The revolving hospital door: hospital readmissions among patients who are homeless

"I Don't Want to Die on the Street": Patient and Practitioner Perspectives on Street-Based Care for Older Adults Experiencing Unsheltered Homelessness

BACKGROUND

Unsheltered older adults experiencing homelessness constitute the fastest-growing segment of the US unhoused population. Research shows that older unsheltered adults have more chronic health conditions and experience accelerated aging. Little is known about the unique considerations in providing care and support for this population.

OBJECTIVE

To explore the experiences of aging and managing serious illness from people experiencing unsheltered homelessness and from the street medicine team members who care for them.

DESIGN

Qualitative, semi-structured in-depth individual interviews.

PARTICIPANTS

Street medicine team members and patients receiving street medicine in Los Angeles.

APPROACH

Interviews were guided by a semi-structured interview guide developed by the team, audio-recorded, and transcribed verbatim. Field notes supplemented transcripts. Transcripts and field notes were analyzed by two independent coders following a thematic analysis approach rooted in grounded theory.

KEY RESULTS

Eight street medicine team members with varying experience caring for patients experiencing homelessness (1-16 years) and from multidisciplinary backgrounds were interviewed. Team members were, on average, 39 years old (SD 7.4 years), 63% female, and 50% white. Eight patients were interviewed and identified as male (63%), having 3 + chronic health conditions (100%), and aged on average 56 years (range 50-71; SD 4.7 years). Thematic analysis of the interviews revealed two major themes on challenges and considerations for the following: (1) Caring for older adults experiencing unsheltered homelessness (subthemes: Medical, Interpersonal, Environmental, and Systemic), and (2) Shelter, long-term care, and end-of-life planning among older adults experiencing unsheltered homelessness (subthemes: Permanent shelter, Rehabilitative and institutional care, and End-of-life care planning).

CONCLUSIONS

Team member and patient perspectives offered insight into significant challenges faced when trying to apply conventional healthcare practices to the unique circumstances of the unsheltered setting. Findings suggest actionable strategies with implications for both policy and practice to better meet the needs of unsheltered homeless older adults.

Self-Reported Perception of Voluntary Psychiatric Hospitalization and Underlying Needs: A Cross-Sectional Study of Patients on a Psychiatric Unit in a Safety Net Hospital

Unmet social needs are a significant reason for increased psychiatric readmission rates. However, there is a paucity of literature to suggest patients contribute to this increased rate by reporting more severe symptoms. Our study assessed voluntarily hospitalized psychiatric patients' perceptions of underlying needs within a safety net hospital. In a cross-sectional anonymous survey, 58 of 100 voluntarily hospitalized English-speaking psychiatric patients reported they would not need hospitalization if they had stable housing. Forty-one reported similarly if they had disability income. Thirty-one percent of participants indicated that they had reported more severe symptoms in the past to gain psychiatric admission, and 26% indicated they reported more severe psychiatric symptoms at the time of the survey. Of those reporting more severe symptoms, 73% reported they needed help with housing, and 57% needed help with disability benefits. This preliminary work represents a starting point to better understand patient needs and provide appropriate levels of care.

Social Risk and Acute Health Care Utilization Among Insured Adults

Importance

Millions of Americans are impacted by adverse social risk factors such as financial strain, housing instability, and food insecurity. A better understanding of if and how these factors are associated with acute care utilization is needed.

Objective

To examine the association between exposure to social risk factors and emergency department (ED) visits and hospitalizations among a sample of insured adults.

Design, Setting, and Participants

This cohort study used US health data from a national initiative that employed a multistage, stratified sampling framework across 8 regional markets of an integrated health care delivery system. Eligible participants were insured adults who responded to health surveys. Population-based samples were taken proportionate to the sex and age distribution of each market.

Exposures

Validated survey questions captured social risk exposure (positive screening for financial strain, housing instability, and/or food insecurity) during the past year; across 2 survey waves (2020, 2022). Self-reported social risk was categorized into mutually exclusive risk levels, social risk vs no social risk.

Main Outcomes and Measures

Primary outcome was acute health care utilization defined as time to the first event (ED visit, hospitalization) observed following the first survey completion (January 2020 to July 2023). Weighted Cox proportional hazards regression examined the association between social risk and subsequent care utilization, adjusting for demographic and clinical covariates.

Results

The analytic cohort included 9785 survey respondents. The weighted cohort data (mean age, 48.4 years [95% CI, 47.9-48.9 years]) included 54.1% female respondents (95% CI, 52.3%-55.9%); 14.6% of the sample were Asian (95% CI, 13.3%-16.0%), 8.1% Black (95% CI, 7.3%-9.1%), 27.1% Hispanic (95% CI, 25.5%-28.8%), and 43.6% non-Hispanic White (95% CI, 41.2%-44.7%); and 50.3% reported exposure to 1 or more social risk factor. During the follow-up period (median [IQR], 3.48 [3.01-3.50] years), 25.4% (95% CI, 22.9%-28.1%) and 10.3% (95% CI, 8.9%-11.9%) of the cohort experienced an ED visit and hospitalization, respectively. Utilization rates varied by level of social risk exposure. Respondents who reported any social risk had a 21% higher risk of an ED visit compared with those with no social risk exposure (adjusted hazard ratio [HR], 1.21 [95% CI, 1.03-1.41]). Social risk was not associated with hospitalizations (adjusted HR, 1.05 [95% CI, 0.84-1.32]).

Conclusions and Relevance

In this cohort of 9785 adults, the significant association between social risk and time to first ED event warrants future study to determine if improved social risk are associated with lower ED utilization.

Predictors for Emergency Admission Among Homeless Metastatic Cancer Patients and Association of Social Determinants of Health with Negative Health Outcomes

BACKGROUND/OBJECTIVES

Social determinants of health (SDOHs) are especially impactful with respect to emergency reliance among patients with cancer.

METHODS

To better predict the extent to which SDOHs affect emergency admissions in homeless patients with metastatic disease, we employed machine learning models, Lasso, ridge, random forest (RF), and elastic net (EN) regression. We also examined prostate cancer (PC), breast cancer (BC), lung (LC) cancer, and cancers of the lip, oral cavity, and pharynx (CLOP) for association between key SDOH variables-homelessness and living alone-and clinical outcomes. For this, we utilized generalized linear models to assess the association while controlling for patient and clinical characteristics. We used the United States National Inpatient Sample database for this study.

RESULTS

There were 2635 (weighted) metastatic cancer patients with homelessness. Transfer from another facility or not, elective admission or not, deficiency anemia, alcohol dependence, weekend admission or not, and blood loss anemia were the important predictors of emergency admission. C-statistics were associated with Lasso (train AUC-0.85; test AUC-0.86), ridge (85, 88), RF (0.96, 0.85), and EN (0.83, 0.80), respectively. In the adjusted analysis, PC homelessness was significantly associated with anxiety and depression (5.15, 95% CI: 3.17-8.35) and a longer LOS (1.96; 95% CI: 1.03-3.74). Findings were comparable in the BC, LC, and CLOP cohorts. Cancer patients with poor SDOHs presented with the worst clinical outcomes.

CONCLUSIONS

Cancer patients with poor SDOH presented with worst clinical outcomes. The findings of this study highlight a vacuum in the cancer literature, and the recommendations stress the value of social support in achieving a better prognosis and Quality of life.

Back on the Streets: Examining Emergency Department Return Rates for Unhoused Patients Discharged After Trauma

BACKGROUND

The unhoused population is at high risk for traumatic injuries and faces unique challenges in accessing follow-up care. However, there is scarce data regarding differences in Emergency Department (ED) return rates and reasons for return between unhoused and housed patients.

