Hospitalization costs associated with homelessness in New York City

A national analysis of burn injuries among homeless persons presenting to emergency departments

INTRODUCTION

Burn injuries among the homeless are increasing as record numbers of people are unsheltered and resort to unsafe heating practices. This study characterizes burns in homeless encounters presenting to US emergency departments (EDs).

METHODS

Burn encounters in the 2019 Nationwide Emergency Department Sample (NEDS) were queried. ICD-10 and CPT codes identified homelessness, injury regions, depths, total body surface area (TBSA %), and treatment plans. Demographics, comorbidities, and charges were analyzed. Discharge weights generated national estimates. Statistical analysis included univariate testing and multivariate modeling.

RESULTS

Of 316,344 weighted ED visits meeting criteria, 1919 (0.6%) were homeless. Homeless encounters were older (mean age 44.83 vs. 32.39 years), male-predominant (71% vs. 52%), and had more comorbidities, and were more often White or Black race (p < 0.001). They more commonly presented to EDs in the West and were covered by Medicaid (51% vs. 33%) (p < 0.001). 12% and 5% of homeless burn injuries were related to self-harm and assault, respectively (p < 0.001). Homeless encounters experienced more third-degree burns (13% vs. 4%; p < 0.001), though TBSA % deciles were not significantly different (34% vs. 33% had TBSA % of ten or lower; p = 0.516). Homeless encounters were more often admitted (49% vs. 7%; p < 0.001), and homelessness increased odds of admission (OR 4.779; p < 0.001). Odds of transfer were significantly lower (OR 0.405; p = 0.021).

CONCLUSION

Homeless burn ED encounters were more likely due to assault and self-inflicted injuries, and more severe. ED practitioners should be aware of these patients' unique presentation and triage to burn centers accordingly.

Addressing Housing Issues Among People With Kidney Disease: Importance, Challenges, and Recommendations

Kidney disease disproportionately impacts people with low socioeconomic status, and low socioeconomic status is associated with worse outcomes for people with kidney disease. Unstable housing, which includes housing insecurity and homelessness, is increasing due to rising housing costs. There is mounting evidence that unstable housing and other health-related social needs are partially driving worse outcomes for people with low socioeconomic status. In this perspective, we consider the challenges to addressing housing for people with kidney disease, such as difficulty with identification of those with unstable housing, strict eligibility criteria for housing support, inadequate supply of affordable housing, and flaws in communities' prioritization of affordable housing. We discuss ways to tailor management for people experiencing unstable housing with kidney disease, and the importance of addressing safety, trauma, and emotional concerns as a part of care. We identify opportunities for the nephrology community to surmount challenges through increased screening, investment in workforce dedicated to community resource navigation, advocacy for investment in affordable housing, restructuring of communities' prioritization of affordable housing, and conducting needed research. Identifying and addressing housing needs among people with kidney disease is critical to eliminating kidney health disparities.

Access, Outcomes, and Costs Associated with Surgery for Malignancy Among People Experiencing Homelessness

BACKGROUND

Little is known about surgery for malignancy among people experiencing homelessness (PEH). Poor healthcare access may lead to delayed diagnosis and need for unplanned surgery. This study aimed to (1) characterize access to care among PEH, (2) evaluate postoperative outcomes, and (3) assess costs associated with surgery for malignancy among PEH.

METHODS

This was a retrospective cohort study of patients in the Healthcare Cost and Utilization Project (HCUP) who underwent surgery in Florida, New York, or Massachusetts for gastrointestinal or lung cancer from 2016 to 2017. PEH were identified using HCUP's "Homeless" variable and ICD-10 code Z59. Multivariable regression models controlling patient and hospital variables evaluated associations between homelessness and postoperative morbidity, length of stay (LOS), 30-day readmission, and hospitalization costs.

RESULTS

Of 67,034 patients at 566 hospitals, 98 (0.2%) were PEH. Most PEH (44.9%) underwent surgery for colorectal cancer. PEH more frequently underwent unplanned surgery than housed patients (65.3% vs 23.7%, odds ratio (OR) 5.17, 95% confidence interval (CI) 3.00-8.92) and less often were treated at cancer centers (66.0% vs 76.2%, p=0.02). Morbidity rates were similar between groups (20.4% vs 14.5%, p=0.10). However, PEH demonstrated higher odds of facility discharge (OR 5.89, 95% CI 3.50-9.78) and readmission (OR 1.81, 95% CI 1.07-3.05) as well as 67.7% longer adjusted LOS (95% CI 42.0-98.2%). Adjusted costs were 32.7% higher (95% CI 14.5-53.9%) among PEH.

CONCLUSIONS

PEH demonstrated increased odds of unplanned surgery, longer LOS, and increased costs. These results underscore a need for improved access to oncologic care for PEH.

Morbidity and Length of Stay After Injury Among People Experiencing Homelessness in North America

Importance

Traumatic injury is a leading cause of hospitalization among people experiencing homelessness. However, hospital course among this population is unknown.

Objective

To evaluate whether homelessness was associated with increased morbidity and length of stay (LOS) after hospitalization for traumatic injury and whether associations between homelessness and LOS were moderated by age and/or Injury Severity Score (ISS).

Design, Setting, and Participants

This retrospective cohort study of the American College of Surgeons Trauma Quality Programs (TQP) included patients 18 years or older who were hospitalized after an injury and discharged alive from 787 hospitals in North America from January 1, 2017, to December 31, 2018. People experiencing homelessness were propensity matched to housed patients for hospital, sex, insurance type, comorbidity, injury mechanism type, injury body region, and Glasgow Coma Scale score. Data were analyzed from February 1, 2022, to May 31, 2023.

Exposures

People experiencing homelessness were identified using the TQP's alternate home residence variable.

Main Outcomes and Measures

Morbidity, hemorrhage control surgery, and intensive care unit (ICU) admission were assessed. Associations between homelessness and LOS (in days) were tested with hierarchical multivariable negative bionomial regression. Moderation effects of age and ISS on the association between homelessness and LOS were evaluated with interaction terms.

Results

Of 1 441 982 patients (mean [SD] age, 55.1 [21.1] years; (822 491 [57.0%] men, 619 337 [43.0%] women, and 154 [0.01%] missing), 9065 (0.6%) were people experiencing homelessness. Unmatched people experiencing homelessness demonstrated higher rates of morbidity (221 [2.4%] vs 25 134 [1.8%]; P < .001), hemorrhage control surgery (289 [3.2%] vs 20 331 [1.4%]; P < .001), and ICU admission (2353 [26.0%] vs 307 714 [21.5%]; P < .001) compared with housed patients. The matched cohort comprised 8665 pairs at 378 hospitals. Differences in rates of morbidity, hemorrhage control surgery, and ICU admission between people experiencing homelessness and matched housed patients were not statistically significant. The median unadjusted LOS was 5 (IQR, 3-10) days among people experiencing homelessness and 4 (IQR, 2-8) days among matched housed patients (P < .001). People experiencing homelessness experienced a 22.1% longer adjusted LOS (incident rate ratio [IRR], 1.22 [95% CI, 1.19-1.25]). The greatest increase in adjusted LOS was observed among people experiencing homelessness who were 65 years or older (IRR, 1.42 [95% CI, 1.32-1.54]). People experiencing homelessness with minor injury (ISS, 1-8) had the greatest relative increase in adjusted LOS (IRR, 1.30 [95% CI, 1.25-1.35]) compared with people experiencing homelessness with severe injury (ISS ≥16; IRR, 1.14 [95% CI, 1.09-1.20]).

Conclusions and Relevance

The findings of this cohort study suggest that challenges in providing safe discharge to people experiencing homelessness after injury may lead to prolonged LOS. These findings underscore the need to reduce disparities in trauma outcomes and improve hospital resource use among people experiencing homelessness.

Substance use disorder-associated infections' treatment with dalbavancin enabling outpatient transition (SUDDEN OUT) - an investigator-initiated single-arm unblinded prospective cohort study

Background

Severe gram-positive infections are frequent in people who inject drugs, and successful completion of treatment presents unique challenges in this population.

Objectives

We aimed to evaluate the feasibility of a long-acting antibiotic, dalbavancin, as an alternative to standard-of-care antibiotics for severe infections due to vancomycin-susceptible pathogens requiring ⩾2 weeks of therapy.

Design

We designed an investigator-initiated single-arm unblinded prospective cohort study to evaluate the safety and efficacy of an early switch to dalbavancin in two doses administered 1 week apart.

Methods

We screened patients admitted with bloodstream infection, osteomyelitis, septic arthritis, infective endocarditis or deep abscesses, and comorbid substance use disorder (SUD) for eligibility. Consenting patients were switched to dalbavancin within 7 days from their index culture. They were monitored in the hospital for efficacy and safety of the treatment until the second dose of dalbavancin 7 days later and then discharged if stable. Study participants were evaluated with a decision support engine for a hypothetical appropriate level of care regarding their SUD after discharge. Their follow-up was planned for 12 months from the index culture, either in-person or via telehealth/telephone.

