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.

Legal Services for Veterans (LSV): Protocol for evaluating the grant-based LSV initiative supporting community organizations' delivery of legal services to veterans.

BACKGROUND: 1.8 million Veterans are estimated to need legal services, such as for housing eviction prevention, discharge upgrades, and state and federal Veterans benefits. While having one's legal needs met is known to improve one's health and its social determinants, many Veterans' legal needs remain unmet. Public Law 116-315 enacted in 2021 authorizes VA to fund legal services for Veterans (LSV) by awarding grants to legal service providers including nonprofit organizations and law schools' legal assistance programs. This congressionally mandated LSV initiative will award grants to about 75 competitively selected entities providing legal services. This paper describes the protocol for evaluating the initiative. The evaluation will fulfill congressional reporting requirements, and inform continued implementation and sustainment of LSV over time. METHODS: Our protocol calls for a prospective, mixed-methods observational study with a repeated measures design, aligning to the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) and Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) frameworks. In 2023, competitively selected legal services-providing organizations will be awarded grants to implement LSV. The primary outcome will be the number of Veterans served by LSV in the 12 months after the awarding of the grant. The evaluation has three Aims. Aim 1 will focus on measuring primary and secondary LSV implementation outcomes aligned to RE-AIM. Aim 2 will apply the mixed quantitative-qualitative Matrixed Multiple Case Study method to identify patterns in implementation barriers, enablers, and other i-PARIHS-aligned factors that relate to observed outcomes. Aim 3 involves a mixed-methods economic evaluation to understand the costs and benefits of LSV implementation. DISCUSSION: The LSV initiative is a new program that VA is implementing to help Veterans who need legal assistance. To optimize ongoing and future implementation of this program, it is important to rigorously evaluate LSV's outcomes, barriers and enablers, and costs and benefits. We have outlined the protocol for such an evaluation, which will lead to recommending strategies and resource allocation for VA's LSV implementation.

Increased Medicare payments for homeless patients provide new opportunities for care.

A final rule has been issued that increases Medicare fee-for-service payment rates for individuals experiencing homelessness. This rule provides new, incentivized opportunities to better screen for and document homelessness among patients in acute inpatient settings. With greater identification of homeless patients, there may be increased needs to develop comprehensive discharge plans that involve coordination with housing providers and social service agencies to prevent the high repeated use of acute care found among many homeless patients.

Evaluation of a collaborative model between managed care and affordable housing on acute care costs.

OBJECTIVES: This study evaluated a collaborative service model between the largest Medicaid managed care organization (MCO) in Texas, Superior HealthPlan, and the affordable housing provider Prospera Housing Community Services. STUDY DESIGN: Using a quasi-experimental 2-groups research design, we compared health care outcomes and costs between a sample of 104 participants served by the Prospera+Superior collaborative model and a group of 104 participants who had health care coverage through the Superior HealthPlan Medicaid MCO but did not live at Prospera properties (ie, Superior-only group). METHODS: Data from medical claims were analyzed to examine change in outcomes 12 months before and after implementation of the Prospera+Superior collaborative model in 2019. RESULTS: The Prospera+Superior group had a 56% lower rate of emergency department/urgent care visits and spent $2061 less in prescription costs than the Superior-only group after implementation. CONCLUSIONS: These findings provide needed evidence of the clinical and economic value of forming multisector collaborative models between MCOs and other community providers.

Systematic Review of Financial Interventions for Adults Experiencing Behavioral Health Conditions.

OBJECTIVE: The authors reviewed the literature on finance-based interventions used to improve clinical and psychosocial outcomes among adults experiencing mental disorders, substance use disorders, or both. METHODS: A systematic review of the peer-reviewed literature, published from 1900 to 2022, was conducted. Only studies with participants with a mental disorder or a substance use disorder, a structured finance-based intervention or program, a quantitative dependent variable in a behavioral health outcomes domain, and a defined research design were included. Studies were rated with a quality assessment tool, and overall evidence (levels I-VII) for the outcomes was rated. RESULTS: In total, 544 articles were identified, screened for eligibility, and reduced to 55 articles. These articles were rated by two independent raters, and 18 articles were ultimately included. Of these 18 articles, four reported findings of randomized controlled trials (RCTs), one conducted a secondary analysis of an RCT, and the remaining articles were observational studies. The most studied intervention was representative payeeship, which reduced substance use and enhanced money management, showing the strongest evidence for improving outcomes among adults with behavioral health conditions. Weaker evidence suggested that financial education and assistance interventions could improve health care utilization and other psychosocial outcomes among individuals with mental or substance use disorders. CONCLUSIONS: Level II-V evidence indicates that finance-based interventions can improve outcomes among adults experiencing behavioral health conditions. Further research is needed to assess the impact of interventions beyond representative payee programs on objectively measured outcomes.