METHODS

We conducted a 3-year retrospective cohort study at a level-1 trauma center in a large metropolitan area. All patients who presented to the ED with traumatic injuries and were discharged without hospital admission were included in the study. The primary outcome was ED returns for trauma-related complications or new traumatic events <6 months after discharge. Patient characteristics and study outcomes were compared between housed and unhoused groups.

RESULTS

A total of 4184 patients were identified, of which 20.3% were unhoused. Compared to housed, unhoused patients were more likely to return to the ED (18.8% vs 13.9%, P < .001), more likely to return for trauma-related complications (4.6% vs 3.1%, P = .045), more likely to return with new trauma (7.1% vs 2.8%, P < .001), and less likely to return for scheduled wound checks (2.5% vs 4.3%, P = .012). Of the patients who returned with trauma-related complications, unhoused patients had a higher proportion of wound infection (20.5% vs 5.7%, P = .008). In the regression analysis, unhoused status was associated with increased odds of ED return with new trauma and decreased odds of return for scheduled wound checks.

CONCLUSIONS

This study observed significant disparities between unhoused and housed patients after trauma. Our results suggest that inadequate follow-up in unhoused patients may contribute to further ED return.

Healthcare workers' perspectives on a prescription phone program to meet the health equity needs of patients in the emergency department: a qualitative study

OBJECTIVES

People experiencing homelessness and marginalization face considerable barriers to accessing healthcare services. Increased reliance on technology within healthcare has exacerbated these inequities. We evaluated a hospital-based prescription phone program aimed to reduce digital health inequities and improve access to services among marginalized patients in Emergency Departments. We examined the perceived outcomes of the program and the contextual barriers and facilitators affecting outcomes.

METHODS

We conducted a constructivist qualitative program evaluation at two urban, academic hospitals in Toronto, Ontario. We interviewed 12 healthcare workers about their perspectives on program implementation and outcomes and analyzed the interview data using reflexive thematic analysis.

RESULTS

Our analyses generated five interrelated program outcomes: building trust with patients, facilitating independence in healthcare, bridging sectors of care, enabling equitable care for marginalized populations, and mitigating moral distress among healthcare workers. Participants expressed that phone provision is critical for adequately serving patients who face barriers to accessing health and social services, and for supporting healthcare workers who often lack resources to adequately serve these patients. We identified key contextual enablers and challenges that may influence program outcomes and future implementation efforts.

CONCLUSIONS

Our findings suggest that providing phones to marginalized patient populations may address digital and social health inequities; however, building trusting relationships with patients, understanding the unique needs of these populations, and operating within a biopsychosocial model of health are key to program success.

Meeting the Health and Social Needs of America's Unhoused and Housing-Unstable Populations: A Position Paper From the American College of Physicians

Access to safe and stable housing has both a direct and indirect effect on health. Experiencing homelessness and housing instability can induce stress and trauma, worsening behavioral health and substance use. The absence of safe and stable living conditions can make it challenging to rest, recuperate, and recover from health ailments and can pose barriers to treatment adherence. Homelessness and housing instability is associated with high rates of numerous diseases and chronic conditions. Its cyclical relationship with other social drivers of health can exacerbate health disparities. As a result, unhoused persons experience unique health challenges and require a health care system and professionals designed to meet their distinct needs. Physicians and other health professionals have a role in educating themselves about the needs of unhoused patients as well as making themselves aware of community and government resources available to these populations. Policymakers must support health professionals in these efforts by supporting the data infrastructure needed to facilitate these referrals to resources, supporting research into best practices for caring for these populations, and investing in community-based organization capacity. Policy action is needed to address the underlying drivers of homelessness, including a dearth of affordable housing, while also addressing the short-term need for safe shelter now. In this position paper, the American College of Physicians (ACP) recognizes the need to address universal access to housing to fulfill one's right to health. ACP offers several recommendations to prevent homelessness and promote the necessary health care and social needs of unhoused populations.

Predictors for early and long-term readmission in involuntarily admitted patients

BACKGROUND

It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to identify factors that are linked to readmissions in this specific patient group, which is the purpose of the current paper.

METHODS

A four-year cohort of N = 3575 involuntary admissions (IA) was followed-up for subsequent re-hospitalization. Demographic, administrative and clinical factors associated with short- (within 30 days) or long-term (> 30 days) readmissions were examined using logistic regression modelling.

RESULTS

Almost half of all IA cases were readmitted within the observation period, whereof every fifth readmission was within the first month after discharge from the involuntary index hospitalization. Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission.

CONCLUSIONS

To prevent readmissions after IA, especially for patients at risk, the aim of treatment strategies should be to focus on intensive discharge planning, enable continuous treatment in the outpatient setting, and provide social support.

Predictors and consequences of homelessness in whole-population observational studies that used administrative data: a systematic review

BACKGROUND

Homelessness is a complex societal and public health challenge. Limited information exists about the population-level health and social care-related predictors and consequences of persons with lived experience of homelessness (PEH). Studies that focus on population subgroups or ad hoc questionnaires to gather data are of relatively limited generalisability to whole-population health surveillance and planning. The aim of this study was to find and synthesise information about the risk factors for, and consequences of, experiencing homelessness in whole-population studies that used routine administrative data.

METHOD

We performed a systematic search using EMBASE, MEDLINE, the Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and PsycINFO research databases for English-language studies published from inception until February 2023 that reported analyses of administrative data about homelessness and health and social care-related predictors and consequences. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

RESULTS

Of the 1224 articles reviewed, 30 publications met the inclusion criteria. The included studies examined a wide range of topic areas, and the homelessness definitions used in each varied considerably. Studies were categorised into several topic areas: Mortality, morbidity and COVID-19; health care usage and hospital re-admission; care home admission and shelter stay; and other (e.g. employment, crime victimisation). The studies reported that that the physical and mental health of people who experience homelessness was worse than that of the general population. Homeless individuals were more likely to have higher risk of hospitalisation, more likely to use emergency departments, have higher mortality rates and were at greater risk of needing intensive care or of dying from COVID-19 compared with general population. Additionally, homeless individuals were more likely to be incarcerated or unemployed. The effects were strongest for those who experienced being homeless as a child compared to those who experienced being homeless later on in life.

CONCLUSIONS

This is the first systematic review of whole-population observational studies that used administrative data to identify causes and consequences associated with individuals who are experiencing homelessness. While the scientific literature provides evidence on some of the possible risk factors associated with being homeless, research into this research topic has been limited and gaps still remain. There is a need for more standardised best practice approaches to understand better the causes and consequences associated with being homeless.

Understanding the Unique Challenges Faced by Homeless Patients With Acute Traumatic Neurosurgical Injuries

BACKGROUND

Homelessness is associated with high risk of acute neurotraumatic injury in the ∼600 000 Americans affected on any given night.

OBJECTIVE

To compare care patterns and outcomes between homeless and nonhomeless individuals with acute neurotraumatic injuries.

METHODS

Adults hospitalized for acute neurotraumatic injuries between January 1, 2015, and December 31, 2020, were identified in this retrospective cross-sectional study at our Level 1 trauma center. We evaluated demographics, in-hospital characteristics, discharge dispositions, readmissions, and adjusted readmission risk.

RESULTS

Of 1308 patients, 8.5% (n = 111) were homeless on admission to neurointensive care. Compared with nonhomeless individuals, homeless patients were younger ( P = .004), predominantly male ( P = .003), and less frail ( P = .003) but had similar presenting Glasgow Coma Scale scores ( P = .85), neurointensive care unit stay time ( P = .15), neurosurgical interventions ( P = .27), and in-hospital mortality ( P = .17). Nevertheless, homeless patients had longer hospital stays (11.8 vs 10.0 days, P = .02), more unplanned readmissions (15.3% vs 4.8%, P < .001), and more complications while hospitalized (54.1% vs 35.8%, P = .01), particularly myocardial infarctions (9.0% vs 1.3%, P < .001). Homeless patients were mainly discharged to their previous living situation (46.8%). Readmissions were primarily for acute-on-chronic intracranial hematomas (4.5%). Homelessness was an independent predictor of 30-day unplanned readmissions (odds ratio 2.41 [95% CI 1.33-4.38, P = .004]).

