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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: Most studies on health disparities during COVID-19 pandemic focused on reported cases and deaths and were limited in capturing disparities in true infection rates or the impact of social determinants of health. This nationwide study aimed to examine SARS-CoV-2 (the virus that causes COVID-19) antibody seroprevalence in the U.S. and its associations with rurality and social vulnerability over time. Methods: This repeated cross-sectional study used data from blood donations made July 2020 - June 2021 in 50 states and Washington, D.C. Donor ZIP codes were matched to counties and linked with Social Vulnerability Index (SVI) and urban-rural classification. SARS-CoV-2 antibody seroprevalences induced by infection and infection-vaccination combined were estimated. Association of infection-induced seropositivity with demographics, rurality, SVI, and its four themes were quantified using stratified analyses and multivariate regression models. Findings: Weighted seroprevalence differed significantly by race/ethnicity, age, rurality, and social vulnerability with distinct temporal trends. From July 2020 to June 2021, infection-induced seroprevalence increased from 1.6% to 27.2% in rural counties and from 3.7% to 20.0% in urban counties. However, in June 2021, the combined infection- and vaccination-induced seroprevalence in rural counties was lower (80.0% vs. 88.1%). Adjusting for covariates, higher infection-induced seropositivity was associated with being Hispanic and non-Hispanic Black, younger, and living in rural or higher socially vulnerable counties. Interpretation: The findings demonstrated continuously increasing SARS-CoV-2 seroprevalence in the U.S. across all geographic, demographic, and social sectors. Infection-induced seroprevalence rates were consistently higher among Hispanic and non-Hispanic Black donors, and those from rural or socially vulnerable counties. Vaccine-induced seroprevalence was lower in rural counties than urban counties. The findings illustrated disparities in SARS-CoV-2 infections in the U.S. independent of case-based surveillance and testing availability, identified areas for targeted vaccination strategies, and can inform efforts to reduce inequities and prepare for future outbreaks. Funding Information: This analysis did not have external funding sources Declaration of Interests: All coauthors declare no conflict of interests. Ethics Approval Statement: The study was approved by CDC as non-research public health surveillance based on anonymization of data and routine consent for blood donation testing that includes use of residual samples for research purposes. The study does not require human-subject research review nor clearance by the Office of Management and Budget and was conducted consistent with applicable federal law and CDC policy.

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.

Surgical Site Infection surveillance in healthcare systems is labor intensive and plagued by underreporting as current methodology relies heavily on manual chart review. The rapid adoption of electronic health records (EHRs) has the potential to allow the secondary use of EHR data for quality surveillance programs. This study aims to investigate the effectiveness of integrating natural language processing (NLP) outputs with structured EHR data to build machine learning models for SSI identification using real-world clinical data. We examined a set of models using structured data with and without NLP document-level, mention-level, and keyword features. The top-performing model was based on a Random Forest classifier enhanced with NLP document-level features achieving a 0.58 sensitivity, 0.97 specificity, 0.54 PPV, 0.98 NPV, and 0.52 F(0.5) score. We further interrogated the feature contributions, analyzed the errors, and discussed future directions.

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.

Importance People who have been infected with or vaccinated against SARS-CoV-2 have reduced risk of subsequent infection, but the proportion of people in the US with SARS-CoV-2 antibodies from infection or vaccination is uncertain. Objective To estimate trends in SARS-CoV-2 seroprevalence related to infection and vaccination in the US population. Design, Setting, and Participants In a repeated cross-sectional study conducted each month during July 2020 through May 2021, 17 blood collection organizations with blood donations from all 50 US states; Washington, DC; and Puerto Rico were organized into 66 study-specific regions, representing a catchment of 74% of the US population. For each study region, specimens from a median of approximately 2000 blood donors were selected and tested each month; a total of 1 594 363 specimens were initially selected and tested. The final date of blood donation collection was May 31, 2021. Exposure Calendar time. Main Outcomes and Measures Proportion of persons with detectable SARS-CoV-2 spike and nucleocapsid antibodies. Seroprevalence was weighted for demographic differences between the blood donor sample and general population. Infection-induced seroprevalence was defined as the prevalence of the population with both spike and nucleocapsid antibodies. Combined infection- and vaccination-induced seroprevalence was defined as the prevalence of the population with spike antibodies. The seroprevalence estimates were compared with cumulative COVID-19 case report incidence rates. Results Among 1 443 519 specimens included, 733 052 (50.8%) were from women, 174 842 (12.1%) were from persons aged 16 to 29 years, 292 258 (20.2%) were from persons aged 65 years and older, 36 654 (2.5%) were from non-Hispanic Black persons, and 88 773 (6.1%) were from Hispanic persons. The overall infection-induced SARS-CoV-2 seroprevalence estimate increased from 3.5% (95% CI, 3.2%-3.8%) in July 2020 to 20.2% (95% CI, 19.9%-20.6%) in May 2021; the combined infection- and vaccination-induced seroprevalence estimate in May 2021 was 83.3% (95% CI, 82.9%-83.7%). By May 2021, 2.1 SARS-CoV-2 infections (95% CI, 2.0-2.1) per reported COVID-19 case were estimated to have occurred. Conclusions and Relevance Based on a sample of blood donations in the US from July 2020 through May 2021, vaccine- and infection-induced SARS-CoV-2 seroprevalence increased over time and varied by age, race and ethnicity, and geographic region. Despite weighting to adjust for demographic differences, these findings from a national sample of blood donors may not be representative of the entire US population.

