Association of Homelessness with Hospital Readmissions-an Analysis of Three Large States.

BACKGROUND: Individuals experiencing homelessness have higher hospitalization and mortality rates compared with the housed. Whether they also experience higher readmission rates, and if readmissions vary by region or cause of hospitalization is unknown. OBJECTIVE: Evaluate the association of homelessness with readmission rates across multiple US states. DESIGN: Retrospective analysis of administrative claims PATIENTS: All inpatient hospitalizations in Florida, Massachusetts, and New York from January 2010 to October 2015 MAIN MEASURES: Thirty- and 90-day readmission rates KEY RESULTS: Out of a total of 23,103,125 index hospitalizations, 515,737 were for patients who were identified as homeless at the time of discharge. After adjusting for cause of index hospitalization, state, demographics, and clinical comorbidities, 30-day and 90-day readmission rates were higher for index hospitalizations in the homeless compared with those in the housed group. The difference in 30-day readmission rates between homeless and housed groups was the largest in Florida (30.4% vs. 19.3%; p < 0.001), followed by Massachusetts (23.5% vs. 15.2%; p < 0.001) and New York (15.7% vs. 13.4%; p < 0.001) (combined 17.3% vs. 14.0%; p < 0.001). Among the most common causes of hospitalization, 30-day readmission rates were 4.1 percentage points higher for the homeless group for mental illness, 4.9 percentage points higher for diseases of the circulatory system, and 2.4 percentage points higher for diseases of the digestive system. CONCLUSIONS: After adjusting for demographic and clinical characteristics, homelessness is associated with significantly higher 30- and 90-day readmission rates, with a significant variation across the three states. Interventions to reduce the burden of readmissions among individuals experiencing homelessness are urgently needed. Differences across states point to the potential of certain public policies to impact health outcomes for individuals experiencing homelessness.

Homeless Shelter Entry in the Year After an Emergency Department Visit: Results From a Linked Data Analysis.

STUDY OBJECTIVE: Housing instability is prevalent among emergency department (ED) patients and is known to adversely affect health. We aim to determine the incidence and timing of homeless shelter entry after an ED visit among patients who are not currently homeless. METHODS: We conducted a random-sample survey of ED patients at an urban public hospital from November 2016 to September 2017. Patients provided identifying information and gave informed consent for us to link their survey data with the New York City Department of Homeless Services shelter database. Shelter use was followed prospectively for 12 months after the baseline ED visit. We examined timing of shelter entry in the 12 months after the ED visit, excluding patients who were homeless at baseline. RESULTS: Of 1,929 unique study participants who were not currently homeless, 96 (5.0%) entered a shelter within 12 months of their baseline ED visit. Much of the shelter entry occurred in the first month after the ED visit, with continued yet slower rates of entry in subsequent months. Patients in our sample who entered a shelter were predominantly men and non-Hispanic black, and commonly had past shelter and frequent ED use. CONCLUSION: In this single-center study, 5.0% of urban ED patients who were not currently homeless entered a homeless shelter within the year after their ED visit. Particularly if replicated elsewhere, this finding suggests that ED patients may benefit from efforts to identify housing instability and direct them to homelessness prevention programs.

Universal screening for homelessness and risk for homelessness in the Veterans Health Administration.

We examined data for all veterans who completed the Veterans Health Administration's national homelessness screening instrument between October 1, 2012, and January 10, 2013. Among veterans who were not engaged with the US Department of Veterans Affairs homeless system and presented for primary care services, the prevalence of recent housing instability or homelessness was 0.9% and homelessness risk was 1.2%. Future research will refine outreach strategies, targeting of prevention resources, and development of novel interventions.

Community-level characteristics associated with variation in rates of homelessness among families and single adults.

OBJECTIVES: We modeled rates of family and single-adult homelessness in the United States in metropolitan and nonmetropolitan regions and as a function of community-level demographic, behavioral, health, economic, and safety net characteristics. METHODS: We entered community-level characteristics and US Department of Housing and Urban Development point-in-time counts for a single night in January 2009 into separate mixed-effects statistical analyses that modeled homelessness rates for 4 subpopulations: families and single adults in metropolitan and nonmetropolitan regions. RESULTS: Community-level factors accounted for 25% to 50% of the variance in homelessness rates across models. In metropolitan regions, alcohol consumption, social support, and several economic indicators were uniquely associated with family homelessness, and drug use and homicide were uniquely associated with single-adult homelessness. In nonmetropolitan regions, life expectancy, religious adherence, unemployment, and rent burden were uniquely associated with family homelessness, and health care access, crime, several economic indicators, and receipt of Supplemental Security Income were uniquely associated with single-adult homelessness. CONCLUSIONS: Considering homeless families and single adults separately enabled more precise modeling of associations between homelessness rates and community-level characteristics, indicating targets for interventions to reduce homelessness among these subpopulations.

