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'Medication errors' are a significant concern and are associated with a higher incidence of adverse events and unintentional patient harm than any other aspect of healthcare. While much research has focused on adverse medication errors, limited studies have specifically examined 'normal' medication delivery performance and the interactions between tasks, agents, and information within the medication administration system. This article describes a study that applied the Event Analysis of Systemic Teamwork (EAST) model to study the hospital medication administration system to identify opportunities to optimise performance and patient safety. Key findings of this study demonstrate that this is a highly complex system, comprising many social agents and a relatively closely linked series of tasks and information. However, most of the workload relies on a small proportion of healthcare professionals. Significantly, the patient has a minimal role in the medication administration system during their hospital stay. The research has shown that this approach enables mapping networks and their interdependencies to optimise the system as a whole rather than its parts in isolation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Incident reporting systems are a fundamental component of safety management, however, most systems used in practice are not aligned with contemporary accident causation models. This article presents an analysis of a National Incident Dataset (NID) for adverse incidents occurring in the Australian Led Outdoor Activity (LOA) sector. The aim was to investigate the adverse Injury, Illness, and Psychosocial incidents reported to the NID. In total, 1657 injuries, 532 illnesses, and 146 psychosocial incidents were analysed from 357,691 program participation days. The findings show that the rate of incidents per 1000 program participant days in LOAs was 4.6 for injury, 1.5 for illness, and 0.04 for psychosocial incidents, and incident severity was predominately minor. The analysis of systemic contributory factors demonstrates that incidents in LOA are systemic in nature, with multiple levels of the LOA system identified as contributing to adverse incidents. For example, contributory factors were identified across local government (facilities), schools (communication), parents (communication), LOA management (policies and procedures), people involved in the incidents (mental and physical condition), and the environment (terrain) and equipment (clothing). This study presents an assessment of the current state of safety in the Australian LOA sector and demonstrates the utility of applying systems ergonomics methods in practice. Practitioner summary: This article presents an analysis of 1657 injury, 532 illness, and 146 psychosocial incidents occurring in the Australian Led Outdoor Activity (LOA) sector, using a systems ergonomics method. The findings demonstrate the incident charactersitics and how decisions and actions from across the system contribute to adverse incidents in LOAs.

Introduction: Incident reporting and learning systems are a fundamental component of safety management. The purpose of this study was to evaluate a novel incident reporting system specific to the Australian Led Outdoor Activity (LOA) sector. The Understanding and Preventing Led Outdoor Accidents Data System (UPLOADS), is a recently introduced systems thinking-based incident reporting and learning system that utilises contemporary safety theory and methods., Method: The implementation of UPLOADS was evaluated using the RE-AIM framework based on the following dimensions: Reach, Efficacy, Adoption, Implementation, and Maintenance. A pragmatic evaluation approach was used in which evaluation data were collected through the triangulation of multiple sources including different LOA stakeholders from both the individual organisational level (LOA providers) and LOA sector governance level (LOA industry representatives), incident data collected through the UPLOADS National Incident Dataset, and the online and physical presence of UPLOADS., Results: The findings show that a key strength of UPLOADS is its effectiveness as incident reporting tool for improving safety in the LOA sector. However, a weakness of UPLOADS is that it is not being implemented appropriately by the LOA providers., Conclusion: Overall, the current findings suggest that UPLOADS incident reporting tool is perceived by SMEs as an effective tool for improving safety in LOA. However, further work is required for UPLOADS to have a greater impact on the LOA sector. Specifically, Implementation of the UPLOADS system requires improvement, as well as additional training and education may be required to upskill and empower LOA providers to improve reporting and enhance the value placed on safety by LOA stakeholders. The RE-AIM framework was an appropriate evaluation framework for understanding the effectiveness of UPLOADS as a LOA sector specific incident reporting and learning system., Practical Applications: The current findings have practical implications for ergonomics researchers applying evaluation frameworks in the real world, and LOA providers for implementing safety interventions. Lastly, contemporary systems-based incident reporting and learning systems have the capability to enhance the safety practices of the LOA sector., (Copyright © 2021 Elsevier Ltd. All rights reserved.)