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Background Late sequelae of COVID-19 have been reported; however, few studies have investigated the time course or incidence of late new COVID-19–related health conditions (post-COVID conditions) after COVID-19 diagnosis. Studies distinguishing post-COVID conditions from late conditions caused by other etiologies are lacking. Using data from a large administrative all-payer database, we assessed type, association, and timing of post-COVID conditions following COVID-19 diagnosis. Methods Using the Premier Healthcare Database Special COVID-19 Release (release date, 20 October 2020) data, during March–June 2020, 27 589 inpatients and 46 857 outpatients diagnosed with COVID-19 (case-patients) were 1:1 matched with patients without COVID-19 through the 4-month follow-up period (control-patients) by using propensity score matching. In this matched-cohort study, adjusted ORs were calculated to assess for late conditions that were more common in case-patients than control-patients. Incidence proportion was calculated for conditions that were more common in case-patients than control-patients during 31–120 days following a COVID-19 encounter. Results During 31–120 days after an initial COVID-19 inpatient hospitalization, 7.0% of adults experienced ≥1 of 5 post-COVID conditions. Among adult outpatients with COVID-19, 7.7% experienced ≥1 of 10 post-COVID conditions. During 31–60 days after an initial outpatient encounter, adults with COVID-19 were 2.8 times as likely to experience acute pulmonary embolism as outpatient control-patients and also more likely to experience a range of conditions affecting multiple body systems (eg, nonspecific chest pain, fatigue, headache, and respiratory, nervous, circulatory, and gastrointestinal symptoms) than outpatient control-patients. Conclusions These findings add to the evidence of late health conditions possibly related to COVID-19 in adults following COVID-19 diagnosis and can inform healthcare practice and resource planning for follow-up COVID-19 care.

Approximately 375,000 deaths during 2020 were attributed to COVID-19 on death certificates reported to CDC (1). Concerns have been raised that some deaths are being improperly attributed to COVID-19 (2). Analysis of International Classification of Diseases, Tenth Revision (ICD-10) diagnoses on official death certificates might provide an expedient and efficient method to demonstrate whether reported COVID-19 deaths are being overestimated. CDC assessed documentation of diagnoses co-occurring with an ICD-10 code for COVID-19 (U07.1) on U.S. death certificates from 2020 that had been reported to CDC as of February 22, 2021. Among 378,048 death certificates listing U07.1, a total of 357,133 (94.5%) had at least one other ICD-10 code; 20,915 (5.5%) had only U07.1. Overall, 97.3% of 357,133 death certificates with at least one other diagnosis (91.9% of all 378,048 death certificates) were noted to have a co-occurring diagnosis that was a plausible chain-of-event condition (e.g., pneumonia or respiratory failure), a significant contributing condition (e.g., hypertension or diabetes), or both. Overall, 70%-80% of death certificates had both a chain-of-event condition and a significant contributing condition or a chain-of-event condition only; this was noted for adults aged 18-84 years, both males and females, persons of all races and ethnicities, those who died in inpatient and outpatient or emergency department settings, and those whose manner of death was listed as natural. These findings support the accuracy of COVID-19 mortality surveillance in the United States using official death certificates. High-quality documentation of co-occurring diagnoses on the death certificate is essential for a comprehensive and authoritative public record. Continued messaging and training (3) for professionals who complete death certificates remains important as the pandemic progresses. Accurate mortality surveillance is critical for understanding the impact of variants of SARS-CoV-2, the virus that causes COVID-19, and of COVID-19 vaccination and for guiding public health action.

Obesity* is a recognized risk factor for severe COVID-19 (1,2), possibly related to chronic inflammation that disrupts immune and thrombogenic responses to pathogens (3) as well as to impaired lung function from excess weight (4). Obesity is a common metabolic disease, affecting 42.4% of U.S. adults (5), and is a risk factor for other chronic diseases, including type 2 diabetes, heart disease, and some cancers.† The Advisory Committee on Immunization Practices considers obesity to be a high-risk medical condition for COVID-19 vaccine prioritization (6). Using data from the Premier Healthcare Database Special COVID-19 Release (PHD-SR),§ CDC assessed the association between body mass index (BMI) and risk for severe COVID-19 outcomes (i.e., hospitalization, intensive care unit [ICU] or stepdown unit admission, invasive mechanical ventilation, and death). Among 148,494 adults who received a COVID-19 diagnosis during an emergency department (ED) or inpatient visit at 238 U.S. hospitals during March-December 2020, 28.3% had overweight and 50.8% had obesity. Overweight and obesity were risk factors for invasive mechanical ventilation, and obesity was a risk factor for hospitalization and death, particularly among adults aged

In the 10 months since the first confirmed case of coronavirus disease 2019 (COVID-19) was reported in the United States on January 20, 2020 (1), approximately 13.8 million cases and 272,525 deaths have been reported in the United States. On October 30, the number of new cases reported in the United States in a single day exceeded 100,000 for the first time, and by December 2 had reached a daily high of 196,227.* With colder weather, more time spent indoors, the ongoing U.S. holiday season, and silent spread of disease, with approximately 50% of transmission from asymptomatic persons (2), the United States has entered a phase of high-level transmission where a multipronged approach to implementing all evidence-based public health strategies at both the individual and community levels is essential. This summary guidance highlights critical evidence-based CDC recommendations and sustainable strategies to reduce COVID-19 transmission. These strategies include 1) universal face mask use, 2) maintaining physical distance from other persons and limiting in-person contacts, 3) avoiding nonessential indoor spaces and crowded outdoor spaces, 4) increasing testing to rapidly identify and isolate infected persons, 5) promptly identifying, quarantining, and testing close contacts of persons with known COVID-19, 6) safeguarding persons most at risk for severe illness or death from infection with SARS-CoV-2, the virus that causes COVID-19, 7) protecting essential workers with provision of adequate personal protective equipment and safe work practices, 8) postponing travel, 9) increasing room air ventilation and enhancing hand hygiene and environmental disinfection, and 10) achieving widespread availability and high community coverage with effective COVID-19 vaccines. In combination, these strategies can reduce SARS-CoV-2 transmission, long-term sequelae or disability, and death, and mitigate the pandemic's economic impact. Consistent implementation of these strategies improves health equity, preserves health care capacity, maintains the function of essential businesses, and supports the availability of in-person instruction for kindergarten through grade 12 schools and preschool. Individual persons, households, and communities should take these actions now to reduce SARS-CoV-2 transmission from its current high level. These actions will provide a bridge to a future with wide availability and high community coverage of effective vaccines, when safe return to more everyday activities in a range of settings will be possible.

Coronavirus disease 2019 (COVID-19) is a complex clinical illness with potential complications that might require ongoing clinical care (1-3). Few studies have investigated discharge patterns and hospital readmissions among large groups of patients after an initial COVID-19 hospitalization (4-7). Using electronic health record and administrative data from the Premier Healthcare Database,* CDC assessed patterns of hospital discharge, readmission, and demographic and clinical characteristics associated with hospital readmission after a patient's initial COVID-19 hospitalization (index hospitalization). Among 126,137 unique patients with an index COVID-19 admission during March-July 2020, 15% died during the index hospitalization. Among the 106,543 (85%) surviving patients, 9% (9,504) were readmitted to the same hospital within 2 months of discharge through August 2020. More than a single readmission occurred among 1.6% of patients discharged after the index hospitalization. Readmissions occurred more often among patients discharged to a skilled nursing facility (SNF) (15%) or those needing home health care (12%) than among patients discharged to home or self-care (7%). The odds of hospital readmission increased with age among persons aged ≥65 years, presence of certain chronic conditions, hospitalization within the 3 months preceding the index hospitalization, and if discharge from the index hospitalization was to a SNF or to home with health care assistance. These results support recent analyses that found chronic conditions to be significantly associated with hospital readmission (6,7) and could be explained by the complications of underlying conditions in the presence of COVID-19 (8), COVID-19 sequelae (3), or indirect effects of the COVID-19 pandemic (9). Understanding the frequency of, and risk factors for, readmission can inform clinical practice, discharge disposition decisions, and public health priorities such as health care planning to ensure availability of resources needed for acute and follow-up care of COVID-19 patients. With the recent increases in cases nationwide, hospital planning can account for these increasing numbers along with the potential for at least 9% of patients to be readmitted, requiring additional beds and resources.

