Temporary Financial Assistance for Housing Expenditures and Mortality and Suicide Outcomes Among US Veterans.

INTRODUCTION: It is unclear whether interventions designed to increase housing stability can also lead to improved health outcomes such as reduced risk of death and suicide morbidity. The objective of this study was to estimate the potential impact of temporary financial assistance (TFA) for housing-related expenses from the US Department of Veterans Affairs (VA) on health outcomes including all-cause mortality, suicide attempt, and suicidal ideation. METHODS: We conducted a retrospective national cohort study of Veterans who entered the VA Supportive Services for Veteran Families (SSVF) program between 10/2015 and 9/2018. We assessed the association between TFA and health outcomes using a multivariable Cox proportional hazards regression approach with inverse probability of treatment weighting. We conducted these analyses on our overall cohort as well as separately for those in the rapid re-housing (RRH) and homelessness prevention (HP) components of SSVF. Outcomes were all-cause mortality, suicide attempt, and suicidal ideation at 365 and 730 days following enrollment in SSVF. RESULTS: Our analysis cohort consisted of 41,969 unique Veterans with a mean (SD) duration of 87.6 (57.4) days in the SSVF program. At 365 days following SSVF enrollment, TFA was associated with a decrease in the risk of all-cause mortality (HR: 0.696, p < 0.001) and suicidal ideation (HR: 0.788, p < 0.001). We found similar results at 730 days (HR: 0.811, p = 0.007 for all-cause mortality and HR: 0.881, p = 0.037 for suicidal ideation). These results were driven primarily by individuals enrolled in the RRH component of SSVF. We found no association between TFA and suicide attempts. CONCLUSION: We find that providing housing-related financial assistance to individuals facing housing instability is associated with improvements in important health outcomes such as all-cause mortality and suicidal ideation. If causal, these results suggest that programs to provide housing assistance have positive spillover effects into other important aspects of individuals' lives.

Trends in Health Service Utilization After Enrollment in an Interdisciplinary Primary Care Clinic for Veterans with Addiction, Social Determinants of Health, or Other Vulnerabilities.

BACKGROUND: Models of interdisciplinary primary care (IPC) may improve upon traditional primary care approaches in addressing addiction and social determinants of health. OBJECTIVE: 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). DESIGN AND PARTICIPANTS: Interrupted time series study of utilization among IPC patients. MAIN MEASURES: 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. RESULTS: Among IPC patients (n=994), enrollment was associated with overall reductions in ED, inpatient, and behavioral health visits (p's<0.001) and increases in primary care (p's<0.001). Temporal patterns of ED visits, hospitalizations, and behavioral health differed across IPC subgroups (interaction p's<0.001). 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). CONCLUSIONS: 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.

Whole fresh fruit intake and risk of incident diabetes in different glycemic stages: a nationwide prospective cohort investigation.

PURPOSE: Fruit intake is beneficial to several chronic diseases, but controversial in diabetes. We aimed to investigate prospectively the associations of whole fresh fruit intake with risk of incident type 2 diabetes (T2D) in subjects with different glucose regulation capacities. METHODS: The present study included 79,922 non-diabetic participants aged ≥ 40 years from an ongoing nationwide prospective cohort in China. Baseline fruit intake information was collected by a validated food frequency questionnaire. Plasma HbA1c, fasting and 2 h post-loading glucose levels were measured at both baseline and follow-up examinations. Cox proportional hazards models were used to calculate hazard ratio (HR) and 95% confidence intervals (CI) for incident diabetes among participants with normal glucose tolerance (NGT) and prediabetes, after adjusted for multiple confounders. Restricted cubic spline analysis was applied for dose-response relation. RESULTS: During a median 3.8-year follow-up, 5886 (7.36%) participants developed diabetes. Overall, we identified a linear and dose-dependent inverse association between dietary whole fresh fruit intake and risk of incident T2D. Each 100 g/d higher fruit intake was associated with 2.8% lower risk of diabetes (HR 0.972, 95%CI [0.949-0.996], P = 0.0217), majorly benefiting NGT subjects with 15.2% lower risk (HR 0.848, 95%CI [0.766-0.940], P = 0.0017), while not significant in prediabetes (HR 0.981, 95%CI 0.957-4.005, P = 0.1268). Similarly, the inverse association was present in normoglycemia individuals with a 48.6% lower risk of diabetes when consuming fruits > 7 times/week comparing to those < 1 time/week (HR 0.514, 95% CI [0.368-0.948]), but not in prediabetes (HR 0.883, 95% CI [0.762-1.023]). CONCLUSION: These findings suggest that higher frequency and amount of fresh fruit intake may protect against incident T2D, especially in NGT, but not in prediabetes, highlighting the dietary recommendation of higher fresh fruit consumption to prevent T2D in normoglycemia population.

Care Practices of Mental Health Clinical Pharmacist Practitioners Within an Interdisciplinary Primary Care Model for Patients With Substance Use Disorders.