CONCLUSION

Homeless individuals experience longer hospital stays, more inpatient complications such as myocardial infarction, and more unplanned readmissions after discharge compared with their housed counterparts. These findings combined with limited discharge options in the homeless population indicate that better guidance is needed to improve the postoperative disposition and long-term care of this vulnerable patient population.

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.

Association of homelessness and psychiatric hospital readmission-a retrospective cohort study 2016-2020

BACKGROUND

A large proportion of adult psychiatric inpatients experience homelessness and are often discharged to unstable accommodation or the street. It is unclear whether homelessness impacts psychiatric hospital readmission. Our primary objective was to examine the association between homelessness and risk for 30-day and 90-day readmission following discharge from a psychiatric unit at a single urban hospital.

METHODS

A retrospective cohort study involving health administrative data among individuals (n = 3907) in Vancouver, Canada with an acute psychiatric admission between January 2016 and December 2020. Participants were followed from the date of index admission until censoring (December 30, 2020). Homelessness was measured at index admission and treated as a time-varying exposure. Adjusted Hazard Ratios (aHRs) of acute readmission (30-day and 90-day) for psychiatric and substance use disorders were estimated using multivariable Cox proportional hazards regression.

RESULTS

The cohort comprised 3907 individuals who were predominantly male (61.89%) with a severe mental illness (70.92%), substance use disorder (20.45%) and mean age of 40.66 (SD, 14.33). A total of 686 (17.56%) individuals were homeless at their index hospitalization averaging 19.13 (21.53) days in hospital. After adjusting for covariates, patients experiencing homelessness had a 2.04 (1.65, 2.51) increased rate of 30-day readmission and 1.65 (1.24, 2.19) increased rate of 90-day readmission during the observation period.

CONCLUSIONS

Homelessness was significantly associated with increased 30-day and 90-day readmission rates in a large comprehensive sample of adults with mental illness and substance use disorders. Interventions to reduce homelessness are urgently needed.

QUESTION

Is homelessness associated with risk for 30-day and 90-day psychiatric hospital readmission?

FINDINGS

In this retrospective cohort study of 3907 individuals, homelessness at discharge was associated with increased 30-day and 90-day psychiatric readmission.

MEANING

Housing status is an important risk factor for hospital readmission. High-quality interventions focused on housing supports have the potential to reduce psychiatric readmission.

Pain in People Experiencing Homelessness: A Scoping Review

BACKGROUND

Prior work suggests that people experiencing homelessness (PEH) are at heightened risk for developing pain and have a uniquely burdensome pain experience.

PURPOSE

The aim of this scoping review was to map the current peer-reviewed, published literature on the pain experience of PEH.

METHODS

In accordance with the US Annual Homeless Assessment Report, we defined homelessness as lacking shelter or a fixed address within the last year. We conceptualized the pain experience via a modified version of the Social Communication Model of Pain, which considers patient, provider, and contextual factors. Published articles were identified with CINHAL, Embase, PubMed, PsycINFO, and Web of Science databases.

RESULTS

Sixty-nine studies met inclusion criteria. Studies revealed that PEH have high rates of pain and experience high levels of pain intensity and interference. Substantially fewer studies examined other factors relevant to the pain experience, such as self-management, treatment-seeking behaviors, and pain management within healthcare settings. Nonetheless, initial evidence suggests that pain is undermanaged in PEH.

CONCLUSIONS

Future research directions to understand pain and homelessness are discussed, including factors contributing to the under-management of pain. This scoping review may inform future work to develop interventions to address the specific pain care needs of PEH.

Accelerated aging in people experiencing homelessness: A rapid review of frailty prevalence and determinants

Introduction

Older people experiencing homelessness (PEH) are a rapidly growing population at risk of accelerated aging and the early onset of geriatric conditions. One construct that shows promise in predicting age-related decline is frailty. Better understanding the rates and causes of frailty in PEH may improve understanding of its antecedents, thereby facilitating more targeted health and aged care service interventions. The aim of this study was to conduct a rapid review on the prevalence and determinants of frailty in adult PEH.

Methods

We conducted a rapid review of primary research papers studying PEH and frailty or frailty-related concepts.

Results

Fourteen studies were included, which indicate that frailty presents earlier and at higher rates in PEH than community-dwelling cohorts. A notable difficulty for many aging PEH was early-onset cognitive impairment which was associated with a range of negative functional outcomes. Another recurrent theme was the negative impact that drug and alcohol use and dependence can have on the health of PEH. Further, psychosocial and structural determinants such as loneliness, living in an impoverished neighborhood and being female had statistically significant associations with frailty and functional decline in PEH.

Discussion and implications

PEH in their 40s and 50s can be frail and experience geriatric conditions, including cognitive impairment. Factors that have important relationships to frailty and functional decline in PEH include cognitive deficits, drug and alcohol dependence and loneliness, as well as upstream determinants such as gender and ethnicity. More targeted data and research on these factors, including cohort studies to better investigate their potentially causal effects, is important for researchers and practitioners assessing and treating frailty in PEH, particularly those interested in early intervention and prevention.

Prospero registration ID

CRD42022292549.

Cumulative incidence of SARS-CoV-2 infection within the homeless population: insights from a city-wide longitudinal study

OBJECTIVES

The aim of this study was to determine the risk factors associated with SARS-CoV-2 infection in a cohort of homeless people using survival analysis. Seroprevalence in the homeless community was also compared with that of the general population.

DESIGN

Cohort study.

SETTING

Data were collected across two testing sessions, 3 months apart, during which each participant was tested for anti-SARS-CoV-2 antibodies and completed a face-to-face survey.

PARTICIPANTS

All homeless adults sleeping rough, in slums or squats, in emergency shelters or transitional accommodation in Marseille were eligible.

PRIMARY OUTCOME MEASURES

Occurrence of a seroconversion event defined as a biologically confirmed SARS-CoV-2 infection. Local data from a national seroprevalence survey were used for comparison between homeless people and the general population.

RESULTS

A total of 1249 people were included. SARS-CoV-2 seroprevalence increased from 6.0% (4.7-7.3) during the first session to 18.9% (16.0-21.7) during the second one, compared with 3.0% (1.9-4.2) and 6.5% (4.5-8.7) in the general population. Factors significantly associated with an increased risk of COVID-19 infection were: having stayed in emergency shelters (1.93 (1.18-3.15)), being an isolated parent (1.64 (1.07-2.52)) and having contact with more than 5-15 people per day (1.84 (1.27-2.67)). By contrast, smoking (0.46 (0.32-0.65)), having financial resources (0.70 (0.51-0.97)) and psychiatric or addictive comorbidities (0.52 (0.32-0.85)) were associated with a lower risk.

CONCLUSION

We confirm that homeless people have higher infection rates than the general population, with increased risk in emergency shelters. There is growing evidence that, in addition to usual preventive measures, public policies should pay attention to adapt the type of accommodation and overall approach of precariousness.

TRIAL REGISTRATION NUMBER

NCT04408131.