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.

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.

Incidence of long COVID and associated psychosocial characteristics in a large U.S. city.

PURPOSE: Persistent residual effects from Coronavirus Disease-2019 (COVID-19) have been observed with varying definitions of "Long COVID" and little comprehensive examination. This study examined the incidence and psychosocial correlates of Long COVID using different definitions. METHODS: Data were analyzed from a citywide sample of 3595 adults with lab-confirmed cases of COVID-19 that were surveyed over 3 months. Rates of Long COVID were examined in terms of Post-Acute COVID (PAC), defined as at least one symptom lasting for 4 weeks, and three levels of Post-COVID Syndrome (PCS) that included experiencing at least one symptom for 3 months (PCS-1), experiencing three or more symptoms for 3 months (PCS-2), or experiencing at least one of the same symptoms for 3 months (PCS-3). RESULTS: Among the 686 participants who completed baseline, 1-month, and 3-month follow-up assessments, 75.7% had PAC, 55.0% had PSC-1, 26.5% had PSC-2, and 19.0% had PSC-3. Comparing participants with PAC and PSC-3 in the total sample with inverse probability weighting, multivariable analyses revealed being female, Asian or Native American, greater reported longlines, and less social support were predictive of PCS-3. CONCLUSION: Residual effects of COVID-19 are very common and nearly one-fifth of our sample met the most restrictive definition of Long COVID warranting concern as a public health issue. Some demographic and social factors may predispose some adults to Long COVID, which should be considered for prevention and population health.

Beyond the Usual Players: Evidence-Building Priorities for Behavioral Health Among all U.S. Federal Agencies.

There are great and growing behavioral needs in the United States. The Department of Health and Human Services (HHS) already invests in many lines of research and services to address those needs. But there are opportunities for other federal agencies to provide investments as well. All federal agencies are now required to develop evidence-building plans, called Learning Agendas, per the Evidence-Based Policy Making Act. This commentary reviews the content of 2022-2026 Learning Agendas for priorities related to behavioral health across all U.S. federal agencies besides HHS. Across 4 other federal agencies and 2 cross-government plans, there are Learning Agenda priorities related to behavioral health. These priorities cover examining ways to expand access to mental health and substance use disorder treatment to veterans, Medicaid beneficiaries, and lesbian, gay, bisexual, transgender, and intersex individuals; and improving the social and emotional well-being of school children, veterans with disabilities, and veterans with military sexual trauma. Some important developing areas were not mentioned in any of the Learning Agendas, which are worth considering. These areas include new digital technologies and artificial intelligence for behavioral health, psychotropic agents, and the strong link between physical and mental health. To meet the behavioral health needs of the country, there are opportunities for inter-agency collaboration at the federal level to build evidence and incorporate new, important developments in behavioral health.

Emergency Department Use Among Recently Homeless Adults in a Nationally Representative Sample.

