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We sought to estimate the impact of temporary financial assistance (TFA) for housing-related expenses from the U.S. Department of Veterans Affairs on costs for a variety of health care services. We conducted a retrospective cohort study of Veterans who entered the Supportive Services for Veteran Families (SSVF) program between 10/2015 and 9/2018. We assessed the effect of TFA on health care costs using a multivariable difference-in-difference approach. Outcomes were direct medical costs of health care encounters (i.e., emergency department, outpatient mental health, inpatient mental health, outpatient substance use disorder treatment, and residential behavioral health) in the VA system. Temporary financial assistance was associated with a decrease in ED (-$11, p.003), outpatient mental health (-$28, p.001), outpatient substance use disorder treatment (-$25, p.001), inpatient mental health (-$258, p.001), and residential behavioral health (-$181, p.001) costs per quarter for Veterans in the rapid re-housing component of SSVF. These results can inform policy debates regarding proper solutions to housing instability.

The Electronic Health Record (EHR) contains information about social determinants of health (SDoH) such as homelessness. Much of this information is contained in clinical notes and can be extracted using natural language processing (NLP). This data can provide valuable information for researchers and policymakers studying long-term housing outcomes for individuals with a history of homelessness. However, studying homelessness longitudinally in the EHR is challenging due to irregular observation times. In this work, we applied an NLP system to extract housing status for a cohort of patients in the US Department of Veterans Affairs (VA) over a three-year period. We then applied inverse intensity weighting to adjust for the irregularity of observations, which was used generalized estimating equations to estimate the probability of unstable housing each day after entering a VA housing assistance program. Our methods generate unique insights into the long-term outcomes of individuals with a history of homelessness and demonstrate the potential for using EHR data for research and policymaking.

Models of interdisciplinary primary care (IPC) may improve upon traditional primary care approaches in addressing addiction and social determinants of health.To compare the trends in health care utilization in the year before and after enrollment in an IPC clinic model, and explore the variations in temporal patterns for patients with histories of high emergency department (ED) use, homelessness, and/or substance use disorders (SUDs).Interrupted time series study of utilization among IPC patients.Quarterly ED, inpatient, primary care, and behavioral health visits were abstracted from administrative data before and after IPC enrollment. Negative binomial segmented regressions estimated changes in health care utilization over time. We used interactions to test for statistical differences in temporal patterns for IPC subgroups.Among IPC patients (n=994), enrollment was associated with overall reductions in ED, inpatient, and behavioral health visits (p's0.001) and increases in primary care (p's0.001). Temporal patterns of ED visits, hospitalizations, and behavioral health differed across IPC subgroups (interaction p's0.001). For those with histories of high ED use (n=265), ED, inpatient, and behavioral health visits decreased after enrollment (level change incidence rate ratios [IRRs]=0.57-0.69) and continued to decline over time (post-enrollment IRRs=0.80-0.88). Among other patients with homeless experiences (n=123), there were initial declines in hospitalizations (IRR=0.33) and overall declines in behavioral health visits (level change and post-enrollment IRRs=0.46-0.94). Other patients with SUDs had initial declines in hospitalizations (IRR=0.46), and post-enrollment declines in rates of specialty SUD visits (IRR=0.92). For all patients, primary care visits initially increased (level change IIRs=2.47-1.34) then gradually declined (post-enrollment IRRs=0.92-0.92).An IPC model of care reduces acute care and behavioral health service use, particularly for patients with historically high ED use. IPC models may improve patient and system outcomes of vulnerable patient populations with social, clinical, and addiction morbidities.