Results

The enrollment was terminated early due to significant loss-to-follow-up. In all, 11 patients were enrolled, 4 completed 12 months of follow-up, 2 completed 8 months of follow-up, and 1 was seen once after discharge. The remaining five patients were lost to follow-up immediately after discharge. All 11 patients continued to improve after switching to dalbavancin between the first and second doses. There were two per-protocol failures of treatment. Dalbavancin was well tolerated, though some adverse events were reported.

Conclusion

Dalbavancin may be a safe and effective alternative for an early switch in treating severe gram-positive infections.

Trial registration

The trial was registered as NCT04847921 with clinicaltrials.gov.

Social and Behavioral Barriers to Effective Care During the Transition to End-Stage Kidney Care

Individuals living with CKD are disproportionately burdened by a multitude of adverse clinical and person-centered outcomes. When patients transition from advanced kidney disease to kidney failure, the psychosocial effects as well as social determinants of health challenges are magnified, making this a particularly difficult time for patients beginning kidney replacement therapy. The key social determinants of health challenges often include food and housing insecurity, poverty, unreliable transportation, low level education and/or health literacy, lack of language interpreters and culturally concordant educational materials, lack of health care insurance coverage, and mistrust of the health care system. Psychosocial and physical stressors, such as depression, anxiety, sexual dysfunction, sleep difficulty, fatigue, and pain, are often part of the illness burden among individuals living with CKD and can interact synergistically with the social challenges making the transition to kidney replacement therapy particularly challenging. To better support patients during this time, it is critical that social and structural determinants of health as well as mental health be assessed and if needs are identified, that services be provided.

Critical illness among patients experiencing homelessness: a retrospective cohort study

PURPOSE

To understand the epidemiology and healthcare use of critically ill patients experiencing homelessness compared to critically ill patients with stable housing.

METHODS

This retrospective population-based cohort study included adults admitted to any ICU in Alberta, Canada, for a 3-year period. Administrative and clinical data from the hospital, ICU and emergency department were used to examine healthcare resource use (processes of care, ICU and hospital length of stay, hospital readmission and emergency room visits). Regression was used to quantify differences in healthcare use by housing status.

RESULTS

2.3% (n = 1086) of patients admitted to the ICU were experiencing homelessness; these patients were younger, more commonly admitted for medical reasons and had fewer comorbidities compared to those with stable housing. Processes of care in the ICU were mostly similar, but healthcare use after ICU was different; patients experiencing homelessness who survived their index hospitalization were more than twice as likely to have a visit to the emergency department (OR = 2.3 times, 95% CI 2.0-2.6, < 0.001) or be readmitted to hospital (OR = 2.1, 95% CI 1.8-2.4, p < 0.001) within 30 days, and stayed 10.1 days longer in hospital (95% CI 8.6-11.6, p < 0.001), compared with those who have stable housing.

CONCLUSIONS

Patients experiencing homelessness have different characteristics at ICU admission and have similar processes of care in ICU, but their subsequent use of healthcare resources was higher than patients with stable housing. These findings can inform strategies to prepare patients experiencing homelessness for discharge from the ICU to reduce healthcare resource use after critical illness.

Community-Based Wound Care Programs for Unhoused Individuals

Wound care management for unhoused individuals is challenging due to the lack of healthcare infrastructure to handle the unique needs of this population. Therefore, we aimed to obtain insights for best practices and to establish a care clinic that is low threshold, community-based and meets the needs of unhoused people. We employed two approaches: (1) conduct a targeted narrative review of the literature of existing or proposed community-based program models that can address the wound care needs of unhoused individuals, and (2) assess cost-effectiveness and describe the results of a survey administered to unhoused clients and their health care providers at a community-based wound care program in Honolulu, Hawai'i. The literature search and screening yielded 11 articles relevant to the topic. Per the literature, existing community-based healthcare programs were successful when: (1) wound care services were incorporated into a broader social/health program, (2) cost-effective, and (3) comprehensive services were provided. Survey results in Honolulu found that the wound care program matched the needs of the targeted population and was cost-effective. Difficulty in following clients until wound closure and the sustainability of the program, particularly the lack of insurance reimbursement for street-based services, were perceived challenges. Additionally, the lack of insurance reimbursement for street-based wound care services continues to impact sustainability. Community-based programs can be successful in addressing the wound care needs of unhoused individuals if they address complex fundamental issues. This paper highlights existing gaps in logistics and policies that must be addressed to meet the specific medical needs of these vulnerable individuals.

Evidence of housing instability identified by addresses, clinical notes, and diagnostic codes in a real-world population with substance use disorders

Introduction

Housing instability is a social determinant of health associated with multiple negative health outcomes including substance use disorders (SUDs). Real-world evidence of housing instability is needed to improve translational research on populations with SUDs.

Methods

We identified evidence of housing instability by leveraging structured diagnosis codes and unstructured clinical data from electronic health records of 20,556 patients from 2017 to 2021. We applied natural language processing with named-entity recognition and pattern matching to unstructured clinical notes with free-text documentation. Additionally, we analyzed semi-structured addresses containing explicit or implicit housing-related labels. We assessed agreement on identification methods by having three experts review of 300 records.

Results

Diagnostic codes only identified 58.5% of the population identifiable as having housing instability, whereas 41.5% are identifiable from addresses only (7.1%), clinical notes only (30.4%), or both (4.0%). Reviewers unanimously agreed on 79.7% of cases reviewed; a Fleiss' Kappa score of 0.35 suggested fair agreement yet emphasized the difficulty of analyzing patients having ambiguous housing situations. Among those with poisoning episodes related to stimulants or opioids, diagnosis codes were only able to identify 63.9% of those with housing instability.

Conclusions

All three data sources yield valid evidence of housing instability; each has their own inherent practical use and limitations. Translational researchers requiring comprehensive real-world evidence of housing instability should optimize and implement use of structured and unstructured data. Understanding the role of housing instability and temporary housing facilities is salient in populations with SUDs.

Evaluation of New York/New York III permanent supportive housing program

In 2005, the city and state of New York launched New York/New York III (NY/NY III), a permanent supportive housing program for individuals experiencing homelessness or at risk of homelessness with complex medical and behavioral health issues. This review paper summarizes a decade of findings (2007-2017) from the NY/NY III evaluation team, to analyze this program's impact on various housing and health outcomes. The evaluation team linked NY/NY III eligible persons with administrative data from two years pre- and two years post-eligibility and compared housing and health outcomes between placed and unplaced groups using propensity score analysis. Placement into NY/NY III housing was associated with improved physical and mental health outcomes, increased housing stability, and statistically significant cost savings per person after one year of placement. The evaluation team recommends that municipalities invest in supportive housing as a means for mitigating homelessness and improving health outcomes in this vulnerable population.

Predictors of self-reported general health status in people experiencing homelessness with serious mental illness

PURPOSE

The growing homeless population in the U.S.A. is disproportionately impacted by poor mental and physical health status, including a higher incidence of acute and chronic health problems, increased hospitalizations, and premature mortality compared to the general population. This study examined the association between demographic, social, and clinical factors and perceptions of general health status among the homeless population during admission to an integrated behavioral health treatment program.

METHODS

The study sample included 331 adults experiencing homelessness with a serious mental illness or co-occurring disorder. Participants were enrolled in services at a day program for unsheltered homeless adults, a residential substance use treatment program for males experiencing homelessness, a psychiatric step-down respite program for those experiencing homelessness following psychiatric hospitalization, permanent supportive housing for formerly chronically homeless adults, a faith-based food distribution program, and homeless encampment sites in a large urban area. Participants were interviewed using The Substance Abuse and Mental Health Services Administration's National Outcome Measures tool and a validated health-related quality of life measurement tool, SF-36. Data were examined using in elastic net regression.

RESULTS

The study found seven factors to be particularly strong predictors of SF-36 general health scores. Male gender, "other" sexual identity, stimulant use, and Asian race were all associated with better perceptions of health status, while transgender status, inhalant use, and number of times arrested were associated with poorer perceptions.

CONCLUSION

This study suggests targeted areas for health screening within the homeless population; however, more studies are necessary to demonstrate generalizability of the results.

Easy to use and validated predictive models to identify beneficiaries experiencing homelessness in Medicaid administrative data

OBJECTIVE

To develop easy to use and validated predictive models to identify beneficiaries experiencing homelessness from administrative data.

DATA SOURCES

We pooled enrollment and claims data from enrollees of the California Whole Person Care (WPC) Medicaid demonstration program that coordinated the care of a subset of Medicaid beneficiaries identified as high utilizers in 26 California counties (25 WPC Pilots). We also used public directories of social service and health care facilities.

STUDY DESIGN

Using WPC Pilot-reported homelessness status, we trained seven supervised learning algorithms with different specifications to identify beneficiaries experiencing homelessness. The list of predictors included address- and claims-based indicators, demographics, health status, health care utilization, and county-level homelessness rate. We then assessed model performance using measures of balanced accuracy (BA), sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (area under the curve [AUC]).

DATA COLLECTION/EXTRACTION METHODS

We included 93,656 WPC enrollees from 2017 to 2018, 37,441 of whom had a WPC Pilot-reported homelessness indicator.

