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.

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.

Comparing Driving Miles for Department of Veterans Affairs-delivered Versus Department of Veterans Affairs-purchased Cataract Surgery.

BACKGROUND: The Veterans Choice Act of 2014 increased the number of Veterans eligible for Department of Veterans Affairs (VA)-purchased care delivered in non-VA community care (CC) facilities. Driving >40 miles from home to a VA facility is a key eligibility criterion for CC. It remains unclear whether this policy change improved geographical access by reducing drive distance for Veterans. OBJECTIVES: Describe the driving distance for Veterans receiving cataract surgery in VA and CC facilities, and if they visited the closest-to-home facility or if they drove to farther facilities. SUBJECTS: Veterans who had cataract surgery in federal fiscal year 2015. MEASURES: We calculated driving miles to the Closest VA and CC facilities that performed cataract surgeries, and to the location where Veterans received care. RESULTS: A total of 61,746 Veterans received 83,875 cataract surgeries. More than 50% of CC surgeries occurred farther than the Closest CC facility providing cataract surgery (median Closest CC facility 8.7 miles vs. Actual CC facility, 19.7 miles). Most (57%) Veterans receiving cataract surgery at a VA facility used the Closest VA facility (median Closest VA facility 28.1 miles vs. Actual VA facility at 31.2 miles). In all, 26.1% of CC procedures occurred in facilities farther away than the Closest VA facility. CONCLUSIONS: Although many Veterans drove farther than needed to get cataract surgery in CC, this was not true for obtaining care in the VA. Our findings suggest that there may be additional reasons, besides driving distance, that affect whether Veterans choose CC and, if they do, where they seek CC.

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.

Combining Natural Language Processing of Electronic Medical Notes With Administrative Data to Determine Racial/Ethnic Differences in the Disclosure and Documentation of Military Sexual Trauma in Veterans.

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.

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.

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.

Using network projections to explore co-incidence and context in large clinical datasets: Application to homelessness among U.S. Veterans.

INTRODUCTION: Network projections of data can provide an efficient format for data exploration of co-incidence in large clinical datasets. We present and explore the utility of a network projection approach to finding patterns in health care data that could be exploited to prevent homelessness among U.S. Veterans. METHOD: We divided Veteran ICD-9-CM (ICD9) data into two time periods (0-59 and 60-364days prior to the first evidence of homelessness) and then used Pajek social network analysis software to visualize these data as three different networks. A multi-relational network simultaneously displayed the magnitude of ties between the most frequent ICD9 pairings. A new association network visualized ICD9 pairings that greatly increased or decreased. A signed, subtraction network visualized the presence, absence, and magnitude difference between ICD9 associations by time period. RESULT: A cohort of 9468 U.S. Veterans was identified as having administrative evidence of homelessness and visits in both time periods. They were seen in 222,599 outpatient visits that generated 484,339 ICD9 codes (average of 11.4 (range 1-23) visits and 2.2 (range 1-60) ICD9 codes per visit). Using the three network projection methods, we were able to show distinct differences in the pattern of co-morbidities in the two time periods. In the more distant time period preceding homelessness, the network was dominated by routine health maintenance visits and physical ailment diagnoses. In the 59days immediately prior to the homelessness identification, alcohol related diagnoses along with economic circumstances such as unemployment, legal circumstances, along with housing instability were noted. CONCLUSION: Network visualizations of large clinical datasets traditionally treated as tabular and difficult to manipulate reveal rich, previously hidden connections between data variables related to homelessness. A key feature is the ability to visualize changes in variables with temporality and in proximity to the event of interest. These visualizations lend support to cognitive tasks such as exploration of large clinical datasets as a prelude to hypothesis generation.

Estimates of Outbreak Risk from New Introductions of Ebola with Immediate and Delayed Transmission Control.

While the ongoing Ebola outbreak continues in the West Africa countries of Guinea, Sierra Leone, and Liberia, health officials elsewhere prepare for new introductions of Ebola from infected evacuees or travelers. We analyzed transmission data from patients (i.e., evacuees, international travelers, and those with locally acquired illness) in countries other than the 3 with continuing Ebola epidemics and quantitatively assessed the outbreak risk from new introductions by using different assumptions for transmission control (i.e., immediate and delayed). Results showed that, even in countries that can quickly limit expected number of transmissions per case to <1, the probability that a single introduction will lead to a substantial number of transmissions is not negligible, particularly if transmission variability is high. Identifying incoming infected travelers before symptom onset can decrease worst-case outbreak sizes more than reducing transmissions from patients with locally acquired cases, but performing both actions can have a synergistic effect.

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.

Choosing Veterans Affairs: Determinants of post-9/11 Veterans' enrollment in Veterans Affairs health care.