Risk of psychiatric readmission in the homeless population: A 10-year follow-up study

Homelessness continues to be a major social and clinical problem. The homeless population has a higher burden of disease that includes psychiatric disorders. In addition, they have a lower use of ambulatory health services and a higher use of acute care. Few investigations analyze the use of services of this population group in the long term. We analyzed the risk of psychiatric readmission of homeless individuals through survival analysis. All admissions to a mental health hospitalization unit in the city of Malaga, Spain, from 1999 to 2005, have been analyzed. Three analyses were carried out: two intermediate analyses at 30 days and 1 year after starting follow-up; and one final analysis at 10 years. In all cases, the event was readmission to the hospitalization unit. The adjusted Hazard Ratio at 30 days, 1-year, and 10-year follow-ups were 1.387 (p = 0.027), 1.015 (p = 0.890), and 0.826 (p = 0.043), respectively. We have found an increased risk of readmission for the homeless population at 30 days and a decreased risk of readmission at 10 years. We hypothesize that this lower risk of long-term readmission may be due to the high mobility of the homeless population, its low degree of adherence to long-term mental health services, and its high mortality rate. We suggest that time-critical intervention programs in the short term could decrease the high rate of early readmission of the homeless population, and long-term interventions could link them with services and avoid its dispersion and abandonment.

Navigator programme for hospitalised adults experiencing homelessness: protocol for a pragmatic randomised controlled trial

INTRODUCTION

People experiencing homelessness suffer from poor outcomes after hospitalisation due to systemic barriers to care, suboptimal transitions of care, and intersecting health and social burdens. Case management programmes have been shown to improve housing stability, but their effects on broad posthospital outcomes in this population have not been rigorously evaluated. The Navigator Programme is a Critical Time Intervention case management programme that was developed to help homeless patients with their postdischarge needs and to link them with community-based health and social services. This randomised controlled trial examines the impact of the Navigator Programme on posthospital outcomes among adults experiencing homelessness.

METHODS AND ANALYSIS

This is a pragmatic randomised controlled trial testing the effectiveness of the Navigator Programme at an urban academic teaching hospital and an urban community teaching hospital in Toronto, Canada. Six hundred and forty adults experiencing homelessness who are admitted to the hospital will be randomised to receive support from a Homeless Outreach Counsellor for 90 days after hospital discharge or to usual care. The primary outcome is follow-up with a primary care provider (physician or nurse practitioner) within 14 days of hospital discharge. Secondary outcomes include postdischarge mortality or readmission, number of days in hospital, number of emergency department visits, self-reported care transition quality, and difficulties meeting subsistence needs. Quantitative outcomes are being collected over a 180-day period through linked patient-reported and administrative health data. A parallel mixed-methods process evaluation will be conducted to explore intervention context, implementation and mechanisms of impact.

ETHICS AND DISSEMINATION

Ethics approval was obtained from the Unity Health Toronto Research Ethics Board. Participants will be required to provide written informed consent. Results of the main trial and process evaluation will be reported in peer-reviewed journals and shared with hospital leadership, community partners and policy makers.

TRIAL REGISTRATION NUMBER

NCT04961762.

Health service use and predictors of high health service use among adults experiencing homelessness: a retrospective cohort study

OBJECTIVE

To describe the characteristics and cost of health service use of a cohort of 2,140 people attending homeless hostel clinics, and identify predictors of high health service use and time to readmission.

METHOD

A retrospective cohort study of 2,140 adults who attended a homeless hostel clinic and were hospitalised in New South Wales (NSW) using linked clinic, health and mortality data from 1 July 2008 to 30 June 2021. Multivariable logistic regression examined predictors of high health service users.

RESULTS

There were 27,466 hospital admissions, with a median cost of A$81,481 per person, and a total cost of A$548.2 million. Twenty per cent of the cohort were readmitted within 28 days and 27.4% were classified as high users of health services. Factors associated with high use were age ≥45 years, female (AOR: 1.52; 95%CI 1.05-2.22), the presence of a mental disorder, substance use disorder (AOR: 1.36; 95%CI: 1.03-1.82), or if the person had been homeless for >1 year (AOR: 1.31; 95%CI: 1.06-1.62). Conclusions and implications for public health: The high health costs generated by homeless adults confirm the need to develop models of supported housing with a focus on integrated care, improved referral pathways and better coordination with community-based support agencies.

Surgical Care of Patients Experiencing Homelessness: A Scoping Review Using a Phases of Care Conceptual Framework

Homelessness is a growing concern across the world, particularly as individuals experiencing homelessness age and face an increasing burden of chronic health conditions. Although substantial research has focused on the medical and psychiatric care of patients experiencing homelessness, literature about the surgical care of these patients is sparse. Our objective was to review the literature to identify areas of concern unique to patients experiencing homelessness with surgical disease. A scoping review was conducted using a comprehensive database for studies from 1990 to September 1, 2020. Studies that included patients who were unhoused and discussed surgical care were included. The inclusion criteria were designed to identify evidence that directly affected surgical care, systems management, and policy making. Findings were organized within a Phases of Surgical Care framework: preoperative care, intraoperative care, postoperative care, and global use. Our search strategy yielded 553 unique studies, of which 23 met inclusion criteria. Most studies were performed at public and/or safety-net hospitals or via administrative datasets, and surgical specialties that were represented included orthopedic, cardiac, plastic surgery trauma, and vascular surgery. Using the Surgical Phases of Care framework, we identified studies that described the impact of housing status in pre- and postoperative phases as well as global use. There was limited identification of barriers to surgical and anesthetic best practices in the intraoperative phase. More than half of studies (52.2%) lacked a clear definition of homelessness. Thus, there is a marked gap in the surgical literature regarding the impact of housing status on optimal surgical care, with the largest area for improvement in the intraoperative phase of surgical and anesthetic decision making. Consistent use of clear definitions of homelessness is lacking. To promote improved care, a standardized approach to recording housing status is needed, and studies must explore vulnerabilities in surgical care unique to this population.

Multimorbidity and Inpatient Utilization Among Older Adults with Opioid Use Disorder in New York City

BACKGROUND

Nationally, there is a sharp increase in older adults with opioid use disorder (OUD). However, we know little of the acute healthcare utilization patterns and medical comorbidities among this population.

OBJECTIVE

This study describes the prevalence of chronic conditions, patterns of inpatient utilization, and correlates of high inpatient utilization among older adults with OUD in New York City (NYC).

DESIGN

Retrospective longitudinal cohort study.

PARTICIPANTS

Patients aged ≥55 with OUD hospitalized in NYC in 2012 identified using data from New York State's Statewide Planning and Research Cooperative System (SPARCS).

MAIN MEASURES

The prevalence of comorbid substance use diagnoses, chronic medical disease, and mental illness was measured using admission diagnoses from the index hospitalization. We calculated the ICD-Coded Multimorbidity-Weighted Index (MWI-ICD) for each patient to measure multimorbidity. We followed the cohort through September 30, 2015 and the outcome was the number of rehospitalizations for inpatient services in NYC. We compared patient-level factors between patients with the highest use of inpatient services (≥7 rehospitalizations) during the study period to low utilizers. We used multiple logistic regression to examine possible correlates of high inpatient utilization.

KEY RESULTS

Of 3669 adults aged ≥55 with OUD with a hospitalization in 2012, 76.4% (n=2803) had a subsequent hospitalization and accounted for a total of 22,801 rehospitalizations during the study period. A total of 24.7% of the cohort (n=906) were considered high utilizers and had a higher prevalence of alcohol and cocaine-related diagnoses, congestive heart failure, diabetes, schizophrenia, and chronic obstructive pulmonary disease. Multivariable predictors of high utilization included being a Medicaid beneficiary (adjusted odds ratio [aOR]=1.70, 95% confidence interval [CI]=1.37-2.11), alcohol-related diagnoses (aOR=1.43, 95% CI: 1.21-1.69), and increasing comorbidity measured by MWI-ICD (highest MWI-ICD quartile: aOR=1.98, 95% CI=1.59-2.48).

CONCLUSIONS

Among older adults with OUD admitted to the hospital, multimorbidity is strongly associated with high inpatient utilization.

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.

Development of a homelessness risk screening tool for emergency department patients

OBJECTIVE

To develop a screening tool to identify emergency department (ED) patients at risk of entering a homeless shelter, which could inform targeting of interventions to prevent future homelessness episodes.