BACKGROUND: Clinical pharmacist practitioners (CPPs) play an increasingly important role in interdisciplinary care for patients with substance use disorders (SUDs). However, CPPs' scope of practice varies substantially across clinics and settings. OBJECTIVES: We sought to describe CPP practices and activities within an interdisciplinary, team-based primary care clinic dedicated to treat Veterans with histories of substance use disorders, experience of homelessness, high medical complexity, and other vulnerabilities. METHODS: We conducted a retrospective cohort study of CPP activities using Department of Veterans Affairs (VA) administrative data in 2019. RESULTS: CPPs provided care for 228 patients, including 766 in-clinic visits, 341 telephone visits, and 626 chart reviews, with an average of 2.5 hours spent per patient per year. Patients seen by CPPs frequently experience mental health conditions and SUDs, including depression (66%), post-traumatic stress disorder (52%), opioid use disorder (OUD) (45%), and alcohol use disorder (44%). CPPs managed buprenorphine medications for OUD or chronic pain in 76 patients (33%). Most CPP interventions (3330 total) were for SUDs (33%), mental health conditions (24%), and pain management (24%), with SUD interventions including medication initiation, dose changes, discontinuations and monitoring. As part of opioid risk mitigation efforts, CPPs queried the state's prescription drug monitoring program 769 times and ordered 59 naloxone kits and 661 lab panels for empaneled patients. CONCLUSION: CPPs managed a high volume of vulnerable patients and provided complex care within an interdisciplinary primary care team. Similar CPP roles could be implemented in other primary care settings to increase access to SUD treatment.

Persistent Opioid Use After Combat Injury and Subsequent Long-term Risk of Abuse: A Retrospective Cohort Study.

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.

The Enduring Health Consequences of Combat Trauma: a Legacy of Chronic Disease.

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.

ReHouSED: A novel measurement of Veteran housing stability using natural language processing.

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.

Providing Positive Primary Care Experiences for Homeless Veterans Through Tailored Medical Homes: The Veterans Health Administration's Homeless Patient Aligned Care Teams.

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.

Differences in Experiences With Care Between Homeless and Nonhomeless Patients in Veterans Affairs Facilities With Tailored and Nontailored Primary Care Teams.

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.

Long-acting Reversible Contraception Among Homeless Women Veterans With Chronic Health Conditions: A Retrospective Cohort Study.

BACKGROUND: 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. OBJECTIVES: To evaluate perinatal risk factors and LARC exposure in ever-homeless women Veterans. RESEARCH DESIGN: A retrospective cohort study of women Veterans using VHA administrative data from fiscal years 2002-2015. SUBJECTS: 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. MEASURES: 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. RESULTS: All health conditions were significantly higher in ever-homeless versus housed Veterans: mental health disorder in 84.5% versus 48.7% (P<0.001), substance abuse in 35.8% versus 8.6% (P<0.001), and medical conditions in 74.7% versus 55.6% (P<0.001). LARC exposure among all VHA users was 9.3% in ever-homeless Veterans versus 5.4% in housed Veterans (P<0.001). LARC exposure in the OEF/OIF/OND cohort was 14.1% in ever-homeless Veterans versus 8.2% in housed Veterans (P<0.001). In the OEF/OIF/OND cohort, homelessness along Veterans with medical and mental health indicators were leading LARC exposure predictors. CONCLUSIONS: 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.

Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text.

The Health Insurance Portability and Accountability Act (HIPAA) Safe Harbor method requires removal of 18 types of protected health information (PHI) from clinical documents to be considered "de-identified" prior to use for research purposes. Human review of PHI elements from a large corpus of clinical documents can be tedious and error-prone. Indeed, multiple annotators may be required to consistently redact information that represents each PHI class. Automated de-identification has the potential to improve annotation quality and reduce annotation time. For instance, using machine-assisted annotation by combining de-identification system outputs used as pre-annotations and an interactive annotation interface to provide annotators with PHI annotations for "curation" rather than manual annotation from "scratch" on raw clinical documents. In order to assess whether machine-assisted annotation improves the reliability and accuracy of the reference standard quality and reduces annotation effort, we conducted an annotation experiment. In this annotation study, we assessed the generalizability of the VA Consortium for Healthcare Informatics Research (CHIR) annotation schema and guidelines applied to a corpus of publicly available clinical documents called MTSamples. Specifically, our goals were to (1) characterize a heterogeneous corpus of clinical documents manually annotated for risk-ranked PHI and other annotation types (clinical eponyms and person relations), (2) evaluate how well annotators apply the CHIR schema to the heterogeneous corpus, (3) compare whether machine-assisted annotation (experiment) improves annotation quality and reduces annotation time compared to manual annotation (control), and (4) assess the change in quality of reference standard coverage with each added annotator's annotations.

Genetically predicted N-methylhydroxyproline levels mediate the association between naive CD8+ T cells and allergic rhinitis: a mediation Mendelian randomization study.

