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STAMPing out child sexual abuse in football: A systems thinking approach for safeguarding in football
Journal article   Open access   Peer reviewed

STAMPing out child sexual abuse in football: A systems thinking approach for safeguarding in football

Karl Dodd, Colin Solomon, Paul M. Salmon and Scott McLean
Child Abuse & Neglect, Vol.175, pp.1-14
2026
PMID: 41844458
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Published Version Open Access CC BY V4.0

Abstract

Child sexual abuse Football governance Sport safeguarding STAMP model Systems thinking
Background Child sexual abuse (CSA) in sport remains a focal issue within Australia's national safeguarding agenda, prompting calls for more comprehensive, system-oriented prevention strategies. Football, the most widely participated organised sport among Australian children and adolescents, offers a representative context for examining CSA prevention and management across diverse communities and governance structures. Objective The aim of this study was to understand the control structure of the current safeguarding system in football in Australia using the Systems Theoretic Accident Model and Processes (STAMP). Methods A STAMP control structure was developed through a multi-phase validation process. Participants and setting Nineteen subject-matter experts (14 females, 5 males; mean age = 46.1, SD = 10.8) with an average of 5.8 years (SD = 7.6) in their current safeguarding roles and a further average 10 years (SD = 10.8) of related experience, recruited through targeted sampling across multiple levels of the safeguarding system, participated in the study. Results The resulting control structure model included 161 actors and organisations across 7 hierarchical levels of the broader sports system, 120 control mechanisms, and 94 feedback mechanisms across six hierarchical levels. Conclusions The STAMP control structure supports a systems-thinking understanding of risk propagation and highlights how structural vulnerabilities and control mechanisms can contribute to safeguarding inadequacies. The developed control structure enables the identification of structural vulnerabilities, supports the detection of leading indicators of CSA, and informs systemic safeguarding reform. By integrating actionable feedback, the model promotes adaptive learning and a shift from compliance-driven reporting to proactive, system-wide responsiveness.

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