Introduction: In this study we examined the association of homelessness and emergency department (ED) use, considering social, medical, and mental health factors associated with both homelessness and ED use. We hypothesized that social disadvantage alone could account for most of the association between ED use and homelessness. Methods: We used nationally representative data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III). Emergency department use within the prior year was categorized into no use (27,674; 76.61%); moderate use (1-4 visits: 7,972; 22.1%); and high use (5 or more visits: 475; 1.32%). We used bivariate analyses followed by multivariable-adjusted logistic regression analyses to identify demographic, social, medical, and mental health characteristics associated with ED use. Results: Among 36,121 respondents, unadjusted logistic regression showed prior-year homelessness was strongly associated with moderate and high prior-year ED use (odds ratio [OR] 2.31 and 7.34, respectively, P < 0.001). After adjusting for sociodemographic factors, the associations of homelessness with moderate/high ED use diminished (adjusted OR [AOR] 1.27 and 1.62, respectively, both P < 0.05). Adjusting for medical/mental health variables, alone, similarly diminished the association between homelessness and moderate/high ED use (AOR 1.26, P < .05 and 2.07, P < 0.001, respectively). In a final stepwise model including social and health variables, homelessness was no longer significantly associated with moderate or high ED use in the prior year. Conclusion: After adjustment for social disadvantage and health problems, we found no statistically significant association between homelessness and ED use. The implications of our findings suggest that ED service delivery must address both health issues and social factors.

Is it Time to Antiquate the Term "Landlord?"

With the growth of community partnerships with housing providers to address social determinants of health, it may be time to rethink the term "landlord." The term, landlord, may be antiquated as it originated from medieval Europe in the 9th century, denotes rank, is male, and may create further divisions between tenants and landlords. In the US, many average Americans rent their property; as data from the Internal Revenue Service and the Rental Housing Finance Survey indicate nearly 10 million Americans reported rental income in 2020 and most of them own only 1-2 rental units. This commentary argues that the term "landlord" is no longer relevant, may be counterproductive to building a culture of health across stakeholder groups, and should be replaced. Some alternative terms are suggested, including "lessor" or "rental host." Accurate and neutral terms may be useful in engaging renters and property owners in addressing housing and homelessness issues in society.

Self-reported Impacts of the COVID-19 Pandemic and Economic Inflation on the Well-being of Low-income U.S. Veterans.

The health and well-being of low-income populations may be disproportionately impacted by major public health and economic events. This study examined written self-reported impacts of the Coronavirus Disease-2019 (COVID-19) pandemic and the economic inflationary period on health from a national sample of 854 low-income U.S. veterans. Responses were analyzed using rapid assessment procedures. In response to the COVID-19 pandemic, 59% of participants reported the pandemic had "no effect" on their health, 7% reported increased social isolation, and small proportions of participants reported negative effects on physical and mental health. In response to economic inflation, 43% of participants reported inflation had "no effect" on their health, 11% reported concerns about personal finances, and only small proportions reported other negative psychosocial impacts. Collectively, these findings suggest many low-income veterans are resilient during major events. Further research is needed on long-term health effects of inflation on this population.

Financial health and psychiatric symptoms among veterans with psychosis or recent homelessness during the COVID-19 pandemic.

The COVID-19 pandemic disproportionately impacted the physical health of some vulnerable groups, but further study is needed to investigate the pandemic's impact on financial health and mental well-being. We analyzed data from 158 participants, consisting of 59 veterans with a psychotic disorder (PSY), 49 recently housed veterans (RHV), and a control group of 50 veterans (CTL) who were assessed five times from May 2020-July 2021. This study compared the financial health of these three groups and examined the relation between financial health and psychiatric symptoms. Although the CTL group reported significantly higher income and savings than the PSY and RHV groups, the CTL group reported greater negative financial shocks than the PSY group. The RHV group reported greater material hardship but greater propensity to plan for finances and less financial shocks than the PSY group. Across all three groups, there was a reduction in financial shocks over time and no group showed more change than another. Across time, material hardship, financial shocks, and propensity to plan for finances were each significantly associated with symptoms of major depression. Together, these findings suggest the COVID-19 pandemic did not greatly impact the financial health of PSY and RHV groups possibly because of their limited income and resilience to adversity. Financial health was related to mental health supporting the U.S. government's strategic plan to include financial empowerment services in efforts to improve mental health and reduce veteran suicide. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Assessing longitudinal housing status using Electronic Health Record data: a comparison of natural language processing, structured data, and patient-reported history.