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.

Objectives To compare the sociodemographic characteristics of participants in a contraceptive initiative by housing security and determine the association between housing insecurity on contraceptive method selection before and after the removal of cost. Study design This cross-sectional assessment includes 4,327 reproductive-aged participants in the HER Salt Lake Contraceptive Initiative who sought new contraceptive services and reported housing status at enrollment. HER Salt Lake prospectively explored the impact of improved contraceptive access on socioeconomic outcomes in Salt Lake County (USA). For six months (September 2015–March 2016) we collected control data, which included clinic standard-of-care cost-sharing. The intervention started March 2016, and provided no-cost contraception services and unlimited opportunities for method switching over the subsequent three years. Results There were 964 (22%) housing-insecure participants. Compared to those with stable housing, housing-insecure individuals more commonly identified as a sexual minority, received public assistance and lacked health insurance. Housing-insecure women preferentially selected long-acting reversible contraception during the control period (aOR 1.60; 95%CI 1.01–2.56), but method selection equalized across housing status during the intervention. Conclusions When cost is not a barrier, all women desire a comprehensive selection of contraceptive methods, regardless of housing security. Contraceptive clients in this vulnerable population need interventions which address access barriers to all methods to support reproductive planning. Implications Unintended pregnancy during housing insecurity may result in homelessness. This study found housing-insecure women desire access to all contraceptive methods, not just long acting reversible contraception. Integration of comprehensive family planning initiatives into efforts to address homelessness is essential to support this vulnerable population in their reproductive planning.

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.

This cohort study examines the association of temporary financial assistance with housing stability among US veterans who are homeless or at risk for homelessness., Key Points Question Is temporary financial assistance (TFA) associated with improved housing outcomes among US veterans experiencing housing instability? Findings In this cohort study of 41 969 veterans enrolled in the Supportive Services for Veteran Families program, veterans who received TFA were significantly more likely than those who did not receive TFA to exit the program with a stable housing destination. Meaning Results of this study suggest that short-term financial assistance for housing-related expenses may be a useful tool for addressing homelessness., Importance Temporary financial assistance (TFA) for housing-related expenses is a key component of interventions to prevent homelessness or to quickly house those who have become homeless. Through the US Department of Veterans Affairs (VA) Supportive Services for Veteran Families (SSVF) program, the department provides TFA to veterans in need of housing assistance. Objective To assess the association between TFA and housing stability among US veterans enrolled in the SSVF program. Design, Setting, and Participants This retrospective cohort study analyzed data on veterans who were enrolled in the SSVF program at 1 of 203 partner organizations in 49 US states and territories. Some veterans had repeat SSVF episodes, but only the first episodes were included in this analysis. An episode was defined as the period between entry into and exit from the program occurring between October 1, 2015, and September 30, 2018. Exposures Receipt of TFA. Main Outcomes and Measures The main outcome was stable housing, defined as permanent, independent residence with payment by the program client or housing subsidy after exit from the SSVF program. Covariates included demographic characteristics, monthly income and source, public benefits, health insurance, use of other VA programs for homelessness, comorbidities, and geographic location. Multivariable mixed-effects logistic regression, inverse probability of treatment weighting, and instrumental variable approaches were used. Results The overall cohort consisted of 41 969 veterans enrolled in the SSVF program, of whom 29 184 (mean [SD] age, 50.4 [12.9] years; 25 396 men [87.0%]) received TFA and 12 785 (mean [SD] age, 50.0 [13.3] years; 11 229 men [87.8%]) did not receive TFA. The mean (SD) duration of SSVF episodes was 90.5 (57.7) days. A total of 69.5% of SSVF episodes involved receipt of TFA, and the mean (SD) amount of TFA was $6070 ($7272). Stable housing was obtained in 81.4% of the episodes. Compared with those who did not receive TFA, veterans who received TFA were significantly more likely to have stable housing outcomes (risk difference, 0.253; 95% CI, 0.240-0.265). An association between the amount of TFA received and stable housing was also found, with risk differences ranging from 0.168 (95% CI, 0.149-0.188) for those who received $0 to $2000 in TFA to 0.226 (95% CI, 0.203-0.249) for those who received more than $2000 to $4000 in TFA. Conclusions and Relevance This study found that receipt of TFA through the SSVF program was associated with increased rates of stable housing. These results may inform national policy debates regarding the optimal solutions to prevent and reduce housing instability.

