Sexual and reproductive health in military settings: A qualitative study

Abstract: Mission readiness is critical to the operational success of the United States (US) military and includes having a healthy and fit fighting force. Service members and their dependents have access to a wide range of sexual and reproductive health services with no out-of-pocket costs. Despite this access, negative outcomes such as sexually transmitted infections (STIs) and unintended pregnancy persist. Semi-structured, in-depth interviews were conducted with service members and stakeholders (e.g. medical providers). Interviews explored the individual, interpersonal, organizational, and institutional factors that inform sexual norms, behaviors, and healthcare experiences in the US military. Interview transcripts were coded manually; data were summarized for themes related to unique aspects of military culture and healthcare affecting sexual and reproductive health. Twenty-five (25) service members and 15 stakeholders completed interviews. Four themes emerged: 1) despite free access, both general and military-specific barriers to sexual and reproductive healthcare persist; 2) general and military-specific cultural norms apply to sexual behavior and care seeking; 3) sexual and reproductive health-related norms can be perceived as confusing and contradictory within the military; and 4) resources addressing sexual assault are ubiquitous in military settings, but resources addressing prevention of STIs and unintended pregnancy are limited. Both general and military-specific norms, behavior, and healthcare experiences need to be considered in clinical care, public health campaigns, and other efforts to promote sexual and reproductive health in military settings.

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