Hydroxychloroquine and chloroquine, primarily used to treat autoimmune diseases and to prevent and treat malaria, received national attention in early March 2020, as potential treatment and prophylaxis for coronavirus disease 2019 (COVID-19) (1). On March 20, the Food and Drug Administration (FDA) issued an emergency use authorization (EUA) for chloroquine phosphate and hydroxychloroquine sulfate in the Strategic National Stockpile to be used by licensed health care providers to treat patients hospitalized with COVID-19 when the providers determine the potential benefit outweighs the potential risk to the patient.* Following reports of cardiac and other adverse events in patients receiving hydroxychloroquine for COVID-19 (2), on April 24, 2020, FDA issued a caution against its use† and on June 15, rescinded its EUA for hydroxychloroquine from the Strategic National Stockpile.§ Following the FDA's issuance of caution and EUA rescindment, on May 12 and June 16, the federal COVID-19 Treatment Guidelines Panel issued recommendations against the use of hydroxychloroquine or chloroquine to treat COVID-19; the panel also noted that at that time no medication could be recommended for COVID-19 pre- or postexposure prophylaxis outside the setting of a clinical trial (3). However, public discussion concerning the effectiveness of these drugs on outcomes of COVID-19 (4,5), and clinical trials of hydroxychloroquine for prophylaxis of COVID-19 continue.¶ In response to recent reports of notable increases in prescriptions for hydroxychloroquine or chloroquine (6), CDC analyzed outpatient retail pharmacy transaction data to identify potential differences in prescriptions dispensed by provider type during January-June 2020 compared with the same period in 2019. Before 2020, primary care providers and specialists who routinely prescribed hydroxychloroquine, such as rheumatologists and dermatologists, accounted for approximately 97% of new prescriptions. New prescriptions by specialists who did not typically prescribe these medications (defined as specialties accounting for ≤2% of new prescriptions before 2020) increased from 1,143 prescriptions in February 2020 to 75,569 in March 2020, an 80-fold increase from March 2019. Although dispensing trends are returning to prepandemic levels, continued adherence to current clinical guidelines for the indicated use of these medications will ensure their availability and benefit to patients for whom their use is indicated (3,4), because current data on treatment and pre- or postexposure prophylaxis for COVID-19 indicate that the potential benefits of these drugs do not appear to outweigh their risks.

Background Exposure to military sexual trauma (MST) in veterans is associated with suicidal ideation. Previous research suggests there are mechanisms of this association, including posttraumatic stress disorder (PTSD) and depression. Research has yet to examine whether comorbid PTSD and depression mediate the association of MST and suicide and intentional self-inflicted injury, and whether this comorbidity confers a greater risk for suicide relative to PTSD-only and depression-only. The current study addressed this gap in our knowledge. Methods Screening results identifying MST exposure, PTSD and depression diagnoses, suicide and intentional self-inflicted injury, and demographic covariates in 435,690 Iraq/Afghanistan veterans were extracted from Veterans Health Administration (VHA) medical records. Veterans were included if they attended VHA from 2004-2014. Mediation was tested with path analyses. Results Suicide and intentional self-inflicted injury was observed in 16,149 (3.71%) veterans. The indirect effect of suicide and intentional self-inflicted injury, given a positive screen for MST, was highest among veterans with comorbid PTSD and depression diagnoses (indirect effect=3.18%, 95% confidence interval [CI] [3.01%, 3.32%]), with smaller probabilities observed for both PTSD-only (indirect effect=-0.18%, 95% CI [-0.20%, -0.14%]) and depression-only (indirect effect=0.56%, 95% CI [0.51%, 0.62%]; ps Limitations Data were limited to VHA-enrolled Iraq/Afghanistan veterans. Conclusions To reduce suicide risk among veterans with a history of MST, treatments may be most effective if they target comorbid PTSD and depression. Future research should examine the mechanisms through which comorbid PTSD and depression result in heightened risk for suicide and intentional self-inflicted injury.

Background Military sexual trauma (MST) is associated with increased risk for posttraumatic stress disorder (PTSD) and depression diagnoses, as well as suicidal ideation/behavior (SI/B). Little is known about the differential effect of gender on the association of MST and the aforementioned mental health outcomes. As females are the fastest growing subpopulation of the Veterans Health Administration (VHA), it is imperative to assess possible between-gender differences in the association of MST with PTSD, depression, and SI/B. Methods Participants were 435,690 (n = 382,021, 87.7% men) 9/11 era veterans seen for care at the VHA between 2004 and 2014. Demographics, gender, PTSD and depression diagnoses, SI/B, and MST screen status were extracted from medical records. Adjusted logistic regression models assessed the moderating effect of gender on the association of MST with PTSD and depression diagnoses, as well as SI/B. Results Women with MST had a larger increased risk for a PTSD diagnosis (predicted probability =0.56, 95% confidence interval [CI] [0.56, 0.56]) and comparable risk for a depression diagnosis (predicted probability = 0.63, 95% CI [0.63, 0.64]) compared to men with MST. Men were more likely to have evidence of SI/B (predicted probability = 1.07, 95% CI [0.10, 0.11]) relative to women, but the interaction between gender and MST was nonsignificant. Limitations Data were limited to veterans seeking care through VHA and the MST screen did not account for MST severity. Conclusions Non-VHA settings may consider screening for MST in both men and women, given that risk for PTSD and depression is heightened among female survivors of MST.

Introduction We explore disparities in awarding post-traumatic stress disorder (PTSD) service-connected disability benefits (SCDB) to veterans based on gender, race/ethnicity, and misconduct separation. Methods Department of Defense data on service members who separated from October 1, 2001 to May 2017 were linked to Veterans Administration (VA) administrative data. Using adjusted logistic regression models, we determined the odds of receiving a PTSD SCDB conditional on a VA diagnosis of PTSD. Results A total of 1,558,449 (79% of separating service members) had at least one encounter in VA during the study period (12% female, 4.5% misconduct separations). Females (OR 0.72) and Blacks (OR 0.93) were less likely to receive a PTSD award and were nearly equally likely to receive a PTSD diagnosis (OR 0.97, 1.01). Other racial/ethnic minorities were more likely to receive an award and diagnosis, as were those with misconduct separations (award OR 1.3, diagnosis 2.17). Conclusions Despite being diagnosed with PTSD at similar rates to their referent categories, females and Black veterans are less likely to receive PTSD disability awards. Other racial/ethnic minorities and those with misconduct separations were more likely to receive PTSD diagnoses and awards. Further study is merited to explore variation in awarding SCDB.

Introduction Musculoskeletal (MSK) conditions are commonly seen among military service members (SM) and Veterans. We explored correlates of award of MSK-related service-connected disability benefits (SCDB) among SM seeking care in Veterans Affairs (VA) hospitals. Materials and Methods Department of Defense data on SM who separated from October 1, 2001 to May 2017 were linked to VA administrative data. Using adjusted logistic regression models, we determined the odds of receiving MSK SCDB. Results A total of 1,558,449 (79% of separating SM) had at least one encounter in VA during the study period (7.8% disability separations). Overall, 51% of this cohort had at least one MSK SCDB (88% among disability separations, 48% among normal). Those with disability separations (as compared to normal separations) were significantly more likely to receive MSK SCDB (odds ratio 2.37) as were females (compared to males, odds ratio 1.15). Conclusions Although active duty SM with disability separations were more likely to receive MSK-related service-connected disability ratings in the VA, those with normal separations also received such awards. Identifying those at highest risk for MSK-related disability could lead to improved surveillance and prevention strategies in the Department of Defense and VA health care systems to prevent further damage and disability.

Military sexual trauma (MST) is a significant public health issue associated with adverse psychiatric outcomes, including heightened risk for suicide, posttraumatic stress disorder, depression, and substance use disorders. Recently, research has begun exploring gender-linked disparities in mental health outcomes for individuals who experience MST. The current study assessed whether women who screened positive for MST were at disproportionately higher risk for diagnoses of alcohol-use disorder (AUD) or drug-use disorder (DUD) relative to men. Veterans Health Administration (VHA) clinical data were extracted for 435,690 military veterans who separated from the military between 2004 and 2011 and had at least 5 years of follow-up data after their initial VHA visit until the end of fiscal year 2014. Logistic regression models examined the main and interactive effects of gender and screening positively for MST as predictors of AUD and DUD. MST positive screens were associated with increased rates of both AUD and DUD across genders. Although rates of both AUD and DUD were higher among men, the increased rate of diagnosis associated with MST positive screens was proportionally higher for women than men (interaction adjusted odds ratios = 1.43 and 1.17 for AUD and DUD, respectively), indicating the presence of a gender-linked health risk disparity. This disparity was more pronounced for AUD than DUD (p < .01). The current study adds to previous literature documenting increased risk for women exposed to MST. These findings support efforts to reduce the occurrence of MST and continued use of MST screening measures within the VHA. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Women Veterans who experience homelessness are at high risk of unintended pregnancy and adverse outcomes. Contraception could mitigate risks, yet access barriers exist across the Veterans Health Administration (VHA). We identified all US women Veterans, age 18–44y with evidence of homelessness in VHA administrative data between fiscal years 2002–2015, in order to document the geographic distribution of ever-homeless women Veterans in relation to VA Medical Centers (VAMCs) and assess geographic associations between long acting reversible contraceptives (LARC) or permanent contraception (PC) use. We calculated VAMC travel distance from last known ZIP Code. We used multivariate logistic regression models to explore contraceptive method associations. We included 41,722 ever-homeless women Veterans; 9.2% had LARC exposure and 7.5% PC. We found 29% of ever-homeless women Veterans resided >40miles from the nearest VAMC and increasing drive distance was negatively correlated with contraceptive exposure, especially for Veterans residing >100miles from a VAMC. Increasing distance to the nearest VAMC results in a geographic barrier to the most effective contraceptive options for women Veterans. The VHA is uniquely positioned to leverage its rural and homeless healthcare expertise to address geographic barriers and integrate comprehensive contraceptive services into established programs for high-risk Veterans.

