UK Veterans' Mental Health and well-being Before and During the COVID-19 Pandemic: a Longitudinal Cohort Study
Abstract: The objective of this study is to investigate the impact of the COVID-19 pandemic on the health and well-being of UK ex-service personnel (veterans) before and during the pandemic, and to assess associations of COVID-19 experiences and stressors with mental health, alcohol use and loneliness. An additional wave of data was collected from a longitudinal cohort study of the UK Armed Forces. The study setting was an online survey, June–September 2020. Participants were Cohort members were included if they had completed a questionnaire at phase 3 of the King’s Centre for Military Health Research health and well-being study (2014–2016), had left the Armed Forces after regular service, were living in the UK, had consented to follow-up and provided a valid email address. Invitation emails were sent to N=3547 with a 44% response rate (n=1562). Primary outcome measures: Common mental health disorders (CMDs) (measured using the General Health Questionnaire, 12 items—cut-off ≥4), hazardous alcohol use (measured using the Alcohol Use Disorder Identification Test, 10 items—cut off ≥8) and loneliness (University of California, Los Angeles, Loneliness Scale— 3 items-cut-off ≥6). Veterans reported a statistically significant decrease in hazardous drinking of 48.5% to 27.6%, while CMD remained stable (non-statistically significant increase of 24.5% to 26.1%). 27.4% of veterans reported feelings of loneliness. The COVID-19 stressors of reporting difficulties with family/social relationships, boredom and difficulties with health were statistically significantly associated with CMD, hazardous drinking and loneliness, even after adjustment for previous mental health/hazardous alcohol use. Our study suggests a COVID-19 impact on veterans’ mental health, alcohol use and loneliness, particularly for those experiencing difficulties with family relationships. Veterans experienced the pandemic in similar ways to the general population and in some cases may have responded in resilient ways. While stable levels of CMD and reduction in alcohol use are positive, there remains a group of veterans who may need mental health and alcohol treatment services.
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.