Invited Commentary: Data Sources for Estimating Numbers of People Experiencing Homelessness in the United States-Strengths and Limitations.

In the accompanying article, Mosites et al. (Am J Epidemiol. 2021;190(11):2432-2436) evaluate data sources that enumerate people experiencing homelessness in the United States with respect to their strengths and limitations for conducting epidemiologic research in homeless populations. We largely agree with their key arguments, yet offer additional points that provide important context about these data for researchers and other stakeholders. Overall, we believe that it is possible to address many of the noted shortcomings of these data, and once addressed, the data could be more effectively leveraged to improve the health, housing stability, and quality of life of people experiencing homelessness.

Predictors of Nursing Home Admission Among a Cohort of Homeless Older Adults Entering Emergency Shelter.

OBJECTIVE: This study examined the extent and timing of nursing home admissions among older adults who had their first visit at an emergency shelter or re-entered after an extended absence. We assessed the relationships between demographic characteristics, health and behavioral health conditions, and health services utilization measures and the risk of nursing home admission. METHODS: We linked administrative data from the emergency shelter system in Boston, MA to claims data from the Massachusetts Medicaid program. Using the linked data, we identified a cohort of 432 adults aged 55 and above who entered the shelter for the first time (or re-entered after an extended absence) between 2012 and 2015. We estimated Kaplan-Meier survival curves and hazard functions to describe the extent and timing of nursing home admissions in this population following the date of their initial shelter entry and Cox proportional hazards regression models to identify predictors of the risk of nursing home admission. RESULTS: Roughly 12% of the study cohort had a nursing home admission within 4 years of their initial shelter entry and risk of shelter admission was highest in the first few months following shelter entry. Older age, diagnoses indicating alcohol use disorder, greater overall disease burden, and a prior history of nursing home admission were all associated with a higher risk of nursing home admission following shelter entry. CONCLUSIONS: Amidst ongoing growth in the number of older homeless adults, our study findings have important implications for efforts to meet the housing and health needs of this population.

Housing Boston's Chronically Homeless Unsheltered Population: 14 Years Later.

OBJECTIVE: The long-term outcomes of permanent supportive housing for chronically unsheltered individuals, or rough sleepers, are largely unknown. We therefore assessed housing outcomes for a group of unsheltered individuals who were housed directly from the streets after living outside for decades. METHODS: Using an open-cohort design, 73 chronically unsheltered individuals were enrolled and housed in permanent supportive housing directly from the streets of Boston from 2005 to 2019. Through descriptive, regression, and survival analysis, we assessed housing retention, housing stability, and predictors of survival. RESULTS: Housing retention at ≥1 year was 82% yet fell to 36% at ≥5 years; corresponding Kaplan-Meier estimates for retention were 72% at ≥1, 42.5% at ≥5, and 37.5% at ≥10 years. Nearly half of the cohort (45%) died while housed. The co-occurrence of medical, psychiatric, and substance use disorder, or "trimorbidity," was common. Moves to a new apartment were also common; 38% were moved 45 times to avoid an eviction. Each subsequent housing relocation increased the risk of a tenant returning to homelessness. Three or more housing relocations substantially increased the risk of death. CONCLUSIONS: Long-term outcomes for this permanent supportive housing program for chronically unsheltered individuals showed low housing retention and poor survival. Housing stability for this vulnerable population likely requires more robust and flexible and long-term medical and social supports.

Risk of dementia among veterans experiencing homelessness and housing instability.

BACKGROUND: In the United States, nearly 85,000 Veterans experienced homelessness during 2020, and thousands more are experiencing housing instability, representing a significant proportion of the population.1 Many Veterans experiencing homelessness are aging and have complex co-occurring medical, psychiatric, and substance use disorders. Homelessness and older age put Veterans at greater risk for age-related disorders, including Alzheimer's disease and related dementias (ADRD). METHODS: We examined the rate of ADRD diagnosis for Veterans experiencing homelessness and housing instability compared to a matched cohort of stably housed Veterans over a nine-year period using cox proportional hazard models. RESULTS: In the matched cohort, 95% (n = 88,811) of Veterans were men, and 67% (n = 59,443) were White and were on average 63 years old (SD = 10.8). Veterans with housing instability had a higher hazard of 1.53 (95% confidence interval (CI) 1.50, 1.59) for ADRD compared to Veterans without housing instability. CONCLUSIONS: Veterans experiencing housing instability have a substantially higher risk of receiving an ADRD diagnosis than a matched cohort of stably housed Veterans. Health systems and providers should consider cognitive screening among people experiencing housing insecurity. Existing permanent supportive housing programs should consider approaches to modify wraparound services to support Veterans experiencing ADRD.