Introduction Over the last two decades, the conflicts in Iraq and Afghanistan have cost the United States significantly in terms of lives lost, disabling injuries, and budgetary expenditures. This manuscript calculates the differences in costs between veterans with combat injuries vs veterans without combat injuries. This work could be used to project future costs in subsequent studies. Materials and Methods In this retrospective cohort study, we randomly selected 7,984 combat-injured veterans between February 1, 2002, and June 14, 2016, from Veterans Affairs Health System administrative data. We matched injured veterans 1:1 to noninjured veterans on year of birth (± 1 year), sex, and first service branch. We observed patients for a maximum of 10 years. This research protocol was reviewed and approved by the David Grant USAF Medical Center institutional review board (IRB), the University of Utah IRB, and the Research Review Committee of the VA Salt Lake City Health Care System in accordance with all applicable Federal regulations. Results Patients were primarily male (98.1% in both groups) and White (76.4% for injured patients, 72.3% for noninjured patients), with a mean (SD) age of 26.8 (6.6) years for the injured group and 27.7 (7.0) years for noninjured subjects. Average total costs for combat-injured service members were higher for each year studied. The difference was highest in the first year ($16,050 compared to $4,135 for noninjured). These differences remained significant after adjustment. Although this difference was greatest in the first year (marginal effect $12,386, 95% confidence interval $9,736-$15,036; P Conclusions Combat injured patients have significantly higher long-term health care costs compared to their noninjured counterparts. If this random sample is extrapolated to the 53,251 total of combat wounded service members, it implies a total excess cost of $1.6 billion to date after adjustment for covariates and a median follow-up time of 10 years. These costs are likely to increase as injured veterans age and develop additional chronic conditions.

Homelessness prevention and rapid rehousing (RRH) programs are increasingly important components of the homeless assistance system in the United States. Yet, there are key gaps in knowledge about the dynamics of the utilization of these programs, with scant attention paid to examining the duration of homelessness prevention and RRH service episodes or to patterns of repeated use of these programs over time. To address these gaps, we use data from the U.S. Department of Veterans Affairs' (VA) Supportive Services for Veteran Families (SSVF) program-the largest program in the country providing homelessness prevention and RRH services-to assess the relationship between individual and program-level factors and exits to stable housing, length of service episodes, and patterns of repeated service use over time. We analyze data for a primary cohort of 570,798 of Veterans who received SSVF services during Fiscal Years (FY) 2012-2021, and for separate cohorts of Veterans who received SSVF prevention and RRH services, respectively, during FY 2016-2021. We find that participants' income, indicators of their health status, their use of other VA homeless programs, and rurality are consistent predictors of our outcomes. These findings have implications for how to allocate homelessness prevention and RRH resources in the most efficient manner to help households maintain or obtain stable housing.

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.

The flux and form of dissolved inorganic carbon (DIC), an important part of carbon budget, play a key role in the biogeochemistry of aquatic ecosystem. By analyzing physicochemical parameters and water DIC and δ溶解性无机碳(DIC)的通量和形式在水生态系统的生物地球化学循环中起关键作用,是碳收支的重要组成部分。通过分析万峰湖水库库区水体理化参数、DIC和稳定碳同位素(δ

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.

Compared with housed people, those experiencing homelessness have longer and more expensive inpatient stays as well as more frequent emergency department visits. Efforts to provide stable housing situations for people experiencing homelessness could reduce health care costs. Through the Supportive Services for Veteran Families program, the Department of Veterans Affairs partners with community organizations to provide temporary financial assistance to veterans who are currently homeless or at imminent risk of becoming homeless. We examined the impact of temporary financial assistance on health care costs for veterans in the Supportive Services for Veteran Families program and found that, on average, people receiving the assistance incurred $352 lower health care costs per quarter than those who did not receive the assistance. These results can inform national policy debates regarding the proper solution to housing instability.

In this paper, a method of grating lobes and sidelobes suppression for distributed two-level nested array is presented. The method combines the distributed nested array structure and the pattern product theorem to obtain a distributed two-level nested array two-way pattern, which can effectively suppress the grating lobes and sidelobes. The Chebyshev window is used to design the weights of the transmit array pattern to achieve ultralow sidelobes performance. Numerical simulations are provided for testing the proposed method. Simulation results demonstrate the effectiveness of the proposed method, which will help to improve the detection performance of radar.