DATA SOURCES

Linked data from (1) ED patient baseline questionnaires and (2) citywide administrative homeless shelter database.

STUDY DESIGN

Stakeholder-informed predictive modeling utilizing ED patient questionnaires linked with prospective shelter administrative data. The outcome was shelter entry documented in administrative data within 6 months following the baseline ED visit. Exposures were responses to questions on homelessness risk factors from baseline questionnaires.

DATA COLLECTION/EXTRACTION METHODS

Research assistants completed questionnaires with randomly sampled ED patients who were medically stable, not in police/prison custody, and spoke English or Spanish. Questionnaires were linked to administrative data using deterministic and probabilistic matching.

PRINCIPAL FINDINGS

Of 1993 ED patients who were not homeless at baseline, 5.6% entered a shelter in the next 6 months. A screening tool consisting of two measures of past shelter use and one of past criminal justice involvement had 83.0% sensitivity and 20.4% positive predictive value for future shelter entry.

CONCLUSIONS

Our study demonstrates the potential of using cross-sector data to improve hospital initiatives to address patients' social needs.

Improving care transfers for homeless patients after hospital discharge: a realist evaluation

Background

In 2013, 70% of people who were homeless on admission to hospital were discharged back to the street without having their care and support needs addressed. In response, the UK government provided funding for 52 new specialist homeless hospital discharge schemes. This study employed RAMESES II (Realist And Meta-narrative Evidence Syntheses: Evolving Standards) guidelines between September 2015 and 2019 to undertake a realist evaluation to establish what worked, for whom, under what circumstances and why. It was hypothesised that delivering outcomes linked to consistently safe, timely care transfers for homeless patients would depend on hospital discharge schemes implementing a series of high-impact changes (resource mechanisms). These changes encompassed multidisciplinary discharge co-ordination (delivered through clinically led homeless teams) and ‘step-down’ intermediate care. These facilitated time-limited care and support and alternative pathways out of hospital for people who could not go straight home.

Methods

The realist hypothesis was tested empirically and refined through three work packages. Work package 1 generated seven qualitative case studies, comparing sites with different types of specialist homeless hospital discharge schemes (n = 5) and those with no specialist discharge scheme (standard care) (n = 2). Methods of data collection included interviews with 77 practitioners and stakeholders and 70 people who were homeless on admission to hospital. A ‘data linkage’ process (work package 2) and an economic evaluation (work package 3) were also undertaken. The data linkage process resulted in data being collected on > 3882 patients from 17 discharge schemes across England. The study involved people with lived experience of homelessness in all stages.

Results

There was strong evidence to support our realist hypothesis. Specialist homeless hospital discharge schemes employing multidisciplinary discharge co-ordination and ‘step-down’ intermediate care were more effective and cost-effective than standard care. Specialist care was shown to reduce delayed transfers of care. Accident and emergency visits were also 18% lower among homeless patients discharged at a site with a step-down service than at those without. However, there was an impact on the effectiveness of the schemes when they were underfunded or when there was a shortage of permanent supportive housing and longer-term care and support. In these contexts, it remained (tacitly) accepted practice (across both standard and specialist care sites) to discharge homeless patients to the streets, rather than delay their transfer. We found little evidence that discharge schemes fired a change in reasoning with regard to the cultural distance that positions ‘homeless patients’ as somehow less vulnerable than other groups of patients. We refined our hypothesis to reflect that high-impact changes need to be underpinned by robust adult safeguarding.

Strengths and limitations

To our knowledge, this is the largest study of the outcomes of homeless patients discharged from hospital in the UK. Owing to issues with the comparator group, the effectiveness analysis undertaken for the data linkage was limited to comparisons of different types of specialist discharge scheme (rather than specialist vs. standard care).

Future work

There is a need to consider approaches that align with those for value or alliance-based commissioning where the evaluative gaze is shifted from discrete interventions to understanding how the system is working as a whole to deliver outcomes for a defined patient population.

Funding

This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 9, No. 17. See the NIHR Journals Library website for further project information.

Housing Insecurity Among Latinxs

Latinxs are vulnerable to experiencing housing insecurity and less likely to receive public benefits, such as health insurance, which can impact a household's economic resources. We inform homelessness prevention by examining the association of social risks and healthcare access with housing insecurity for Latinxs. Our sample consisted of 120,362 participants under the age of 65, of which 17.3% were Latinx. Weighted chi-squared tests and logistic regression were used to examine predictors of housing insecurity. Housing insecurity was measured as worry about paying for housing. Latinxs were almost twice as likely as non-Latinxs to worry about paying for housing. Excellent/fair health status, health service use, and having health insurance decreased the likelihood of housing insecurity for Latinxs. Access to health insurance, regardless of citizenship status, and use of preventative healthcare to maintain good health can be protective against housing insecurity.

Hospital readmission among people experiencing homelessness in England: a cohort study of 2772 matched homeless and housed inpatients

BACKGROUND

Inpatients experiencing homelessness are often discharged to unstable accommodation or the street, which may increase the risk of readmission.

METHODS

We conducted a cohort study of 2772 homeless patients discharged after an emergency admission at 78 hospitals across England between November 2013 and November 2016. For each individual, we selected a housed patient who lived in a socioeconomically deprived area, matched on age, sex, hospital, and year of discharge. Counts of emergency readmissions, planned readmissions, and Accident and Emergency (A&E) visits post-discharge were derived from national hospital databases, with a median of 2.8 years of follow-up. We estimated the cumulative incidence of readmission over 12 months, and used negative binomial regression to estimate rate ratios.

RESULTS

After adjusting for health measured at the index admission, homeless patients had 2.49 (95% CI 2.29 to 2.70) times the rate of emergency readmission, 0.60 (95% CI 0.53 to 0.68) times the rate of planned readmission and 2.57 (95% CI 2.41 to 2.73) times the rate of A&E visits compared with housed patients. The 12-month risk of emergency readmission was higher for homeless patients (61%, 95% CI 59% to 64%) than housed patients (33%, 95% CI 30% to 36%); and the risk of planned readmission was lower for homeless patients (17%, 95% CI 14% to 19%) than for housed patients (30%, 95% CI 28% to 32%). While the risk of emergency readmission varied with the reason for admission for housed patients, for example being higher for admissions due to cancers than for those due to accidents, the risk was high across all causes for homeless patients.

CONCLUSIONS

Hospital patients experiencing homelessness have high rates of emergency readmission that are not explained by health. This highlights the need for discharge arrangements that address their health, housing and social care needs.

Factors Associated with Readmission Among General Internal Medicine Patients Experiencing Homelessness

BACKGROUND

People who are homeless have a higher burden of illness and higher rates of hospital admission and readmission compared to the general population. Identifying the factors associated with hospital readmission could help healthcare providers and policymakers improve post-discharge care for homeless patients.

OBJECTIVE

To identify factors associated with hospital readmission within 90 days of discharge from a general internal medicine unit among patients experiencing homelessness.

DESIGN

This prospective observational study was conducted at an urban academic teaching hospital in Toronto, Canada. Interviewer-administered questionnaires and chart reviews were completed to assess medical, social, processes of care, and hospitalization data. Multivariable logistic regression with backward selection was used to identify factors associated with a subsequent readmission and estimate odds ratios and 95% confidence intervals.

PARTICIPANTS

Adults (N = 129) who were admitted to the general internal medicine service between November 2017 and November 2018 and who were homeless at the time of admission.

MAIN MEASURES

Unplanned all-cause readmission to the study hospital within 90 days of discharge.