Relationship among adverse childhood experiences, history of active military service, and adult outcomes: homelessness, mental health, and physical health.

OBJECTIVES: We determined whether a report of adverse childhood experiences predicts adult outcomes related to homelessness, mental health, and physical health and whether participation in active military service influences the relationship between childhood and adult adversity. METHODS: Using data from the 2010 Washington State Behavioral Risk Factor Surveillance System, we tested by means of logistic regression the relationship between adverse childhood experiences and 3 adult outcomes--homelessness, mental health, and physical health--as well as differences among those with a history of active military service. RESULTS: Adverse childhood experiences separately predicted increased odds of experiencing homelessness as an adult and mental health and physical health problems. Childhood adversity increased the likelihood of adult homelessness and poor physical health among individuals with no history of active military service and the likelihood of mental health problems among individuals with a history of active military service. CONCLUSIONS: The relationship between childhood adversity and adult adversity changes in degree when history of active military service is controlled, which has implications for Armed Forces recruitment strategies and postmilitary service risk assessment.

Risk factors for becoming homeless among a cohort of veterans who served in the era of the Iraq and Afghanistan conflicts.

OBJECTIVES: In this population-based cohort study, we assessed baseline risk factors for homelessness, including the role of service in the Iraq or Afghanistan conflicts, among a large cohort of recent veterans. METHODS: Data for this study came from administrative records for 310,685 veterans who separated from active military duty from July 1, 2005, to September 30, 2006. We used survival analysis methods to determine incidence rates and risk factors for homelessness, based on baseline data for military factors, demographic characteristics, and diagnoses of behavioral health disorders and traumatic brain injury. RESULTS: Service in Iraq or Afghanistan and, more specifically, posttraumatic stress disorder among veterans deployed there, were significant risk factors of modest magnitude for homelessness, and socioeconomic and behavioral health factors provided stronger indicators of risk. Gender was not a significant indicator of differential risk. CONCLUSIONS: Although service in Iraq and Afghanistan was significant, socioeconomic and behavioral health indicators show more promise in efforts to use administrative data to inform prevention efforts by identifying veterans who are at elevated risk for becoming homeless upon their return to civilian life.

Prevalence and risk of homelessness among US veterans.

INTRODUCTION: Understanding the prevalence of and risk for homelessness among veterans is prerequisite to preventing and ending homelessness among this population. Homeless veterans are at higher risk for chronic disease; understanding the dynamics of homelessness among veterans can contribute to our understanding of their health needs. METHODS: We obtained data on demographic characteristics and veteran status for 130,554 homeless people from 7 jurisdictions that provide homelessness services, and for the population living in poverty and the general population from the American Community Survey for those same jurisdictions. We calculated prevalence of veterans in the homeless, poverty, and general populations, and risk ratios (RR) for veteran status in these populations. Risk for homelessness, as a function of demographic characteristics and veteran status, was estimated by using multivariate regression models. RESULTS: Veterans were overrepresented in the homeless population, compared with both the general and poverty populations, among both men (RR, 1.3 and 2.1, respectively) and women (RR, 2.1 and 3.0, respectively). Veteran status and black race significantly increased the risk for homelessness for both men and women. Men in the 45- to 54-year-old age group and women in the 18- to 29-year-old age group were at higher risk compared with other ages. CONCLUSION: Our findings confirm previous research associating veteran status with higher risk for homelessness and imply that there will be specific health needs among the aging homeless population. This study is a basis for understanding variation in rates of, and risks for, homelessness in general population groups, and inclusion of health data from US Department of Veterans Affairs records can extend these results to identifying links between homelessness and health risks.

Homelessness and Children's Use of Mental Health Services: A Population-Based Study.

This study examined whether children who become homeless differ from other low-income children in their mental health service use before and after their first homeless episode, and to what extent homelessness is associated with an increased likelihood of mental health service use. Differences between children with and without new onset of sheltered homelessness in the use of mental health services emerged following homelessness and widened over time. Sheltered homelessness and foster care placement history were associated with increased odds of receiving inpatient and ambulatory mental health services. Findings underscore the importance of collaborations between homeless assistance, foster care, and mental healthcare in efforts to mitigate family homelessness and collateral needs among homeless children.

Leveraging integrated data for program evaluation: Recommendations from the field.