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.

Display Omitted Challenge: classify patient reported symptoms to organ systems for population health and epidemiological analyses.Concepts representing physical and mental signs and symptoms are not easily identified from the UMLS.Presenting a method for extracting concepts representing physical and mental signs and symptoms from the UMLS.The presented method also maps the extracted concepts to the anatomically related organ systems.Result: Nearly 91,000 concepts (approximately 300,000 descriptions) were extracted and mapped. ObjectiveTo develop a method to exploit the UMLS Metathesaurus for extracting and categorizing concepts found in clinical text representing signs and symptoms to anatomically related organ systems. The overarching goal is to classify patient reported symptoms to organ systems for population health and epidemiological analyses. Materials and methodsUsing the concepts semantic types and the inter-concept relationships as guidance, a selective portion of the concepts within the UMLS Metathesaurus was traversed starting from the concepts representing the highest level organ systems. The traversed concepts were chosen, filtered, and reviewed to obtain the concepts representing clinical signs and symptoms by blocking deviations, pruning superfluous concepts, and manual review. The mapping process was applied to signs and symptoms annotated in a corpus of 750 clinical notes. ResultsThe mapping process yielded a total of 91,000 UMLS concepts (with approximately 300,000 descriptions) possibly representing physical and mental signs and symptoms that were extracted and categorized to the anatomically related organ systems. Of 1864 distinct descriptions of signs and symptoms found in the 750 document corpus, 1635 of these (88%) were successfully mapped to the set of concepts extracted from the UMLS. Of 668 unique concepts mapped, 603 (90%) were correctly categorized to their organ systems. ConclusionWe present a process that facilitates mapping of signs and symptoms to their organ systems. By providing a smaller set of UMLS concepts to use for comparing and matching patient records, this method has the potential to increase efficiency of information extraction pipelines.

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.

This survey study examines the prevalence of and risk factors associated with nonfatal drug or alcohol overdose among veterans who have experienced homelessness., Key Points Question How common is nonfatal overdose among veterans who have experienced homelessness, and what are the risk factors and substances involved in overdoses? Findings In this survey study including 5766 veterans nationwide who have experienced homelessness, 7.4% of veterans reported an overdose in the previous 3 years. Among veterans reporting overdose, alcohol was the most commonly involved substance. Meaning These findings suggest that nonfatal overdose is a relatively common issue among veterans who have experienced homelessness and one that warrants additional attention., Importance Individuals with a history of homelessness are at increased risk for drug or alcohol overdose, although the proportion who have had recent nonfatal overdose is unknown. Understanding risk factors associated with nonfatal overdose could guide efforts to prevent fatal overdose. Objectives To determine the prevalence of recent overdose and the individual contributions of drugs and alcohol to overdose and to identify characteristics associated with overdose among veterans who have experienced homelessness. Design, Setting, and Participants This survey study was conducted from November 15, 2017, to October 1, 2018, via mailed surveys with telephone follow-up for nonrespondents. Eligible participants were selected from the records of 26 US Department of Veterans Affairs medical centers and included veterans who had received primary care at 1 of these Veterans Affairs medical centers and had a history of experiencing homelessness according to administrative data. Preliminary analyses were conducted in October 2018, and final analyses were conducted in January 2020. Main Outcomes and Measures Self-report of overdose (such that emergent medical care was obtained) in the previous 3 years and substances used during the most recent overdose. All percentages are weighted according to propensity to respond to the survey, modeled from clinical characteristics obtained in electronic health records. Results A total of 5766 veterans completed the survey (completion rate, 40.2%), and data on overdose were available for 5694 veterans. After adjusting for the propensity to respond to the survey, the mean (SD) age was 56.4 (18.3) years; 5100 veterans (91.6%) were men, 2225 veterans (38.1%) were black, and 2345 veterans (40.7%) were white. A total of 379 veterans (7.4%) reported any overdose during the past 3 years; 228 veterans (4.6%) reported overdose involving drugs, including 83 veterans (1.7%) who reported overdose involving opioids. Overdose involving alcohol was reported by 192 veterans (3.7%). In multivariable analyses, white race (odds ratio, 2.44 [95% CI, 2.00-2.98]), self-reporting a drug problem (odds ratio, 1.66 [95% CI, 1.39-1.98]) or alcohol problem (odds ratio, 2.54 [95% CI, 2.16-2.99]), and having witnessed someone else overdose (odds ratio, 2.34 [95% CI, 1.98-2.76]) were associated with increased risk of overdose. Conclusions and Relevance These findings suggest that nonfatal overdose is relatively common among veterans who have experienced homelessness. While overdose involving alcohol was more common than any specific drug, 1.7% of veterans reported overdose involving opioids. Improving access to addiction treatment for veterans who are experiencing homelessness or who are recently housed, especially for those who have experienced or witnessed overdose, could help to protect this population.