Background: Allergic rhinitis (AR), a prevalent chronic inflammatory condition triggered by immunoglobulin E (IgE), involves pivotal roles of immune and metabolic factors in its onset and progression. However, the intricacies and uncertainties in clinical research render current investigations into their interplay somewhat inadequate. Objective: To elucidate the causal relationships between immune cells, metabolites, and AR, we conducted a mediation Mendelian randomization (MR) analysis. Methods: Leveraging comprehensive publicly accessible summary-level data from genome-wide association studies (GWAS), this study employed the two-sample MR research method to investigate causal relationships among 731 immune cell phenotypes, 1400 metabolite levels, and AR. Additionally, employing the mediation MR approach, the study analyzed potential mediated effect of metabolites in the relationships between immune cells and AR. Various sensitivity analysis methods were systematically employed to ensure the robustness of the results. Results: Following false discovery rate (FDR) correction, we identified three immune cell phenotypes as protective factors for AR: Naive CD8br %CD8br (odds ratio (OR): 0.978, 95% CI = 0.966-0.990, P = 4.5×10-4), CD3 on CD39+ activated Treg (OR: 0.947, 95% CI = 0.923-0.972, P = 3×10-5), HVEM on CD45RA- CD4+ (OR: 0.967, 95% CI = 0.948-0.986, P = 4×10-5). Additionally, three metabolite levels were identified as risk factors for AR: N-methylhydroxyproline levels (OR: 1.219, 95% CI = 1.104-1.346, P = 9×10-5), N-acetylneuraminate levels (OR: 1.133, 95% CI = 1.061-1.211, P = 1.7×10-4), 1-stearoyl-2-arachidonoyl-gpc (18:0/20:4) levels (OR: 1.058, 95% CI = 1.029-1.087, P = 5×10-5). Mediation MR analysis indicated a causal relationship between Naive CD8br %CD8br and N-methylhydroxyproline levels, acting as a protective factor (OR: 0.971, 95% CI = 0.950-0.992, P = 8.31×10-3). The mediated effect was -0.00574, accounting for 26.1% of the total effect, with a direct effect of -0.01626. Naive CD8+ T cells exert a protective effect on AR by reducing N-methylhydroxyproline levels. Conclusion: Our study, delving into genetic information, has substantiated the intricate connection between immune cell phenotypes and metabolite levels with AR. This reveals a potential pathway to prevent the onset of AR, providing guiding directions for future clinical investigations.

Temporary Financial Assistance Reduced The Probability Of Unstable Housing Among Veterans For More Than 1 Year.

The Department of Veterans Affairs (VA) aims to reduce homelessness among veterans through programs such as Supportive Services for Veteran Families (SSVF). An important component of SSVF is temporary financial assistance. Previous research has demonstrated the effectiveness of temporary financial assistance in reducing short-term housing instability, but studies have not examined its long-term effect on housing outcomes. Using data from the VA's electronic health record system, we analyzed the effect of temporary financial assistance on veterans' housing instability for three years after entry into SSVF. We extracted housing outcomes from clinical notes, using natural language processing, and compared the probability of unstable housing among veterans who did and did not receive temporary financial assistance. We found that temporary financial assistance rapidly reduced the probability of unstable housing, but the effect attenuated after forty-five days. Our findings suggest that to maintain long-term housing stability for veterans who have exited SSVF, additional interventions may be needed.

Shallow Subsidies for Veterans Facing Housing Barriers in the VA Supportive Services for Veteran Families Program.

The Department of Veterans Affairs provides a shallow subsidy (i.e., subsidizing 50% of an individual's rent for two years) to Veterans experiencing housing instability. We sought to describe the characteristics of Veterans who received these subsidies. Methods. We conducted a retrospective cohort study of Veterans between 10/2019-9/2021. We identified Veteran-level characteristics associated with receiving a shallow subsidy using a multivariable two-part regression model. We also conducted qualitative interviews to identify how shallow subsidies are allocated. Results Black race, higher income, more education, and older age were positively associated with receiving a shallow subsidy; previous homelessness, prior VA outpatient cost, and participating in permanent supportive housing were negatively associated with receiving a shallow subsidy. Interviews revealed that income was the most influential determinant of whether to give shallow subsidies. Discussion Our mixed methods findings were consistent, indicating that socioeconomic stability is an important driver of shallow subsidy allocation decisions.

Predictors of homeless service utilization and stable housing status among Veterans receiving services from a nationwide homelessness prevention and rapid rehousing program.

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.

Using natural language processing to study homelessness longitudinally with electronic health record data subject to irregular observations.

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.

Long-Term Health Care Costs for Service Members Injured in Iraq and Afghanistan.

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 < 0.001), total costs continued to be elevated in years 2-10, with marginal effects ranging from $1,766 to $2,597 (P < 0.001 for all years). More severe injuries tended to increase costs in all categories. 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.

The Impact of Temporary Housing Assistance Expenditures on Subcategories of Health Care Cost for U.S. Veterans Facing Housing Instability.

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.

Temporary Financial Assistance Decreased Health Care Costs For Veterans Experiencing Housing Instability.

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.

Association of Temporary Financial Assistance With Housing Stability Among US Veterans in the Supportive Services for Veteran Families Program.

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.