PRINCIPAL FINDINGS

The random forest algorithm with all available indicators had the best performance (87% BA and 0.95 AUC), but a simpler Generalized Linear Model (GLM) also performed well (74% BA and 0.83 AUC). Reducing predictors to the top 20 and top five most important indicators in a GLM model yields only slightly lower performance (86% BA and 0.94 AUC for the top 20 and 86% BA and 0.91 AUC for the top five).

CONCLUSIONS

Large samples can be used to accurately predict homelessness in Medicaid administrative data if a validated homelessness indicator for a small subset can be obtained. In the absence of a validated indicator, the likelihood of homelessness can be calculated using county rate of homelessness, address- and claim-based indicators, and beneficiary age using a prediction model presented here. These approaches are needed given the rising prevalence of homelessness and the focus of Medicaid and other payers on addressing homelessness and its outcomes.

Differential associations of homelessness with emergency department visits and hospitalizations by race, ethnicity, and gender

OBJECTIVE

To investigate the differential associations of homelessness with emergency department (ED) visits and hospitalizations by race, ethnicity, and gender.

DATA SOURCES

California Medicaid enrollment and claims.

STUDY DESIGN

We identified beneficiaries experiencing homelessness (BEH) and those who did not (NBEH) using diagnosis and place of service codes and residential addresses. Outcomes include four ED visit measures and four hospitalization measures. We compared the use of these services by BEH to NBEH overall and by race, ethnicity, and gender groups in regression models controlling for covariates.

DATA COLLECTION

We used a sample of Medicaid beneficiaries who met eligibility criteria for a California Medicaid demonstration program in 2017 and 2018 but were not enrolled in the program. We identified 473,069 BEH, and the rest (1,948,422) were considered NBEH. We used the 2018 data for utilization analyses and most covariates. We constructed lagged measures of health conditions using 2017 data.

PRINCIPAL FINDINGS

We found that homelessness was significantly associated with 0.34 more ED visits (p < 0.01) and a higher likelihood of frequent ED visits (2.77 percentage points [pp], p < 0.01), any ED visits due to mental health conditions (0.79 pp, p < 0.01), and any ED visits due to substance use disorders (1.47 pp, p < 0.01). Experiencing homelessness was also significantly associated with 0.03 more hospitalizations (p < 0.01), a higher likelihood of frequent hospitalizations (0.68 pp, p < 0.01) and high frequent hospitalizations (0.28 pp, p < 0.01), and a longer length of stay (0.53 days, p < 0.01). We found a larger association for American Indian and Alaska Native, Black, Native Hawaii or Pacific Islander, and White populations than that for Asian and Hispanic populations. The associations are larger for males than females.

CONCLUSIONS

Our findings identified distinct utilization patterns by race, ethnicity, and gender. They indicated the need for developing race, ethnicity, and gender-specific strategies to reduce ED visits and hospitalizations of BEH.

Mental illness among 500 people living homeless and referred for psychiatric evaluation in Lisbon, Portugal

BACKGROUND

Our goal was to identify the demographic profile of the people living homeless with mental illness in Lisboa, Portugal, and their relationship with the national healthcare system. We also tried to understand which factors contribute to the number and duration of psychiatric admissions among these homeless people.

METHODS

We used a cross-sectional design, collecting data for 4 years among homeless people, in Lisboa, Portugal, that were referred as possible psychiatric patients to Centro Hospitalar Psiquiátrico de Lisboa (CHPL). In total, we collected data from 500 homeless people, then cross-checked these people in our CHPL hospital electronic database and obtained 467 patient matches.

RESULTS

The most common psychiatric diagnosis in our sample was drug abuse (34%), followed by alcohol abuse (33%), personality disorder (24%), and acute stress reaction (23%). Sixty-two percent of our patients had multiple diagnoses, a subgroup with longer follow-ups, more psychiatric hospitalizations, and longer psychiatric hospitalizations. The prevalence of psychotic disorders was high: organic psychosis (17%), schizophrenia (15%), psychosis not otherwise specified (14%), and schizoaffective disorder (11%), that combined altogether were present in more than half (57%) of our homeless patients.

CONCLUSION

The people living homeless with multiple diagnoses have higher mental health needs and worse determinants of general health. An ongoing effort is needed to identify and address this subgroup of homeless people with mental illness to improve their treatment and outcomes.

Factors Associated With Hospital Readmission Among Patients Experiencing Homelessness

INTRODUCTION

Homelessness is associated with increased acute care utilization and poor healthcare outcomes. This study aims to compare hospital readmission rates among patients experiencing homelessness and patients who are not homeless and assess the impact of different clinical and demographic characteristics on acute care utilization among patients experiencing homelessness.

METHODS

This was a retrospective study of patients encountered in 2018 and 2019 at ChristianaCare Health Systems. The analysis was done in August 2021. The prevalence of major chronic conditions among patients experiencing homelessness (n=1,329) and those not experiencing it (n=143,360) was evaluated. Patients experiencing homelessness were matched with nonhomeless patients using 1:1 propensity score matching. Time-to-event analysis approaches were used to analyze time-to-readmission and 30-day readmission rates.

RESULTS

The 30-day readmission rates were 42.8% among patients experiencing homelessness and 19.9% among matched patients not experiencing homelessness. The hazard of 30-day readmission among patients experiencing homelessness was 2.6 (95% CI=1.93, 3.53) times higher than that among the matched nonhomeless cohort. In patients experiencing homelessness, drug use disorder, major depressive disorder, chronic kidney disease, obesity, arthritis, HIV/AIDS, and epilepsy were associated with shortened time to readmission. Moreover, Black racial identity was associated with shortened time to readmission.

CONCLUSIONS

Patients experiencing homelessness had higher acute care utilization than those not experiencing homelessness. Black racial identity and several comorbidities were associated with increased acute care utilization among patients experiencing homelessness. Efforts to address upstream social determinants of health, destigmatization, and healthcare management accounting for the whole spectrum of clinical comorbidities might be important in promoting the health of people experiencing homelessness.

Periods of Homelessness Linked to Higher VACS Index Among HIV-Positive People Who Use Drugs

We sought to evaluate the impact of homelessness on HIV disease progression among people who use unregulated drugs (PWUD) living with HIV and test if this association was mediated by adherence to antiretroviral therapy (ART). We applied general linear mixed-effects modeling to estimate the longitudinal relationship between homelessness and the Veterans Aging Cohort Study (VACS) Index, a validated measure of HIV disease progression that predicts all-cause mortality, among a prospective cohort of PWUD. In a longitudinal model adjusted for ART adherence, homelessness was significantly associated with increased VACS Index scores and 16% of the association was mediated by ART adherence. These findings indicate that homelessness was a significant risk factor for HIV disease progression and this association was marginally mediated by ART adherence. Future studies are needed to quantify the other mechanisms (e.g., food insecurity, mental health) by which homelessness increases mortality risk among PWUD living with HIV.

Reduced rate of postpartum readmissions among homeless compared with non-homeless women in New York: a population-based study using serial, cross-sectional data

Objective

To assess differences in rates of postpartum hospitalisations among homeless women compared with non-homeless women.

Design

Cross-sectional secondary analysis of readmissions and emergency department (ED) utilisation among postpartum women using hierarchical regression models adjusted for age, race/ethnicity, insurance type during delivery, delivery length of stay, maternal comorbidity index score, other pregnancy complications, neonatal complications, caesarean delivery, year fixed effect and a birth hospital random effect.

Setting

New York statewide inpatient and emergency department databases (2009–2014).

Participants

82 820 and 1 026 965 postpartum homeless and non-homeless women, respectively.

Main outcome measures

Postpartum readmissions (primary outcome) and postpartum ED visits (secondary outcome) within 6 weeks after discharge date from delivery hospitalisation.

Results

Homeless women had lower rates of both postpartum readmissions (risk-adjusted rates: 1.4% vs 1.6%; adjusted OR (aOR) 0.87, 95% CI 0.75 to 1.00, p=0.048) and ED visits than non-homeless women (risk-adjusted rates: 8.1% vs 9.5%; aOR 0.83, 95% CI 0.77 to 0.90, p<0.001). A sensitivity analysis stratifying the non-homeless population by income quartile revealed significantly lower hospitalisation rates of homeless women compared with housed women in the lowest income quartile. These results were surprising due to the trend of postpartum hospitalisation rates increasing as income levels decreased.

Conclusions

Two factors likely led to lower rates of hospital readmissions among homeless women. First, barriers including lack of transportation, payment or childcare could have impeded access to postpartum inpatient and emergency care. Second, given New York State’s extensive safety net, discharge planning such as respite and sober living housing may have provided access to outpatient care and quality of life, preventing adverse health events. Additional research using outpatient data and patient perspectives is needed to recognise how the factors affect postpartum health among homeless women. These findings could aid in lowering readmissions of the housed postpartum population.

Unstable Housing and Kidney Disease: A Primer

Stable housing is essential for health. Over 580,000 Americans experienced homelessness during one night in 2020, and over 37 million households spend over 30% of their income on housing. Unstable housing has been associated with mortality, acute care utilization, communicable and non-communicable diseases, a higher risk of kidney disease, and kidney disease progression. In this review, we define various forms of unstable housing, provide an overview of the interaction between unstable housing and health, and discuss existing evidence associating housing and kidney disease. We provide historical context for unstable housing in the United States, and detail policy, community, and individual-level factors that contribute to the risk of unstable housing. Unstable housing likely affects kidney health via a complex interplay of individual and structural factors. Various screening tools are available for use by providers. Special considerations should be made when working with individuals experiencing unstable housing to meet their unique needs, facilitate health care engagement, and optimize outcomes. Housing interventions have been shown to improve outcomes and should be examined for their role in kidney disease.

