Parental perceptions of social and emotional well-being of young children from Australian military families
Abstract: Introduction: Many Australian Defence Force (ADF) and Veteran families are affected by the stressors of Defence family life, including frequent and prolonged parental deployments, and frequent relocations. Objective: To address a gap in information about Defence and Veteran (hereafter Defence) parents' knowledge, confidence and resources to support their young children's well-being and build their resilience. Design: This study used a mixed methods design to explore Defence parent's perceptions of their young children's (aged 2–8 years) social and emotional well-being and understanding of their children's responses to unique stressors as well as their confidence in providing support. Data from 41 parents were available. Findings: Overall, parents reported positive well-being evaluation of their children. However, just over a third of parents also reported that their children rarely cope well on two indicators combined (adapting to new situations and sharing negative emotions with others). Significantly, more than half of the parents (61%) were only partially confident in their ability to assist their children to cope with unique stressors in military families. Qualitative data provided further insights into children's struggle with relocations and parental absence and the challenges parents face in supporting them. Parents reported having limited access to effective age- and culturally appropriate resources to support their young children. Discussion: In a first-of-its kind study, we found that Australian Defence parents reported their young children were coping on most of the key well-being indicators. However, awareness of currently available supports for children remains a barrier as well as access to contextualised, age- and culturally appropriate resources are lacking. Conclusion: There is a need for access to free, quality, online, research-based Australian resources to support young children from Defence families, especially for those living in regional and rural locations and are less likely to have access to mental health and other specialist supports.
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.