Pathways to social integration among homeless-experienced adults with serious mental illness: a qualitative perspective.

BACKGROUND: Social integration (i.e., reciprocal interactions with peers and community members) is a notable challenge for many homeless-experienced adults with serious mental illness (SMI). In this study, we examine a range of housing services offered to homeless-experienced adults with SMI and identify the impacts of supportive services on participants' social integration outcomes, with the goal of improving services in transitional and permanent housing settings for homeless-experienced adults with SMI. METHODS: Through semi-structured interviews with homeless-experienced adults with SMI (n = 30), we examine the impacts of housing and service settings on participants' social integration. Participants received services in a variety of housing settings, including transitional housing with congregate/shared living (n = 10), transitional housing with individual quarters (n = 10), and permanent supportive housing (n = 10). RESULTS: Participants expressed caution in developing social relationships, as these could pose barriers to recovery goals (e.g., substance use recovery). For many, social integration was secondary to mental and physical health and/or housing stability goals. Individual quarters gave individuals a place of respite and a sense of control regarding when and with whom they socialized. Meeting recovery goals was strongly related to connecting to and receiving a range of supportive services; interviews suggest that proximity to services was critical for engagement in these resources. CONCLUSIONS: Programs serving homeless experienced adults with SMI should seek to understand how individuals conceptualize social integration, and how social relationships can either support or hinder participants' recovery journey.

Organizational and patient factors associated with positive primary care experiences for veterans with current or recent homelessness.

OBJECTIVE: To identify organizational service features associated with positive patient ratings of primary care within primary care clinics tailored to accommodate persons with ongoing and recent experiences of homelessness (PEH). DATA SOURCES AND STUDY SETTING: PEH receiving primary care in 29 United States Veterans Health Administration homeless-tailored clinics were surveyed about their primary care experience using the validated Primary Care Quality-Homeless (PCQ-H) survey. Characteristics of the clinics were assessed through surveys of clinic staff using a new organizational survey developed through literature review, site visits, statistical analysis, and consensus deliberation. STUDY DESIGN: Cross-sectional examination of patients' ratings of care based on surveys of patients, and of clinic characteristics, analyzed with Classification and Regression Tree (CART) analysis, a form of machine learning. DATA COLLECTION METHODS: Patient surveys (n = 3394) were obtained from a random sample of enrolled patients by both mail and telephone by an external survey contractor. Staff (n = 52 from 29 clinics) were interviewed by telephone. PRINCIPAL FINDINGS: This analysis identified service features that impact patient experience favorably, including aspects of patient-centeredness, team identity, strong external leadership support, and service that reach beyond traditional primary care clinic confines. Results varied according to the patient experience scale analyzed. Individual characteristics of PEH, such as degree of social support, general health, and unsheltered status, were also correlated with how they rate care. CONCLUSIONS: Organizational characteristics correlate with ratings of primary care from patients with recent and ongoing homelessness. Primary care programs serving homeless individuals can assure better care based on who they hire, how they foster team identity, what services they provide, and the strength of leadership support to protect a homeless-focused mission.

Impacts of Telehealth Adoption on the Quality of Care for Individuals With Serious Mental Illness: Retrospective Observational Analysis of Veterans Affairs Administrative Data.

Background: Telehealth implementation can be challenging for persons with serious mental illness (SMI), which may impact their quality of care and health outcomes. The literature on telehealth's impacts on SMI care outcomes is mixed, necessitating further investigation. Objective: We examined the impacts of facility-level telehealth adoption on quality of care metrics over time among patients with SMI. Methods: We analyzed Veterans Affairs (VA) administrative data across 138 facilities from January 2021 to December 2022. We performed longitudinal mixed-effects regressions to identify the relationships between the proportion of facility-level telehealth visits and SMI specialty care quality metrics: engagement with primary care; access and continuity of care across a range of mental health services including psychotherapy or psychosocial rehabilitation, SMI-specific intensive outpatient programs, and intensive case management; and continuity of mental health care after a high-risk event (eg, suicide attempt). Results: Facilities with a higher proportion of telehealth visits had reduced access and continuity of physical and mental health care for patients with SMI (P<.05). Higher telehealth adoption was associated with reduced primary care engagement (z=-4.04; P<.001), reduced access to and continuity in SMI-specific intensive case management (z=-4.49; P<.001; z=-3.15; P<.002), reductions in the continuity of care within psychotherapy and psychosocial rehabilitation (z=-3.74; P<.001), and continuity of care after a high-risk event (z=-2.46; P<.01). Telehealth uptake initially increased access to intensive outpatient but did not improve its continuity over time (z=-4.47; P<.001). Except for continuity within SMI-specific intensive case management (z=2.62; P<.009), continuity did not improve over time as telehealth became routinized. Conclusions: Although telehealth helped preserve health care access during the pandemic, telehealth may have tradeoffs with regard to quality of care for some individuals with SMI. These data suggest that engagement strategies used by SMI-specific intensive case management may have preserved quality and could benefit other settings. Strategies that enhance telehealth implementation-selected through a health equity lens-may improve quality of care among patients with SMI.

