Background: Medication administration errors (MAEs) cause preventable patient harm and cost billions of dollars from already‐strained healthcare budgets. An emerging factor contributing to these errors is nurse fatigue. Given medication administration is the most frequent clinical task nurses undertake; it is vital to understand how fatigue impacts MAEs.Objective: Examine the evidence on the effect of fatigue on MAEs and near misses by registered nurses working in hospital settings.Method: Arksey and O'Malley's scoping review framework was used to guide this review and PAGER framework for data extraction and analysis. The PRISMA checklist was completed. Four electronic databases were searched: CINAHL, PubMed, Scopus and PsycINFO. Eligibility criteria included primary peer review papers published in English Language with no date/time limiters applied. The search was completed in August 2021 and focussed on articles that included: (a) registered nurses in hospital settings, (b) MAEs, (c) measures of sleep, hours of work, or fatigue.Results: Thirty‐eight studies were included in the review. 82% of the studies identified fatigue to be a contributing factor in MAEs and near misses (NMs). Fatigue is associated with reduced cognitive performance and lack of attention and vigilance. It is associated with poor nursing performance and decreased patient safety. Components of shift work, such as disruption to the circadian rhythm and overtime work, were identified as contributing factors. However, there was marked heterogeneity in strategies for measuring fatigue within the included studies.Relevance to clinical practice: Fatigue is a multidimensional concept that has the capacity to impact nurses' performance when engaged in medication administration. Nurses are susceptible to fatigue due to work characteristics such as nightwork, overtime and the requirement to perform cognitively demanding tasks. The mixed results found within this review indicate that larger scale studies are needed with particular emphasis on the impact of overtime work. Policy around safe working hours need to be re‐evaluated and fatigue management systems put in place to ensure delivery of safe and quality patient care.

Fatigue Risk Management Systems (FRMS) are a data-driven set of management practices for identifying and managing fatigue-related safety risks. This approach also considers sleep and work time, and is based on ongoing risk assessment and monitoring. This narrative review addresses the effectiveness of FRMS, as well as barriers and enablers in the implementation of FRMS. Furthermore, this review draws on the literature to provide evidence-based policy guidance regarding FRMS implementation. Seven databases were drawn on to identify relevant peer-reviewed literature. Relevant grey literature was also reviewed based on the authors’ experience in the area. In total, 2129 records were screened based on the search strategy, with 231 included in the final review. Few studies provide an evidence-base for the effectiveness of FRMS as a whole. However, FRMS components (e.g., bio-mathematical models, self-report measures, performance monitoring) have improved key safety and fatigue metrics. This suggests FRMS as a whole are likely to have positive safety outcomes. Key enablers of successful implementation of FRMS include organisational and worker commitment, workplace culture, and training. While FRMS are likely to be effective, in organisations where safety cultures are insufficiently mature and resources are less available, these systems may be challenging to implement successfully. We propose regulatory bodies consider a hybrid model of FRMS, where organisations could choose to align with tight hours of work (compliance) controls. Alternatively, where organisational flexibility is desired, a risk-based approach to fatigue management could be implemented.

Gig work is a type of contingent work which has increased markedly in recent times, and is characterised by uncertainty, unpredictability, and instability of both schedules and income earned. Gig workers are also likely to work for multiple platforms and/or employers. These work characteristics mean that performing gig work is associated with higher rates of stress than the general population1). However, it is not currently known which strategies gig workers use to cope with this stress – including which strategies are likely to be effective. The aim of this study was to understand the relationship between coping strategies, number of employers and stress in gig workers. An online survey was completed by 49 gig workers. Validated questionnaires were administered to measure coping strategies (Brief COPE) and stress (Perceived Stress Scale-14). Approach coping strategies (active, planning, and social support) were associated with reduced stress (p<0.05), whereas the avoidant coping strategy of self-blame was associated with increased stress (p<0.05). No differences in stress were seen between gig workers with one employer and those with multiple employers. Findings suggest that some coping strategies may lower stress in gig workers, though long-term outcomes should be considered in future research.

Driver fatigue is a contributory factor in approximately 20% of vehicle crashes. While other causal factors (eg, drink-driving) have decreased in recent decades due to increased public education strategies and punitive measures, similar decreases have not been seen in fatigue-related crashes. Fatigued driving could be managed in a similar way to drink-driving, with an established point (ie, amount of prior sleep) after which drivers are “deemed impaired”. This systematic review aimed to provide an evidence-base for the concept of deemed impairment and to identify how much prior sleep may be required to drive safely. Four online databases were searched (PubMed, Web of Science, Scopus, Embase). Eligibility requirements included a) measurement of prior sleep duration and b) driving performance indicators (eg, lane deviation) and/or outcomes (eg, crash likelihood). After screening 1940 unique records, a total of 61 studies were included. Included studies were categorised as having experimental/quasi-experimental (n = 21), naturalistic (n = 3), longitudinal (n = 1), case–control (n = 11), or cross-sectional (n = 25) designs. Findings suggest that after either 6 or 7 hours of prior sleep, a modest level of impairment is generally seen compared with after ≥ 8 hours of prior sleep (ie, well rested), depending on the test used. Crash likelihood appears to be ~30% greater after 6 or 7 hours of prior sleep, as compared to individuals who are well rested. After one night of either 4 or 5 hours of sleep, there are large decrements to driving performance and approximately double the likelihood of a crash when compared with well-rested individuals. When considering the scientific evidence, it appears that there is a notable decrease in driving performance (and associated increase in crash likelihood) when less than 5h prior sleep is obtained. This is a critical first step in establishing community standards regarding the amount of sleep required to drive safely.

Introduction: Today’s adolescents are growing up in a unique sociocultural climate in which gender issues are highly prominent. Alongside new ways of understanding gender identity, there are persistent gender disparities in social, health and mental health outcomes despite increasingly egalitarian views and a significant public focus on sexual assault and gender-based violence. Given gender-differentiated outcomes emerge during adolescence, it is critical to revisit factors influencing adolescent gender development. It has been argued that gendered parenting, reflected in differences in parenting attitudes and behaviors directed towards boys and girls, influences gender development. While numerous studies have examined gendered parenting with children, there has been no previous synthesis of gendered parenting of adolescents. Method: The current narrative review presents an overview of research into gendered parenting of adolescents, including parental modelling, gendered environments, and specific parenting practices, and draws together the available research on how it impacts adolescents. Gendered parenting is also examined in the context of LGBTQI + and gender non-conforming adolescents. Results: There is limited research investigating the presence of gendered parenting of adolescents, and even less assessing its impact on adolescent psychosocial outcomes. The available literature suggests that there may be effects of gendered parenting on adolescents, particularly on their gender role attitudes and gender-typed behaviors. Conclusions: Future work is needed to better understand how gendered parenting of adolescents manifests in the family home. In addition, research is needed to examine the longitudinal impact of gendered parenting, particularly within non-traditional families, and across a range of sociocultural contexts.