Connecting unstably housed veterans living in rural areas to health care: Perspectives from Health Care Navigators.

OBJECTIVE: To understand existing care practices and policies, and potential enhancements, to improve the effectiveness of the US Department of Veterans Affairs (VA) Supportive Services for Veteran Families (SSVF) Health Care Navigators (HCN) in linking Veterans experiencing housing instability in rural areas with health care services. DATA SOURCES AND STUDY SETTING: We used primary data collected during semistructured interviews with HCNs (n = 21) serving rural areas across the United States during Spring 2022. STUDY DESIGN: We applied the Consolidated Framework for Implementation Research (CFIR) 2009 and the Social Ecological Model (SEM) to the collection and analysis of qualitative data to understand how HCNs administer services within SSVF and the larger community. DATA COLLECTION/EXTRACTION METHODS: We used rapid qualitative methods to summarize and analyze data. Templated matrix summaries identified facilitators and barriers to linking Veterans with health care services and policy and practice implications. PRINCIPAL FINDINGS: Using CFIR 2009, we identified contextual factors affecting successful implementation of HCN services within SSVF; we offer a crosswalk between CFIR 2009 and the version updated in 2022. Framing facilitators and barriers within the SEM provided insight into whether implementation strategies should be addressed at a community, interpersonal, or intrapersonal level within the SEM. Facilitators included sufficient knowledge, training, and mentorship opportunities for HCNs and their capacity to collaborate within their organization and with other community-based organizations. Barriers included lack of local technology and housing resources, inadequate understanding of Veterans' service eligibilities and pathways to access those services, and deficient collaboration with the VA. CONCLUSIONS: Understanding facilitators and barriers experienced by HCN when linking unstably housed Veterans in rural areas with health care services can inform future strategies, including policy changes such as increased training to support HCNs' understanding of eligibility, benefits, and entitlements as well as improving communication and collaboration between VA and community partners.

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.

Establishing Academic Homes for Homelessness: A Call to Action.

Although homelessness ranks as one of society's most pressing and visible health equity challenges, the academic community has not actively addressed its health impacts, root causes, and potential solutions. Few schools and programs of public health even offer a basic course for students. In the COVID-19 pandemic era, academia must demonstrate urgency to address homelessness and educate learners, motivate fledgling researchers, inform policy makers, offer community-engaged and evidence-based studies, and join in the growing national debate about best approaches. At a minimum, every public health student should understand the interdisciplinary challenges of homelessness, its implications for health equity, and opportunities to address the crisis. We call for academia, particularly schools and programs of public health, to engage more fully in national partnerships to care for members of society who are most marginalized, in terms of health and behavioral health outcomes, quality of life, and connectedness.

Longitudinal high-frequency ethnographic interviewing to simulate and prepare for intensive smartphone data collection among veterans with homeless experience.

Objective: While Veteran homelessness has steadily declined over the last decade, those who continue to be unhoused have complex health and social concerns. Housing instability interferes with access to healthcare, social services, and treatment adherence. Preventing unwanted housing transitions is a public health priority. This study is the first phase of a larger research agenda that aims to test the acceptability and feasibility of smartphone-enabled data collection with veterans experiencing homelessness. In preparation for the development of the smartphone data collection application, we utilized ethnographic methods guided by user-centered design principles to inform survey content, approach to recruitment and enrollment, and design decisions. Methods: We used a case study design, selecting a small sample (n = 10) of veterans representing a range of homelessness experiences based on risk and length of time. Participants were interviewed up to 14 times over a 4-week period, using a combination of qualitative methods. Additionally, 2 focus group discussions were conducted. Interviews were audio-recorded and transcribed. Data were synthesized and triangulated through use of rapid analysis techniques. Results: All participants had experience using smartphones and all but one owned one at the time of enrollment. Participants described their smartphones as "lifelines" to social network members, healthcare, and social service providers. Social relationships, physical and mental health, substance use, income, and housing environment were identified as being directly and indirectly related to transitions in housing. Over the course of ~30 days of engagement with participants, the research team observed dynamic fluctuations in emotional states, relationships, and utilization of services. These fluctuations could set off a chain of events that were observed to both help participants transition into more stable housing or lead to setbacks and further increase vulnerability and instability. In addition to informing the content of survey questions that will be programmed into the smartphone app, participants also provided a broad range of recommendations for how to approach recruitment and enrollment in the future study and design features that are important to consider for veterans with a range of physical abilities, concerns with trust and privacy, and vulnerability to loss or damage of smartphones. Conclusion: The ethnographic approach guided by a user-centered design framework provided valuable data to inform our future smartphone data collection effort. Data were critical to understanding aspects of day-to-day life that important to content development, app design, and approach to data collection.