KEY RESULTS

Thirty-five of 129 participants (27.1%) were readmitted within 90 days of discharge. Factors associated with lower odds of readmission included having an active case manager (adjusted odds ratios [aOR]: 0.31, 95% CI, 0.13-0.76), having informal support such as friends and family (aOR: 0.25, 95% CI, 0.08-0.78), and sending a copy of the patient's discharge plan to a primary care physician who had cared for the patient within the last year (aOR: 0.44, 95% CI, 0.17-1.16). A higher number of medications prescribed at discharge was associated with higher odds of readmission (aOR: 1.12, 95% CI, 1.02-1.23).

CONCLUSION

Interventions to reduce hospital readmission for people who are homeless should evaluate tailored discharge planning and dedicated resources to support implementation of these plans in the community.

Temporary Financial Assistance Decreased Health Care Costs For Veterans Experiencing Housing Instability

Compared with housed people, those experiencing homelessness have longer and more expensive inpatient stays as well as more frequent emergency department visits. Efforts to provide stable housing situations for people experiencing homelessness could reduce health care costs. Through the Supportive Services for Veteran Families program, the Department of Veterans Affairs partners with community organizations to provide temporary financial assistance to veterans who are currently homeless or at imminent risk of becoming homeless. We examined the impact of temporary financial assistance on health care costs for veterans in the Supportive Services for Veteran Families program and found that, on average, people receiving the assistance incurred $352 lower health care costs per quarter than those who did not receive the assistance. These results can inform national policy debates regarding the proper solution to housing instability.

Application of the Frailty Framework among Vulnerable Populations to Hospitalization Outcomes of Individuals Experiencing Homelessness in Long Beach, California

BACKGROUND

Individuals experiencing homelessness have a high prevalence of infectious diseases that may result in hospitalization. However, low ability to navigate the healthcare system and lack of health insurance may mean that those who are experiencing homelessness may not receive the healthcare that they need.

OBJECTIVES

This study uses risk factors at baseline to predict hospitalization at follow-up. This paper also presents the associations between reporting homelessness and selected infectious diseases.

RESEARCH DESIGN

Longitudinal study of baseline and follow-up conducted August 2000 through July 2014.

SUBJECTS

4916 Not experiencing homelessness mean age 37.9 years, 29% female, and 2692 experiencing homelessness age 42.1 years, 29% female received services from a research/service center in a low-income, high-crime area of Long Beach, CA.

MEASURES

Risk Behavior Assessment, Risk Behavior Follow-up Assessment, laboratory testing for hepatitis A, hepatitis B, hepatitis C, syphilis, chlamydia, and gonorrhea.

RESULTS

Predictors of hospitalization at follow-up were ever use of crack cocaine, income from Social Security or disability, reporting homelessness, female, and those who identify as Black compared to White race/ethnicity.

CONCLUSIONS

Income from the safety net of Social Security or disability appears to provide the participant with experience that transfers to being able to obtain healthcare. A higher proportion of those experiencing homelessness, compared to those not experiencing homelessness, appear to be hospitalized at follow-up. Women, those who identified as Black, and those who used crack at baseline are more likely to be hospitalized at follow-up whether or not they were experiencing homelessness. We recommend coordination with substance abuse treatment programs for discharge planning for homeless patients. Our findings support use of the Frailty Framework when working with individuals experiencing both homelessness and hospitalization.

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.

Readmissions among patients with COVID-19

BACKGROUND

Hospital readmissions are associated with poor patient outcomes and increased health resource utilisation. The need to study readmission patterns is even bigger during a pandemic because the burden is further stretching the healthcare system.

METHODS

We reviewed the initial hospitalisation and subsequent readmission for 19 patients with confirmed COVID-19 in the largest statewide hospital network in Rhode Island, US, from March 1st through April 19th, 2020. We also compared the characteristics and clinical outcomes between readmitted and non-readmitted patients.

RESULTS

Of the 339 hospitalised patients with COVID-19, 279 discharged alive. Among them, 19/279 were readmitted (6.8%) after a median of 5 days. There was a significantly higher rate of hypertension, diabetes, chronic pulmonary disease, liver disease, cancer and substance abuse among the readmitted compared with non-readmitted patients. The most common reasons of readmissions happening within 12 days from discharge included respiratory distress and thrombotic episodes, while those happening at a later time included psychiatric illness exacerbations and falls. The length of stay during readmission was longer than during index admission and more demanding on healthcare resources.

CONCLUSION

Among hospitalised patients with COVID-19, those readmitted had a higher burden of comorbidities than the non-readmitted. Within the first 12 days from discharge, readmission reasons were more likely to be associated with COVID-19, while those happening later were related to other reasons. Readmissions characterisation may help in defining optimal timing for patient discharge and ensuring safe care transition.

Feasibility of a Broad Test Battery to Assess Physical Functioning Limitations of People Experiencing Homelessness

BACKGROUND

People who are homeless experience poor health. Reflective of overall health and factors such as acquired injuries, physical ability or functioning is often low among people who are homeless, but there is a lack of consistency of measures used to evaluate this construct. The aim of this study was to evaluate the feasibility of a broad test battery to evaluate limitations in physical functioning among people who are homeless.

METHODS

This cross-sectional, observational study occurred in a hospital in Dublin, Ireland. We evaluated lower extremity physical function (Short Physical Performance Battery), falls risk (timed up and go), functional capacity (six-minute walk test), stair-climbing ability (stair climb test), frailty (Clinical Frailty Scale), grip strength (handgrip dynamometer) and muscular mass (calf circumference measurement) in a population of people experiencing homelessness admitted for acute medical care. The test completion rate was evaluated for feasibility.

RESULTS

The completion rate varied: 65% (Short Physical Performance Battery), 55.4% (timed up and go), 38% (six-minute walk test), 31% (stair climb test), 97% (Clinical Frailty Scale), 75% (handgrip dynamometer), 74% (calf circumference measurement)). Collectively, the most common reasons for test non-participation were pain (24.1%, n = 40), not feeling well or able enough (20.1%, n = 33), and declined (11%, n = 18).

CONCLUSION

The feasibility of the test battery was mixed as test participation rates varied from 31% to 97%. Physical functioning tests need to be carefully chosen for people who are homeless as many standard tests are unsuitable due to pain and poor physical ability.

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

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

Effectiveness of a housing support team intervention with a recovery-oriented approach on hospital and emergency department use by homeless people with severe mental illness: a randomised controlled trial

AIMS

Many people who are homeless with severe mental illnesses are high users of healthcare services and social services, without reducing widen health inequalities in this vulnerable population. This study aimed to determine whether independent housing with mental health support teams with a recovery-oriented approach (Housing First (HF) program) for people who are homeless with severe mental disorders improves hospital and emergency department use.

METHODS

We did a randomised controlled trial in four French cities: Lille, Marseille, Paris and Toulouse. Participants were eligible if they were 18 years or older, being absolutely homeless or precariously housed, with a diagnosis of schizophrenia (SCZ) or bipolar disorder (BD) and were required to have a high level of needs (moderate-to-severe disability and past hospitalisations over the last 5 years or comorbid alcohol or substance use disorder). Participants were randomly assigned (1:1) to immediate access to independent housing and support from the Assertive Community Treatment team (social worker, nurse, doctor, psychiatrist and peer worker) (HF group) or treatment as usual (TAU group) namely pre-existing dedicated homeless-targeted programs and services. Participants and interviewers were unmasked to assignment. The primary outcomes were the number of emergency department (ED) visits, hospitalisation admissions and inpatient days at 24 months. Secondary outcomes were recovery (Recovery Assessment Scale), quality of life (SQOL and SF36), mental health symptoms, addiction issues, stably housed days and cost savings from a societal perspective. Intention-to-treat analysis was performed.