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.

The Veterans Healthcare Administration (VHA) is developing a civilian referral system to address specialty access issues to VHA healthcare. Homeless women Veterans may not have the resources to navigate referral systems when travel to VHA Medical Centers (VAMCs) is limited, especially for family planning needs. Recent Texas legislation restricted funding to civilian, publically-funded family planning clinics, limiting comprehensive services. This study’s goal was to assess geographic availability of VAMCs and family planning clinics for homeless Texan women Veterans. We identified 3,246 Texan women Veterans, age 18-44y with administrative homelessness evidence anytime between 2002-2015. Significant clusters of homeless women Veterans were near VHA facilities, yet mean travel distance was 24.1 miles (range 0-239) to nearest family planning clinic compared to 82.6 miles (range 0.8316.4) to nearest VAMC. Community clinics need ongoing civilian funding support if the VHA is to rely on their geographic availability as a safety net for vulnerable Veterans.

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.

Patient history of sexual trauma is of clinical relevance to healthcare providers as survivors face adverse health-related outcomes. This paper describes a method for identifying mentions of sexual trauma within the free text of electronic medical notes. A natural language processing pipeline for information extraction was developed and scaled to handle a large corpus of electronic medical notes used for this study from US Veterans Health Administration medical facilities. The tool was used to identify sexual trauma mentions and create snippets around every asserted mention based on a domain-specific lexicon developed for this purpose. All snippets were evaluated by trained human reviewers. An overall positive predictive value (PPV) of 0.90 for identifying sexual trauma mentions from the free text and a PPV of 0.71 at the patient level are reported. The metrics are superior for records from female patients.

There is need for cataloging signs and symptoms, but not all are documented in structured data. The text from clinical records are an additional source of signs and symptoms. We describe a Natural Language Processing (NLP) technique to identify symptoms from text. Using a human-annotated reference corpus from VA electronic medical notes we trained and tested an NLP pipeline to identify and categorize symptoms. The technique includes a model created from an automatic machine learning model selection tool. Tested on a hold-out set, its precision at the mention level was 0.80, recall 0.74 and an overall f-score of 0.80. The tool was scaled-up to process a large corpus of 964,105 patient records.

SummaryIn March 2013 the first cases of human avian influenza A(H7N9) were reported to the World Health Organization. Since that time, over 650 cases have been reported. Infections are associated with considerable morbidity and mortality, particularly within certain demographic groups. This rapid increase in cases over a brief time period is alarming and has raised concerns about the pandemic potential of the H7N9 virus. Three major factors influence the pandemic potential of an influenza virus: (1) its ability to cause human disease, (2) the immunity of the population to the virus, and (3) the transmission potential of the virus. This paper reviews what is currently known about each of these factors with respect to avian influenza A(H7N9). Currently, sustained human-to-human transmission of H7N9 has not been reported; however, population immunity to the virus is considered very low, and the virus has significant ability to cause human disease. Several statistical and geographical modelling studies have estimated and predicted the spread of the H7N9 virus in humans and avian species, and some have identified potential risk factors associated with disease transmission. Additionally, assessment tools have been developed to evaluate the pandemic potential of H7N9 and other influenza viruses. These tools could also hypothetically be used to monitor changes in the pandemic potential of a particular virus over time.