Examining Heart Failure Outcomes Amid Housing Insecurity.

BACKGROUND: How housing insecurity might affect patients with heart failure (HF) is not well characterized. Housing insecurity increases risks related to both communicable and noncommunicable diseases. For patients with HF, housing insecurity is likely to increase the risk for worse outcomes and rehospitalizations. METHODS AND RESULTS: We analyzed hospitalizations due to HF in the United States by using the 2020 National Inpatient Sample and Nationwide Readmissions Database to evaluate the impacts of housing insecurity on HF outcomes and hospital use. Individuals were identified as having housing insecurity by using diagnostic International Classification of Disease (ICD)-10 codes. Demographics and comorbidities were compared between patients with HF with and without housing insecurity. An adjusted logistic regression was performed to evaluate the relationships between housing insecurity and socioeconomic status on in-hospital mortality. Using a Cox proportional hazards model, patients with HF and without housing insecurity were evaluated for the risk of all-cause and HF-specific readmissions over time. Of the 1,003,270 hospitalizations for HF in the U.S. in 2020, 16,150 were identified as having housing insecurity (1.6%), and 987,120 were identified as having no housing insecurity (98.4%). The median age of patients with housing insecurity who were hospitalized for HF was 57, as compared to 73 in the population with no housing insecurity. A higher proportion of patients in the housing-insecurity group were Black (35% vs 20.1%) or Hispanic (11.1% vs 7.3%). Patients with housing insecurity were more likely to carry a diagnosis of alcohol-use disorder (15.2% vs 3.3%) or substance-use disorder (70.2% vs 17.8%) but were less likely to use tobacco (18.3% vs 28.7%). Patients with housing insecurity were over 4.5 times more likely to have Medicaid (52.4% vs 11.3%). Median length of stay did not differ between patients with housing insecurity vs those without it. Patients with housing insecurity were more likely to discharge against medical advice (11.4% vs 2.03%). After adjusting for patients' characteristics, housing insecurity was associated with lower in-hospital mortality rates (OR 0.60, 95% CI 0.39-0.92). Housing insecurity was associated with a higher risk of all-cause readmissions at 180 days (HR 1.13, 95% CI 1.12-1.14). However, there was no significant difference in the risk of HF-specific readmissions at 180 days (HR 1.07, 95% CI 0.998-1.14) CONCLUSIONS: Patients with HF and housing insecurity have distinct demographic characteristics. They are also more likely to be readmitted after their initial hospitalization when compared to those without housing insecurity. Identifying and addressing specific comorbid conditions for patients with housing insecurity who are hospitalized for HF may allow clinicians to provide more focused care, with the goal of preventing morbidity, mortality and unnecessary readmissions.

Addressing racial and ethnic disparities in premature exits from permanent supportive housing among residents with substance use disorders.