Trends and age-related characteristics of substance use in the hospitalized homeless population

We aimed to examine trends and characteristics of substance use (opioid, cocaine, marijuana, and heroin) among hospitalized homeless patients in comparison with other hospitalized patients in 3 states.This was a cross-sectional study, based on the 2007 to 2015 State Inpatient Data of Arizona, Florida, and Washington (n = 32,162,939). Use of opioid, cocaine, marijuana, heroin, respectively, was identified by the International Classification of Diseases, 9th Revision. Multi-level multivariable regressions were performed to estimate relative risk (RR) and 95% confidence intervals (CI). Dependent variables were the use of substances (opioid, cocaine, marijuana, and heroin), respectively. The main independent variable was homeless status. The subgroup analysis by age group was also conducted.Homeless patients were associated with more use of opioid (RR [CI]), 1.23 [1.20-1.26], cocaine 2.55 [2.50-2.60], marijuana 1.43 [1.40-1.46], and heroin 1.57 [1.29-1.91] compared to other hospitalized patients. All hospitalized patients including those who were homeless increased substance use except the use of cocaine (RR [CI]), 0.57 [0.55-0.58] for other patients and 0.60 [0.50-0.74] for homeless patients. In all age subgroups, homeless patients 60 years old or older were more likely to be hospitalized with all 4 types of substance use, especially, cocaine (RR [CI]), 6.33 [5.81-6.90] and heroin 5.86 [2.08-16.52] in comparison with other hospitalized patients.Homeless status is associated with high risks of substance use among hospitalized patients. Homeless elderly are particularly vulnerable to use of hard drugs including cocaine and heroin during the opioid epidemics.

Health-Care Utilization Due to Suicide Attempts Among Homeless Youth in New York State

Suicide remains the leading cause of death among homeless youth. We assessed differences in health-care utilization between homeless and nonhomeless youth presenting to the emergency department or hospital after a suicide attempt. New York Statewide Inpatient and Emergency Department Databases (2009-2014) were used to identify homeless and nonhomeless youth aged 10-17 who utilized health-care services following a suicide attempt. To evaluate associations with homelessness, we used logistic regression models for use of violent means, intensive care unit utilization, log-transformed linear regression models for hospitalization cost, and negative binomial regression models for length of stay. All models adjusted for individual characteristics with a hospital random effect and year fixed effect. We identified 18,026 suicide attempts with health-care utilization rates of 347.2 (95% confidence interval (CI): 317.5, 377.0) and 67.3 (95% CI: 66.3, 68.3) per 100,000 person-years for homeless and nonhomeless youth, respectively. Length of stay for homeless youth was statistically longer than that for nonhomeless youth (incidence rate ratio = 1.53, 95% CI: 1.32, 1.77). All homeless youth who visited the emergency department after a suicide attempt were subsequently hospitalized. This could suggest a higher acuity upon presentation among homeless youth compared with nonhomeless youth. Interventions tailored to homeless youth should be developed.

Typology of Currently or Formerly Homeless Individuals Based on Their Use of Health and Social Services

This study identified profiles among 455 currently or formerly homeless individuals in Quebec (Canada), based on health and social service use. Using latent class analysis, four profiles were identified that grouped individuals with: (1) few health problems, and using few case managers and family doctors, but with high frequency of psychiatric consultations, emergency department (ED) visits and hospitalizations; (2) chronic physical illnesses, having case managers and family doctors, but low frequency of ED visits and hospitalizations; (3) moderate health problems and little service use; and (4) multiple and complex health problems and high frequency of service use. These profiles suggest the following recommendations to more adequately meet patient needs: regarding Class 1, improved outreach services, more ED liaison nurses and peer navigation; Class 2: more family doctors and case managers; Class 3: higher family doctors; and Class 4: more assertive or intensive case management, harm reduction and permanent housing resources.

Computed tomography and emergency department frequency in homeless patients with seizures

Seizures are a common presentation to emergency departments in homeless patients. Seizures and epilepsy are often poorly managed in homeless patients. In this retrospective study, conducted in a large urban university hospital; we compared the number emergency department presentations and associated head computed tomography studies in a cohort of 88 homeless patients with seizures to an age and gender-matched housed cohort of patients over a five-year period. We found that homeless patients had a significantly increased number of presentations to the emergency department and a significantly higher number of head computed tomography, with a resulting increase in radiation exposure.

Efficiency of fine scale and spatial regression in modelling associations between healthcare service spatial accessibility and their utilization

BACKGROUND

Healthcare accessibility, a key public health issue, includes potential (spatial accessibility) and realized access (healthcare utilization) dimensions. Moreover, the assessment of healthcare service potential access and utilization should take into account the care provided by primary and secondary services. Previous studies on the relationship between healthcare spatial accessibility and utilization often used conventional statistical methods without addressing the scale effect and spatial processes. This study investigated the impact of spatial accessibility to primary and secondary healthcare services on length of hospital stay (LOS), and the efficiency of using a geospatial approach to model this relationship.

METHODS

This study focused on the ≥ 75-year-old population of the Nord administrative region of France. Inpatient hospital spatial accessibility was computed with the E2SFCA method, and then the LOS was calculated from the French national hospital activity and patient discharge database. Ordinary least squares (OLS), spatial autoregressive (SAR), and geographically weighted regression (GWR) were used to analyse the relationship between LOS and spatial accessibility to inpatient hospital care and to three primary care service types (general practitioners, physiotherapists, and home-visiting nurses). Each model performance was assessed with measures of goodness of fit. Spatial statistical methods to reduce or eliminate spatial autocorrelation in the residuals were also explored.

RESULTS

GWR performed best (highest R2 and lowest Akaike information criterion). Depending on global model (OLS and SAR), LOS was negatively associated with spatial accessibility to general practitioners and physiotherapists. GWR highlighted local patterns of spatial variation in LOS estimates. The distribution of areas in which LOS was positively or negatively associated with spatial accessibility varied when considering accessibility to general practitioners and physiotherapists.

CONCLUSIONS

Our findings suggest that spatial regressions could be useful for analysing the relationship between healthcare spatial accessibility and utilization. In our case study, hospitalization of elderly people was shorter in areas with better accessibility to general practitioners and physiotherapists. This may be related to the presence of effective community healthcare services. GWR performed better than LOS and SAR. The identification by GWR of how these relationships vary spatially could bring important information for public healthcare policies, hospital decision-making, and healthcare resource allocation.

High-intensity cannabis use and hospitalization: a prospective cohort study of street-involved youth in Vancouver, Canada

BACKGROUND

There is concern that cannabis use negatively affects vulnerable groups such as youth; however, the relationship between cannabis use and health care utilization has not been well characterized in this population. We longitudinally evaluated the association between daily cannabis use and hospitalization among a prospective cohort of street-involved youth.

METHODS

Data were collected from the At-Risk Youth Study (ARYS) in Vancouver, Canada, from September 2005 to May 2015. Participants were interviewed semi-annually and multivariable generalized estimating equation (GEE) logistic regression was used to examine the relationship between daily cannabis use and hospitalization.

RESULTS

A total of 1216 participants (31.2% female) were included in this analysis, and 373 (30.7%) individuals reported hospitalization at some point during the study period. In a multivariable GEE analysis, daily cannabis use was not significantly associated with hospitalization (Adjusted Odds Ratio [AOR] = 1.17, 95% Confidence interval [CI] = 0.84, 1.65). We did observe a significant interaction between daily cannabis use and sex (AOR = 0.51, 95% CI = 0.34, 0.77), whereby cannabis use was associated with a decreased odds of hospitalization among males (AOR = 0.60, 95% CI = 0.47, 0.78), yet was not significantly associated with hospitalization among females (AOR = 1.19, 95% CI = 0.84, 1.67).

CONCLUSIONS

The finding that daily cannabis use was not associated with hospitalization among street-involved youth is encouraging given the high rates of cannabis use in this population and the expansion of cannabis legalization and regulation. Future studies, however, are warranted to monitor possible changes in the consequences of cannabis use as cannabis legalization and regulation increase internationally.

Disparities in communication among the inpatient homeless population at a safety-net hospital

OBJECTIVE

To determine whether the homeless population experiences disparities in care and communication during inpatient hospitalizations in a safety-net hospital.

METHODS

We administered a modified Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey to 112 age-sex- and education matched homeless and non-homeless adults at a university-affiliated-safety-net hospital from December 2017 through March 2018 and performed a retrospective review of medical records. Linear regression models were used to assess differences in responses to survey subscales, length of stay and other measures.

RESULTS

Homeless participants trended toward poorer ratings for all HCAHPS subscales, reaching significance for the Communication about Medications subscale, with a mean score 1.2 (95% CI 0.48-1.76) points lower compared to non-homeless sample. Length of stay was not significantly different between homeless and non-homeless participants.

