Globally, the impact of COVID‐19 on healthcare workers' mental health has been a major focus of recent research. However, Australian research involving nurses, particularly across the acute care sector, is limited. This cross‐sectional research aimed to explore the impact of pandemic‐related stress on psychological adjustment outcomes and potential protective factors for nurses ( n = 767) working in the Australian acute care sector during the COVID‐19 pandemic. Nurses completed an online questionnaire with psychometrically validated measures of pandemic‐related stress, psychological adjustment outcomes (depression, anxiety, and subjective well‐being), and protective factors (posttraumatic growth and self‐compassion). Descriptive analyses revealed that pandemic‐related stress was reported by 17.7% of the participants. Psychological adjustment outcome scores above normal for depression (27.5%) and anxiety (22.0%) were found, and 36.4% of the participants reported poor subjective well‐being. Regression analyses suggest that pandemic‐related stress predicted greater depression ( B = 0.32, SE = 0.02, 95% confidence interval [0.28, 0.35]) and anxiety ( B = 0.26, SE = 0.01, 95% confidence interval [0.24, 0.29]) and less subjective well‐being ( B = −0.14, SE = 0.01, 95% confidence interval [−0.16, −0.12]). Self‐compassion weakened the relationship between pandemic‐related stress and greater depression, however, exacerbated the relationship between pandemic‐related stress and less subjective well‐being. Posttraumatic growth reduced the negative relationship between pandemic‐related stress and psychological adjustment outcomes. These findings will inform strategies to facilitate psychological resources that support nurses' psychological adjustment, enabling better pandemic preparedness at both an individual and organizational level.

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Aim This pilot study aimed to explore the impact of Smart Home technology to support older people’s quality of life, particularly for those who live alone. Background There has been an increased interest in using innovative technologies and artificial intelligence to enable Smart Home technology to support older people to age independently in their own homes. Methods This study used a pre‐and post‐test design. The seven item Personal Wellbeing Index was used to measure participants’ subjective quality of life across seven quality of life domains. Participants (n = 60) aged between 68 and 90 years (M = 80.10, SD = 5.56) completed a 12‐week personalised Smart Home technology program. Results Approximately half of the participants lived alone (48.3%). Participants’ quality of life significantly increased (p = 0.010) after Smart Home use. Two domains, “achieving in life” (p = 0.026) and “future security” (p = 0.004), were also significantly improved after participating in the Smart Home technology program. Improvements in quality of life did not vary as a function of living arrangement (all ps > .152, all ηp2 > .00). Conclusion The current study provides preliminary evidence for the role of Smart Home technology in supporting older people’s quality of life, particularly their sense of achieving in life and future security.

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Worldwide, emergency departments in regional and remote areas have a higher per capita mental health presentation rate than their metropolitan counterparts. Evidence suggests that mental health presentations to metropolitan or city emergency departments are exposed to longer waiting times, extended length of stays, and higher rates of access block than non‐mental health presentations. However, there is little research investigating the experiences for mental health and non‐mental health presentations in the emergency department in regional and remote areas. The aim of the current study was to explore wait time and length of stay for mental and non‐mental health patients at a regional emergency department. Audit data from 38,782 presentations to a regional emergency department in NSW over a 12‐month period in 2019 were reviewed. The STROBE cross‐sectional research checklist was adhered to for reporting of results. Time to be seen, length of stay, and access block (length of stay longer than 8 hours) were described and compared for mental and non‐mental health patients. It was found that mental health patients in this study disproportionately experience longer wait times and length of stay in a regional emergency department. Future research is needed to identify whether this issue is present across other Australian regional emergency departments and review funding models to address the discrepancy. These findings make a unique contribution to the literature as previous research focussed on metropolitan emergency departments and only identified time to be seen and length of stay, largely ignoring differences in access block between mental health and non‐mental health patients.

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Review question / Objective: The current review aims to describe the literature on the relationship between local sleep and attentional lapses in neurotypical children or children with ADHD and how this can be applied to inform our understanding of poor attention under conditions of low arousal and increased sleep pressure. The main/primary question is, what is known from the existing literature about the relationship between local sleep and attentional lapses in children? In answering this primary question, we also want to know under what conditions is local sleep occurring? For example, does local sleep occur more frequently with increased fatigue? Eligibility criteria: All papers identified must meet the following criteria for inclusion: the population is neurotypical children and children with ADHD aged between 6 and 12 years of age, published in English, full text available (where full-text is not available, authors will be contacted to request a copy of the paper). All time frames, types of sources (e.g. qualitative or quantitative research studies), geographic locations, cultural and sociodemographic contexts will be included. Review papers (i.e. systematic reviews, meta-analyses), papers with animal studies and clinical cohorts other than ADHD (e.g. autism, sleep disorders, acquired brain injuries etc.) will be excluded. As local sleep is defined as occurring during wakefulness, studies with participants who are asleep will also be excluded.

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