Jones, Marc V, Smith, Nathan, Walker, Lucy ORCID: https://orcid.org/0000-0002-1934-9312, Turner, Martin, McCann, Andrew, Braithwaite, Elizabeth ORCID: https://orcid.org/0000-0003-4902-2262, Burns, Danielle, Emmerson, Paul, Webster, Leonie and Jones, Martin ORCID: https://orcid.org/0000-0003-2999-3942 (2023) Development of the ARENA training programme for resilient performance in defense and security settings. Military Psychology. pp. 1-13. ISSN 0899-5605
|
Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (814kB) | Preview |
Abstract
Defense and Security Personnel (DSP) often have to operate in the presence of stressful demands. Prior research has identified factors and processes associated with DSP being able to perform resiliently in demanding situations and settings. The aim of the present study was to develop a resilient performance training programme for UK defense and security operators. An intervention mapping (IM) method was used to guide the development of the programme. Typically, IM follows six sequential phases. In the present work, these phases were shaped by insights from prior research (e.g. systematic review and end user interviews), the input of a dedicated working group (<i>N</i> = 13) and from practitioner focus groups. During the IM process, the importance of programme flexibility was emphasized by practitioners. As such, the enAbling REsilieNt performAnce (ARENA) training programme was designed to be agile and include both face-to-face training and online learning modules. Theoretical behavior change principles, closely aligned to findings of earlier work on resilient defense and security performance, were used to underpin programme content and delivery. Future research should seek to gather data on the impact of the ARENA programme, in the targeted biological, psychological and social factors that previously been associated with resilient performances.
Impact and Reach
Statistics
Additional statistics for this dataset are available via IRStats2.