Culture as a Double-Edged Sword: The Posttraumatic Experience of Indigenous Ethnic Minority Veterans
Abstract: The applicability of Western concepts regarding the treatment of trauma in soldiers from indigenous ethnic minority backgrounds has scarcely been researched. This study explored the subjective meaning of living with chronic posttraumatic stress disorder (PTSD) among indigenous Bedouin veterans of the Israel Defense Forces (IDF), who are of Arab ethnicity and Muslim faith. In-depth, semistructured qualitative interviews were conducted with 10 Bedouin veterans suffering from PTSD and three Bedouin mental health clinicians working with this population. Two themes emerged: “I wanted to be like everyone else,” referring to participants’ experiences during their military service, and “Fluctuating between belonging and abandonment,” referring to veterans’ experiences of living with mental health problems in a traditional minority community. These findings highlight the importance of conducting a comprehensive inquiry into the complex cultural and social backgrounds of indigenous minority veterans suffering from PTSD, and the interplay between the conflicted identities and multiple “realities” they experience.
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.