Community-associated acquisition of extended-spectrum beta-lactamase- (ESBL) and carbapenemase-producing Enterobacteriaceae has significantly increased in recent years, necessitating greater inquiry into potential exposure routes, including food and water sources. In high-income countries, drinking water is often neglected as a possible source of community exposure to antibiotic-resistant organisms. We screened coliform-positive tap water samples (n = 483) from public and private water systems in six states of the United States for blaCTX-M, blaSHV, blaTEM, blaKPC, blaNDM, and blaOXA-48-type genes by multiplex PCR. Positive samples were subcultured to isolate organisms harboring ESBL or carbapenemase genes. Thirty-one samples (6.4%) were positive for blaCTX-M, ESBL-type blaSHV or blaTEM, or blaOXA-48-type carbapenemase genes, including at least one positive sample from each state. ESBL and blaOXA-48-type Enterobacteriaceae isolates included E. coli, Kluyvera, Providencia, Klebsiella, and Citrobacter species. The blaOXA-48-type genes were also found in non-fermenting Gram-negative species, including Shewanella, Pseudomonas and Acinetobacter. Multiple isolates were phenotypically non-susceptible to third-generation cephalosporin or carbapenem antibiotics. These findings suggest that tap water in high income countries could serve as an important source of community exposure to ESBL and carbapenemase genes, and that these genes may be disseminated by non-Enterobacteriaceae that are not detected as part of standard microbiological water quality testing.

We described antibiotic use among inpatients with coronavirus disease 2019 (COVID-19). Most COVID-19 inpatients received antibiotic therapy. We also described hospital-wide antibiotic use during 2020 compared with 2019, stratified by hospital COVID-19 burden. Although total antibiotic use decreased between years, certain antibiotic use increased with higher COVID-19 burden., From March to October 2020, most inpatients with COVID-19 received antibiotics, frequently those used to treat lower respiratory infections. Facility-level use of these agents increased with higher COVID-19 burden. Resiliency of stewardship programs is critical to optimize treatment and outcomes.

Background Evidence on risk for adverse outcomes from coronavirus disease 2019 (COVID-19) among pregnant women is still emerging. We examined the association between COVID-19 at delivery and adverse pregnancy outcomes, maternal complications, and severe illness, and whether these associations differ by race/ethnicity, and describe discharge status by COVID-19 diagnosis and maternal complications. Methods Data from 703 hospitals in the Premier Healthcare Database during March–September 2020 were included. Adjusted risk ratios (aRRs) overall and stratified by race/ethnicity were estimated using Poisson regression with robust standard errors. Proportion not discharged home was calculated by maternal complications, stratified by COVID-19 diagnosis. Results Among 489 471 delivery hospitalizations, 6550 (1.3%) had a COVID-19 diagnosis. In adjusted models, COVID-19 was associated with increased risk for acute respiratory distress syndrome (aRR, 34.4), death (aRR, 17.0), sepsis (aRR, 13.6), mechanical ventilation (aRR, 12.7), shock (aRR, 5.1), intensive care unit admission (aRR, 3.6), acute renal failure (aRR, 3.5), thromboembolic disease (aRR, 2.7), adverse cardiac event/outcome (aRR, 2.2), and preterm labor with preterm delivery (aRR, 1.2). Risk for any maternal complications or for any severe illness did not significantly differ by race/ethnicity. Discharge status did not differ by COVID-19; however, among women with concurrent maternal complications, a greater proportion of those with (vs without) COVID-19 were not discharged home. Conclusions These findings emphasize the importance of implementing recommended prevention strategies to reduce risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and further inform counseling and clinical care for pregnant women during the COVID-19 pandemic.

Background As a result of the continuing surge of coronavirus disease 2019 (COVID-19), many patients have delayed or missed routine screening and preventive services. Medical conditions, such as coronary heart disease, mental health issues, and substance use disorder, may be identified later, leading to increases in patient morbidity and mortality. Methods National Emergency Medical Services Information System data were used to assess 911 emergency medical services (EMS) activations during 2018–2020. For specific activation types, the percentage of total activations was calculated per week, and Joinpoint analysis was used to identify changes over time. Results Since March 2020, the number of 911 EMS activations has decreased, while the percentages of on-scene death, cardiac arrest, and opioid use/overdose EMS activations were higher than prepandemic levels. During the early pandemic period, percentages of total EMS activations increased for on-scene death (from 1.3% to 2.4% during weeks 11–15), cardiac arrest (from 1.3% to 2.2% during weeks 11–15), and opioid use/overdose (from 0.6% to 1.1% during weeks 8–18). The percentages then declined but remained above prepandemic levels through calendar week 52. Conclusions The COVID-19 pandemic has indirect consequences, such as relative increases in EMS activations for cardiac events and opioid use/overdose, possibly linked to disruptions is healthcare access and health-seeking behaviors. Increasing telehealth visits and other opportunities for patient–provider touch points for chronic disease and substance use disorders that emphasize counseling, preventive care, and expanded access to medications can disrupt delayed care-seeking during the pandemic and potentially prevent premature death.

BACKGROUND More than 1 million Americans receive primary care from federal homeless health care programs yearly. Vulnerabilities that can make care challenging include pain, addiction, psychological distress, and a lack of shelter. Research on the effectiveness of tailoring services for this population is limited. OBJECTIVE The aim was to examine whether homeless-tailored primary care programs offer a superior patient experience compared with nontailored ("mainstream") programs overall, and for highly vulnerable patients. RESEARCH DESIGN National patient survey comparing 26 US Department of Veterans Affairs (VA) Medical Centers' homeless-tailored primary care ("H-PACT"s) to mainstream primary care ("mainstream PACT"s) at the same locations. PARTICIPANTS A total of 5766 homeless-experienced veterans. MEASURES Primary care experience on 4 scales: Patient-Clinician Relationship, Cooperation, Accessibility/Coordination, and Homeless-Specific Needs. Mean scores (range: 1-4) were calculated and dichotomized as unfavorable versus not. We counted key vulnerabilities (chronic pain, unsheltered homelessness, severe psychological distress, and history of overdose, 0-4), and categorized homeless-experienced veterans as having fewer (≤1) and more (≥2) vulnerabilities. RESULTS H-PACTs outscored mainstream PACTs on all scales (all P

Rationale: Computerized severity assessment for community-acquired pneumonia could improve consistency and reduce clinician burden. Objectives: To develop and compare 30-day mortality-prediction mo...

Background The relationship between traumatic injury and subsequent mental health diagnoses is not well understood and may have significant implications for patient screening and clinical intervention. We sought to determine the adjusted association between traumatic injury and the subsequent development of post‐traumatic stress disorder (PTSD), depression, and anxiety. Methods Using Department of Defense and Veterans Affairs datasets between February 2002 and June 2016, we conducted a retrospective cohort study of 7,787 combat‐injured United States service members matched 1:1 to combat‐deployed, uninjured service members. The primary exposure was combat injury versus no combat injury. Outcomes were diagnoses of PTSD, depression, and anxiety, defined by International Classification of Diseases 9th and 10th Revision Clinical Modification codes. Results Compared to noninjured service members, injured service members had higher observed incidence rates per 100 person‐years for PTSD (17.1 vs. 5.8), depression (10.4 vs. 5.7), and anxiety (9.1 vs. 4.9). After adjustment, combat‐injured patients were at increased risk of development of PTSD (HR 2.92, 95%CI 2.68–3.17), depression (HR 1.47, 95%CI 1.36–1.58), and anxiety (HR 1.34, 95%CI 1.24–1.45). Conclusions Traumatic injury is associated with subsequent development of PTSD, depression, and anxiety. These findings highlight the importance of increased screening, prevention, and intervention in patients with exposure to physical trauma., In this retrospective cohort study of 7,787 combat‐injured United States service members matched 1:1 to combat‐deployed, uninjured service members, combat‐injured service members had higher incidence rates per 100 person‐years for PTSD (17.1 vs. 5.8), depression (10.4 vs. 5.7), and anxiety (9.1 vs. 4.9) when compared to uninjured service members. After adjustment, combat‐injured patients were at increased risk of development of PTSD (HR 2.92, 95%CI 2.68–3.17), depression (HR 1.47, 95%CI 1.36–1.58), and anxiety (HR 1.34, 95%CI 1.24–1.45). These findings highlight the importance of increased screening, prevention, and intervention in patients with exposure to physical trauma.