Use of administrative data to inform decision making is now commonplace throughout the public sector, including program and policy evaluation. While reuse of these data can reduce costs, improve methodologies, and shorten timelines, challenges remain. This article informs evaluators about the growing field of Integrated Data Systems (IDS), and how to leverage cross-sector administrative data in evaluation work. This article is informed by three sources: a survey of current data integration efforts in the United States (U.S.) (N=63), informational interviews with experts, and internal knowledge cultivated through Actionable Intelligence for Social Policy's (AISP) 12+ years of work in the field. A brief discussion of the U.S. data integration context and history is provided, followed by discussion of tangible recommendations for evaluators, examples of evaluations relying on integrated data, and a list of U.S. IDS sites with publicly available processes for external data requests. Despite the challenges associated with reusing administrative data for program evaluation, IDS offer evaluators a new set of tools for leveraging data across institutional silos.

Association Between Registered Sex Offender Status and Risk of Housing Instability and Homelessness among Veterans.

Research is limited about whether and to what extent registered sex offenders (RSOs) face an increased risk of housing instability. The intersection of RSO and housing instability is particularly salient for veterans as there are disproportionately higher rates of veterans among both RSOs and homeless populations. This study assessed the relationship between RSO status and risk of housing instability and homelessness among military veterans. We matched a list of 373,774 RSOs obtained from publicly available sex offender registries in 19 states with a cohort of 5.9 million veterans who responded to a brief screening for housing instability administered throughout the Veterans Health Administration between 2012 and 2016. Logistic regression estimated adjusted odds of any housing instability and homelessness among veterans identified as RSOs. Veterans identified as RSOs had 1.81 (95% confidence interval [CI] 1.46-2.25) and 2.97 (95% CI 1.67-5.17) times greater odds of reporting any housing instability and homelessness, respectively, than non-RSOs. Findings represent some of the strongest evidence to date for the high risk of housing instability and homelessness among RSOs, suggesting a clear gap in policy and programmatic responses to their unique housing needs. Evidence-based alternative approaches to residence restriction laws may reduce recidivism and protect public safety.

Development of a homelessness risk screening tool for emergency department patients.

OBJECTIVE: To develop a screening tool to identify emergency department (ED) patients at risk of entering a homeless shelter, which could inform targeting of interventions to prevent future homelessness episodes. DATA SOURCES: Linked data from (1) ED patient baseline questionnaires and (2) citywide administrative homeless shelter database. STUDY DESIGN: Stakeholder-informed predictive modeling utilizing ED patient questionnaires linked with prospective shelter administrative data. The outcome was shelter entry documented in administrative data within 6 months following the baseline ED visit. Exposures were responses to questions on homelessness risk factors from baseline questionnaires. DATA COLLECTION/EXTRACTION METHODS: Research assistants completed questionnaires with randomly sampled ED patients who were medically stable, not in police/prison custody, and spoke English or Spanish. Questionnaires were linked to administrative data using deterministic and probabilistic matching. PRINCIPAL FINDINGS: Of 1993 ED patients who were not homeless at baseline, 5.6% entered a shelter in the next 6 months. A screening tool consisting of two measures of past shelter use and one of past criminal justice involvement had 83.0% sensitivity and 20.4% positive predictive value for future shelter entry. CONCLUSIONS: Our study demonstrates the potential of using cross-sector data to improve hospital initiatives to address patients' social needs.

Performance of 2 Single-Item Screening Questions to Identify Future Homelessness Among Emergency Department Patients.

Importance: Despite increasing interest in assessing patient social needs in health care settings, there has been little research examining the performance of housing-related screening questions. Objective: To examine the performance of 2 single-item screening questions assessing emergency department (ED) patients' self-perceived risk of future homelessness. Design, Setting, and Participants: This prospective cohort study was conducted among a randomly selected sample of adult ED patients from 2016 to 2017 in a public hospital ED in New York City. Data were analyzed from September 2019 through October 2021. Exposures: Responses on patient surveys conducted at the baseline ED visit for 2 single-item screening questions on self-perceived risk for future housing instability and homelessness were collected. One question asked patients if they were worried about having stable housing in the next 2 months, and the other question asked them to rate the likelihood that they would enter a homeless shelter in the next 6 months. Outcomes: Homeless shelter entry 2, 6, and 12 months after an ED visit, assessed using shelter administrative data in the study city, which was linked with participant baseline survey responses. Results: There were 1919 study participants (976 [51.0%] men and 931 [48.6%] women among 1915 individuals with gender data; 700 individuals aged 31-50 years [36.5%] among 1918 individuals with age data; 1126 Hispanic or Latinx individuals [59.0%], 368 non-Hispanic Black individuals [19.3%], and 225 non-Hispanic White individuals [11.8%] among 1908 individuals with race and ethnicity data). Within 2, 6, and 12 months of the ED visit, 45 patients (2.3%), 66 patients (3.4%), and 95 patients (5.0%) had entered shelter, respectively. For both single-item screening questions, participants who answered affirmatively had significantly higher likelihood of future shelter entry at each time point examined (eg, at 2 months: 31 participants responding yes [6.5%] vs 14 participants responding no [1.0%] to the question concerning being worried about having stable housing in the next 2 months). Sensitivity of the screening questions ranged from 0.27 to 0.69, specificity from 0.76 to 0.97, positive predictive value from 0.07 to 0.27, and area under the receiver operating characteristic curve from 0.62 to 0.72. Conclusions and Relevance: This study found that 2 single-item screening questions assessing ED patient self-perceived risk of future housing instability and homelessness had adequate to good performance in identifying risk for future shelter entry. Such single-item screening questions should be further tested before broad adoption.

