Systems and Equity, Eastern Health Clinical School, Monash University, Australia. Electronic address:
Problem/ Background: The acceptability of providing women with personalised cardiometabolic risk information using risk prediction tools early in pregnancy is not well understood.
Aim: To explore women's and healthcare professionals' perspectives of the acceptability of a prognostic, composite risk prediction tool for cardiometabolic risk (gestational diabetes and/or hypertensive disorders of pregnancy) for use in early pregnancy.
Methods: Semi-structured interviews were conducted to explore the acceptability of cardiometabolic risk prediction tools, preferences for risk communication and considerations for implementation into antenatal care.
Acta Psychol (Amst)
January 2025
Department of English Language, College of Arts, King Faisal University, Al Ahsa, Saudi Arabia.
This study investigates the combined impact of artificial intelligence (AI) tools and Uncertain Motivation (UM) strategies on the argumentative writing performance of Saudi EFL learners, using the Toulmin Model. Sixty Saudi EFL students participated in four writing tasks, with results demonstrating significant improvements in essay quality, particularly in clarity, structure, and depth. AI tools provided real-time feedback, enhancing students' ability to refine claims, data, backing, and counterarguments.
View Article and Find Full Text PDFSci Total Environ
January 2025
School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India; Department of Mining Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India.
Coastal ecosystems are increasingly threatened by the accumulation of marine litter globally. Limited data availability along India's eastern coast hinders targeted mitigation efforts. This study assesses coastal litter along Visakhapatnam, a smart city on India's eastern coast, using the NOAA shoreline debris protocol.
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