Background Older adults and people from certain racial and ethnic groups are disproportionately represented in coronavirus disease 2019 (COVID-19) hospitalizations and deaths. Methods Using data from the Premier Healthcare Database on 181 813 hospitalized adults diagnosed with COVID-19 during March–September 2020, we applied multivariable log-binomial regression to assess the associations between age and race/ethnicity and COVID-19 clinical severity (intensive care unit [ICU] admission, invasive mechanical ventilation [IMV], and death) and to determine whether the impact of age on clinical severity differs by race/ethnicity. Results Overall, 84 497 (47%) patients were admitted to the ICU, 29 078 (16%) received IMV, and 27 864 (15%) died in the hospital. Increased age was strongly associated with clinical severity when controlling for underlying medical conditions and other covariates; the strength of this association differed by race/ethnicity. Compared with non-Hispanic White patients, risk of death was lower among non-Hispanic Black patients (adjusted risk ratio, 0.96; 95% CI, 0.92–0.99) and higher among Hispanic/Latino patients (risk ratio [RR], 1.15; 95% CI, 1.09–1.20), non-Hispanic Asian patients (RR, 1.16; 95% CI, 1.09–1.23), and patients of other racial and ethnic groups (RR, 1.13; 95% CI, 1.06–1.21). Risk of ICU admission and risk of IMV were elevated among some racial and ethnic groups. Conclusions These results indicate that age is a driver of poor outcomes among hospitalized persons with COVID-19. Additionally, clinical severity may be elevated among patients of some racial and ethnic minority groups. Public health strategies to reduce severe acute respiratory syndrome coronavirus 2 infection rates among older adults and racial and ethnic minorities are essential to reduce poor outcomes.

Key Points Question What proportion of persons across 52 US jurisdictions had detectable antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from July to September 2020? Findings In this repeated, cross-sectional study of 177 919 residual clinical specimens, the estimated percentage of persons in a jurisdiction with detectable SARS-CoV-2 antibodies ranged from fewer than 1% to 23%. Over 4 sampling periods in 42 of 49 jurisdictions with calculated estimates, fewer than 10% of people had detectable SARS-CoV-2 antibodies. Meaning While SARS-CoV-2 antibody prevalence estimates varied widely across jurisdictions, most people in the US did not have evidence of previous SARS-CoV-2 infection., Importance Case-based surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection likely underestimates the true prevalence of infections. Large-scale seroprevalence surveys can better estimate infection across many geographic regions. Objective To estimate the prevalence of persons with SARS-CoV-2 antibodies using residual sera from commercial laboratories across the US and assess changes over time. Design, Setting, and Participants This repeated, cross-sectional study conducted across all 50 states, the District of Columbia, and Puerto Rico used a convenience sample of residual serum specimens provided by persons of all ages that were originally submitted for routine screening or clinical management from 2 private clinical commercial laboratories. Samples were obtained during 4 collection periods: July 27 to August 13, August 10 to August 27, August 24 to September 10, and September 7 to September 24, 2020. Exposures Infection with SARS-CoV-2. Main Outcomes and Measures The proportion of persons previously infected with SARS-CoV-2 as measured by the presence of antibodies to SARS-CoV-2 by 1 of 3 chemiluminescent immunoassays. Iterative poststratification was used to adjust seroprevalence estimates to the demographic profile and urbanicity of each jurisdiction. Seroprevalence was estimated by jurisdiction, sex, age group (0-17, 18-49, 50-64, and ≥65 years), and metropolitan/nonmetropolitan status. Results Of 177 919 serum samples tested, 103 771 (58.3%) were from women, 26 716 (15.0%) from persons 17 years or younger, 47 513 (26.7%) from persons 65 years or older, and 26 290 (14.8%) from individuals living in nonmetropolitan areas. Jurisdiction-level seroprevalence over 4 collection periods ranged from less than 1% to 23%. In 42 of 49 jurisdictions with sufficient samples to estimate seroprevalence across all periods, fewer than 10% of people had detectable SARS-CoV-2 antibodies. Seroprevalence estimates varied between sexes, across age groups, and between metropolitan/nonmetropolitan areas. Changes from period 1 to 4 were less than 7 percentage points in all jurisdictions and varied across sites. Conclusions and Relevance This cross-sectional study found that as of September 2020, most persons in the US did not have serologic evidence of previous SARS-CoV-2 infection, although prevalence varied widely by jurisdiction. Biweekly nationwide testing of commercial clinical laboratory sera can play an important role in helping track the spread of SARS-CoV-2 in the US., This cross-sectional study examines the prevalence of persons with SARS-CoV-2 antibodies across the US and changes from July to September 2020.

Objectives We present the development and validation of a portable NLP approach for automated surveillance of SSIs. Summary of background data The surveillance of SSIs is labor-intensive limiting the generalizability and scalability of surgical quality surveillance programs. Methods We abstracted patient clinical text notes after surgical procedures from 2 independent healthcare systems using different electronic healthcare records. An SSI detected as part of the American College of Surgeons' National Surgical Quality Improvement Program was used as the reference standard. We developed a rules-based NLP system (Easy Clinical Information Extractor [CIE]-SSI) for operative event-level detection of SSIs using an training cohort (4574 operative events) from 1 healthcare system and then conducted internal validation on a blind cohort from the same healthcare system (1850 operative events) and external validation on a blind cohort from the second healthcare system (15,360 operative events). EasyCIE-SSI performance was measured using sensitivity, specificity, and area under the receiver-operating-curve (AUC). Results The prevalence of SSI was 4% and 5% in the internal and external validation corpora. In internal validation, EasyCIE-SSI had a sensitivity, specificity, AUC of 94%, 88%, 0.912 for the detection of SSI, respectively. In external validation, EasyCIE-SSI had sensitivity, specificity, AUC of 79%, 92%, 0.852 for the detection of SSI, respectively. The sensitivity of EasyCIE-SSI decreased in clean, skin/subcutaneous, and outpatient procedures in the external validation compared to internal validation. Conclusion Automated surveillance of SSIs can be achieved using NLP of clinical notes with high sensitivity and specificity.

As of September 21, 2020, the coronavirus disease 2019 (COVID-19) pandemic had resulted in more than 6,800,000 reported U.S. cases and more than 199,000 associated deaths.* Early in the pandemic, COVID-19 incidence was highest among older adults (1). CDC examined the changing age distribution of the COVID-19 pandemic in the United States during May-August by assessing three indicators: COVID-19-like illness-related emergency department (ED) visits, positive reverse transcription-polymerase chain reaction (RT-PCR) test results for SARS-CoV-2, the virus that causes COVID-19, and confirmed COVID-19 cases. Nationwide, the median age of COVID-19 cases declined from 46 years in May to 37 years in July and 38 in August. Similar patterns were seen for COVID-19-like illness-related ED visits and positive SARS-CoV-2 RT-PCR test results in all U.S. Census regions. During June-August, COVID-19 incidence was highest in persons aged 20-29 years, who accounted for >20% of all confirmed cases. The southern United States experienced regional outbreaks of COVID-19 in June. In these regions, increases in the percentage of positive SARS-CoV-2 test results among adults aged 20-39 years preceded increases among adults aged ≥60 years by an average of 8.7 days (range = 4-15 days), suggesting that younger adults likely contributed to community transmission of COVID-19. Given the role of asymptomatic and presymptomatic transmission (2), strict adherence to community mitigation strategies and personal preventive behaviors by younger adults is needed to help reduce their risk for infection and subsequent transmission of SARS-CoV-2 to persons at higher risk for severe illness.

Background A better understanding of the long-term health effects of combat injury is important for the management of veterans’ health in the Department of Defense (DoD) and Veterans Affairs (VA) health care systems and may have implications for primary care management of civilian trauma patients. Objective To determine the impact of traumatic injury on the subsequent development of hypertension (HTN), diabetes mellitus (DM), and coronary artery disease (CAD) after adjustment for sociodemographic, health behavior, and mental health factors. Design Retrospective cohort study of current and former US military personnel with data obtained from both the DoD and VA health care systems. Participants Combat injured (n = 8727) service members between 1 February 2002 and 14 June 2016 randomly selected from the DoD Trauma Registry matched 1:1 based on year of birth, sex, and branch of service to subjects that deployed to a combat zone but were not injured. Main Measures Traumatic injury, stratified by severity, compared with no documented injury. Diagnoses of HTN, DM, and CAD defined by International Classification of Diseases 9th or 10th Revision Clinical Modification codes. Key Results After adjustment, severe traumatic injury was significantly associated with HTN (HR 2.78, 95% CI 2.18–3.55), DM (HR 4.45, 95% CI 2.15–9.18), and CAD (HR 4.87, 95% CI 2.11–11.25), compared with no injury. Less severe injury was associated with HTN (HR 1.14, 95% CI 1.05–1.24) and CAD (HR 1.62, 95% CI 1.11–2.37). Conclusions Severe traumatic injury is associated with the subsequent development of HTN, DM, and CAD. These findings have profound implications for the primary care of injured service members in both the DoD/VA health systems and may be applicable to civilian trauma patients as well. Further exploration of pathophysiologic, health behavior, and mental health changes after trauma is warranted to guide future intervention strategies.