CONCLUSION

In an urban safety-net hospital, disparities in communications regarding medications between hospital staff and patients were found based on housing status.

Understanding Dermatologic Concerns Among Persons Experiencing Homelessness: A Scoping Review and Discussion for Improved Delivery of Care

There is a paucity of information surrounding dermatologic care for persons experiencing homelessness (PEH). This scoping review aims to map existing literature and provide a summary of the most common cutaneous manifestations among PEH, risk factors for dermatologic disease, describe any reported interventions, as well as identify research gaps for future studies. Search strategies developed for MEDLINE and hand searching yielded 486 articles. Out of the 486 articles screened, 93 articles met the inclusion criteria. The majority were cohort studies, cross-sectional studies, and case-control studies concentrated in North America and Europe. Excluding the pediatric population, the prevalence of dermatologic conditions ranged from 16.6% to 53.5%. Common skin conditions described in PEH were: acne, psoriasis, seborrheic dermatitis, atopic dermatitis, and lichen simplex chronicus. There were no studies comparing the extent or severity of these cutaneous diseases in PEH and the general population. PEH have a higher prevalence of skin infections and non-melanoma skin cancers. This scoping review has direct implications on public health interventions for PEH and highlights the need for evidence-based interventions to provide optimum and safe dermatologic healthcare for PEH. We propose several recommendations for improved care delivery, including addressing upstream factors and comorbidities impacting skin health, providing trauma informed care, reducing barriers to care, preventing and managing skin conditions, as well as including PEH in the planning and implementation of any proposed intervention.

Health Care Utilization Due to Substance Abuse Among Homeless and Nonhomeless Children and Young Adults in New York

OBJECTIVE

Substance abuse, particularly among homeless youths, is a significant public health challenge in the United States. Detailed data about health care utilization resulting from this preventable behavior remain sparse. This study aimed to compare health care utilization rates related to substance abuse among homeless and nonhomeless youths.

METHODS

A secondary data analysis evaluated records of homeless and nonhomeless patients under age 25 with a primary diagnosis of substance abuse, identified in 2013 and 2014 New York Statewide Inpatient and Emergency Department (ED) Databases. Outcomes included ED visit rate, hospitalization rate, in-hospital mortality, cost, length of stay (LOS), intensive care unit (ICU) utilization, and revisit or readmission rate. Multivariable regression models with a year fixed effect and facility random effect were used to evaluate the association between homelessness and each outcome.

RESULTS

A total of 68,867 cases included hospitalization or an ED visit related to substance abuse (68,118 nonhomeless and 749 homeless cases). Rates of ED visits related to substance abuse were 9.38 and 4.96, while rates of hospitalizations related to substance abuse were 10.53 and 1.01 per 1,000 homeless and nonhomeless youths, respectively. Homeless patients were more likely to utilize and revisit the ICU, be hospitalized or readmitted, incur higher costs, and have longer LOS than nonhomeless youths (all p<0.01).

CONCLUSIONS

The hospitalization and ED visit rates related to substance abuse were 10 and two times higher among homeless youths compared with nonhomeless youths, respectively. Detailed observation is needed to clarify whether homeless youths receive high-quality care for substance abuse when necessary.

Health Status and Chronic Disease Burden of the Homeless Population: An Analysis of Two Decades of Multi-Institutional Electronic Medical Records

Using a multi-institutional EMR registry, we extracted housing status and evaluated the presence of several important comorbidities in order to describe the demographics and comorbidity burden of persons experiencing homelessness in northeast Ohio and compare this to non-homeless individuals of varying socioeconomic position. Of 1,974,766 patients in the EMR registry, we identified 15,920 (0.8%) as homeless, 351,279 (17.8%) as non-homeless and in the top quintile of area deprivation index (ADI), and 1,607,567 (81.4%) as non-homeless and in the lower four quintiles of area deprivation. The comorbidity burden was highest in the homeless population with depression (48.1%), anxiety (45.8%), hypertension (44.2%), cardiovascular disease (18.4%), and hepatitis (18.1%) among the most prevalent conditions. We conclude that it is possible to identify homeless individuals and document their comorbidity burden using a multi-institutional EMR registry, in order to guide future interventions to address the health of the homeless at the health-system and community level.

Health Care Utilization of Homeless Minors With Diabetes in New York State From 2009 to 2014

OBJECTIVE

This study aims to describe differences in health care utilization between homeless and nonhomeless minors with diabetes.

RESEARCH DESIGN AND METHODS

Data from the Healthcare Cost and Utilization Project's Statewide Inpatient Database from New York for years 2009-2014 were examined to identify pediatric patients <18 years old with diabetes. Outcomes of interest included hospitalization rate, in-hospital mortality, admission through the emergency department (ED), diabetic ketoacidosis (DKA), hospitalization cost, and length of stay (LOS). Other variables of interest included age-group, race/ethnicity, insurance type, and year. Multivariate logistic regression models were used for in-hospital mortality, admission through ED, and DKA. Log-transformed linear regression models were used for hospitalization cost, and negative binomial regression models were used for LOS.

RESULTS

A total of 643 homeless and 10,559 nonhomeless patients were identified. The hospitalization rate was higher among homeless minors, with 3.64 per 1,000 homeless population compared with 0.38 per 1,000 in the nonhomeless population. A statistically significant higher readmission rate was detected among homeless minors (20.4% among homeless and 14.1% among nonhomeless, P < 0.01). Lower rates of DKA (odds ratio 0.75, P = 0.02), lower hospitalization costs (point estimate 0.88, P < 0.01), and longer LOS (incidence rate ratio 1.20, P < 0.01) were detected among homeless minors compared with nonhomeless minors.

CONCLUSIONS

This study found that among minors with diabetes, those who are homeless experience a higher hospitalization rate than the nonhomeless. Housing instability, among other environmental factors, may be targeted for intervention to improve health outcomes.

Combatting Homelessness in Canada: Applying Lessons Learned from Six Tiny Villages to the Edmonton Bridge Healing Program

Emerging evidence shows that homelessness continues to be a chronic public health problem throughout Canada. The Bridge Healing Program has been proposed in Edmonton, Alberta, as a novel approach to combat homelessness by using hospital emergency departments (ED) as a gateway to temporary housing. Building on the ideas of Tiny Villages, the Bridge Healing Program provides residents with immediate temporary housing before transitioning them to permanent homes. This paper aims to understand effective strategies that underlie the Tiny Villages concept by analyzing six case studies and applying the lessons learned to improving the Bridge Healing Program. After looking at six Tiny Villages, we identified four common elements of many successful Tiny Villages. These include a strong community, public support, funding with few restrictions, and affordable housing options post-graduation. The Bridge Healing Program emphasizes such key elements by having a strong team, numerous services, and connections to permanent housing. Furthermore, the Bridge Healing Program is unique in its ability to reduce repeat ED visits, lengths of stay in the ED, and healthcare costs. Overall, the Bridge Healing Program exhibits many traits associated with successful Tiny Villages and has the potential to address a gap in our current healthcare system.

Health system resource use among populations with complex social and behavioral needs in an urban, safety-net health system

BACKGROUND

Costs incurred by health systems when caring for populations with social or behavioral complexity are poorly understood. We compared the frequency and costs of unreimbursed care among individuals with complexity factors (homelessness, a history of county jail incarceration, and/or substance use disorder or mental illness [SUD/MI]).

METHODS

We conducted a cross-sectional analysis using electronic health record data for adults aged 18 and older between January 1, 2016 and December 31, 2017 from a Midwestern safety-net health system. Zero-inflated negative binomial regression models were used to assess risk-adjusted associations between complexity factors and care coordination encounters, missed appointments, and excess inpatient days.

RESULTS

Our sample included 154,719 unique patients; 6.8% were identified as homeless, 7.8% had a history of county jail incarceration, and 20.6% had SUD/MI. Individuals with complexity factors were more likely to be African-American, Native American, or covered by Medicaid. In adjusted models, homelessness and SUD/MI were significantly associated with care coordination encounters (RR 1.8 [95% CI,1.7-2.0]; RR 1.9 [95% CI,1.8-2.0]), missed appointments (RR 1.5 [95% CI,1.4-1.6]; RR 1.7 [95% CI,1.7-1.8]), and excess inpatient days (RR 1.5 [95% CI,1.3-1.8]; RR 2.8 [95% CI,2.5-3.1]). County jail incarceration was associated with a significant increase in missed appointments. In 2017, SUD/MI accounted for 81.8% ($7,773,000/$9,502,000) of excess costs among those with social or behavioral complexity.

CONCLUSIONS

Social and behavioral complexity are independently associated with high levels of unreimbursed health system resource use.

IMPLICATIONS

Future payment models should account for the health system resources required to care for populations with complex social and behavioral needs.

LEVEL OF EVIDENCE

IV.

Disparities in triage and management of the homeless and the elderly trauma patient

Background

Trauma systems are designed to provide specialized treatment for the most severely injured. As populations change, it is imperative for trauma centers to remain dynamic to provide the best care to all members of the community.

Methods

A retrospective review of all trauma patients treated at one Level II trauma center in Southern CA over 5 years. Three cohorts of patients were studied: geriatric (> 65 years), the homeless, and all other trauma patients. Triage, hospitalization, and outcomes were collected and analyzed.