Background: Permanent supportive housing (PSH) is an evidence-based practice for reducing homelessness that subsidizes permanent, independent housing and provides case management-including linkages to health services. Substance use disorders (SUDs) are common contributing factors towards premature, unwanted ("negative") PSH exits; little is known about racial/ethnic differences in negative PSH exits among residents with SUDs. Within the nation's largest PSH program at the Department of Veterans Affairs (VA), we examined relationships among SUDs and negative PSH exits (for up to five years post-PSH move-in) across racial/ethnic subgroups. Methods: We used VA administrative data to identify a cohort of homeless-experienced Veterans (HEVs) (n = 2,712) who were housed through VA Greater Los Angeles' PSH program from 2016-2019. We analyzed negative PSH exits by HEVs with and without SUDs across racial/ethnic subgroups (i.e., African American/Black, Non-Hispanic White, Hispanic/Latino, and Other/Mixed [Asian, American Indian or Alaskan Native, and Native Hawaiian or Other Pacific Islander, and multi-race]) in controlled models and accounting for competing risk of death. Results: In competing risk models, HEVs with at least one SUD had 1.3 times the hazard of negative PSH exits compared to those without SUDs (95% CI: 1.00, 1.61). When stratifying by race/ethnicity, Other/Mixed race residents with at least one SUD had 6.4 times the hazard of negative PSH exits compared to their peers without SUDs (95% CI: 1.61-25.50). Hispanic/Latino residents with at least one SUD had 1.9 times the hazard compared to those without SUDs, also indicating a strong relationship with negative PSH exits; however, this association was not statistically significant (95% CI: 0.85-4.37). Black residents with at least one SUD had 1.2 times the hazard compared to those without SUDs (95% CI: 0.85-1.64), indicating no evidence of an association with negative PSH exits. Similarly, Non-Hispanic White residents with at least one SUD had 1.1 times the hazard compared to those without SUDs (95% CI: 0.75-1.66). Conclusions: These findings suggest relationships between SUDs and negative PSH exits differ between race/ethnic groups and suggest there may be value in culturally specific tailoring and implementation of SUD services for these subgroups.

Informing implementation and dissemination of a specialized primary care medical home for patients with serious mental illness: Clinician and administrator perspectives.

People with serious mental illness (SMI) have lower rates of use of preventative medical services and higher rates of mortality compared to the general population. Research shows that specialized primary care medical homes improve the health care of patients with SMI and are feasible to implement, safe, and more effective than usual care. However, specialized medical homes remain uncommon and model dissemination limited. As part of a controlled trial assessing an SMI-specialized medical home, we examined clinician and administrator perspectives regarding specialized versus mainstream primary care and identified ways to enhance the scale-up of a specialized primary care model for future dissemination. We conducted semistructured interviews with clinicians and administrators at three sites prior to the implementation of an SMI-specialized primary care medical home (n = 26) and at 1-year follow-up (n = 24); one site implemented the intervention, and two sites served as controls. Interviews captured service design features that affected the quality of care provided; contextual factors that supported or impeded medical home implementation; and knowledge, attitudes, and behaviors regarding the care of patients with SMI. Interviews were transcribed and coded. Clinicians and administrators described SMI-specialized primary care medical homes as advancing care coordination and outcomes for patients with SMI. Stakeholders identified elements of a specialized medical home that they viewed as superior to usual care, including having a holistic picture of patients' needs and greater care coordination. However, to enable scale-up, efforts are needed to increase staffing on care teams, develop robust clinician onboarding or training, and ensure close coordination with mental health care providers. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A structured approach to modifying an implementation package while scaling up a complex evidence-based practice.

OBJECTIVE: To describe a structured, iterative, data-driven approach for modifying implementation strategies for a complex evidence-based practice during a nationwide scale-up initiative. DATA SOURCES AND STUDY SETTING: We scaled-up implementation of Critical Time Intervention (CTI)-an evidence-based case management model-across 32 diverse community-based Veterans Affairs (VA) "Grant and Per Diem" case management (GPD-CM) agencies that serve homeless-experienced Veterans transitioning to independent living. Primary data were collected using qualitative methods. STUDY DESIGN: We embarked on a scale-up initiative while conducting a pragmatic randomized evaluation using a roll-out design, comparing two versions of a CTI implementation package tailored to VA's GPD-CM program. We iteratively assessed contextual factors and implementation outcomes (e.g., acceptability); findings informed package modifications that were characterized using the Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies. DATA COLLECTION METHODS: We conducted semi-structured interviews with Veterans, GPD-CM staff, and liaising VA clinicians; periodic reflections with liaising VA clinicians and implementation team members; and drew upon detailed meeting notes. We used rapid qualitative methods and content analysis to integrate data and characterize modifications. PRINCIPAL FINDINGS: After each scale-up wave-in response to variations in agency-level characteristics- we made iterative modifications to the implementation package to increase CTI adoption and fidelity across the diverse contexts of our scale-up sites. Modifications included adding, deleting, integrating, and altering the package; core package components were preserved. CONCLUSIONS: Implementation packages for complex evidence-based practices undergoing scale-up in diverse contexts may benefit from iterative modifications to optimize practice adoption with fidelity. We offer a structured, pragmatic approach for iteratively identifying data-driven, midstream implementation package adjustments, for use in both VA and non-VA scale-up initiatives. Our project demonstrates the importance of assessing for and making modifications in a scale-up initiative, as well as the trade-offs of projects having simultaneous formative and summative evaluation aims.