Background While patients with substance use disorders (SUDs) are thought to encounter poor primary care experiences, the perspectives of patients with opioid use disorder (OUD), specifically, are unknown. This study compares the primary care experiences of patients with OUD, other SUDs and no SUD in the Veterans Health Administration. Methods The sample included Veterans who responded to the national Patient-Centered Medical Home Survey of Healthcare Experiences of Patients, 2013–2015. Respondents included 3554 patients with OUD, 36,175 with other SUDs, and 756,386 with no SUD; 742 OUD-diagnosed patients received buprenorphine. Multivariable multinomial logistic regressions estimated differences in the probability of reporting positive and negative experiences (0–100 scale) for patients with OUD, compared to patients with other SUDs and no SUD, and for OUD-diagnosed patients treated versus not treated with buprenorphine. Results Of all domains, patients with OUD reported the least positive experiences with access (31%) and medication decision-making (35%), and the most negative experiences with self-management support (35%) and provider communication (23%). Compared to the other groups, patients diagnosed with OUD reported fewer positive and/or more negative experiences with access, communication, office staff, provider ratings, comprehensiveness, care coordination, and self-management support (adjusted risk differences[aRDs] range from |2.9| to |7.0|). Among OUD-diagnosed patients, buprenorphine was associated with more positive experiences with comprehensiveness (aRD = 8.3) and self-management support (aRD = 7.1), and less negative experiences with care coordination (aRD = −4.9) and medication shared decision-making (aRD = −5.4). Conclusions In a national sample, patients diagnosed with OUD encounter less positive and more negative experiences than other primary care patients, including those with other SUDs. Buprenorphine treatment relates positively to experiences with care comprehensiveness, medication decisions, and care coordination. As stakeholders encourage more primary care providers to manage OUD, it will be important for healthcare systems to attend to patient access and experiences with care in these settings.

Objective Department of Veterans Affairs estimates of military sexual trauma (MST) suggest 27% of female veterans have experienced MST. However, Department of Defense data (Department of Defense, 2014) show that a subgroup of active-duty women do not report sexual assaults to a military authority, suggesting barriers to disclosure exist among military samples. No study of female veterans has examined rates of nondisclosure among those with previous screens for MST; these data could inform screening efforts and establishment of safe havens for candid disclosures. Method Using an explanatory sequential mixed-methods survey, a history of MST, and postservice MST disclosures during screening and their associations with demographic, assault, and screening-setting characteristics were evaluated in 359 female veterans. Open-ended responses regarding barriers to disclosure were analyzed using editing analysis style. Results Eighty-one percent (n = 289) reported MST. Of these, 50% (n = 143) reported a prior screening and 25% (n = 35) reported they did not disclose their true MST status. Veterans who experienced MST by a unit-member assailant were significantly less likely to disclose (adjusted odds ratio = 4.75, 95% confidence interval = 1.20-18.30). Disclosure barriers included stigma, experiential avoidance, and discomfort with the screening setting. Conclusion Creative interventions to reduce nondisclosure among female veterans, with specific attention to those assaulted by a unit member, are urgently needed. (PsycINFO Database Record

BACKGROUND Homeless patients describe poor experiences with primary care. In 2012, the Veterans Health Administration (VHA) implemented homeless-tailored primary care teams (Homeless Patient Aligned Care Team, HPACTs) that could improve the primary care experience for homeless patients. OBJECTIVE To assess differences in primary care experiences between homeless and nonhomeless Veterans receiving care in VHA facilities that had HPACTs available (HPACT facilities) and in VHA facilities lacking HPACTs (non-HPACT facilities). RESEARCH DESIGN We used multivariable multinomial regressions to estimate homeless versus nonhomeless patient differences in primary care experiences (categorized as negative/moderate/positive) reported on a national VHA survey. We compared the homeless versus nonhomeless risk differences (RDs) in reporting negative or positive experiences in 25 HPACT facilities versus 485 non-HPACT facilities. SUBJECTS Survey respondents from non-HPACT facilities (homeless: n=10,148; nonhomeless: n=309,779) and HPACT facilities (homeless: n=2022; nonhomeless: n=20,941). MEASURES Negative and positive experiences with access, communication, office staff, provider rating, comprehensiveness, coordination, shared decision-making, and self-management support. RESULTS In non-HPACT facilities, homeless patients reported more negative and fewer positive experiences than nonhomeless patients. However, these patterns of homeless versus nonhomeless differences were reversed in HPACT facilities for the domains of communication (positive experience RDs in non-HPACT versus HPACT facilities=-2.0 and 2.0, respectively); comprehensiveness (negative RDs=2.1 and -2.3), shared decision-making (negative RDs=1.2 and -1.8), and self-management support (negative RDs=0.1 and -4.5; positive RDs=0.5 and 8.0). CONCLUSIONS VHA facilities with HPACT programs appear to offer a better primary care experience for homeless versus nonhomeless Veterans, reversing the pattern of relatively poor primary care experiences often associated with homelessness.

Background Many dynamics in the relationship among military service-related disabilities, health care benefits, mental health disorders, and post-deployment homelessness among US Veterans are not well understood. Objectives Determine whether Veterans with a disability-related discharge from military service are at higher risk for homelessness, whether Veterans Health Administration (VHA) service-connected disability benefits mitigates that risk, and whether risks associated with discharge type, service-connected disability, or the interaction between them vary as a function of mental health disorders. Methods Retrospective cohort study of 364,997 Veterans with a disability-related or routine discharge and initial VHA encounter between 2005 and 2013. Logistic regression and survival analyses were used to estimate homelessness risk as a function of discharge status, mental health disorders, and receipt of VHA disability benefits. Results Disability-discharged Veterans had higher rates of homelessness compared to routine discharges (15.1 verses 9.1 per 1000 person-years at risk). At the time of the first VHA encounter, mental health disorders were associated with differentially greater risk for homelessness among Veterans with a disability discharge relative to those with a routine discharge. During the first year of VHA service usage, higher levels of disability benefits were protective against homelessness among routinely-discharged Veterans, but not among disability-discharged Veterans. By 5-years, disability discharge was a risk factor for homelessness (AOR = 1.30). Conclusions In the long-term, disability discharge is an independent risk factor for homelessness. While VHA disability benefits help mitigate homelessness risk among routinely-discharged Veterans during the early reintegration period, they may not offer sufficient protection for disability-discharged Veterans.

Background The effects of sexual trauma on long-term health care utilization and costs are not well understood due to infrequent documentation of sexual trauma history in health care systems. The Veteran's Health Administration provides a unique opportunity to address this constraint as sexual trauma is actively screened for as part of routine care. Methods We used a retrospective cohort design to analyze Veteran's Health Administration mental health and medical service utilization and costs as a function of a positive screen for exposure to military sexual trauma (MST) among Veterans of recent conflicts in Iraq and Afghanistan. We computed adjusted 5-year estimates of overall utilization and costs, and utilization and costs determined not to be related to MST. Results The cohort included 426,223 men and 59,611 women. A positive MST screen was associated with 50% higher health care utilization and costs relative to a negative screen. Overall, a positive relative to negative MST screen was associated with a 5-year incremental difference of 34.6 encounters and $10,734 among women, and 33.5 encounters and $11,484 among men. After accounting for MST-related treatment, positive MST screen was associated with 11.9 encounters and $4803 among women, and 19.5 encounters and $8001 among men. Conclusions Results demonstrate significant and consistent differences in health care utilization and costs between Veterans with a positive relative to negative MST screen. Even after accounting for MST-related care, a positive screen was associated with significantly higher utilization and costs. MST-related needs may be more readily recognized in women relative to men.

Veterans experiencing homelessness frequently use emergency and urgent care (ED).To examine the effect of a Patient-aligned Care Team (PACT) model tailored to the unique needs of Veterans experiencing homelessness (H-PACT) on frequency and type of ED visits in Veterans Health Administration (VHA) medical facilities.During a 12-month period, ED visits for 3981 homeless Veterans enrolled in (1) H-PACT at 20 VHA medical centers (enrolled) were compared with those of (2) 24,363 homeless Veterans not enrolled in H-PACT at the same sites (nonenrolled), and (3) 23,542 homeless Veterans at 12 non-H-PACT sites (usual care) using a difference-in-differences approach.The primary outcome was ED and other health care utilization and the secondary outcome was emergent (not preventable/avoidable) ED visits.H-PACT enrollees were predominantly white males with a higher baseline Charlson comorbidity index. In comparing H-PACT enrollees with usual care, there was a significant decrease in ED usage among the highest ED utilizers (difference-in-differences, -4.43; P0.001). The decrease in ED visits were significant though less intense for H-PACT enrollees versus nonenrolled (-0.29, P0.001). H-PACT enrollees demonstrated a significant increase in the proportion of ED care visits that were not preventable/avoidable in the 6 months after enrollment, but had stable rates of primary care, mental health, social work, and substance abuse visits over the 12 months.Primary care treatment engagement can reduce ED visits and increase appropriate use of ED services in VHA for Veterans experiencing homelessness, especially in the highest ED utilizers.