Results

Of 8431 patients treated, 30% were geriatric, 3% homeless and 67% comprised all other patients. Trauma activation criteria was met for 84% of all other trauma patients, yet only 61% of homeless and geriatric patients combined. Injury mechanism for homeless included falls (38%), pedestrian/bicycle related (27%) and assaults (24%), often while under the influence of alcohol and drugs. Average length of hospital stay (LOS) was greater for homeless and geriatric patients and frequently attributed to discharge planning challenges. Both the homeless and geriatric groups demonstrated increased complications, comorbidities, and death rates.

Conclusions

Homeless trauma patients reflect similar challenges in care as with the elderly, requiring additional resources and more complex case management. It is prudent to identify and understand the issues surrounding patients transported to our trauma center requiring a higher level of care yet are under-triaged upon arrival to the Emergency Department. Although a monthly review is done for all under-triaged patients, and geriatric patients are acknowledged to be a cohort continually having delays, the homeless cohort continues to be under-triaged. The admitted homeless trauma patient has similar complex case management issues as the elderly related to pre-existing health issues and challenges with discharge planning, both which can add to longer lengths of hospital stay as compared to other trauma patients. Given the lack of social support that is endemic to both populations, these cohorts represent a unique challenge to trauma centers. Further research into specialized care is required to determine best practices to address disparities evident in the homeless and elderly, and to promote health equity in marginalized populations.

The Homelessness Crisis and Burn Injuries: A Cohort Study

The United States is facing a growing homelessness crisis. We characterize the demographics and outcomes of homeless patients who sustain burn injury and compare them to a cohort of domiciled patients. A retrospective cohort study was performed at the Los Angeles County + University of Southern California Regional Burn Center for consecutive acute burn admissions in adults from June 1, 2015, to December 31, 2018. Patients were categorized as either domiciled or homeless at the time of their injury. Prevalence rates were estimated using data from the regional homeless count. From 881 admissions, 751 (85%) had stable housing and 130 (15%) were homeless. The rate of burn injury requiring hospitalization for homeless adults was estimated at 88 per 100,000 persons. Homeless patients had a significantly larger median burn size (7 vs 5%, P < .05) and a greater rate of flame burns (68 vs 42%, P < .001). For the homeless, rates of assault and self-inflicted injury were 4- (18 vs 4%, P < .001) and 2-fold higher (9 vs 4%, P < .001), respectively. Homeless patients had higher rates of mental illness (32 vs 12%, P < .001) and substance abuse (88 vs 22%, P < .001), and were less likely to follow-up as outpatients (54 vs 87%, P < .001). There was no difference in mortality. Homeless patients had a longer median length of stay (LOS; 11 vs 7 days, P < .001) without significant differences in LOS per percentage TBSA. Homeless individuals should be considered a high-risk population for burn injury. This distinction serves as a call to action for the development of burn prevention strategies.

Homelessness and Hepatitis A-San Diego County, 2016-2018

BACKGROUND

Hepatitis A is a vaccine-preventable viral disease transmitted by the fecal-oral route. During 2016-2018, the County of San Diego investigated an outbreak of hepatitis A infections primarily among people experiencing homelessness (PEH) to identify risk factors and support control measures. At the time of the outbreak, homelessness was not recognized as an independent risk factor for the disease.

METHODS

We tested the association between homelessness and infection with hepatitis A virus (HAV) using a test-negative study design comparing patients with laboratory-confirmed hepatitis A with control subjects who tested negative for HAV infection. We assessed risk factors for severe hepatitis A disease outcomes, including hospitalization and death, using multivariable logistic regression. We measured the frequency of indications for hepatitis A vaccination according to Advisory Committee on Immunization Practices (ACIP) guidelines.

RESULTS

Among 589 outbreak-associated cases reported, 291 (49%) occurred among PEH. Compared with those who were not homeless, PEH had 3.3 (95% confidence interval [CI], 1.5-7.9) times higher odds of HAV infection, 2.5 (95% CI, 1.7-3.9) times higher odds of hospitalization, and 3.9 (95% CI, 1.1-16.9) times higher odds of death associated with hepatitis A. Among PEH, 212 (73%) patients recorded other ACIP indications for hepatitis A vaccination.

CONCLUSIONS

PEH were at higher risk of infection with HAV and of severe hepatitis A disease outcomes compared with those not experiencing homelessness. Approximately one-fourth of PEH had no other ACIP indication for hepatitis A vaccination. These findings support the recent ACIP recommendation to add homelessness as an indication for hepatitis A vaccination.

Forty Years of Research on Predictors of Homelessness

Homelessness is a chronic public health issue in the U.S. This paper reviews the endurance and evolution of individual, youth, and family homelessness over the past 40-plus years. Thematic findings detail research on predictors of homelessness among adolescents, runaway youth, veterans, older adults, sheltered families, and female-headed families. Results provide a summary of contributors to homelessness, including issues related to family instability, unemployment and poverty, mental illness, substance use, unstable living arrangements, child maltreatment, social support, crime, and violence. Findings highlight key and persistent predictors of homelessness found across decades, as well as more recently identified and nuanced precursors to individual or family displacement. The goal of this work was to summarize what is known about predictors of homelessness to inform targeted research, practice, and policies.

Cardiovascular Outcomes and Rehospitalization Rates in Homeless Patients Admitted With Acute Myocardial Infarction

OBJECTIVE

To study the in-hospital outcomes and 30-day readmission data in homeless patients admitted with acute myocardial infarction (AMI).

METHODS

Adult patients (>18 years of age) who were admitted with AMI between January 1, 2015, and December 31, 2016, were identified in the National Readmission Database. Patients were classified into homeless or non-homeless. Baseline characteristics, rates of invasive assessment and revascularization, mortality, 30-day readmission rates, and reasons for readmission were compared between the 2 cohorts.

RESULTS

A total of 3938 of 1,100,241 (0.4%) index hospitalizations for AMI involved homeless patients. Compared with non-homeless patients, homeless patients were younger (mean age, 57±10 years vs 68±14 years; P<.001) and had a lower prevalence of atherosclerotic risk factors (hypertension, hyperlipidemia, and diabetes) but a higher prevalence of anxiety, depression, and substance abuse. Homeless patients were less likely to undergo coronary angiography (38.1% vs 54%; P<.001), percutaneous coronary intervention (24.1% vs 38.7%; P<.001), or coronary artery bypass grafting (4.9% vs 6.7%; P<.001). Among patients who underwent percutaneous coronary intervention, bare-metal stent use was higher in homeless patients (34.6% vs 12.1%; P<.001). After propensity score matching, homeless patients had similar mortality but higher rates of acute kidney injury, discharge to an intermediate care facility or against medical advice, and longer hospitalizations. Thirty-day readmission rates were significantly higher in homeless patients (22.5% vs 10%; P<.001). Homeless patients had more readmissions for psychiatric causes (18.0% vs 2.0%; P<.001).

CONCLUSION

Considerable differences in cardiovascular risk profile, in-hospital care, and rehospitalization rates were observed in the homeless compared with non-homeless cohort with AMI. Measures to remove the health care barriers and disparities are needed.

Characterization of Chronic Sinonasal Disease Symptoms in an Urban Homeless Population

BACKGROUND

The urban homeless population has increased exposure to risk factors associated with chronic rhinosinusitis (CRS). However, a gap in knowledge of the prevalence of sinonasal symptoms in these demographic limits complete understanding of CRS epidemiology. There is a need to elucidate sinonasal disease burden in this vulnerable patient population to bring awareness to any existing disparities.

OBJECTIVE

To assess the prevalence, severity, and associated factors of CRS clinical symptoms and health-care barriers in an urban homeless population.

METHODS

Homeless adults completed a sociodemographic questionnaire and the 22-item Sinonasal Outcome Test (SNOT-22) and EuroQol-5 Dimension-3 Level-Visual Analog Scale surveys. Responses were categorized by potential CRS symptoms defined as reporting at least 2 CRS cardinal symptoms. Risk factors associated with potential CRS symptoms were analyzed with multivariate regression models.

RESULTS

Fifty-six (16%) out of 341 total subjects reported potential CRS symptoms. Those with potential CRS symptoms had a higher median SNOT-22 score (53 vs 22, P < .001) than those without. Logistic regression models identified history of smoking (odds ratio [OR], 6.54; 95% confidence interval [CI], 2.04-21.04) and duration of homelessness over 3 months (OR, 3.46; CI, 1.51-7.94) as factors associated with potential CRS symptoms. Duration of homelessness over 3 months was associated with higher SNOT-22 scores (standardized beta coefficient [β], 0.48; CI, 0.39-0.57). Among those reporting 2 or more CRS cardinal symptoms, 18% had ever been seen by any physician for their symptoms.

CONCLUSIONS

Our study estimates a high prevalence of potential CRS symptoms in the urban homeless population. Longer duration of homelessness was associated with potential CRS symptoms and poor CRS-specific quality of life scores. Disparities in access to care emphasize the need for increased preventive efforts designed for this unique patient group.

Pharmacist impact on health outcomes in a homeless population

OBJECTIVE

The aim of this study was to analyze the effect of clinical pharmacy services on health outcomes and medication adherence concerning hypertension and diabetes in the homeless population.