Trauma and cervical cancer screening among women experiencing homelessness: A call for trauma-informed care.

OBJECTIVE: Women experiencing homelessness are at increased risk of cervical cancer and have disproportionately low Pap screening behaviors compared to the general population. Prevalence of Pap refusals and multiple kinds of trauma, specifically sexual trauma, are high among homeless women. This qualitative study explored how trauma affects Pap screening experiences, behaviors, and provider practices in the context of homelessness. METHODS: We conducted 29 in-depth interviews with patients and providers from multiple sites of a Federally Qualified Health Center as part of a study on barriers and facilitators to cervical cancer screening among urban women experiencing homelessness. The Health Belief Model and trauma-informed frameworks guided the analysis. RESULTS: Trauma histories were common among the 18 patients we interviewed. Many women also had strong physical and psychological reactions to screening, which influenced current behaviors and future intentions. Although most women had screened at least once in their lifetime, many patients experienced anticipated anxiety and retraumatization which pushed them to delay or refuse Paps. We recruited 11 providers who identified strategies they used to encourage screening, including emphasizing safety and shared decision-making before and during the exam, building strong patient-provider trust and communication, and individually tailoring education and counseling to patients' needs. We outlined suggestions and implications from these findings as trauma-informed cervical cancer screening. CONCLUSION: Discomfort with Pap screening was common among women experiencing homelessness, especially those with histories of sexual trauma. Applying a trauma-informed approach to cervical cancer screening may help address complex barriers among women experiencing homelessness, with histories of sexual trauma, or others who avoid, delay, or refuse the exam.

Training Clinicians to Care for Patients Where They Are.

Homelessness remains a pervasive, long-standing problem in the United States and is poised to increase as a result of the COVID-19 pandemic. Individuals experiencing homelessness bear a higher burden of complex medical and mental health illnesses and often struggle to obtain quality and timely health care. The United States desperately needs to train a workforce to confront this large and growing crisis, but few health professional schools currently devote curricula to the clinical needs of people experiencing homelessness. This article discusses educational and curricular strategies for health professional students. Understanding the health needs of-and the social influences on the lives of-people experiencing homelessness is crucial for addressing this health equity challenge.

The Use of High-Risk Criteria to Assess Mortality Risk among Unsheltered Homeless Persons.

We assessed the ability of high-risk criteria developed by Boston Health Care for the Homeless Program to identify increased mortality during a 10-year cohort study (January 2000-December 2009) of 445 unsheltered adults. To qualify as high-risk for mortality, an individual slept unsheltered for six consecutive months or longer plus had one or more of the following characteristics: tri-morbidity, defined as co-occurring medical, psychiatric, and addiction diagnoses; one or more inpatient or respite admissions; three or more emergency department visits; 60 years old or older; HIV/AIDS; cirrhosis; renal failure; frostbite, hypothermia, or immersion foot. A total of 119 (26.7%) individuals met the high-risk criteria. The remaining 326 individuals in the cohort were considered lowerrisk. During the study, 134 deaths occurred; 52 (38.8%) were among high-risk individuals. Compared with sheltered individuals, the age-standardized mortality ratio for the high-risk group was 4.0 (95% confidence interval 3.0, 5.2) times higher and for the lower-risk group was 2.2 (1.8, 2.8) times higher. The hazard ratio, a measure of survival, for the high-risk group was 1.7 (1.2, 2.4) times that of the lower-risk group. High-risk criteria predicted an increased likelihood of mortality among unsheltered individuals. The lower-risk group also had high mortality rates compared with sheltered individuals.

Mortality Among Unsheltered Homeless Adults in Boston, Massachusetts, 2000-2009.