Capturing the Dynamics of Homelessness Through Ethnography and Mobile Technology: Protocol for the Development and Testing of a Smartphone Technology-Supported Intervention.

BACKGROUND: US military veterans who have experienced homelessness often have high rates of housing transition. Disruptions caused by these transitions likely exacerbate this population's health problems and interfere with access to care and treatment engagement. Individuals experiencing homelessness increasingly use smartphones, contributing to improved access to medical and social services. Few studies have used smartphones as a data collection tool to systematically collect information about the daily life events that precede and contribute to housing transitions, in-the-moment emotions, behaviors, geographic movements, and perceived social support. OBJECTIVE: The study aims to develop and test a smartphone app to collect longitudinal data from veterans experiencing homelessness (VEH) and to evaluate the feasibility and acceptability of using the app in a population that is unstably housed or homeless. METHODS: This study's design had 3 phases. Phase 1 used ethnographic methods to capture detailed data on day-to-day lived experiences of up to 30 VEH on topics such as housing stability, health, and health behaviors. Phase 2 involved focus groups and usability testing to develop and refine mobile phone data collection methods. Phase 3 piloted the smartphone mobile data collection with 30 VEH. We included mobile ethnography, real-time surveys through an app, and the collection of GPS data in phase 3. RESULTS: The project was launched in June 2020, and at this point, some data collection and analysis for phases 1 and 2 are complete. This project is currently in progress. CONCLUSIONS: This multiphase study will provide rich data on the context and immediate events leading to housing transitions among VEH. This study will ensure the development of a smartphone app that will match the actual needs of VEH by involving them in the design process from the beginning. Finally, this study will offer important insights into how best to develop a smartphone app that can help intervene among VEH to reduce housing transitions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/53022.

Testing an implementation package in a housing skills training pilot for homeless-experienced persons with serious mental illness.

Background: Evidence-based practices (EBPs) improve housing and health for persons who have experienced homelessness with serious mental illness (PEH-SMI) but are challenging to implement. We tested a strategy to support pilot implementation of a 12-session housing skills training intervention for PEH-SMI, tailored from effective social skills training interventions. We aimed to optimize the implementation strategy and intervention prior to an implementation trial. Method: We provided training and technical assistance to nine providers to support pilot implementation of this intervention to six groups of PEH-SMI (n = 35) engaged in VA Greater Los Angeles' homeless services. We used scales and semi-structured interviews with 14 PEH-SMI and all interventionists to inform implementation strategy adaptations, identify factors that impacted implementation, and assess perceptions of the intervention. Attendance was tracked and we observed a random sample of each interventionist's groups to assess treatment fidelity. Results: Interventionists perceived the implementation strategy and the intervention favorably. However, interventionists often lacked physical space, staff, and resources (e.g., computers) to conduct the intervention. Interventionists found the content valuable for participants and a few suggested that group engagement should be a prerequisite for obtaining housing services. PEH-SMI were interested in the intervention's content and receptive to the group-based format. Participants attended a mean of 4 ± 3/12 groups; all groups observed had acceptable fidelity. Problems with intervention retention were described, suggesting challenges maintaining group participation when participants transitioned between VA homeless services. Conclusions: To support the implementation of an EBP for PEH-SMI in homeless programs, these data suggest the value of training/technical assistance and strategies that enhance program-level buy-in to address resource concerns. Intervention adaptations, e.g., using a drop-in, open group format, in community-based settings that are easily accessible to PEH-SMI, may also increase adoption. This project was registered as "Improving Housing Outcomes for Homeless Veterans" Trial registration NCT03646149, registered 8/24/2018.