METHODS

This was a retrospective quasi-experimental study conducted between January 1, 2015, and December 31, 2016. The primary outcomes included median blood pressure and median glycosylated hemoglobin (A1C) change from baseline. The secondary end points included adherence to hypertension and diabetes medication, in addition to the differences in the number of admissions to urgent care clinics, emergency departments, or hospitals pre- and postpharmacist clinic visit.

RESULTS

One-hundred ninety-eight homeless patients were seen by a pharmacist over the study time frame, and 116 of these patients were included. There was a decrease in systolic and diastolic blood pressure in the 6-months postpharmacist visit (139 mm Hg vs. 135 mm Hg, P = 0.413, and 85 mm Hg vs. 82 mm Hg, P = 0.197, respectively). The percentage of patients who met the blood pressure goals increased from 55% to 66% (P = 0.093). A statistically significant decrease in A1C was found (7.7% vs 7.2%, P = 0.038). The number of patients who met the A1C goal increased from 20% to 41% (P = 0.267) after pharmacist intervention. No medication class was associated with a median proportion of days covered of 80% or greater. However, differences were seen with biguanides (34% vs. 43%, P = 0.004), calcium channel blockers (44% vs. 59%, P < 0.001), and thiazides (28% vs. 39%, P = 0.039) pre- and postintervention. There was no difference in the number of visits to emergency departments or urgent care clinics, or hospitalizations.

CONCLUSION

Homeless patients with hypertension and type 2 diabetes who had at least 1 visit with a pharmacist showed some improved health outcomes. Statistically significant benefits were seen in diabetes management, but not for blood pressure control.

Housing situation and healthcare for patients in a psychiatric centre in Berlin, Germany: a cross-sectional patient survey

OBJECTIVE

To determine the housing situation among people seeking psychiatric treatment in relation to morbidity and service utilisation.

DESIGN

Cross-sectional patient survey.

SETTING

Psychiatric centre with a defined catchment area in Berlin, Germany, March-September 2016.

PARTICIPANTS

540 psychiatric inpatients including day clinics (43.2% of all admitted patients in the study period (n=1251)).

MAIN OUTCOME MEASURES

Housing status 30 days prior the interview as well as influencing variables including service use, psychiatric morbidity and sociodemographic variables.

RESULTS

In our survey, 327 participants (68.7%) currently rented or owned an own apartment; 62 (13.0%) reported to be homeless (living on the street or in shelters for homeless or refugees); 87 (18.3%) were accommodated in sociotherapeutic facilities. Participants without an own apartment were more likely to be male and younger and to have a lower level of education. Homeless participants were diagnosed with a substance use disorder significantly more often (74.2%). Psychotic disorders were the highest among homeless participants (29.0%). Concerning service use, we did neither find a lower utilisation of ambulatory services nor a higher utilisation of hospital-based care among homeless participants.

CONCLUSIONS

Our findings underline the need for effective housing for people with mental illness. Despite many sociotherapeutic facilities, a concerning number of people with mental illness is living in homelessness. Especially early interventions addressing substance use might prevent future homelessness.

Risk of homelessness after discharge from psychiatric wards in Denmark: a nationwide register-based cohort study

OBJECTIVE

To examine the absolute and relative risk of homelessness following discharge from psychiatric wards in Denmark.

METHODS

A nationwide, register-based, cohort study including people aged 18+ years discharged from psychiatric wards in Denmark between 1 January 2001 and 31 December 2015. We analysed associations between psychiatric diagnoses and risk of homelessness using survival analysis.

RESULTS

A total of 126 848 psychiatric in-patients were included accounting for 94 835 person-years. The incidence of homelessness one year following discharge was 28.18 (95% CI 26.69-29.75) and 9.27 (95% CI 8.45-10.16) per 1000 person-years at risk in men and women respectively. The one-year cumulative probability of first homelessness after discharge from psychiatric wards was 1.58% (95% CI 1.48-1.68) in males and 0.55% (95% CI 0.50-0.61) in females. Substance use disorders increased the risk of homelessness after discharge with adjusted incidence rate ratios of 6.60 (95% CI 5.19-8.40) (men) and 13.06 (95% CI 9.31-18.33) (women), compared with depressive disorders. Prior history of homelessness was an important predictor for homelessness following discharge.

CONCLUSIONS

The first year following discharge from psychiatric wards is a high-risk period of homelessness, especially when having a substance use disorder or a prior history of homeless shelter contact. Improved efforts to prevent homelessness are needed.

The Effect of Health Insurance on the Utilization of Health Services: A Systematic Review and Meta-Analysis

Insurance organizations are among the most influential organizations in the health system, which can lead to healthcare efficiency and patient satisfaction in case they are increasingly accessed. The main purpose of the present systematic review was to examine the effect of health insurance on the utilization of health services and also to examine the factors affecting it. The present study was a systematic review that aimed to examine the effect of health insurance on the utilization of health care services. The study was conducted in 2016 using Scopus, PubMed, Web of Science, Science Direct, and ProQuest databases. We examined the utilization rate of health insurance in insured people. The inclusion and exclusion criteria were included based on review and meta-analysis purposes. The utilization of health services increased for inpatient and outpatient services. The utilization rate of inpatient services increased by 0.51% whereas the utilization rate of outpatient services increased by 1.26%. We classified the variables affecting the utilization rate of insurance into three main categories and sub-categories: demographic variables of the household, socioeconomic status, and health status. Our study showed that insured people increased the utilization rate of health services, depending on the type of health services. Thus, health policymakers should consider the community's health insurance as a priority for health programs. For now, implementing universal health insurance is a good solution.

Association between socioeconomic deprivation and surgical complications in adults undergoing ankle fracture fixation: a population-based analysis

Background

Few studies have investigated the outcomes of surgical fracture care among socially deprived patients despite the increased incidence of fractures and the inequality of care received in this group. We evaluated whether socioeconomic deprivation affected the complications and subsequent management of marginalized/homeless patients following surgery for ankle fracture.

Methods

In this retrospective, population-based cohort study involving 202 hospitals in Ontario, Canada, we evaluated 45 444 patients who underwent open reduction and internal fixation (ORIF) for ankle fracture performed by 710 different surgeons between Jan. 1, 1994, and Dec. 31, 2011. Multivariable logistic regression models were used to assess the association between deprivation and shorter-term outcomes within 1 year (implant removal, repeat ORIF, irrigation and débridement owing to infection, and amputation). Multivariable Cox proportional hazards models were used to assess longer-term outcomes up to 20 years (ankle fusion and ankle arthroplasty).

Results

A higher level of deprivation was associated with an increased risk of irrigation and débridement (quintile 5 v. quintile 1: odds ratio [OR] 2.14, 95% confidence interval [CI] 1.25–3.67, p = 0.0054) and amputation (quintile 4 v. quintile 1: OR 3.56, 95% CI 1.01–12.4, p = 0.0466). It was more common for less deprived patients to have their hardware removed (quintile 5 v. quintile 1: OR 0.822, 95% CI 0.76–0.888, p < 0.0001). There was no correlation between marginalization and subsequent revision ORIF, ankle fusion, or ankle arthroplasty.

Conclusion

Marginalized patients are at a significantly increased risk of infection and amputation following surgical treatment of ankle fractures. However, these complications are still extremely uncommon among this group. Socioeconomic deprivation should not prohibit marginalized patients from receiving surgery for unstable ankle fractures.

Asthma Hospitalizations Among Homeless Children in New York State

BACKGROUND AND OBJECTIVES

Asthma is widely prevalent among US children, particularly in homeless children, who often lack proper medication storage or the ability to avoid environmental triggers. In this study, we assess asthma-attributed health care use among homeless youth. We hypothesize that asthma hospitalization rates, symptom severity, and admission through the emergency department (ED) will be higher among homeless youth compared with nonhomeless youth.

METHODS

This secondary data analysis identified homeless and nonhomeless pediatric patients (<18 years old) with a primary diagnosis of asthma from New York statewide inpatient databases between 2009 and 2014. Hospitalization rate, readmission rate, admission through the ED, ventilation use, ICU admittance, hospitalization cost, and length of stay were measured.

RESULTS

We identified 71 837 asthma hospitalizations, yielding 73.8 and 2.3 hospitalizations per 1000 homeless and nonhomeless children, respectively. Hospitalization rates varied by nonhomeless income quartile, with low-income children experiencing higher rates (5.4) of hospitalization. Readmissions accounted for 16.0% of homeless and 12.5% of nonhomeless hospitalizations. Compared with nonhomeless patients, homeless patients were more likely to be admitted from the ED (odds ratio 1.96; 95% confidence interval: 1.82-2.12; P < .01), and among patients >5 years old, homeless patients were more likely to receive ventilation (odds ratio 1.45; 95% confidence interval: 1.01-2.09; P = .04). No significant differences were observed in ICU admittance, cost, or length of stay.

CONCLUSIONS

Homeless youth experience an asthma hospitalization rate 31 times higher than nonhomeless youth, with higher rates of readmission. Homeless youth live under uniquely challenging circumstances. Tailored asthma control strategies and educational intervention could greatly reduce hospitalizations.