Importance: Previous studies have shown high mortality rates among homeless people in general, but little is known about the patterns of mortality among "rough sleepers," the subgroup of unsheltered urban homeless people who avoid emergency shelters and primarily sleep outside. Objectives: To assess the mortality rates and causes of death for a cohort of unsheltered homeless adults from Boston, Massachusetts. Design, Setting, and Participants: A 10-year prospective cohort study (2000-2009) of 445 unsheltered homeless adults in Boston, Massachusetts, who were seen during daytime street and overnight van clinical visits performed by the Boston Health Care for the Homeless Program's Street Team during 2000. Data used to describe the unsheltered homeless cohort and to document causes of death were gathered from clinical encounters, medical records, the National Death Index, and the Massachusetts Department of Public Health death occurrence files. The study data set was linked to the death occurrence files by using a probabilistic record linkage program to confirm the deaths. Data analysis was performed from May 1, 2015, to September 6, 2016. Exposure: Being unsheltered in an urban setting. Main Outcomes and Measures: Age-standardized all-cause and cause-specific mortality rates and age-stratified incident rate ratios that were calculated for the unsheltered adult cohort using 2 comparison groups: the nonhomeless Massachusetts adult population and an adult homeless cohort from Boston who slept primarily in shelters. Results: Of 445 unsheltered adults in the study cohort, the mean (SD) age at enrollment was 44 (11.4) years, 299 participants (67.2%) were non-Hispanic white, and 72.4% were men. Among the 134 individuals who died, the mean (SD) age at death was 53 (11.4) years. The all-cause mortality rate for the unsheltered cohort was almost 10 times higher than that of the Massachusetts population (standardized mortality rate, 9.8; 95% CI, 8.2-11.5) and nearly 3 times higher than that of the adult homeless cohort (standardized mortality rate, 2.7; 95% CI, 2.3-3.2). Non-Hispanic black individuals had more than half the rate of death compared with non-Hispanic white individuals, with a rate ratio of 0.4 (95% CI, 0.2-0.7; P < .001). The most common causes of death were noncommunicable diseases (eg, cancer and heart disease), alcohol use disorder, and chronic liver disease. Conclusions and Relevance: Mortality rates for unsheltered homeless adults in this study were higher than those for the Massachusetts adult population and a sheltered adult homeless cohort with equivalent services. This study suggests that this distinct subpopulation of homeless people merits special attention to meet their unique clinical and psychosocial needs.

Old and sleeping rough: elderly homeless persons on the streets of Boston.

Older individuals living on the streets of our urban cities are a unique sub-group of the homeless population. No studies have been published about these elderly "rough sleepers" who face daunting obstacles to health care while facing a litany of health risks on the streets that are magnified by the physical and mental limitations of advancing years. To improve our understanding of this itinerant group, the Street Team of the Boston Health Care for the Homeless Program prospectively followed 30 individuals aged 60 or older living on Boston's streets for the four-year period from 2000 through 2003. This cohort included 8 (27%) women and 22 (73%) men ranging in age from 60 to 82 years. The average age was 67 years old At the end of the four year study period, 9 (30%) had died and 6 (20%) were in nursing homes. Despite intense efforts, only 5 (17%) found housing. Seven (23%) were still on Boston's streets after four years, and one was lost to follow-up. We conclude that elderly rough sleepers have high morbidity and mortality and pose significant challenges to programs seeking to provide housing and supportive health care services for this vulnerable sub-group of elderly homeless persons. New and creative housing options are needed, and the delicate issues of competency and guardianship must be addressed.

Identification of protein disulfide isomerase as an endothelial hypoxic stress protein.

Endothelial cells (EC) exposed to hypoxia upregulate a unique set of five stress proteins. These proteins are upregulated in human and bovine aortic and pulmonary artery EC and are distinct from heat shock or glucose-regulated proteins. We previously identified two of these proteins as the glycolytic enzymes glyceraldehyde-3-phosphate dehydrogenase and enolase and postulated that the remaining proteins were also glycolytic enzymes. Using SDS-PAGE, tryptic digestion, and NH(2)-terminal amino acid sequencing, we report here the identification of the 56-kDa protein as protein disulfide isomerase (PDI). PDI is upregulated by hypoxia at the mRNA level and follows a time course similar to that of the protein, with maximal upregulation detected after exposure to 18 h of 0% O(2). Neither smooth muscle cells nor fibroblasts upregulate PDI to the same extent as EC, which correlates with their decreased hypoxia tolerance. Upregulation of PDI specifically in EC may contribute to their ability to tolerate hypoxia and may occur through PDI's functions as a prolyl hydroxylase subunit, protein folding catalyst, or molecular chaperone.