Introduction: Measuring long-term housing outcomes is important for evaluating the impacts of services for individuals with homeless experience. However, assessing long-term housing status using traditional methods is challenging. The Veterans Affairs (VA) Electronic Health Record (EHR) provides detailed data for a large population of patients with homeless experiences and contains several indicators of housing instability, including structured data elements (e.g., diagnosis codes) and free-text clinical narratives. However, the validity of each of these data elements for measuring housing stability over time is not well-studied. Methods: We compared VA EHR indicators of housing instability, including information extracted from clinical notes using natural language processing (NLP), with patient-reported housing outcomes in a cohort of homeless-experienced Veterans. Results: NLP achieved higher sensitivity and specificity than standard diagnosis codes for detecting episodes of unstable housing. Other structured data elements in the VA EHR showed promising performance, particularly when combined with NLP. Discussion: Evaluation efforts and research studies assessing longitudinal housing outcomes should incorporate multiple data sources of documentation to achieve optimal performance.

Automated identification of eviction status from electronic health record notes.

OBJECTIVE: Evictions are important social and behavioral determinants of health. Evictions are associated with a cascade of negative events that can lead to unemployment, housing insecurity/homelessness, long-term poverty, and mental health problems. In this study, we developed a natural language processing system to automatically detect eviction status from electronic health record (EHR) notes. MATERIALS AND METHODS: We first defined eviction status (eviction presence and eviction period) and then annotated eviction status in 5000 EHR notes from the Veterans Health Administration (VHA). We developed a novel model, KIRESH, that has shown to substantially outperform other state-of-the-art models such as fine-tuning pretrained language models like BioBERT and Bio_ClinicalBERT. Moreover, we designed a novel prompt to further improve the model performance by using the intrinsic connection between the 2 subtasks of eviction presence and period prediction. Finally, we used the Temperature Scaling-based Calibration on our KIRESH-Prompt method to avoid overconfidence issues arising from the imbalance dataset. RESULTS: KIRESH-Prompt substantially outperformed strong baseline models including fine-tuning the Bio_ClinicalBERT model to achieve 0.74672 MCC, 0.71153 Macro-F1, and 0.83396 Micro-F1 in predicting eviction period and 0.66827 MCC, 0.62734 Macro-F1, and 0.7863 Micro-F1 in predicting eviction presence. We also conducted additional experiments on a benchmark social determinants of health (SBDH) dataset to demonstrate the generalizability of our methods. CONCLUSION AND FUTURE WORK: KIRESH-Prompt has substantially improved eviction status classification. We plan to deploy KIRESH-Prompt to the VHA EHRs as an eviction surveillance system to help address the US Veterans' housing insecurity.

Associations Between Natural Language Processing-Enriched Social Determinants of Health and Suicide Death Among US Veterans.

Importance: Social determinants of health (SDOHs) are known to be associated with increased risk of suicidal behaviors, but few studies use SDOHs from unstructured electronic health record notes. Objective: To investigate associations between veterans' death by suicide and recent SDOHs, identified using structured and unstructured data. Design, Setting, and Participants: This nested case-control study included veterans who received care under the US Veterans Health Administration from October 1, 2010, to September 30, 2015. A natural language processing (NLP) system was developed to extract SDOHs from unstructured clinical notes. Structured data yielded 6 SDOHs (ie, social or familial problems, employment or financial problems, housing instability, legal problems, violence, and nonspecific psychosocial needs), NLP on unstructured data yielded 8 SDOHs (social isolation, job or financial insecurity, housing instability, legal problems, barriers to care, violence, transition of care, and food insecurity), and combining them yielded 9 SDOHs. Data were analyzed in May 2022. Exposures: Occurrence of SDOHs over a maximum span of 2 years compared with no occurrence of SDOH. Main Outcomes and Measures: Cases of suicide death were matched with 4 controls on birth year, cohort entry date, sex, and duration of follow-up. Suicide was ascertained by National Death Index, and patients were followed up for up to 2 years after cohort entry with a study end date of September 30, 2015. Adjusted odds ratios (aORs) and 95% CIs were estimated using conditional logistic regression. Results: Of 6 122 785 veterans, 8821 committed suicide during 23 725 382 person-years of follow-up (incidence rate 37.18 per 100 000 person-years). These 8821 veterans were matched with 35 284 control participants. The cohort was mostly male (42 540 [96.45%]) and White (34 930 [79.20%]), with 6227 (14.12%) Black veterans. The mean (SD) age was 58.64 (17.41) years. Across the 5 common SDOHs, NLP-extracted SDOH, on average, retained 49.92% of structured SDOHs and covered 80.03% of all SDOH occurrences. SDOHs, obtained by structured data and/or NLP, were significantly associated with increased risk of suicide. The 3 SDOHs with the largest effect sizes were legal problems (aOR, 2.66; 95% CI, 2.46-2.89), violence (aOR, 2.12; 95% CI, 1.98-2.27), and nonspecific psychosocial needs (aOR, 2.07; 95% CI, 1.92-2.23), when obtained by combining structured data and NLP. Conclusions and Relevance: In this study, NLP-extracted SDOHs, with and without structured SDOHs, were associated with increased risk of suicide among veterans, suggesting the potential utility of NLP in public health studies.