RESULTS

Eligible patients were randomly assigned to the HF group (n = 353) or TAU group (n = 350). No differences were found in the number of hospital admissions (relative risk (95% CI), 0.96 (0.76-1.21)) or ED visits (0.89 (0.66-1.21)). Significantly less inpatient days were found for HF v. TAU (0.62 (0.48-0.80)). The HF group exhibited higher housing stability (difference in slope, 116 (103-128)) and higher scores for sub-dimensions of S-QOL scale (psychological well-being and autonomy). No differences were found for physical composite score SF36, mental health symptoms and rates of alcohol or substance dependence. Mean difference in costs was €-217 per patient over 24 months in favour of the HF group. HF was associated with cost savings in healthcare costs (RR 0.62(0.48-0.78)) and residential costs (0.07 (0.05-0.11)).

CONCLUSION

An immediate access to independent housing and support from a mental health team resulted in decreased inpatient days, higher housing stability and cost savings in homeless persons with SCZ or BP disorders.

Homeless people under the influence of alcohol admitted to hospital emergency departments in Poland

Aim:

To assess the incidence of diagnoses related to alcohol use in the population of homeless people admitted to hospital emergency departments (EDs).

Material and method:

Data were analysed from three hospitals concerning stays of homeless people in three EDs in Bydgoszcz, Poland, in 2013–2015; 3133 stays were identified. The data were compiled using Microsoft Excel and Statistica 10 statistical software.

Results:

At the time of admission to EDs, 31% of homeless people were considered to be under the influence of alcohol. Diagnoses related to alcohol use accounted for 25% of all diagnoses. The average blood alcohol concentration in the patients was 2.97 per mille. The average blood alcohol concentration in the group of men was significantly higher than that in the group of women (p = 0.015). The average length of stay in the ED of patients under the influence of alcohol was significantly longer (p < 0.0001) than among sober patients.

Conclusions:

Homeless people under the influence of alcohol account for a third of the population of homeless patients admitted to hospital emergency departments, while alcohol-related ICD-10 diagnoses account for a fourth of all diagnoses in these patients. Homeless patients under the influence of alcohol stay longer in hospital emergency departments than do sober homeless people, which may translate into more frequent acts of aggression towards medical personnel. In Poland there are no systemic ED-level solutions as regards dealing with homeless patients for whom alcohol dependence is in many cases a reality.

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.

Special Considerations Related to Race, Sex, Gender, and Socioeconomic Status in the Preoperative Evaluation: Part 2: Sex Considerations and Homeless Patients

Patients anticipating surgery and anesthesia often need preoperative care to lower risk and facilitate services on the day of surgery. Preparing patients often requires extensive evaluation and coordination of care. Vulnerable, marginalized, and disenfranchised populations have special concerns, limitations, and needs. These patients may have unidentified or poorly managed comorbidities. Underrepresented minorities and transgender patients may avoid or have limited access to health care. Homelessness, limited health literacy, and incarceration hinder perioperative optimization initiatives. Identifying patients who will benefit from additional resource allocation and knowledge of their special challenges are vital to reducing disparities in health and health care.

Thirty-Day Hospital Readmission Among Homeless Individuals With Medicaid in Massachusetts

BACKGROUND

National efforts are underway to reduce hospital readmissions. Few studies have used administrative data to provide a global view of readmission among people experiencing homelessness, who often utilize multiple hospital systems.

OBJECTIVE

To examine the 30-day hospital readmission rate and factors associated with readmission following discharge among homeless Medicaid members in Massachusetts.

METHODS

We analyzed medical record and Medicaid administrative data for 1269 hospitalizations between 2013 and 2014 for 458 unique patients attributed to Boston Health Care for the Homeless Program. Generalized Estimating Equations were used to investigate factors associated with readmission.

RESULTS

Of all hospitalizations, 27% resulted in readmission, more than double the average national Medicaid readmission rate. Leaving against medical advice was associated with increased readmission, while having a Health Care for the Homeless primary care practitioner was associated with reduced readmission. Among the most frequently admitted individuals, being discharged to medical respite care was associated with reduced readmission.

CONCLUSIONS

To break the readmission cycle, health care providers serving homeless individuals could focus on assuring access to medical respite care and extending outreach efforts that increase primary care engagement. This may be especially important for accountable care systems, as safety net providers increasingly assume financial risk for patients' total cost and quality of care.

Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review

OBJECTIVE

To provide focused evaluation of predictive modeling of electronic medical record (EMR) data to predict 30 day hospital readmission.

DESIGN

Systematic review.

DATA SOURCE

Ovid Medline, Ovid Embase, CINAHL, Web of Science, and Scopus from January 2015 to January 2019.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

All studies of predictive models for 28 day or 30 day hospital readmission that used EMR data.

OUTCOME MEASURES

Characteristics of included studies, methods of prediction, predictive features, and performance of predictive models.

RESULTS

Of 4442 citations reviewed, 41 studies met the inclusion criteria. Seventeen models predicted risk of readmission for all patients and 24 developed predictions for patient specific populations, with 13 of those being developed for patients with heart conditions. Except for two studies from the UK and Israel, all were from the US. The total sample size for each model ranged between 349 and 1 195 640. Twenty five models used a split sample validation technique. Seventeen of 41 studies reported C statistics of 0.75 or greater. Fifteen models used calibration techniques to further refine the model. Using EMR data enabled final predictive models to use a wide variety of clinical measures such as laboratory results and vital signs; however, use of socioeconomic features or functional status was rare. Using natural language processing, three models were able to extract relevant psychosocial features, which substantially improved their predictions. Twenty six studies used logistic or Cox regression models, and the rest used machine learning methods. No statistically significant difference (difference 0.03, 95% confidence interval -0.0 to 0.07) was found between average C statistics of models developed using regression methods (0.71, 0.68 to 0.73) and machine learning (0.74, 0.71 to 0.77).

CONCLUSIONS

On average, prediction models using EMR data have better predictive performance than those using administrative data. However, this improvement remains modest. Most of the studies examined lacked inclusion of socioeconomic features, failed to calibrate the models, neglected to conduct rigorous diagnostic testing, and did not discuss clinical impact.

Trauma in adults experiencing homelessness

BACKGROUND

Homeless individuals suffer a greater burden of health problems than the general population. This study aimed to describe the epidemiology of physical trauma among homeless patients presenting to an urban major trauma center and to ascertain any differences in the nature, injury severity and outcomes among homeless compared to domiciled patients.

METHODS

A retrospective matched cohort study that included adults who met inclusion criteria for The Alfred Hospital Trauma Registry between 01 July 2010 and 31 March 2017 was conducted. Primary homelessness was identified using the International Statistical Classification of Diseases, 10th Revision Coding Z59.0 and/or 'No fixed abode' address data. Homeless and domiciled patients were matched at a 1:2 ratio on age, sex, month and year of injury. The primary outcome variable was the Injury Severity Score (ISS). Secondary outcomes were hospital length of stay (LOS), mortality, emergency department (ED) disposition, hospital disposition, discharge processes and trauma registry recidivism.

RESULTS

Of 25,920 cases in the trauma registry, 147 (0.6%) were identified as homeless, comprising 131 unique homeless individuals who were matched with 262 domiciled patients. The median (Inter-Quartile Range) ISS among homeless patients was 5(2-10), compared to 9(4-17) for domiciled patients (p < 0.001). Homeless patients had significantly lower odds of sustaining an injury with ISS>12 (OR 0.5, 95% CI: 0.3-0.8, p = 0.001). Homeless patients were treated more often than domiciled patients for assault (32.1% vs 9.5%), intentional self-harm (10.7% vs 2.7%), and penetrating injury (16.0% vs 6.5%). Homeless patients had higher rates of psychiatry admissions (9.2% vs 0.8%), positive blood alcohol concentration (30.5% vs 13.7%), and higher odds of discharging against medical advice (DAMA)(OR 2.0, 95% CI: 1.1-3.6 p = 0.02). There were no differences in LOS (p = 0.51), mortality (p = 0.19), ED disposition (p = 0.64) or trauma registry recidivism (p = 0.09).

