Background: Fatigue resulting from shift work and extended hours can compromise patient care and the safety and health of nurses, as well as increasing nursing turnover and health care costs.
Objectives: This research aimed to identify aspects of nurses' work patterns associated with increased risk of reporting fatigue-related outcomes.
Design: A national survey of work patterns and fatigue-related outcomes in 6 practice areas expected to have high fatigue risk (child health including neonatology, cardiac care/intensive care, emergency and trauma, in-patient mental health, medical, and surgical nursing).
Methods: The 5-page online questionnaire included questions addressing: demographics, usual work patterns, work in the previous two weeks, choice about shifts, and four fatigue-related outcomes - having a sleep problem for at least 6 months, sleepiness (Epworth Sleepiness Scale), recalling a fatigue-related error in clinical practice in the last 6 months, and feeling close to falling asleep at the wheel in the last 12 months. The target population was all registered and enrolled nurses employed to work in public hospitals at least 30 h/week in one of the 6 practice areas. Participation was voluntary and anonymous.
Results: Respondents (n = 3133) were 89.8% women and 8% Māori (indigenous New Zealanders), median age 40 years, range 21-71 years (response rate 42.6%). Nurses were more likely than New Zealand adults in general to report chronic sleep problems (37.73% vs 25.09%, p < 0.0001) and excessive sleepiness (33.75% vs 14.9%, p < 0.0001). Fatigue-related error(s) in the last 6 months were recalled by 30.80% and 64.50% reported having felt sleepy at the wheel in the last 12 months. Logistic regression analyses indicated that fatigue-related outcomes were most consistently associated with shift timing and sleep. Risk increased with more night shifts and decreased with more nights with sleep between 11 p.m. and 7 a.m. and on which nurses had enough sleep to feel fully rested. Risk also increased with roster changes and more shift extensions greater than 30 min and decreased with more choice about shifts. Comparisons between intensive care/cardiac care and in-patient mental health nursing highlight that fatigue has different causes and consequences in different practice areas.
Conclusions: Findings confirm the need for a more comprehensive and adaptable approach to managing fatigue. We advocate an approach that integrates safety management and scientific principles with nursing and management expertise. It should be data-driven, risk-focused, adaptable, and resilient in the face of changes in the services required, the resources available, and the overall goals of the healthcare system.
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http://dx.doi.org/10.1016/j.ijnurstu.2019.06.011 | DOI Listing |
Anal Methods
January 2025
Department of Chemistry, Birla Institute of Technology and Science Pilani, Hyderabad 500078, India.
In this work, we have explored the metal ion sensing properties of two bisbenzimidazole-based fluorescent probes, that differ in their conformational flexibility, in an aqueous medium. The compound with a flexible methyl spacer (1) experienced blue shifts in its absorption and emission maxima (along with a turn-off response) upon the addition of Hg ions. On the contrary, the compound with a relatively rigid structure (2) showed red shifts in both its absorption and emission maxima (along with a turn-off response) when treated with Hg under similar conditions.
View Article and Find Full Text PDFACS Biomater Sci Eng
January 2025
Mechanical Engineering Department, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States.
Mechanical properties of engineered connective tissues are critical for their success, yet modern sensors that measure physical qualities of tissues for quality control are invasive and destructive. The goal of this work was to develop a noncontact, nondestructive method to measure mechanical attributes of engineered skin substitutes during production without disturbing the sterile culture packaging. We optimized a digital holographic vibrometry (DHV) system to measure the mechanical behavior of Apligraf living cellular skin substitute through the clear packaging in multiple conditions: resting on solid agar as when the tissue is shipped, on liquid media in which it is grown, and freely suspended in air as occurs when the media is removed for feeding.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Psychiatry, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
Importance: Mental health issues among young people are increasingly concerning. Conventional psychological interventions face challenges, including limited staffing, time commitment, and low completion rates.
Objective: To evaluate the effect of a low-intensity online intervention on young people in Hong Kong experiencing moderate or greater mental distress.
Curr HIV/AIDS Rep
January 2025
Columbia University Irving Medical School, New York, NY, USA.
Purpose: This narrative review addresses post-2020, specific, complex challenges for use of and adherence to pre-exposure prophylaxis (PrEP) for HIV prevention among out-of-treatment people who use drugs (PWUD) at syringe services programs (SSPs).
Recent Findings: The COVID-19 pandemic and its associated changes to the provision of healthcare have significantly impacted HIV prevention, especially for PWUD. Through a synthesis of literature and clinical experience, we (1) characterize the operational changes imposed by the pandemic on SSPs that shaped the current HIV prevention landscape; (2) describe three levels of current challenges for PWUD, including consumer attitudes, non-medical and medical provider attitudes, and structural and scalability barriers; (3) characterize current models for PrEP in SSPs; and (4) offer practical recommendations for HIV prevention in harm reduction programs.
Eur Radiol Exp
January 2025
Computational Clinical Imaging Group (CCIG), Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal.
Good practices in artificial intelligence (AI) model validation are key for achieving trustworthy AI. Within the cancer imaging domain, attracting the attention of clinical and technical AI enthusiasts, this work discusses current gaps in AI validation strategies, examining existing practices that are common or variable across technical groups (TGs) and clinical groups (CGs). The work is based on a set of structured questions encompassing several AI validation topics, addressed to professionals working in AI for medical imaging.
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