Objective To develop a natural language processing pipeline to extract positively asserted concepts related to the presence of an indwelling urinary catheter in hospitalized patients from the free text of the electronic medical note. The goal is to assist infection preventionists and other healthcare professionals in determining whether a patient has an indwelling urinary catheter when a catheter-associated urinary tract infection is suspected. Currently, data on indwelling urinary catheters is not consistently captured in the electronic medical record in structured format and thus cannot be reliably extracted for clinical and research purposes. Materials and methods We developed a lexicon of terms related to indwelling urinary catheters and urinary symptoms based on domain knowledge, prior experience in the field, and review of medical notes. A reference standard of 1595 randomly selected documents from inpatient admissions was annotated by human reviewers to identify all positively and negatively asserted concepts related to indwelling urinary catheters. We trained a natural language processing pipeline based on the V3NLP framework using 1050 documents and tested on 545 documents to determine agreement with the human reference standard. Metrics reported are positive predictive value and recall. Results The lexicon contained 590 terms related to the presence of an indwelling urinary catheter in various categories including insertion, care, change, and removal of urinary catheters and 67 terms for urinary symptoms. Nursing notes were the most frequent inpatient note titles in the reference standard document corpus; these also yielded the highest number of positively asserted concepts with respect to urinary catheters. Comparing the performance of the natural language processing pipeline against the human reference standard, the overall recall was 75% and positive predictive value was 99% on the training set; on the testing set, the recall was 72% and positive predictive value was 98%. The performance on extracting urinary symptoms (including fever) was high with recall and precision greater than 90%. Conclusions We have shown that it is possible to identify the presence of an indwelling urinary catheter and urinary symptoms from the free text of electronic medical notes from inpatients using natural language processing. These are two key steps in developing automated protocols to assist humans in large-scale review of patient charts for catheter-associated urinary tract infection. The challenges associated with extracting indwelling urinary catheter-related concepts also inform the design of electronic medical record templates to reliably and consistently capture data on indwelling urinary catheters.

Purpose Several risk factors have been identified in ongoing efforts by the US Department of Veterans Affairs (VA) to mitigate high rates of homelessness among veterans. To date, no studies have examined the relationship of rurality and distance to nearest VA facility to risk of homelessness. Due to challenges in accessing available services, the hypothesis was that rural-residing veterans are at greater risk for homelessness. The paper aims to discuss these issues. Design/methodology/approach The cohort consisted of veterans who had separated from the military between 2001 and 2011. The authors used a forwarding address provided by the service member at the time of separation from the military to determine rurality of residence and distance to care. The authors examined differences in the rate of homelessness within a year of a veteran’s first encounter with the VA following last military separation based on rurality and distance to the nearest VA facility using multivariable log-binomial regressions. Findings In the cohort of 708,318 veterans, 84.3 percent were determined to have a forwarding address in urban areas, 60.4 and 88.7 percent lived within 40 miles of the nearest VA medical center (VAMC), respectively. Veterans living in a rural area (RR=0.763; 95 percent CI=0.718-0.810) and those living between 20 and 40 miles (RR=0.893; 95 percent CI=0.846-0.943) and 40+ miles away from the nearest VAMC (RR=0.928; 95 percent CI=0.879-0.979) were at a lower risk for homelessness. Originality/value The unique data set allowed the authors to explore the relationship between geography and homelessness. These results are important to VA and national policy makers in understanding the risk factors for homelessness among veterans and planning interventions.

SUMMARYDuring the recent Ebola crisis in West Africa, individual person-level details of disease onset, transmissions, and outcomes such as survival or death were reported in online news media. We set out to document disease transmission chains for Ebola, with the goal of generating a timely account that could be used for surveillance, mathematical modeling, and public health decision-making. By accessing public web pages only, such as locally produced newspapers and blogs, we created a transmission chain involving two Ebola clusters in West Africa that compared favorably with other published transmission chains, and derived parameters for a mathematical model of Ebola disease transmission that were not statistically different from those derived from published sources. We present a protocol for responsibly gleaning epidemiological facts, transmission model parameters, and useful details from affected communities using mostly indigenously produced sources. After comparing our transmission parameters to published parameters, we discuss additional benefits of our method, such as gaining practical information about the affected community, its infrastructure, politics, and culture. We also briefly compare our method to similar efforts that used mostly non-indigenous online sources to generate epidemiological information.

Introduction Mental illness and substance use disorders among newly returned military service members pose challenges to successful reintegration into civilian life and, in extreme cases, may lead to outcomes such as incarceration, homelessness, and suicide. One potential early indicator for these difficulties is non-routine discharge from military service. Methods Using data from the Veterans Health Administration (VHA) for 443,360 active duty service Veterans who deployed to Afghanistan and Iraq and subsequently utilized VHA services between Fiscal Years 2004 and 2013, this study examined risk for receiving a VHA-documented diagnosis of mental illness, substance use disorders, and suicidality as a function of discharge type, controlling for demographic and military service covariates. Analyses were conducted in 2016. Results In total, 126,314 Veterans (28.5%) had a non-routine military service discharge. Compared with routinely discharged Veterans, odds for nearly all diagnostic outcomes were significantly greater among Veterans discharged for disqualification or misconduct, including personality disorders (AOR=9.21 and 3.29, respectively); bipolar/psychotic disorders (AOR=3.98 and 3.40); alcohol/substance use disorders (AOR=1.55 and 4.42); and suicidal ideation and behaviors (AOR=2.81 and 2.77). Disability-discharged Veterans had significantly higher odds for diagnoses of anxiety disorders (AOR=1.97) and bipolar/psychotic disorders (AOR=3.93). Conclusions Non-routine service discharge strongly predicts VHA-diagnosed mental illness, substance use disorders, and suicidality, with particularly elevated risk among Veterans discharged for disqualification or misconduct. Results emphasize the importance of discharge type as an early marker of adverse post-discharge outcomes, and suggest a need for targeted prevention and intervention efforts to improve reintegration outcomes among this vulnerable subpopulation.

Objective Evaluate the association of military sexual trauma (MST) screen status with eating disorder diagnoses among veterans within 1- and 5-years after initiating Veterans Health Administration (VHA) care, and whether the association varied by sex. Method Retrospective cohort study of US Afghanistan/Iraq veterans who used VHA services between FY 2004 and 2014 (N = 595,525). This study used VHA administrative data to assess the presence of eating disorder diagnoses in medical records within 1- and 5-years of initiating VHA care, and whether a positive screen for MST was associated with eating disorders. Results Three percent (n = 18,488) screened positive for MST. At 1- and 5-year follow up, 0.1% (n= 513, 74% female), and 0.2% (n = 504, 71% female) were diagnosed with an eating disorder, respectively. In regression models adjusted for demographic variables, military service, and psychiatric comorbidities, the presence of an eating disorder diagnosis was nearly two times higher among those with a positive screen for MST in the 1-year (adjusted odds ratio [AOR] = 1.94, 95% confidence interval [CI] = 1.57–2.40) and 5-year (AOR = 1.86, 95%CI = 1.49–2.32) cohorts. The increased likelihood conferred by MST for an eating disorder diagnosis was differentially stronger among male veterans than female veterans in the 1-year cohort only (AOR = 2.13, 95%CI = 1.01–4.50). Discussion Veterans with a positive screen for MST, especially male veterans, had a nearly two-fold increased likelihood of having an eating disorder diagnosis. Screening for eating disorders may be important in both male and female veterans who report MST.

Objective To determine whether persistent opioid use after injury is associated with subsequent long-term development of clinically recognized opioid abuse. Summary background data Opioid abuse is an epidemic in the United States and trauma can initiate persistent use; however, it remains unclear whether persistent opioid use contributes to the subsequent development of opioid abuse. The care of combat casualties by the Departments of Defense and Veterans Affairs uniquely allows investigation of this long-term outcome. Methods This retrospective cohort study randomly selected 10,000 battle-injured United States military personnel. We excluded patients who died during initial hospitalization or within 180 days of discharge, had a preinjury opioid abuse diagnosis, or had missing data in a preselected variable. We defined persistent opioid use as filling an opioid prescription 3 to 6 months after discharge and recorded clinically recognized opioid abuse using relevant diagnosis codes. Results After exclusion, 9284 subjects were analyzed, 2167 (23.3%) of whom developed persistent opioid use. During a median follow-up time of 8 years, 631 (6.8%) patients developed clinically recognized opioid abuse with a median time to diagnosis of 3 years. Injury severity and discharge opioid prescription amount were associated with persistent opioid use after trauma. After adjusting for patient and injury-specific factors, persistent opioid use was associated with the long-term development of clinically recognized opioid abuse (adjusted hazard ratio, 2.39; 95% confidence interval, 1.99-2.86). Conclusions Nearly a quarter of patients filled an opioid prescription 3 to 6 months after discharge, and this persistent use was associated with long-term development of opioid abuse.