There are effective social skills programs for people with serious psychiatric disorders; we adapted these programs into a 12-session housing skills program for people who had experienced homelessness. We then tested a training and technical assistance package to support the program's delivery by nine providers (e.g., social workers) to six groups of homeless people with serious psychiatric disorders (n = 35). We used surveys and interviews with some participants (n = 14) and all involved providers (n = 9) to understand their perspectives on our training and technical assistance, as well as the program itself; and to assess their views on factors that affected the program's use in real-world settings. We tracked participants' attendance at the groups and observed a random selection of groups to see if providers adhered to key program elements. We found that participants attended an average of one-third of the program's groups (4/12) but that providers were able to deliver the program to include all key elements. Some providers lacked important resources (e.g., classroom space or computers) to deliver the program as it was intended; they liked the training and technical assistance offered. Participants liked the program's content and format. Difficulties with participant retention may relate to drop-out from homeless services in which the program was delivered. This pilot project suggests that getting buy-in from leaders across levels and structuring the program as a drop-in group, in the community, or in places where attendance is easy for participants may increase its likelihood of being used as part of routine homeless services.

Characteristics of Veterans Experiencing Homelessness using Telehealth for Primary Care Before and After COVID-19 Pandemic Onset.

BACKGROUND: The COVID-19 pandemic expanded telehealth use across healthcare systems, including the Veterans Health Administration (VA). Little is known about how large-scale telehealth rollout affected access to primary care for patients experiencing homelessness. OBJECTIVE: To examine the extent to which homeless-experienced veterans used telehealth services in primary care and to characterize users before and after the onset of the COVID-19 pandemic. DESIGN: Retrospective cohort study, 3/16/2019-3/15/2022. PARTICIPANTS: 394,731 veterans with homelessness diagnoses nationally using 4,068,109 primary care visits. MAIN MEASURES: The outcomes were use of 1 + telehealth visits (video, phone, secure messaging) for primary care during each year. Through multivariable regression models, we examined associations between telehealth use, patient characteristics (e.g., age, sex, race-ethnicity, comorbidity), and VA homeless services use (e.g., homeless-tailored primary care (HPACT), permanent supportive housing). KEY RESULTS: Compared to pre-pandemic, telehealth in primary care among homeless-experienced veterans increased substantially 2 years post-pandemic (video: 1.37% versus 20.56%, phone: 60.74% versus 76.58%). Secure messaging was low over time (1.57-2.63%). In adjusted models, video users were more likely to be young (65 + years: OR = 0.43, CI: 0.42-0.44), women (OR = 1.74, CI: 1.70-1.78), Black (OR = 1.14, CI: 1.12-1.16), Hispanic (OR = 1.34, CI: 1.30-1.38), and with more comorbidities (2 + on the Charlson Comorbidity Index; OR = 1.16, CI: 1.14-1.19), compared to video non-users. HPACT patients were less likely to use video (OR = 0.68, CI: 0.66-0.71) than other primary care patients. This was not observed among users of other VA homeless services. CONCLUSIONS: Despite decreased access to health information technology and low pre-pandemic telehealth use, veterans experiencing homelessness still sustained high use of telehealth in primary care post-pandemic. Women and racial-ethnic minorities had higher video uptake proportionately, suggesting that telehealth may address access disparities among these homeless-experienced patient groups. Identifying and targeting organizational characteristics (e.g., HPACT users) that predict telehealth use for improvement may be key to increasing adoption among VA primary care patients experiencing homelessness.

Improving a Sanctioned Homeless Encampment for Veterans During COVID-19 Through Multilevel Partnerships.

A veteran-clinician-researcher partnership-the Care, Treatment, and Rehabilitation Service (CTRS)-enabled quality improvement within a U.S. Department of Veterans Affairs-sanctioned homeless encampment created in response to the COVID-19 pandemic. Although the differing concerns of clinicians and operational leaders led to challenges in defining CTRS's goals and quality metrics, partnering with frontline social work and peer staff (N=11) and veterans (N=21 of 381 CTRS participants) and considering their feedback resolved those differences. Multilevel partnerships improved care within the encampment, leading to the development of an encampment medicine team (providing onsite integrated health care) and a veteran engagement committee (providing feedback).

Social Connectivity and Coping Among Vulnerable Veterans During the COVID-19 Pandemic.