CONCLUSION

Among injured patients who presented at an urban trauma center, homelessness was associated with higher odds of assault, intentional self-harm, penetrating injury, psychiatry admissions, DAMA but lower ISS than domiciled patients. Variable definitions of homelessness and lack of standardized documentation in the medical record should be addressed to ensure these vulnerable patients are identified and linked with peripheral services.

Clinical Utility of the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) in a Residential Treatment Program for Homeless Individuals

The current study examined the clinical utility of the Restructured Form of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2-RF) in a residential treatment program for homeless individuals. MMPI-2-RF scale scores from 146 participants with valid profiles were correlated with variables obtained at intake and during treatment. The sample was then followed 12 months postdischarge to test preregistered hypotheses regarding MMPI-2-RF predictors of hospital readmissions. The results indicated that a variety of MMPI-2-RF scale scores were correlated with historical and diagnostic variables at intake and with measures of treatment outcome, including behavioral problems and successful outcome. A broad range of MMPI-2-RF scale scores were related to readmissions postdischarge and many of these relationships remained significant when tested in Poisson regression models containing other predictors. However, the postdischarge findings were generally inconsistent with our predictions and were of small effect size. The clinical implications of MMPI-2-RF results for residential treatment programs are discussed.

Mental and behavioral disorders in the population of homeless patients admitted to hospital emergency departments

The aim of the study is to identify the most common mental and behavioral disorders diagnosed in homeless patients admitted to hospital emergency departments and to identify performed medical procedures including diagnostic and therapeutic measures in this range.

Material and Method:Data from information systems of three hospitals concerning stays of homeless people in ED in Bydgoszcz in 2013-2015 were analyzed. As any as 3133 stays were identified. The data was compiled using the Microsoft Excel spreadsheet and Statistica 10 statistical software package.

Results: Diagnoses in the category of mental disorders and behavioral disorders constituted 23.3% of diagnoses made in the studied population, of which two thirds were psychiatric disorders and behavioral disorders caused by alcohol use. Specific personality disorders (5.84%), schizophrenia (3.82%), and mild mental retardation (2.24%) were diagnosed in patients. One tenth of all the ICD-9 procedures performed were the procedures of the category 94- Procedures related to mental condition

Conclusions: Mental and behavioral disorders are one of the main reasons for admission of homeless people to hospital emergency departments. Most diseases is diagnosed in facilities where psychiatric consultation is possible, as well as where the number of procedures related to mental condition performed is the highest. Homeless patients suffering from mental and behavioral disorders are rarely admitted to hospital wards for hospitalization. Psychiatric care for homeless patients admitted to emergency departments is an ad hoc intervention and depends on the availability of a psychiatrist. Providing homeless patients with access to a psychiatric diagnosis at ED level would affect the quality of psychiatric care and would contribute to the improvement of mental health of homeless people.

Increasing influenza vaccination acceptance in the homeless: A quality improvement project

The US homeless population is predisposed to serious complications of influenza with increased likelihood of hospitalization and death. This quality improvement project sought to increase influenza vaccination in the homeless population of a rural area in the Midwest and improve provider knowledge of risks and preventive care responsibilities.

Comparison of Factors Identified by Patients and Physicians Associated with Hospital Readmission (COMPARE2)

OBJECTIVE

Factors contributing to hospital readmission have rarely been sought from the patient perspective. Furthermore, it is unclear how patients and physicians compare in identifying factors contributing to readmission. The objective of the study was to identify and compare factors contributing to hospital readmission identified by patients and physicians by surveying participants upon hospital readmission to a teaching medicine service.

METHODS

Patients 18 years and older who were discharged and readmitted to the same service within 30 days and the physicians caring for these patients were surveyed to identify factors contributing to readmission. Secondary outcomes included comparing responses between groups and determining level of agreement. Patients could be surveyed multiple times on subsequent readmissions; physicians could be surveyed for multiple patients.

RESULTS

A total of 131 patients and 37 physicians were consented. The mean patient age was 60.1 years (standard deviation 16.8 years) and 55.6% were female; 56.4% were white, and 42.1% were black/African American. In total, 179 patient surveys identified "multiple medical problems" (48.6%), "trouble completing daily activities" (45.8%), and "discharged too soon" (43.6%) most frequently as contributing factors; 231 physician surveys identified "multiple medical problems" (45.0%) and "medical condition too difficult to care for at home" (35.6%) most frequently as contributing factors. Paired survey results were available for 135 readmissions and showed fair agreement for only 1 factor but no agreement for 5 factors.

CONCLUSIONS

Patients identified previously unknown factors contributing to readmission. Little agreement existed between patients and physicians. Additional research is needed to determine how best to address patient-identified factors contributing to readmission.

Reliability of the American Community Survey Estimates of Risk-Adjusted Readmission Rankings for Hospitals Before and After Peer Group Stratification

IMPORTANCE

Since the transition to the American Community Survey, data uncertainty has complicated its use for policy making and research, despite the ongoing need to identify disparities in health care outcomes. The US Centers for Medicare & Medicaid Services' new, stratified payment adjustment method for its Hospital Readmissions Reduction Program may be able to reduce the reliance on data linkages to socioeconomic survey estimates.

OBJECTIVE

To determine whether there are differences in the reliability of socioeconomically risk-adjusted hospital readmission rates among hospitals that serve a disproportionate share of low-income populations after stratifying hospitals into peer group-based classification groups.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study uses data from the 2014 New York State Health Cost and Utilization Project State Inpatient Database for 96 278 hospital admissions for acute myocardial infarction, pneumonia, and congestive heart failure. The analysis included patients aged 18 years and older who were not transferred to another hospital, who were discharged alive, who did not leave the hospital against medical advice, and who were discharged before December 2014.

MAIN OUTCOMES AND MEASURES

The main outcomes were 30-day hospital readmissions after acute myocardial infarction, pneumonia, and congestive heart failure assessed using hierarchical logistic regression.

RESULTS

The mean (SD) age of the patients was 69.6 (16.0) years for the safety-net hospitals and 74.9 (14.7) years for the non-safety-net hospitals; 9382 (48.8%) and 7003 (48.5%) patients, respectively, were female. For safety net designations, 20% (3 of 15) of all evaluations concealed and distorted differences in risk, with factors such as poverty failing to identify similar risk of acute myocardial infarction readmission until unreliable estimates were excluded from the analysis (OR, 1.23 [95% CI, 1.00-1.52], P = .02; vs OR, 1.17 [95% CI, 0.94-1.46], P = .15). By comparison, 2 of the 60 models (3%) for the peer group-based classification altered the association between socioeconomic status and readmission risk, concealing similarities in congestive heart failure readmission when adjusted using high school completion rates (OR, 1.27 [95% CI 1.02-1.58], P = .04; vs OR, 1.23 [95% CI, 0.98-1.53], P = .06) and distorting similarities in pneumonia readmissions when accounting for the proportion of lone-parent families (OR, 1.27 [95% CI, 0.98-1.66], P = .07; vs OR, 1.35 [95% CI, 1.02-1.80], P = .04) between the lowest and highest socioeconomic status hospitals in quartile 1.

CONCLUSIONS AND RELEVANCE

There was greater precision in socioeconomic adjusted readmission estimates when hospitals were stratified into the new payment adjustment criteria compared with safety net designations. A contributing factor for improved reliability of American Community Survey estimates under the new payment criteria was the merging of patients from low-income neighborhoods with greater homogeneity in survey estimates into groupings similar to those for higher-income patients, whose neighborhoods often exhibit greater estimate variability. Additional efforts are needed to explore the effect of measurement error on American Community Survey-adjusted readmissions using the new peer group-based classification methods.