Assessment of moral injury and PTSD in active-duty personnel and Veterans in Ukraine: A scoping review

Abstract: Purpose- This study is a scoping literature review of research into post-traumatic stress disorder (PTSD) and moral injury (MI) in active-duty military personnel and veterans in Ukraine. This study aims to explore the existing research regarding the relationship between PTSD and MI in Ukrainian military personnel to identify the need for future research in a vulnerable social group that is exposed to a high level of conflict. Design/methodology/approach- This scoping review includes the results of peer-reviewed articles from online databases (PubMed, Science Direct, PsycArticles, Military Database, Sociological Abstract, Psychology Database, PTSD Pubs, Web of Science), which were searched for publications in English, Ukrainian and Russian. The data obtained was organized using Preferred Reporting Items for Systematic Reviews extension for scoping reviews and Meta-Analyses, the Critical Appraisal Skills Programme Qualitative Studies Checklist and Joanna Briggs Institute Critical Appraisal Checklist. Data was analyzed and categorized using an inductive thematic analysis. Findings- According to the thematic analysis, the following themes were identified in a Ukrainian military context: sources of PTSD, sources of moral injury, symptoms of PTSD, symptoms of moral injury and treating and prevention mechanisms. All studies included in the scoping review (32) report on PTSD and/or MI in military groups in Ukraine. They find the gap in research and in numerous comprehensive studies problematic and underline the need for more effective rehabilitation programs. Practical implications- A scoping review was conducted to thematically map the research in the area, identify any knowledge gaps deficit about PTSD and MI in Military personnel in Ukraine and contribute to further development of effective rehabilitation programs. Originality/value- The sparsity of the existing literature highlights the need for further research into enhancing the mental health services provided to military personnel. In addition, there is a growing need to further explore trauma exposure and potentially morally injurious events related to PTSD and MI, in particular. Such a review has not yet been carried out, which adds value to the current paper.

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.