The coronavirus disease 2019 (COVID-19) pandemic dramatically changed how people socialized. However, little is known about the extent to which the pandemic changed the social connections of people with tenuous interpersonal relationships at baseline, including homeless-experienced people and people with psychotic disorders. We sought to understand how these populations experienced changes in their social connectivity and to identify coping strategies employed. We conducted 43 semi-structured interviews with 27 vulnerable participants (11 homeless-experienced people and 16 people with psychotic disorders) and 16 comparison group participants, all of whom used services at the Department of Veterans Affairs (VA). Vulnerable participants in both groups had sparse prepandemic social connectedness; few perceived pandemic-related social network changes. While many homeless-experienced participants struggled with transitioning to technology to communicate, participants with psychotic disorders used technology to stay connected. Resilience derived from military service experiences was adaptive during the pandemic, complemented by VA services that provided supports.

Caring for high-need patients.

OBJECTIVE: We aimed to explore the construct of "high need" and identify common need domains among high-need patients, their care professionals, and healthcare organizations; and to describe the interventions that health care systems use to address these needs, including exploring the potential unintended consequences of interventions. METHODS: We conducted a modified Delphi panel informed by an environmental scan. Expert stakeholders included patients, interdisciplinary healthcare practitioners (physicians, social workers, peer navigators), implementation scientists, and policy makers. The environmental scan used a rapid literature review and semi-structured interviews with key informants who provide healthcare for high-need patients. We convened a day-long virtual panel meeting, preceded and followed by online surveys to establish consensus. RESULTS: The environmental scan identified 46 systematic reviews on high-need patients, 19 empirical studies documenting needs, 14 intervention taxonomies, and 9 studies providing construct validity for the concept "high need." Panelists explored the construct and terminology and established that individual patients' needs are unique, but areas of commonality exist across all high-need patients. Panelists agreed on 11 domains describing patient (e.g., social circumstances), 5 care professional (e.g., communication), and 8 organizational (e.g., staffing arrangements) needs. Panelists developed a taxonomy of interventions with 15 categories (e.g., care navigation, care coordination, identification and monitoring) directed at patients, care professionals, or the organization. The project identified potentially unintended consequences of interventions for high-need patients, including high costs incurred for patients, increased time and effort for care professionals, and identification of needs without resources to respond appropriately. CONCLUSIONS: Care for high-need patients requires a thoughtful approach; differentiating need domains provides multiple entry points for interventions directed at patients, care professionals, and organizations. Implementation efforts should consider outlined intended and unintended downstream effects on patients, care professionals, and organizations.

A Sanctioned Encampment as a Strategy for Increasing Homeless Veterans' Access to Housing and Healthcare During the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic intersected with a housing crisis for unsheltered Veterans experiencing homelessness (VEHs); congregate settings became high risk for viral spread. The VA Greater Los Angeles responded by creating the Care, Treatment, and Rehabilitation Service (CTRS), an outdoor, low-barrier-to-entry transitional housing program on VA grounds. This novel emergency initiative offered a protected outdoor environment ("sanctioned encampment") where VEHs lived in tents and had access to three meals a day, hygiene resources, and health and social services. OBJECTIVE: To identify contextual factors that supported and impeded CTRS participants' access to healthcare and housing services. DESIGN: Multi-method, ethnographic data collection. PARTICIPANTS: VEHs residing at CTRS, CTRS staff. APPROACH: Over 150 hours of participant observation were conducted at CTRS and at eight town hall meetings; semi-structured interviews were conducted with 21 VEHs and 11 staff. Rapid turn-around qualitative analysis was used to synthesize data, engaging stakeholders in iterative participant validation. Content analysis techniques were used to identify key factors that impacted access to housing and health services among VEHs residing in CTRS. KEY RESULTS: Staff varied in their interpretation of CTRS' mission. Some conceptualized access to health services as a central tenet, while others viewed CTRS as an emergency shelter only. Regardless, staff burnout was prevalent, which lead to low morale, high turnover, and worsened access to and quality of care. VEHs endorsed trusting, long-term relationships with CTRS staff as paramount for facilitating access to services. Though CTRS addressed basic priorities (food, shelter, etc.) that traditionally compete with access to healthcare, some VEHs needed on-site healthcare services, at their tents, to access care. CONCLUSIONS: CTRS provided VEHs access to basic needs and health and housing services. To improve access to healthcare services within encampments, our data suggest the value of longitudinal trusting relationships, adequate staff support, and on-site health services.

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.

Veterans Finding Community and a "Home" Within an Emergency Housing Environment.