A microstrip rectenna for WLAN wireless energy harvesting is proposed in this paper. The rectenna is composed of a microstrip antenna and a rectifier. The operating frequency of the receiving microstrip antenna is from 2.418GHz to 2.458GHz which the reflection coefficient is below −10dB. The circuit of rectifier is based on single stage double voltage rectifying structure. The working bandwidth of the rectifier is 40MHz. When the input power is −15dBm and the load resistance is $4\mathrm{K}\Omega$ , the output voltage of the rectenna at 2.44GHz is 0.11V.

A kind of method for suppressing the grating lobes (GLs) of linear distributed array pattern is proposed in this paper. The method combines the linear distributed array structure and the pattern product theorem to obtain a linear distributed array two-way pattern. The Chebyshev window is used to design the weights of the transmit array pattern to achieve ultralow GLs performance. This method reduces the GLs by 29.5 dB, which can effectively suppress the GLs compared with conventional solutions. Simulation analysis results show the feasibility and the effectiveness of the method, which will help to improve the ability of radar detection.

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.

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.

Housing stability is an important determinant of health. The US Department of Veterans Affairs (VA) administers several programs to assist Veterans experiencing unstable housing. Measuring long-term housing stability of Veterans who receive assistance from VA is difficult due to a lack of standardized structured documentation in the Electronic Health Record (EHR). However, the text of clinical notes often contains detailed information about Veterans’ housing situations that may be extracted using natural language processing (NLP). We present a novel NLP-based measurement of Veteran housing stability: Relative Housing Stability in Electronic Documentation (ReHouSED). We first develop and evaluate a system for classifying documents containing information about Veterans’ housing situations. Next, we aggregate information from multiple documents to derive a patient-level measurement of housing stability. Finally, we demonstrate this method’s ability to differentiate between Veterans who are stably and unstably housed. Thus, ReHouSED provides an important methodological framework for the study of long-term housing stability among Veterans receiving housing assistance.

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.

This paper presents a multi-beam planar lens antenna based on frequency selective surface (FSS)operating at 6GHz. The proposed C-band multi-beam planar lens antenna exhibits the advantages of low profile and ease of manufacture, with good transmission characteristics at 6 GHz. A rectangular waveguide of 40.386mm×20.193mm is used as the feed. The gain of designed C-band multi-beam planar lens antenna reaches 14.4dBi, which shows an increment of 7.9dBi compared with the gain of rectangular waveguide. The simulation results confirm the wide-angle scanning properties of the proposed C-band multi-beam planar lens antenna in the ±30° range with gain scanning loss less than 0.6dBi.

In this paper, a dual-band band-stop frequency selective surface(FSS) is designed. Structure of the FSS is composed of upper and lower metal patches on a dielectric substrate. The metal patches consist of a square metal strip on one side of the dielectric substrate and a folded ring part on both sides of the dielectric substrate. The dual-band FSS can operate on 1.6 GHz and 2.4 GHz which TE mode bandwidth is 0.1 GHz~0.18GHz and 0.4 GHz~0.68GHz (-15dB stop-band bandwidth), and TM mode bandwidth is 0.04 GHz~0.1GHz and 0.2 GHz~0.4GHz (-15dB stop-band bandwidth), respectively. The whole dimension of miniaturized unit cell of elements is 0.085λ × 0.085λ. The miniaturization element of FSS and stable center frequency is achieved.

In this paper, a high gain planar antenna with parabolic reflector made by metalized via-holes is proposed. An H-plane horn antenna based on the substrate integrated waveguide is used as a feed on offset focus position of the parabolic shaped metalized via-holes. Reflection coefficient of the antenna is below -10dB from 20 GHz to 30 GHz. The gain of the planar antenna is 17 dB at the frequency of 25 GHz, which is 8.5 dB higher than the gain of the feed of H-plane horn antenna.

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.