Trends, Causes, and Outcomes of Hospitalizations for Homeless Individuals: A Retrospective Cohort Study

OBJECTIVES

In the United States, an estimated 553,000 people are homeless on any given night. Few data provide large-scale, contemporary insight with regard to recent patterns of acute illness in this vulnerable population. We evaluated patterns, causes, and outcomes of acute hospitalization among homeless persons compared with a demographics-standardized and risk-standardized nonhomeless cohort.

METHODS

Retrospective study comparing 185,292 hospitalizations for homeless individuals and 32,322,569 hospitalizations for demographics-standardized nonhomeless individuals between 2007 and 2013 in Massachusetts, Florida, and California. Annual hospitalization rates for homeless persons were calculated and causes of hospitalization were compared with a demographics-standardized nonhomeless cohort. Logistic and linear regression models were used to estimate risk-standardized outcomes.

RESULTS

From 2007 to 2013, hospitalizations for the homeless increased in Massachusetts (294 to 420 hospitalizations per 1000 homeless residents), Florida (161 to 240/1000), and California (133 to 164/1000). Homeless patients were on average 46 years of age, often male (76.1%), white (62%), and either uninsured (41.9%) or insured by Medicaid (31.7%). Hospitalizations for homeless persons, compared with demographics-standardized nonhomeless, were more frequently for mental illness and substance use disorder (52% vs. 18%, P<0.001). Homeless compared with risk-standardized nonhomeless individuals had lower in-hospital mortality rates (0.9% vs. 1.2%, P<0.001), longer mean length of stay (6.5 vs. 5.9 d, P<0.001), and lower mean costs per day ($1 535 vs. $1 834, P<0.001).

CONCLUSIONS

Hospitalizations among homeless persons are rising. Despite greater policy and public health focus over the last few decades, mental illness and substance use remain primary drivers of acute hospitalization among homeless adults. Policy efforts should address barriers to the use of ambulatory care services, and behavioral health services in particular, to help reduce acute care use and improve the long-term health of homeless individuals.

Health supports needed for homeless persons transitioning from hospitals

Being homeless has a negative effect on health and the health needs of individuals experiencing homelessness are complex and challenging to address. As a result of limited access to and use of primary healthcare, the main point of entry into the healthcare system for individuals experiencing homelessness is often hospitals and emergency departments. Persons experiencing homelessness are commonly discharged from hospital settings to locations that do not support recovery or access to follow-up care (e.g. shelters or the street). This can be costly to both the healthcare system and to individuals' health and quality of life. We conducted a scoping review of the literature published between 2007 and 2017 to identify the types of health supports needed for persons experiencing homelessness who are discharged from the hospital. Thirteen literature sources met inclusion criteria and thematic data analyses by two researchers resulted in the identification of six themes related to the types of health supports needed for persons experiencing homelessness who are transitioning (i.e. being discharged) from the hospital. Using a community consultation approach, the scoping review themes were validated with 23 health and shelter service providers and included in our integrated findings. Themes included: (a) a respectful and understanding approach to care, (b) housing assessments, (c) communication/coordination/navigation, (d) supports for after-care, (e) complex medical care and medication management, and (f) basic needs and transportation. These themes were found to resonate with participants of the community consultation workshop. Recommendations for trauma-informed care and patient- or client-centred care approaches are discussed.

Comparison of clinical characteristics and outcomes between homeless and non-homeless patients admitted to intensive care units: An observational propensity-matched cohort study in Korea

PURPOSE

To compare clinical characteristics and outcomes between critically ill homeless and non-homeless patients admitted to the intensive care unit (ICU) in a Korea.

MATERIALS AND METHODS

We retrospectively analyzed the medical charts of homeless and non-homeless patients admitted to ICU at Seoul Boramae Medical Center between January 2012 and December 2017. Patients were selected using 1: 2 propensity score matching including age, sex, and type of ICU and multivariate analyses were performed to determine risk factors for hospital and ICU mortality.

RESULTS

56 homeless and 112 non-homeless matched patients were analyzed. The homeless patients were younger, included more men, and exhibited significantly higher readmission and ER admission rates. Although hospital and ICU mortality rates were similar between two groups, the homeless patients were significantly less likely to have family or substitute decision-makers and generally died after cardiopulmonary resuscitation. Adjusted multivariate analysis showed that homelessness was not an independent predictor of ICU or hospital mortality. The length of ICU stay was comparable between groups.

CONCLUSIONS

In Korea, ICU-admitted homeless patients are well managed without differences in terms of organ support quality and exhibit the same prognosis as non-homeless patients. However, the quality of end-of-life care for homeless patients remains poor.

The Epidemiology of Cancer Among Homeless Adults in Metropolitan Detroit

BACKGROUND

Homeless individuals suffer and die disproportionately from chronic diseases and disorders. We describe the epidemiology of cancer among homeless persons in metropolitan Detroit.

METHODS

A retrospective cohort study was performed using 1973-2014 data from the Metropolitan Detroit Cancer Surveillance System, a population-based cancer registry and member of the National Institutes of Health-National Cancer Institute's Surveillance, Epidemiology, and End Results program. Homeless adults were identified through address at diagnosis listed as a homeless shelter, hospital, or supplemental field indicating homelessness. Age-adjusted, sex-specific proportional incidence ratios (PIR) compared cancer incidence proportions by primary tumor site of homeless patients to the nonhomeless referent population. Kaplan-Meier curves depicted unadjusted survival differences in a propensity score matched sample. Differences in 10-year survival were assessed using the score test with a sandwich estimator accounting for matched cluster effects. Statistical tests were two-sided.

RESULTS

A total of 388 individuals experienced homelessness at first primary invasive cancer diagnosis. Statistically significantly higher proportions of respiratory system (PIR = 1.51; 95% confidence interval = 1.28 to 1.79) and female genital system (PIR = 1.83; 95% confidence interval = 1.31 to 2.55) cancers were observed among homeless men and women, respectively. Homeless persons had poorer overall and cancer-reported survival compared with a propensity score matched referent population (median: overall survival, 20.0 vs 38.0 months, respectively, P < .001; cancer-reported survival, 38.0 vs 64.0 months, respectively, P  < .001).

CONCLUSION

Disparities in disease burden exist between adults who are experiencing homelessness compared with the nonhomeless population at cancer diagnosis. These findings provide clinically relevant information to understand the cancer burden in this medically underserved population and suggest an urgent need to develop cancer prevention and intervention programs to reduce disparities and improve the health of homeless persons.

Costs Associated with Health Care Services Accessed through VA and in the Community through Medicare for Veterans Experiencing Homelessness

OBJECTIVE

To estimate health care utilization and costs incurred by homeless Veterans relative to nonhomeless Veterans and to examine the impact of a VA homelessness program on these outcomes.

DATA SOURCES/STUDY SETTING

Combined Department of Veterans Affairs (VA) administrative and Medicare claims data.

STUDY DESIGN

Observational study using longitudinal data from Veterans engaged with the VA system and enrolled in Medicare. Veterans with administrative evidence of homelessness at any point during 2006-2010 were matched on period of military service to Veterans with no evidence of homelessness.

PRINCIPAL FINDINGS

Experience of homelessness was associated with 1.37 (95 percent CI = 1.34-1.40) and 0.16 (95 percent CI = 0.14-0.17) more outpatient encounters per quarter in VA and non-VA settings, respectively, and 1.31 (95 percent CI = 1.30-1.32) and 0.49 (95 percent CI = 0.48-0.49) more inpatient days per quarter in VA and non-VA hospitals, respectively. These were associated with higher costs. Relative to stably housed Veterans less than 65 years of age, those enrolled in a VA homelessness program had 94.4 percent (95 percent CI = 90.7 percent-98.1 percent) more VA outpatient visits but 5.5 percent (95 percent CI = 3.0 percent-7.9 percent) fewer Medicare outpatient visits.

CONCLUSIONS

Homelessness was associated with an increase in VA and Medicare utilization and cost. A VA homelessness program decreased use of Medicare outpatient services.

Predictive modeling of housing instability and homelessness in the Veterans Health Administration

OBJECTIVE

To develop and test predictive models of housing instability and homelessness based on responses to a brief screening instrument administered throughout the Veterans Health Administration (VHA).

DATA SOURCES/STUDY SETTING

Electronic medical record data from 5.8 million Veterans who responded to the VHA's Homelessness Screening Clinical Reminder (HSCR) between October 2012 and September 2015.

STUDY DESIGN

We randomly selected 80% of Veterans in our sample to develop predictive models. We evaluated the performance of both logistic regression and random forests-a machine learning algorithm-using the remaining 20% of cases.

DATA COLLECTION/EXTRACTION METHODS

Data were extracted from two sources: VHA's Corporate Data Warehouse and National Homeless Registry.

PRINCIPAL FINDINGS

Performance for all models was acceptable or better. Random forests models were more sensitive in predicting housing instability and homelessness than logistic regression, but less specific in predicting housing instability. Rates of positive screens for both outcomes were highest among Veterans in the top strata of model-predicted risk.

CONCLUSIONS

Predictive models based on medical record data can identify Veterans likely to report housing instability and homelessness, making the HSCR screening process more efficient and informing new engagement strategies. Our findings have implications for similar instruments in other health care systems.