Moving on trial: protocol for a pilot randomised controlled trial of models of housing and support to reduce risks of COVID-19 infection and homelessness.

BACKGROUND: It is estimated that around 160,000 households in Britain experience homelessness each year, although no definitive statistics exist. Between March and September 2020, as part of the initial 'Everyone In' government response to COVID-19 in England, 10,566 people were living in emergency accommodation and nearly 18,911 people had been moved into settled accommodation. However, some forms of temporary accommodation may not be suitable as shared facilities make it impossible for people to adhere to government guidelines to reduce the spread of COVID-19. METHODS: This is parallel group, pilot randomised controlled trial. The target is to recruit three local authorities, each of which will recruit 50 participants (thus a total of approximately 150 participants). Individuals are eligible if they are aged 18 and over, in a single-person homeless household, temporarily accommodated by the LA with recourse to public funds. Participants will be randomised to receive settled accommodation (intervention group) or temporary accommodation (control group). The intervention group includes settled housing such as Private Rented Sector (low and medium support), Social Housing (low and medium support), and Housing First (High support). The control group will maintain treatment as usual. The follow-up period will last 6 months. The primary outcome is to assess the feasibility of recruitment, retention, and acceptability of trial processes against progression criteria laid out in a traffic light system (green: all criteria are met, the trial should progress as designed in this pilot; amber: the majority of criteria are met and with adaptations to methods all criteria could be met; red: the minority of criteria are met and the pilot RCT should not proceed). Secondary outcomes include assessment of completeness of data collection at 3 and 6 months and percentage of participants consenting to data linkage, as well as a process evaluation and economic evaluation. DISCUSSION: This trial will address feasibility questions associated with progression to a fully powered effectiveness trial of models of housing to reduce risk of COVID-19 infection and homelessness. TRIAL REGISTRATION: ISRCTN69564614 . Registered on December 16, 2020.

The impact of shelter use and housing placement on mortality hazard for unaccompanied adults and adults in family households entering New York City shelters: 1990-2002.

This study examines mortality among New York City (NYC) homeless shelter users, assessing the relationships between mortality hazard and time in shelter, patterns of homelessness, and subsequent housing exits for both adults in families and single adults. Administrative records from the NYC shelter system were matched with death records from the Social Security Administration for 160,525 persons. Crude mortality rates and life tables were calculated, and survival analyses were undertaken using these data. Life expectancy was 64.2 and 68.6 years for single adult males and single adult females, respectively, and among adults in families, life expectancy was 67.2 and 70.1 years for males and females, respectively. For both groups, exits to stable housing (subsidized or non-subsidized) were associated with reduced mortality hazard. And while mortality hazard was substantially reduced for the time adults were in shelters, extended shelter use patterns were associated with increased mortality hazard. Differences between single homelessness and family homelessness extend to disparities in mortality rates. Although causal links cannot be established here, results suggest that, for both subgroups of the homeless population, prompt resolution of homelessness and availability of housing interventions may contribute to reduced mortality.

At the Intersection of Homeless Encampments and Heroin Addiction: Service Use Barriers, Facilitators, and Recommendations from the City of Philadelphia's Encampment Resolution Pilot.

We provide an overview of the pilot and evaluation measures used for an independent evaluation of the Encampment Resolution Pilot (ERP) wherein the City of Philadelphia closed two homeless encampments in May 2018 and sought to assist those displaced by the closures with housing and treatment services. The evaluation used the Rapid Assessment, Response, and Evaluation method to collect qualitative findings on service use barriers and facilitators from open-ended interviews with people staying in the encampments (N = 27) and service providers (N = 10). We assessed how the ERP allowed providers to "push the system" by removing access barriers, and providing amenable, effective, and accessible housing and drug treatment services that led to more widely adopted best practices. However, there was a clear need for additional supportive services and aftercare for those exiting treatment. Providers also cited a need for more integrated medical and mental health services.