Following recent policy changes, younger Veterans have particularly increased options for where to receive their health care. Although existing research provides some understanding of non-modifiable individual (e.g., age) and external community (e.g., non-VA provider supply) factors that influence VA enrollment, this study focused on modifiable facility access and quality factors that could influence Veterans' decisions to enroll in VA. In this cohort study, we examined enrollment in and use of VA services in the year following military separation as the binary outcome using mixed-effects logistic regressions, stratified by Active and Reserve Components. This study included 260,777 Active and 101,572 Reserve Component post-9/11 Veterans separated from the military in fiscal years 2016 to 2017. Independent variables included 4 access measures for timeliness of VA care and 3 VA quality measures, which are included in VA Medical Centers' performance plans. Eligible Veterans were more likely to enroll in VA when the closest VA had higher quality scores. After accounting for timeliness of VA care and non-modifiable characteristics, rating of primary care (PC) providers was associated with higher VA enrollment for Active Component (odds ratio [OR] = 1.014, 95% confidence interval [CI]: 1.007-1.020). Higher mental health (MH) continuity (OR = 1.039, 95% CI: 1.000-1.078) and rating of PC providers (OR = 1.009, 95% CI: 1.000-1.017) were associated with higher VA enrollment for Reserve Component. Improving facility-specific quality of care may be a way to increase VA enrollment. In a changing policy environment, study results will help VA leadership target changes they can make to manage enrollment of Veterans in VA and deliver needed foundational services.

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.

Suicide attempts and mental health diagnoses in combat-injured service members: A retrospective cohort study.

INTRODUCTION: Examinations of risk factors for suicide attempt in United States service members at high risk of mental health diagnoses, such as those with combat injuries, are essential to guiding prevention and intervention efforts. METHODS: Retrospective cohort study of 8727 combat-injured patients matched to deployed, non-injured patients utilizing Department of Defense and Veterans Affairs administrative records. RESULTS: Combat injury was positively associated with suicide attempt in the univariate model (HR = 1.75, 95% CI 1.5-2.1), but lost significance after adjustment for mental health diagnoses. Utilizing Latent Transition Analysis in the combat-injured group, we identified five mental/behavioral health profiles: (1) Few mental health diagnoses, (2) PTSD and depressive disorders, (3) Adjustment disorder, (4) Multiple mental health comorbidities, and (5) Multiple mental health comorbidities with alcohol use disorder (AUD). Multiple mental health comorbidities with AUD had the highest suicide attempt rate throughout the study and more than four times that of Multiple mental health comorbidities in the first study year (23.4 vs. 5.1 per 1000 person years, respectively). CONCLUSION: Findings indicate that (1) combat injury's impact on suicide attempt is attenuated by mental health and (2) AUD with multiple mental health comorbidities confers heightened suicide attempt risk in combat-injured service members.

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.

Treatment access for opioid use disorder in pregnancy among rural and American Indian communities.

BACKGROUND: Opioid use disorder (OUD) in pregnancy disproportionately impacts rural and American Indian (AI) communities. With limited data available about access to care for these populations, this study's objective was to assess clinic knowledge and new patient access for OUD treatment in three rural U.S. counties. MATERIAL AND METHODS: The research team used unannounced standardized patients (USPs) to request new patient appointments by phone for white and AI pregnant individuals with OUD at primary care and OB/GYN clinics that provide prenatal care in three rural Utah counties. We assessed a) clinic familiarity with buprenorphine for OUD; b) appointment availability for buprenorphine treatment; c) appointment wait times; d) referral provision when care was unavailable; and e) availability of OUD care at referral locations. We compared outcomes for AI and white USP profiles using descriptive statistics. RESULTS: The USPs made 34 calls to 17 clinics, including 4 with publicly listed buprenorphine prescribers on the Substance Abuse and Mental Health Services Administration website. Among clinical staff answering calls, 16 (47%) were unfamiliar with buprenorphine. OUD treatment was offered when requested in 6 calls (17.6%), with a median appointment wait time of 2.5 days (IQR 1-5). Among clinics with a listed buprenorphine prescriber, 2 of 4 (50%) offered OUD treatment. Most clinics (n = 24/28, 85.7%) not offering OUD treatment provided a referral; however, a buprenorphine provider was unavailable/unreachable 67% of the time. The study observed no differences in appointment availability between AI and white individuals. CONCLUSIONS: Rural-dwelling AI and white pregnant individuals with OUD experience significant barriers to accessing care. Improving OUD knowledge and referral practices among rural clinics may increase access to care for this high-risk population.

The impact of school opening model on SARS-CoV-2 community incidence and mortality.

The role that traditional and hybrid in-person schooling modes contribute to the community incidence of SARS-CoV-2 infections relative to fully remote schooling is unknown. We conducted an event study using a retrospective nationwide cohort evaluating the effect of school mode on SARS-CoV-2 cases during the 12 weeks after school opening (July-September 2020, before the Delta variant was predominant), stratified by US Census region. After controlling for case rate trends before school start, state-level mitigation measures and community activity level, SARS-CoV-2 incidence rates were not statistically different in counties with in-person learning versus remote school modes in most regions of the United States. In the South, there was a significant and sustained increase in cases per week among counties that opened in a hybrid or traditional mode versus remote, with weekly effects ranging from 9.8 (95% confidence interval (CI) = 2.7-16.1) to 21.3 (95% CI = 9.9-32.7) additional cases per 100,000 persons, driven by increasing cases among 0-9 year olds and adults. Schools can reopen for in-person learning without substantially increasing community case rates of SARS-CoV-2; however, the impacts are variable. Additional studies are needed to elucidate the underlying reasons for the observed regional differences more fully.