Holding and rupture: Describing post-traumatic stress among former UK Army and Royal Marine personnel deployed to Iraq and Afghanistan

Abstract: Former UK military personnel who were previously deployed to Iraq and Afghanistan in combat roles have exhibited elevated levels of Post-Traumatic Stress Disorder (PTSD) compared to other groups. The present qualitative analyses used semi-structured interviews and a framework analysis to compare the experiences of symptomatic (N=10) and asymptomatic (N=7) former Army and Royal Marine personnel who were exposed to combat. Participants were drawn from a large UK military health and wellbeing cohort study and were sampled based upon probable PTSD status using scores from the PTSD Checklist-Civilian Version (PCL-C). All symptomatic participants attributed the development of post-traumatic stress to deployment events, with one additionally ascribing symptoms to childhood events. Among the participants, post-traumatic stress was temporarily buffered, and held at bay, by the holding function of various military structures, including the military collective; cultural and ethical frameworks that helped to organise traumatic experiences; an operational necessity for psychological compartmentalisation and even the distraction of deployment itself. Leaving the military appeared to elicit a global rupture of these supports. As a result, the military-to-civilian transition led to an intensification of post-traumatic stress, including deployment-related memories, among the symptomatic participants. In contrast, asymptomatic participants tended to report continuity of their holding structures across the lifespan, especially across the military-to-civilian transition. The onset and maintenance of post-traumatic stress may thus be explained by an interplay between the capacity of holding structures and the magnitude of lifetime rupture. Overall, findings might provide an explanation for the widening discrepancies between those with enduring post-traumatic stress and those without and further research is required to determine the fit of our findings for other groups and contexts. This approach further illustrates the need to situate individual experiences of post-traumatic stress in wider structural, ecological, cultural and ethical contexts.

Read the full article
Report a problem with this article

Related articles

  • More for Researchers

    Identifying opioid relapse during COVID-19 using natural language processing of nationwide Veterans Health Administration electronic medical record data

    Abstract: Novel and automated means of opioid use and relapse risk detection are needed. Unstructured electronic medical record data, including written progress notes, can be mined for clinically relevant information, including the presence of substance use and relapse-critical markers of risk and recovery from opioid use disorder (OUD). In this study, we used natural language processing (NLP) to automate the extraction of opioid relapses, and the timing of these occurrences, from veteran patients' electronic medical record. We then demonstrated the utility of our NLP tool via analysis of pre-/post-COVID-19 opioid relapse trends among veterans with OUD. For this demonstration, we analyzed data from 107,606 veterans OUD enrolled in Veterans Health Administration, comparing a pandemic-exposed cohort (n = 53,803; January 2019-March 2021) to a matched prepandemic cohort (n = 53,803; October 2017-December 2019). The recall of our NLP tool was 75% and our precision was 94%, demonstrating moderate sensitivity and excellent specificity. Using the NLP tool, we found that the odds of opioid relapse postpandemic onset were proportionally higher compared to prepandemic trends, despite patients having fewer mental health encounters from which to derive instances of relapse postpandemic onset. In this research application of the tool, and as hypothesized, we found that opioid relapse risk was elevated postpandemic. The application of NLP Methods: to identify and monitor relapse risk holds promise for future surveillance, risk prevention, and clinical outcome research.

    Mental Health Peer reviewed