† A COVID-19 case in a fully vaccinated person occurred when SARS-CoV-2 RNA or antigen was detected in a respiratory specimen collected ≥14 days after completing the primary series of a COVID-19 vaccine with Food and Drug Administration (FDA) approval or emergency use authorization. The COVID-19 case definition, including criteria to distinguish a new case from an existing case, is per the July 2021 update to the national standardized surveillance case definition and national notification for 2019 novel coronavirus disease (COVID-19) (21-ID-01) (https://ndc.services.cdc.gov/case-definitions/ coronavirus-disease-2019-2021/). Fully vaccinated persons were those with a completed primary series of 2 doses of the Pfizer-BioNTech or Moderna mRNA vaccine or a single dose of the Janssen vaccine (https://www.cdc.gov/ coronavirus/2019-ncov/vaccines/stay-up-to-date.html). A COVID-19 case in an unvaccinated person occurred when the person did not receive any FDAauthorized COVID-19 vaccine doses before the specimen collection date. Cases were excluded in partially vaccinated persons who received at least one FDAauthorized or approved vaccine dose but did not complete a primary series ≥14 days before collection of a respiratory specimen with SARS-CoV-2 RNA or antigen detected. Ascertaining vaccination status for COVID-19 patients through active linkage of case surveillance and immunization information systems typically assumes that cases among persons who are unmatched to the registry are unvaccinated. This analysis represents the combined impact of the Pfizer-BioNTech, Moderna, and Janssen COVID-19 vaccines, which had different clinical efficacies against confirmed infection. Information on different FDA-authorized and approved COVID-19 vaccine products, including clinical efficacy, is available online. https://www.cdc.gov/coronavirus/2019-ncov/ vaccines/different-vaccines.html

Concerns about opioid-related adverse events, including overdose, prompted the Veterans Health Administration (VHA) to launch an Opioid Safety Initiative and Overdose Education and Naloxone Distribution program. To mitigate risks associated with opioid prescribing, a holistic approach that takes into consideration both risk factors (e.g., dose, substance use disorders) and risk mitigation interventions (e.g., urine drug screening, psychosocial treatment) is needed. This article describes the Stratification Tool for Opioid Risk Mitigation (STORM), a tool developed in VHA that reflects this holistic approach and facilitates patient identification and monitoring. STORM prioritizes patients for review and intervention according to their modeled risk for overdose/suicide-related events and displays risk factors and risk mitigation interventions obtained from VHA electronic medical record (EMR)-data extracts. Patients' estimated risk is based on a predictive risk model developed using fiscal year 2010 (FY2010: 10/1/2009-9/30/2010) EMR-data extracts and mortality data among 1,135,601 VHA patients prescribed opioid analgesics to predict risk for an overdose/suicide-related event in FY2011 (2.1% experienced an event). Cross-validation was used to validate the model, with receiver operating characteristic curves for the training and test data sets performing well (>.80 area under the curve). The predictive risk model distinguished patients based on risk for overdose/suicide-related adverse events, allowing for identification of high-risk patients and enrichment of target populations of patients with greater safety concerns for proactive monitoring and application of risk mitigation interventions. Results suggest that clinical informatics can leverage EMR-extracted data to identify patients at-risk for overdose/suicide-related events and provide clinicians with actionable information to mitigate risk. (PsycINFO Database Record

Justice-involved veterans are a special population with unique mental health needs compared with other veterans or justice-involved adults. Prevalence estimates of mental health concerns of justice-involved veterans across 18 samples of these veterans (1987-2013), including both incarcerated and community samples, were identified through a systematic literature search of published studies supplemented by Department of Veterans Affairs Veterans Justice Programs data. Despite heterogeneity across samples and measures used, the review highlights several prominent mental health concerns among veterans. Many justice-involved veterans have likely experienced at least one traumatic event, and many have post-traumatic stress disorder (prevalence from 4% to 39% across samples). At least half of justice-involved veterans have an alcohol and/or drug use disorder (estimates as high as 71% and 65%, respectively), and other psychiatric disorders, such as depression (14%-51%) and psychotic disorders (4%-14%), are common. Justice-involved veterans with comorbid substance use and psychiatric disorders are at increased risk of negative outcomes, including homelessness and violent behavior. Overall, comparisons of justice-involved veterans with other justice-involved adults found a slightly higher rate of mental health concerns among justice-involved veterans, with some indication that intravenous drug use is more prevalent. Compared with other veterans, justice-involved veterans have consistently higher rates of mental health concerns, particularly substance use disorders.

Objective To examine sociodemographic characteristics associated with use of My HealtheVet (MHV) by veterans living with HIV. Materials and Methods Veterans Health Administration administrative data were used to identify a cohort of veterans living with HIV in fiscal years 2011–2017. Descriptive analyses were conducted to examine demographic characteristics and racial/ethnic differences in MHV registration and tool use. Chi-Square tests were performed to assess associations between race/ethnicity and MHV registration and tool use. Results The highest proportion of registrants were non-Hispanic White veterans living with HIV (59%), followed by Hispanic/Latino (55%) and Black veterans living with HIV (40%). Chi-Square analyses revealed that: (1) MHV account registration was significantly lower for both Black and Hispanic/Latino veterans in comparison to White veterans and (2) Black MHV registrants were less likely to utilize any MHV tool compared with White MHV registrants including Blue Button record download, medication refills, secure messaging, lab, and appointment views. Discussion In line with prior research on personal health record (PHR) use among non-veteran populations, these findings show racial and ethnic inequities in MHV use among veterans living with HIV. Racial and ethnic minorities may be less likely to use PHRs for a myriad of reasons, including PHR privacy concerns, decreased educational attainment, and limited access to the internet. Conclusion This is the first study to examine racial and ethnic disparities in use of MHV tools by veterans living with HIV and utilizing Veterans Health Administration health care. Future research should examine potential moderating factors linked to decreased PHR use among racial and ethnic minority veterans, which could inform strategies to increase PHR use among vulnerable populations.