Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, Australia.
Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, Australia.
Appl Ergon. 2022 Apr;100:103651. doi: 10.1016/j.apergo.2021.103651. Epub 2021 Nov 24.
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.
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.
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.
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.
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.
事件报告和学习系统是安全管理的基本组成部分。本研究的目的是评估一种专门针对澳大利亚户外领导活动（LOA）领域的新型事件报告系统。理解和预防户外领导事故数据系统（UPLOADS）是一种最近引入的基于系统思维的事件报告和学习系统，它利用了当代安全理论和方法。
使用基于 RE-AIM 框架的方法评估 UPLOADS 的实施情况，该框架基于以下维度：涵盖范围、效果、采用、实施和维护。采用实用评估方法，通过多源数据的三角测量收集评估数据，包括来自个人组织层面（LOA 提供商）和 LOA 部门治理层面（LOA 行业代表）的不同 LOA 利益相关者、通过 UPLOADS 国家事件数据集收集的事件数据，以及 UPLOADS 的在线和实体存在。
研究结果表明，UPLOADS 的一个关键优势是作为改善 LOA 部门安全的事件报告工具的有效性。然而，UPLOADS 的一个弱点是 LOA 提供商没有正确实施它。
总体而言，目前的研究结果表明，UPLOADS 事件报告工具被中小企业视为改善 LOA 安全的有效工具。然而，需要进一步的工作，以使 UPLOADS 对 LOA 部门产生更大的影响。具体而言，需要改进 UPLOADS 系统的实施，并且可能需要额外的培训和教育，以提高 LOA 提供商的报告能力，并增强 LOA 利益相关者对安全的重视。RE-AIM 框架是一个合适的评估框架，用于了解 UPLOADS 作为特定于 LOA 部门的事件报告和学习系统的有效性。
当前的研究结果对在现实世界中应用评估框架的人体工程学研究人员和实施安全干预措施的 LOA 提供商具有实际意义。最后，基于系统的当代事件报告和学习系统有能力增强 LOA 部门的安全实践。