Background Despite national screening efforts, military sexual trauma (MST) is underreported. Little is known of racial/ethnic differences in MST reporting in the Veterans Health Administration (VHA). Objective This study aimed to compare patterns of MST disclosure in VHA by race/ethnicity. Research design Retrospective cohort study of MST disclosures in a national, random sample of Veterans who served in Afghanistan and Iraq and completed MST screens from October 2009 to 2014. We used natural language processing (NLP) to extract MST concepts from electronic medical notes in the year following Veterans' first MST screen. Measure(s) Any evidence of MST (positive MST screen or NLP concepts) and late MST disclosure (NLP concepts following a negative MST screen). Multivariable logistic regressions, stratified by sex, tested racial/ethnic differences in any MST evidence, and late disclosure. Results Of 6618 male and 6716 female Veterans with MST screen results, 1473 had a positive screen (68 male, 1%; 1405 female, 21%). Of those with a negative screen, 257 evidenced late MST disclosure by NLP (44 male, 39%; 213 female, 13%). Late MST disclosure was usually documented during mental health visits. There were no significant racial/ethnic differences in MST disclosure among men. Among women, blacks were less likely than whites to have any MST evidence (adjusted odds ratio=0.75). In the subsample with any MST evidence, black and Hispanic women were more likely than whites to disclose MST late (adjusted odds ratio=1.89 and 1.59, respectively). Conclusions Combining NLP results with MST screen data facilitated the identification of under-reported sexual trauma experiences among men and racial/ethnic minority women.

Background In 2012, select Veterans Health Administration (VHA) facilities implemented a homeless-tailored medical home model, called Homeless Patient Aligned Care Teams (H-PACT), to improve care processes and outcomes for homeless Veterans. Objective The main aim of this study was to determine whether H-PACT offers a better patient experience than standard VHA primary care. Research design We used multivariable logistic regressions to estimate differences in the probability of reporting positive primary care experiences on a national survey. Subjects Homeless-experienced survey respondents enrolled in H-PACT (n=251) or standard primary care in facilities with H-PACT available (n=1527) and facilities without H-PACT (n=10,079). Measures Patient experiences in 8 domains from the Consumer Assessment of Healthcare Provider and Systems surveys. Domain scores were categorized as positive versus nonpositive. Results H-PACT patients were less likely than standard primary care patients to be female, have 4-year college degrees, or to have served in recent military conflicts; they received more primary care visits and social services. H-PACT patients were more likely than standard primary care patients in the same facilities to report positive experiences with access [adjusted risk difference (RD)=17.4], communication (RD=13.9), office staff (RD=13.1), provider ratings (RD=11.0), and comprehensiveness (RD=9.3). Standard primary care patients in facilities with H-PACT available were more likely than those from facilities without H-PACT to report positive experiences with communication (RD=4.7) and self-management support (RD=4.6). Conclusions Patient-centered medical homes designed to address the social determinants of health offer a better care experience for homeless patients, when compared with standard primary care approaches. The lessons learned from H-PACT can be applied throughout VHA and to other health care settings.

Purpose Posttraumatic stress disorder (PTSD), depressive disorders (DD), and substance use disorders (SUD) are prevalent among veterans. A positive military sexual trauma (MST) screen is associated with higher likelihood of each of these disorders. The current study examined the associations between MST, gender, and co-occurring PTSD, DD, and SUD among veterans receiving services at the Department of Veterans Affairs to inform assessment and treatment. We were specifically interested in the interactions between MST and gender on co-occurring disorders. Methods The sample included 494,822 Department of Veterans Affairs service–seeking veterans (12.5% women) deployed to Iraq and Afghanistan who recently separated from the military and were screened for MST between 2004 and 2013. Main Findings Veterans with positive MST screens had higher odds than those with negative screens of individual and co-occurring PTSD, DD, and SUD. The association between positive MST screens and diagnostic outcomes, including PTSD, was stronger for women than for men, and the association between positive MST screens and some diagnostic outcomes, including DD, was stronger for men than for women. Conclusions These results highlight the importance of assessing for and recognizing the potential MST and gender interactions in the clinical context among veterans with co-occurring PTSD, DD, and/or SUD.

Catheter-associated urinary tract infection (CAUTI) surveillance is labor intensive, generally involving manual medical record review. We developed a prototype automated report through iterative design. Surveys and qualitative interviews were administered to key stakeholders to assess the report design. We found that different provider types expressed different needs regarding report content and format. Therefore, determining the primary audience for reporting data on CAUTI a priori is critical to developing useful reports, particularly as this process becomes standardized and automated.

Importance Conventional approaches for tracking postoperative adverse events requires manual medical record review, thus limiting the scalability of such efforts. Objective To determine if a surveillance system using computerized provider order entry (CPOE) events for selected medications as well as laboratory, microbiologic, and radiologic orders can decrease the manual medical record review burden for surveillance of postoperative complications. Design, Setting, and Participants This cohort study reviewed the medical records of 21 775 patients who underwent surgical procedures at a university-based tertiary referral center (University of Utah, Salt Lake City) from July 1, 2007, to August 31, 2017. Patients were included if their case was selected for review by a surgical clinical reviewer as part of the National Surgical Quality Improvement Program. Patients were excluded if they had incomplete follow-up data. Main Outcomes and Measures Thirty-day postoperative occurrences of superficial surgical site infection, deep surgical site infection, organ space surgical site infection, urinary tract infection, pneumonia, sepsis, septic shock, deep vein thrombosis requiring therapy, and pulmonary embolism, as defined by the National Surgical Quality Improvement Program. A logistic regression model was developed for each postoperative complication using CPOE features as predictors on a development set, and performance was measured on a holdout internal validation set. The models were internally validated using bootstrapping with 10 000 replications to determine the sensitivity, specificity, positive predictive value, and negative predictive value of CPOE-based surveillance system. Results The study included 21 775 patients who underwent surgical procedures. Among these patients, 11 855 (54.4%) were women and 9920 (45.6%) were men, with a mean (SD) age of 51.7 (16.8) years. Overall, the prevalence of postoperative complications was low, ranging from 0.2% (pulmonary embolism) to 2.6% (superficial surgical site infection). Use of CPOE events to detect patients who experienced at least 1 complication had a sensitivity of 74.8% (95% CI, 71.1%-78.4%), specificity of 86.8% (95% CI, 85.5%-88.3%), positive predictive value of 33.8% (95% CI, 31.2%-36.4%), negative predictive value of 97.5% (95% CI, 97.1%-97.8%), and area under the curve of 0.808 (95% CI, 0.791-0.824). The negative predictive value for individual complications ranged from 98.7% to 100%. Use of CPOE events to screen for adverse events was estimated to diminish the burden of manual medical record review by 55.4% to 90.3%. A CPOE-based surveillance system performed well for both inpatient and outpatient procedures. Conclusions and Relevance A CPOE-based surveillance of postoperative complications has high negative predictive value, which demonstrates that this approach can augment the currently used, resource-intensive manual medical record review process.

Reproductive-age women are a fast-growing component of active-duty military personnel who experience deployment and combat more frequently than previous service-era women Veterans. With the expansion of the number of women and their roles, the United States Departments of Defense and Veterans Affairs have prioritized development and integration of reproductive services into their health systems. Thus, understanding associations between deployments or combat exposures and short- or long-term adverse reproductive health outcomes is imperative for policy and programmatic development. Servicewomen and women Veterans may access reproductive services across civilian and military or Veteran systems and providers, increasing the need for awareness and communication regarding deployment experiences with a broad array of providers. An example is the high prevalence of military sexual trauma reported by women Veterans and the associated mental health diagnoses that may lead to a lifetime of high risk-coping behaviors that increase reproductive health risks, such as sexually transmitted infections, unintended pregnancies, and others. Care coordination models that integrate reproductive healthcare needs, especially during vulnerable times such as at the time of military separation and in the immediate postdeployment phase, may identify risk factors for early intervention with the potential to mitigate lifelong risks.

Veterans who are discharged from military service due to misconduct are vulnerable to negative health-related outcomes, including homelessness, incarceration, and suicide. We used national data from the Veterans Health Administration for 218,608 veterans of conflicts in Iraq and Afghanistan that took place after the events of September 11, 2001, to compare clinical diagnoses between routinely-discharged (n = 203,174) and misconduct-discharged (n = 15,433) veterans. Misconduct-discharged veterans had significantly higher risk for all mental health conditions (adjusted odds ratio [AOR] range, 2.5-8.0) and several behaviorally linked chronic health conditions (AOR range, 1.2-5.9). Misconduct-discharged veterans have serious and complex health care needs; prevention efforts should focus on behavioral risk factors to prevent the development and exacerbation of chronic health conditions among this vulnerable population.