Medical Care Needs of Laundromat Users in San Antonio, Texas: A Potentially Unique Setting for Health Interventions.

Innovative community-based public-private partnerships are forming to address health needs of underserved communities. This study partnered with laundromats in San Antonio, Texas to understand the health and healthcare needs of laundromat users as a possible underserved population. A total of 193 laundromat users across eight laundromats participated in a survey based on the Texas Behavioral Risk Factor Surveillance System (BRFSS) that asked about health status, access to care, vaccinations, and use of preventive healthcare services. Responses were compared to population estimates from Bexar County and the state of Texas. Results showed that over half of the sample of laundromat users were female, racial/ethnic minorities, living at poverty level, and did not have health insurance coverage. Compared to county and state population estimates, laundromat users were significantly more likely to report poor health and physical impairment; and were less likely to have a primary care provider, to have received a routine medical checkup in the past year, and to have been tested for HIV. Laundromat users were also less likely to receive some gender-specific preventive healthcare screenings such as pap smears and mammograms for women, and prostate exams for men than county or state population estimates. In the laundromat sample, 78% expressed interest in receiving healthcare services on-site at laundromats. Together, these findings suggest laundromats may be a unique setting for healthcare intervention to reach undeserved, racial/ethnic minority communities. Pilot programs that target this setting are needed to explore this opportunity to deliver community-based public health practice.

Interaction between Legal and Social Needs in Their Association with Self-rated Health in a National Sample of Veterans.

Many health-related social needs, such as financial insecurity, are interconnected with legal needs. However, little is known about which social needs are more likely to be associated with legal needs, or whether legal and other needs interact to affect health. Using data from a 2020 national mailed survey assessing social needs among Veterans who had or were at risk for cardiovascular disease (N=2,801) and linked administrative data, linear regression models tested interactions between legal and other social needs, and their associations with self-rated health. In a model examining the interaction of financial and legal needs, experiencing financial but not legal needs was as strongly associated with worse health (b=-0.58, 95% CI -0.69, -0.46) as experiencing both financial and legal needs (b= -0.55, 95% CI -0.70, -0.40). Financial needs are important to Veterans' health and further research is needed to determine how financial and legal needs should be triaged by providers.

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.

"Millionaire Murrays": A qualitative study of formerly homeless veterans who became economically successful.

OBJECTIVE: There have been many clinical anecdotes and empirical studies of homeless individuals who incur high costs for health care, social services, and criminal justice systems, hence the term "Million-Dollar Murray." This study examined individuals who have exited homelessness and have become extremely economically successful, whom we call "Millionaire Murrays." METHODS: After a national recruitment effort, we conducted a qualitative study of formerly homeless veterans who became extremely economically successful. Semistructured interviews were conducted with eight participants to understand their life experiences with homelessness and eventual success beyond housing stability. Interviews were audio-recorded, transcribed, and analyzed using matrix analysis with qualitative techniques. RESULTS: Five overarching themes emerged: Developing Resilience Early, Hitting Rock Bottom, Defining Success Subjectively, Footholds to Success, and Inspiration and Advice. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: The findings demonstrate that through a combination of internal and external factors, great economic success is possible in this population. Services should strive to provide more than housing and clinical stability to encourage human flourishing. (PsycInfo Database Record (c) 2023 APA, all rights reserved).