Madeline Sprajcer

Issue Addressed: Fatigue‐related driving guidance typically assumes that individuals have sufficient control over sleep and travel decisions to implement recommended strategies. Early parenthood represents a critical exception, characterised by chronic sleep disruption and constrained capacity to avoid driving while fatigued. Despite this, there are limited practical resources available to support safer decision‐making in this population. Methods: Using a participatory design approach grounded in co‐design principles and aligned with the Double Diamond framework, 14 parents of children aged ≤ 5 years completed a workshop and a subsequent survey. This process aimed to inform the co‐design of educational resources for new parents by examining experiences of fatigue and fatigued driving, the feasibility of common fatigue management strategies, and preferences for content, format, and delivery of driving safety resources. Results: Parents shaped the key content areas, emphasising recognising fatigue, making safer driving decisions when tired, and identifying proactive strategies to reduce fatigue risk that were feasible within the constraints of early parenthood. Participants highlighted the importance of creating brief, easy‐to‐digest materials. Insights informed the development of a dedicated website ( www.safedrivingforparents.com ) and seven infographics centred on key domains identified by participants. Conclusions: These resources represent an important initial step toward a broader, scalable educational approach that could be delivered in partnership with health services and road safety organisations; however, evaluation is needed to understand their effectiveness in real‐world contexts. So What?: These findings highlight the need for health promotion approaches that prioritise feasible risk‐reduction strategies in populations with limited control over sleep and travel demands.

Individuals working nonstandard hours face a range of negative health, safety, and productivity outcomes, largely driven by sleep disruptions associated with their schedules. Existing interventions to improve sleep often adopt a one-size-fits-all approach, overlooking the diversity of individual needs, preferences, and work contexts. These factors are critical considerations for any intervention aiming to improve the sleep of individuals working nonstandard hours as schedules can differ dramatically, both between individuals and within an individual’s schedule. Advances in wearable consumer sleep technology and artificial intelligence, like the use of reinforcement learning and large language models, now offer the opportunity for highly tailored just-in-time-adaptive-interventions (JITAIs), or digital interventions that adapt to individuals’ unique contexts to provide personalized, timely behavioral support. This paper proposes that integrating artificial intelligence and wearable consumer sleep technology with JITAIs has the potential to deliver the right support, at the right time, and in the right context for each individual nonstandard-hour worker. By directly responding to the unpredictable and variable hours these workers face, such technologies could set a new standard for personalized health, safety, and productivity interventions. Challenges associated with incorporating artificial intelligence and wearable consumer sleep tracking devices into JITAIs, such as trust, technological and algorithmic inaccuracies, user engagement, and cost, are also discussed as key considerations for successful implementation. This paper is part of the Consumer Sleep Technology Collection.

Shiftworkers are vital to essential industries yet often experience adverse health impacts, including barriers to regular physical activity. Young shiftworkers face additional challenges due to the transitional life stage and the increase of unhealthy behaviours. This study aimed to co-design tailored, evidence-based physical activity resources to support the health and wellbeing of young shiftworkers. A participatory co-design approach was undertaken, involving 48 co-designers, including young, experienced, and former shiftworkers, workplace health and safety professionals, science communicators, and academic experts. Participants attended 1–2 of eight online workshops. Data from the recorded and transcribed workshops informed resource development and included the identification of key physical activity topics and effective communication strategies. A combined inductive and deductive thematic analysis identified 22 unique codes, which were synthesized into five major themes: physical activity basics, impacts of insufficient physical activity, physical activity for shiftworkers, strategies and actions for shiftworkers, and recommendations for workplaces. These themes guided the development of a public-facing website containing evidence-based, context-relevant physical activity resources tailored specifically for young shiftworkers. A motivational and positive framing was consistently endorsed to enhance engagement and support behaviour change. The final resources reflect the diverse perspectives of co-designers and offer a scalable and practical tool to promote physical activity in this priority population. Further research should investigate resource uptake, usability, and behavioural outcomes over time.

Purpose of Review: Traditional approaches fatigue management based solely on working time restrictions have, over recent decades, been displaced by risk-based fatigue management practices. Fatigue Risk Management Systems (FRMS) reflect a risk-based approach, whereby organisations assess and manage risks directly attributable to fatigue, rather than managing fatigue itself. Ideally, risk-based fatigue management can be aligned with international standards for risk management, thus positioning fatigue as a hazard—like any other – which can be identified, mitigated and managed so as to promote worker safety. Recent Findings: This review outlines what we consider the critical elements of a FRMS and presents key information for organisations who may be developing their own FRMS. We focus on (1) identifying and assessing fatigue-related risk within a risk-based framework, (2) promoting the idea of working safely while fatigued, and (3) addressing common challenges faced by organisations when using a FRMS. Summary: Risk-based approaches to fatigue management are increasingly common, and as such organisations need to understand both the opportunities and challenges associated with this type of system.

This study assessed the feasibility of Sleepfit, an app-based sleep intervention for shiftworkers, to evaluate participant reach, engagement, and interaction. The RE-AIM framework guided the feasibility assessment. Participants from various shiftwork industries (e.g. healthcare, mining) completed a 14-day trial of the Sleepfit app, alongside baseline and post-intervention surveys. Descriptive statistics were used to evaluate participant enjoyment and engagement, including daily app usage and the number of activities completed. Among the 110 enrolled shiftworkers, 53 (48%) completed post-intervention assessments, and 34 (30.9%) adhered to the full study protocol. Of those who completed baseline surveys, 85.4% downloaded and used Sleepfit, engaging with an average of 17.3% of available activities, with shiftwork-specific modules like "Coping with Shiftwork" showing the highest engagement. Participants cited lack of time, inconvenience, and losing interest as reasons for discontinuing app use. This study indicates the potential feasibility of app-based interventions like Sleepfit to improve shiftworkers' sleep health through tailored, relevant content. Future studies should consider longer durations and larger samples, incorporating wearable technology to enhance data accuracy and assess sustained effects across varied shift schedules.