Background In 2012, the US Food and Drug Administration (FDA) required drug manufacturers to give advance notice of impending drug shortages. A survey of infectious diseases (ID) physicians was undertaken to determine the impact of this requirement and to follow-up on prior perceptions of ID physicians on shortages of antimicrobial agents. Methods We used a web-based survey of ID physician members of the Emerging Infections Network in 2016. Results Of the 701 of 1597 members (44%) who responded, 70% reported the need to modify their antimicrobial choice because of a shortage in the prior 2 years. A majority (73%) reported the shortages affected patient care or outcomes by the use of broader-spectrum (75%), more costly (58%), less effective second-line (45%), or more toxic agents (37%). The most commonly reported antimicrobials in short supply were piperacillin-tazobactam, ampicillin-sulbactam, meropenem, cefotaxime, and cefepime. Respondents learned of shortages from hospital notification, from a colleague, contact from pharmacy after ordering the agent in short supply, or FDA or other website. The antimicrobial stewardship programs (ASPs) of a majority (83%) of respondents’ institutions had developed approaches to deal with shortages. Although 71% indicated that communications were sufficient, most (87%) did not perceive any improvement in communications about shortages since the 2012 FDA requirement. Conclusions The persistence of antimicrobial agent shortages reported by ID physicians is disturbing as is the resulting need to use broader-spectrum or more toxic agents. The prominent role of ASPs in helping to deal with shortages, effective communication channels, and the lack of perceived improvement in FDA’s communication strategy merit further consideration.

Introduction Veterans are overrepresented in the U.S. homeless population, comprising 8.6% of the general U.S. population, but 14% of the homeless population. Homeless veterans have several risk factors for eating disorder diagnoses, but the association of homelessness and eating disorders in this population is understudied. Given limited access to adequate food given their diminished resources, it is critical to better understand risk for eating disorders as a function of homelessness. Materials and methods Administrative data on homelessness, eating disorder diagnoses, and related comorbidities occurring within the first 5 years of Veterans Health Administration (VHA) healthcare utilization between 2004 and 2014 in 265,806 Iraq/Afghanistan veterans were extracted from VHA medical records. Logistic regression analysis estimated the risk for eating disorders as a function of homelessness while accounting for demographic, military, and mental health covariates. Results Homelessness was observed in 11,876 veterans (4.5%), and of these, 71 (0.6%) had an eating disorder diagnosis. Odds of having an eating disorder diagnosis were 59% higher (adjusted odds ratio = 1.59, 95% confidence interval [1.21-2.09]) among homeless veterans relative to domiciled veterans. Conclusions A diagnosis of eating disorders in veterans is rare at the VHA, however, the current study found that homelessness may increase risk for eating disorders in this population. Unique strategies to provide evidenced-based care while accounting for inadequate daily resources are needed to reduce the risk of eating disorders in this population.

SummaryIntroduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Big Data and Analytics in Healthcare”.Objectives: This paper describes the scale-up efforts at the VA Salt Lake City Health Care System to address processing large corpora of clinical notes through a natural language processing (NLP) pipeline. The use case described is a current project focused on detecting the presence of an indwelling uri-nary catheter in hospitalized patients and subsequent catheter-associated urinary tract infections.Methods: An NLP algorithm using v3NLP was developed to detect the presence of an indwelling urinary catheter in hospitalized patients. The algorithm was tested on a small corpus of notes on patients for whom the presence or absence of a catheter was already known (reference standard). In planning for a scale-up, we estimated that the original algorithm would have taken 2.4 days to run on a larger corpus of notes for this project (550,000 notes), and 27 days for a corpus of 6 million records representative of a national sample of notes. We approached scaling-up NLP pipelines through three techniques: pipeline replication via multi-threading, intra-annotator threading for tasks that can be further decomposed, and remote annotator services which enable annotator scale-out.Results: The scale-up resulted in reducing the average time to process a record from 206 milliseconds to 17 milliseconds or a 12-fold increase in performance when applied to a corpus of 550,000 notes.Conclusions: Purposely simplistic in nature, these scale-up efforts are the straight forward evolution from small scale NLP processing to larger scale extraction without incurring associated complexities that are inherited by the use of the underlying UIMA framework. These efforts represent generalizable and widely applicable techniques that will aid other computationally complex NLP pipelines that are of need to be scaled out for processing and analyzing big data.

SummaryBackground: In 1962, Methods of Information in Medicine (MIM) began to publish papers on the methodology and scientific fundamentals of organizing, representing, and analyzing data, information, and knowledge in biomedicine and health care. Considered a companion journal, Applied Clinical Informatics (ACI) was launched in 2009 with a mission to establish a platform that allows sharing of knowledge between clinical medicine and health IT specialists as well as to bridge gaps between visionary design and successful and pragmatic deployment of clinical information systems. Both journals are official journals of the International Medical Informatics Association.Objectives: As a follow-up to prior work, we set out to explore congruencies and interdependencies in publications of ACI and MIM. The objectives were to describe the major topics discussed in articles published in ACI in 2014 and to determine if there was evidence that theory in 2014 MIM publications was informed by practice described in ACI publications in any year. We also set out to describe lessons learned in the context of bridging informatics practice and theory and offer opinions on how ACI editorial policies could evolve to foster and improve such bridging.Methods: We conducted a retrospective observational study and reviewed all articles published in ACI during the calendar year 2014 (Volume 5) for their main theme, conclusions, and key words. We then reviewed the citations of all MIM papers from 2014 to determine if there were references to ACI articles from any year. Lessons learned in the context of bridging informatics practice and theory and opinions on ACI editorial policies were developed by consensus among the two authors.Results: A total of 70 articles were published in ACI in 2014. Clinical decision support, clinical documentation, usability, Meaningful Use, health information exchange, patient portals, and clinical research informatics emerged as major themes. Only one MIM article from 2014 cited an ACI article. There are several lessons learned including the possibility that there may not be direct links between MIM theory and ACI practice articles. ACI editorial policies will continue to evolve to reflect the breadth and depth of the practice of clinical informatics and articles received for publication. Efforts to encourage bridging of informatics practice and theory may be considered by the ACI editors.Conclusions: The lack of direct links from informatics theory-based papers published in MIM in 2014 to papers published in ACI continues as was described for papers published during 2012 to 2013 in the two companion journals. Thus, there is little evidence that theory in MIM has been informed by practice in ACI.

US women Veterans are at increased risk of homelessness and chronic health conditions associated with unintended pregnancy. Veterans Health Administration (VHA) provision of long-acting reversible contraception (LARC) can assist in healthy pregnancy planning.To evaluate perinatal risk factors and LARC exposure in ever-homeless women Veterans.A retrospective cohort study of women Veterans using VHA administrative data from fiscal years 2002-2015.We included 41,747 ever-homeless women Veterans age 18-44 years and 46,391 housed women Veterans matched by military service period. A subgroup of 7773 ever-homeless and 8674 matched housed women Veterans deployed in Iraq and Afghanistan [Operations Enduring Freedom/Iraqi Freedom/New Dawn (OEF/OIF/OND)] conflicts comprised a second analytic cohort.Descriptive statistics compared demographic, military, health conditions, and LARC exposure in ever-homeless versus housed women Veterans. Multivariable logistic regression explored factors associated with LARC exposure in the OEF/OIF/OND subgroup.All health conditions were significantly higher in ever-homeless versus housed Veterans: mental health disorder in 84.5% versus 48.7% (P0.001), substance abuse in 35.8% versus 8.6% (P0.001), and medical conditions in 74.7% versus 55.6% (P0.001). LARC exposure among all VHA users was 9.3% in ever-homeless Veterans versus 5.4% in housed Veterans (P0.001). LARC exposure in the OEF/OIF/OND cohort was 14.1% in ever-homeless Veterans versus 8.2% in housed Veterans (P0.001). In the OEF/OIF/OND cohort, homelessness along Veterans with medical and mental health indicators were leading LARC exposure predictors.The VHA is successfully engaging homeless women Veterans and providing LARC access. The prevalence of perinatal risk factors in ever-homeless women Veterans highlights a need for further programmatic enhancements to improve reproductive planning.

Background Surveillance is an effective strategy for reducing surgical site infections (SSIs); however, current identification methods are resource-intensive. Therefore, we sought to validate an electronic SSI triaging tool for detection of probable infections and identify operational barriers and challenges. Methods A retrospective cohort study was conducted among all Veterans Affairs Surgical Quality Improvement Program (VASQIP)–reviewed surgeries at 2 Veterans Affairs medical centers from October 1, 2011-September 30, 2014. During the postoperative period, clinical and administrative variables associated with SSI (relevant microbiology order, antibiotic order, radiology order, and administrative codes) were extracted from the electronic medical record and used to score the probability (high, intermediate, and low) that an SSI occurred. VASQIP manual chart review was used as the gold standard of comparison. Results VASQIP manual review identified 118 SSIs out of 3,700 surgeries (3.2%). There were 2,041, 1,428, and 231 surgeries that met criteria for low, intermediate, and high probability for SSI. The tool's area under the curve was 0.86 (95% confidence interval, 0.82-0.89). The sensitivity among low-probability surgeries was 92.4%, and the specificity among high-probability surgeries was 95.1%. Conclusions The electronic SSI tool has the potential to be used for triaging VASQIP surveillance toward the high-probability surgeries and to avoid manual review of surgeries with low probability of SSI.