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.

Efforts are underway to understand recent increases in emergency department (ED) use and to offer case management to those patients identified as high utilizers. Homeless Veterans are thought to use EDs for non-emergent conditions. This study identifies the highest users of ED services in the Department of Veterans Affairs and provides descriptive analyses of these Veterans, the diagnoses for which they were seen in the ED, and differences based on their homeless status. Homeless Veterans were more likely than non-homeless Veterans to havegt;10 visits in the 2014 calendar year (12% vs.lt;1%). Homeless versus non-homeless Veterans withgt;10 visits were more often male,lt;age 60, and non-married. Non-homeless Veterans withgt;10 ED visits were often treated for chest and abdominal pain, and back problems, whereas homeless Veterans were frequently treated for mental health/substance use. Tailored case management approaches may be needed to better link homeless Veterans with high ED use to appropriate outpatient care.

Sexual trauma survivors are reluctant to disclose such a history due to stigma. This is likely the case when estimating the prevalence of sexual trauma experienced in the military. The Veterans Health Administration has a program by which all former US military service members (Veterans) are screened for military sexual trauma (MST) using a questionnaire. Administrative data on MST screens and a change of status from an initial negative answer to positive and natural language processing (NLP) on electronic medical notes to extract concepts related to MST were used to refine initial estimates of MST among a random sample of 20,000 Veterans. The initial MST positive screen of 15.4% among women was revised upward to 21.8% using administrative data and further to 24.5% by adding NLP results. The overall estimate of MST status in women and men in this sample was revised from 8.1% to 13.1% using both data elements.

We investigate options for grouping templates for the purpose of template identification and extraction from electronic medical records. We sampled a corpus of 1000 documents originating from Veterans Health Administration (VA) electronic medical record. We grouped documents through hashing and binning tokens (Hashed) as well as by the top 5% of tokens identified as important through the term frequency inverse document frequency metric (TF-IDF). We then compared the approaches on the number of groups with 3 or more and the resulting longest common subsequences (LCSs) common to all documents in the group. We found that the Hashed method had a higher success rate for finding LCSs, and longer LCSs than the TF-IDF method, however the TF-IDF approach found more groups than the Hashed and subsequently more long sequences, however the average length of LCSs were lower. In conclusion, each algorithm appears to have areas where it appears to be superior.

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.

Severe mental illness (SMI) and substance use disorders (SUD) are among the more chronic and costly mental health conditions treated in the Department of Veterans Affairs (VA). Service use patterns of returning veterans with SMI and SUD have received little attention. We examined gender differences in the utilization of VA services among a national sample of Operations Enduring Freedom, Iraqi Freedom, and New Dawn (OEF/OIF/OND) VA patients with SMI, SUD, and their comorbidity (SMI/SUD) in their first year of established VA care (N = 24,166). Outpatient services and acute-residential stays were modeled using negative binomial and logistic regression, respectively. Among all diagnostic categories, men used outpatient services less often than did women, including primary care (adjusted rate ratio [ARR] = .71, 95% confidence interval CI [.68, .74]), mental health (ARR = .85, 95% CI [.80, .91]), and addiction (ARR = .91, 95% CI [.83, .99]) services. For emergency department (ED) and psychiatric inpatient services, gender interacted significantly with diagnosis. The combination of SMI/SUD compared to either SMI or SUD conferred greater risk of ED utilization among men than women (adjusted odds ratio [AOR] = 2.09, 95% CI [1.24, 3.51], and 1.95, 95% CI [1.17, 3.26], respectively). SMI versus SUD conferred greater risk of psychiatric inpatient utilization among men than women (AOR = 1.83, 95% CI [1.43, 2.34]). Our findings point to gender differences in outpatient and acute service utilization among OEF/OIF/OND VA patients with some of the more chronic and costly mental health conditions. Further investigation of health care utilization patterns is needed to understand factors driving these gender differences to ensure that veterans have appropriate access to the services they need. (PsycINFO Database Record

Effectiveness of screening for homelessness in a large healthcare system was evaluated in terms of successfully referring and connecting patients with appropriate prevention or intervention services. Screening and healthcare services data from nearly 6 million U.S. military veterans were analyzed. Veterans either screened positive for current or risk of housing instability, or negative for both. Current living situation was used to validate results of screening. Administrative evidence for homelessness-related services was significantly higher among positive-screen veterans who accepted a referral for services compared to those who declined. Screening for current or risk of homelessness led to earlier identification, which led to earlier and more extensive service engagement.