In April 2020, the Department of Veterans Affairs responded to the COVID-19 pandemic and escalating unsheltered homelessness in Los Angeles by sanctioning a tent turned tiny shelter encampment at the West Los Angeles Veterans Affairs medical center. Initially, staff offered linkages to on-campus VA healthcare. However, as many Veterans living in the encampment struggled to avail themselves of these services, our "encampment medicine" team was launched to provide on-site care coordination and healthcare at the tiny shelters. This case study showcases the team's engagement with a Veteran experiencing homelessness struggling with opioid use disorder and depicts how this co-located, comprehensive care team allowed for trusting care relationships formed with, and empowerment of the Veterans living in the encampment. The piece highlights a healthcare model that engages with persons experiencing homelessness on their own terms while building trust and solidarity, focuses on the sense of community that formed in the tiny shelter encampment, and gives recommendations for how homeless services might adapt to use the strengths of this unique community.

Insights for Conducting Large-Scale Surveys with Veterans Who Have Experienced Homelessness.

Surveys of underserved patient populations are needed to guide quality improvement efforts but are challenging to implement. The goal of this study was to describe recruitment and response to a national survey of Veterans with homeless experience (VHE). We randomly selected 14,340 potential participants from 26 U.S. Department of Veterans Affairs (VA) facilities. A survey contract organization verified/updated addresses from VA administrative data with a commercial address database, then attempted to recruit VHE through 4 mailings, telephone follow-up, and a $10 incentive. We used mixed-effects logistic regressions to test for differences in survey response by patient characteristics. The response rate was 40.2% (n=5,766). Addresses from VA data elicited a higher response rate than addresses from commercial sources (46.9% vs 31.2%, p<.001). Residential addresses elicited a higher response rate than business addresses (43.8% vs 26.2%, p<.001). Compared to non-respondents, respondents were older, less likely to have mental health, drug, or alcohol conditions, and had fewer VA housing and emergency service visits. Collectively, our results indicated a national mailed survey approach is feasible and successful for reaching VA patients who have recently experienced homelessness. These findings offer insight into how health systems can obtain perspectives of socially disadvantaged groups.

Acceptability of a mobile sensing application to characterize community integration among homeless-experienced veterans.

Mobile sensing applications that collect active, Ecological Momentary Assessment data, and passive, Global Positioning System data provide reliable, longitudinal assessments of community integration. Ensuring their acceptability by vulnerable populations is warranted. Acceptability-related perceptions of a mobile sensing application were gathered via focus groups with homeless-experienced Veterans with serious mental illness (n = 19) and individual interviews with providers (n = 5) to inform subsequent application tailoring and testing. Rapid assessment generated structured summaries and matrix analyses integrated participant data. Active data collection was deemed noninvasive, with more concerns of passive data "ending up in the wrong hands." Providers recommended clear descriptions and promotion of choice to navigate privacy concerns and guardedness. Participants felt the application possessed clinical value for enhancing patient-provider interactions and community integration efforts. Overall, participants found application features acceptable and expressed Veterans' willingness to engage in research using mobile sensing technology. Recommendations to enhance acceptability are discussed.

Housing outcomes among homeless-experienced veterans engaged in vocational services.

Though unemployment and homelessness are closely intertwined, vocational services are rarely prioritized for homeless-experienced individuals engaging in housing services. Our goal was to examine associations between vocational service use and housing outcomes among homeless-experienced Veterans engaged in permanent supportive housing. We obtained data from Veterans Health Administration (VHA) medical record and homelessness registry data for homeless-experienced Veterans engaged in U.S. Department of Veterans Affairs (VA) Greater Los Angeles' permanent supportive housing program from October 2016 to September 2017 (n = 1,200). We used multivariate logistic regression to examine whether vocational service use was associated with housing attainment and/or premature permanent supportive housing exits. We found that Veterans in permanent supportive housing who used vocational services were more likely to attain housing (OR = 2.52, p < .001) than their peers who did not use these services. There were no between-group differences in the odds of premature exits from the permanent supportive housing program (OR = 1.92, p = .425). Our study suggests that, among homeless-experienced Veterans engaged in permanent supportive housing programs, those who use vocational services potentially may be more likely to attain housing. However, future research can better elucidate the pathways underlying vocational service use and housing outcomes for individuals in permanent supportive housing programs. Greater integration of vocational services and permanent supportive housing programs, and encouragement of vocational service use may enhance housing outcomes among permanent supportive housing participants. (PsycInfo Database Record (c) 2022 APA, all rights reserved).