Investigating the link between gun possession and gun assault.

OBJECTIVES: We investigated the possible relationship between being shot in an assault and possession of a gun at the time. METHODS: We enrolled 677 case participants that had been shot in an assault and 684 population-based control participants within Philadelphia, PA, from 2003 to 2006. We adjusted odds ratios for confounding variables. RESULTS: After adjustment, individuals in possession of a gun were 4.46 (P < .05) times more likely to be shot in an assault than those not in possession. Among gun assaults where the victim had at least some chance to resist, this adjusted odds ratio increased to 5.45 (P < .05). CONCLUSIONS: On average, guns did not protect those who possessed them from being shot in an assault. Although successful defensive gun uses occur each year, the probability of success may be low for civilian gun users in urban areas. Such users should reconsider their possession of guns or, at least, understand that regular possession necessitates careful safety countermeasures.

Alcohol consumption, alcohol outlets, and the risk of being assaulted with a gun.

BACKGROUND: We conducted a population-based case-control study to better delineate the relationship between individual alcohol consumption, alcohol outlets in the surrounding environment, and being assaulted with a gun. METHODS: An incidence density sampled case-control study was conducted in the entire city of Philadelphia from 2003 to 2006. We enrolled 677 cases that had been shot in an assault and 684 population-based controls. The relationships between 2 independent variables of interest, alcohol consumption and alcohol outlet availability, and the outcome of being assaulted with a gun were analyzed. Conditional logistic regression was used to adjust for numerous confounding variables. RESULTS: After adjustment, heavy drinkers were 2.67 times as likely to be shot in an assault when compared with nondrinkers (p < 0.10) while light drinkers were not at significantly greater risk of being shot in an assault when compared with nondrinkers. Regression-adjusted analyses also demonstrated that being in an area of high off-premise alcohol outlet availability significantly increased the risk of being shot in an assault by 2.00 times (p < 0.05). Being in an area of high on-premise alcohol outlet availability did not significantly change this risk. Heavy drinkers in areas of high off-premise alcohol outlet availability were 9.34 times (p < 0.05) as likely to be shot in an assault. CONCLUSIONS: This study finds that the gun assault risk to individuals who are near off-premise alcohol outlets is about the same as or statistically greater than the risk they incur from heavy drinking. The combination of heavy drinking and being near off-premise outlets resulted in greater risk than either factor alone. By comparison, light drinking and being near on-premise alcohol outlets were not associated with increased risks for gun assault. Cities should consider addressing alcohol-related factors, especially off-premise outlets, as highly modifiable and politically feasible approaches to reducing gun violence.

Suicidality and the Onset of Homelessness: Evidence for a Temporal Association From VHA Treatment Records.

OBJECTIVE: This study examined the temporal sequencing of a first-recorded episode of homelessness and treatment for suicidal ideation or attempt. METHODS: Data were from the U.S. Department of Veterans Affairs Corporate Data Warehouse and contained medical records of service use dates and associated ICD codes for care provided by the Veterans Health Administration. The analysis examined treatment for suicidality before and after a first record of homelessness ("onset") among 152,519 veterans. The second analysis examined the rate of treatment for suicidality among 156,288 veterans with any indication of homelessness. The third analysis examined the rate of homelessness among 145,770 veterans with indication of suicidality. RESULTS: Among newly homeless veterans, treatment for suicidality peaked just before onset of homelessness. Thirteen percent of homeless veterans had evidence of suicidality. Twenty-nine percent of veterans with evidence of suicidality appeared to have concurrent homelessness. CONCLUSIONS: Homelessness should be considered a primary risk factor for suicidality.

When Crises Converge: Hospital Visits Before And After Shelter Use Among Homeless New Yorkers.

People who are homeless use more hospital-based care than average, yet little is known about how hospital and shelter use are interrelated. We examined the timing of emergency department (ED) visits and hospitalizations relative to entry into and exit from New York City homeless shelters, using an analysis of linked health care and shelter administrative databases. In the year before shelter entry and the year following shelter exit, 39.3 percent and 43.3 percent, respectively, of first-time adult shelter users had an ED visit or hospitalization. Hospital visits-particularly ED visits-began to increase several months before shelter entry and declined over several months after shelter exit, with spikes in ED visits and hospitalizations in the days immediately before shelter entry and following shelter exit. We recommend cross-system collaborations to better understand and address the co-occurring health and housing needs of vulnerable populations.