This paper reports on the association between intellectual functioning and lifetime homelessness duration among 172 homeless adults with mental illness in Toronto, Canada. Their results show that lifetime homelessness duration was approximately three years longer, or almost twice as long, for individuals with borderline or lower intellectual functioning.
BackgroundInclusion health focuses on people in extremely poor health due to poverty, marginalisation, and multimorbidity. We aimed to review morbidity and mortality data on four overlapping populations who experience considerable social exclusion: homeless populations, individuals with substance use disorders, sex workers, and imprisoned individuals.MethodsFor this systematic review and meta-analysis, we searched MEDLINE, Embase, and the Cochrane Library for studies published between Jan 1, 2005, and Oct 1, 2015. We included only systematic reviews, meta-analyses, interventional studies, and observational studies that had morbidity and mortality outcomes, were published in English, from high-income countries, and were done in populations with a history of homelessness, imprisonment, sex work, or substance use disorder (excluding cannabis and alcohol use). Studies with only perinatal outcomes and studies of individuals with a specific health condition or those recruited from intensive care or high dependency hospital units were excluded. We screened studies using systematic review software and extracted data from published reports. Primary outcomes were measures of morbidity (prevalence or incidence) and mortality (standardised mortality ratios [SMRs] and mortality rates). Summary estimates were calculated using a random effects model.FindingsOur search identified 7946 articles, of which 337 studies were included for analysis. All-cause standardised mortality ratios were significantly increased in 91 (99%) of 92 extracted datapoints and were 11·86 (95% CI 10·42–13·30; I2=94·1%) in female individuals and 7·88 (7·03–8·74; I2=99·1%) in men. Summary SMR estimates for the International Classification of Diseases disease categories with two or more included datapoints were highest for deaths due to injury, poisoning, and other external causes, in both men (7·89; 95% CI 6·40–9·37; I2=98·1%) and women (18·72; 13·73–23·71; I2=91·5%). Disease prevalence was consistently raised across the following categories: infections (eg, highest reported was 90% for hepatitis C, 67 [65%] of 103 individuals for hepatitis B, and 133 [51%] of 263 individuals for latent tuberculosis infection), mental health (eg, highest reported was 9 [4%] of 227 individuals for schizophrenia), cardiovascular conditions (eg, highest reported was 32 [13%] of 247 individuals for coronary heart disease), and respiratory conditions (eg, highest reported was 9 [26%] of 35 individuals for asthma).InterpretationOur study shows that homeless populations, individuals with substance use disorders, sex workers, and imprisoned individuals experience extreme health inequities across a wide range of health conditions, with the relative effect of exclusion being greater in female individuals than male individuals. The high heterogeneity between studies should be explored further using improved data collection in population subgroups. The extreme health inequity identified demands intensive cross-sectoral policy and service action to prevent exclusion and improve health outcomes in individuals who are already marginalised.FundingWellcome Trust, National Institute for Health Research, NHS England, NHS Research Scotland Scottish Senior Clinical Fellowship, Medical Research Council, Chief Scientist Office, and the Central and North West London NHS Trust.
Although homeless persons experience traumatic brain injury (TBI) frequently, little is known about the structural and functional brain changes in this group. We aimed to describe brain volume changes and related cognitive/motor deficits in homeless persons with or without TBI versus controls. Participants underwent T1-weighted magnetic resonance imaging (MRI), neuropsychological (NP) tests (the Grooved Pegboard Test [GPT]/Finger Tapping Test [FTT]), alcohol/drug use screens (the Alcohol Use Disorders Identification Test [AUDIT]/Drug Abuse Screening Test [DAST]), and questionnaires (the Brain Injury Screening Questionnaire [BISQ]/General Information Questionnaire [GIQ]) to determine TBI. Normalized volumes of brain substructures from MRI were derived from FreeSurfer. Comparisons were tested by Mann-Whitney U and Kruskal-Wallis rank sum tests. Leave-one-out cross-validation using random forest classifier was applied to determine the ability of predicting TBI. Diagnostic ability of this classifier was assessed using area under the receiver operating characteristic curve (AUC). Fifty-one participants—25 homeless persons (9 with TBI) and 26 controls—were included. The homeless group had higher AUDIT scores and smaller thalamus and brainstem volumes (p < 0.001) than controls. Within homeless participants, the TBI group had reduced normalized volumes of nucleus accumbens, thalamus, ventral diencephalon, and brainstem compared with the non-TBI group (p < 0.001). Homeless participants took more time on the GPT compared with controls using both hands (p < 0.0001); but the observed effects were more pronounced in the homeless group with TBI in the non-dominant hand. Homeless persons with TBI had fewer dominant hand finger taps than controls (p = 0.0096), and homeless participants with (p = 0.0148) or without TBI (p = 0.0093) tapped less than controls with their non-dominant hand. In all participants, TBI was predicted with an AUC of 0.95 (95% confidence interval [CI]: 0.89-1.00) by the classifier modeled on MRI, NP tests, and screening data combined. The MRI-data-based classifier was the best predictor of TBI within the homeless group (AUC: 0.76, 95% CI: 0.53-0.99). Normalized volumes of specific brain substructures were important indicators of TBI in homeless participants and they are important indicators of TBI in the state of homelessness itself. They may improve predictive ability of NP and screening tests in determining these outcomes.
Objectives. We identified predictors of emergency department (ED) use among a population-based prospective cohort of homeless adults in Toronto, Ontario. Methods. We assessed ED visit rates using administrative data from the Institute for Clinical Evaluative Sciences (2005–2009). We then used logistic regression to identify predictors of ED use. Frequent users were defined as participants with rates in the top decile (≥ 4.7 visits per person-year). Results. Among 1165 homeless adults, 892 (77%) had at least 1 ED visit during the study. The average rate of ED visits was 2.0 visits per person-year, whereas frequent users averaged 12.1 visits per person-year. Frequent users accounted for 10% of the sample but contributed more than 60% of visits. Predictors of frequent use in adjusted analyses included birth in Canada, higher monthly income, lower health status, perceived unmet mental health needs, and perceived external health locus of control from powerful others; being accompanied by a partner or dependent children had a protective effect on frequent use. Conclusions. Among homeless adults with universal health insurance, a small subgroup accounted for the majority of visits to emergency services. Frequent use was driven by multiple predisposing, enabling, and need factors.
Objective.Chronic pain is an important public health issue.However, characteristics and needs of marginalized populations have received limited attention.Studies on prevalence and correlates of chronic pain among homeless persons are lacking.We assessed chronic pain among homeless persons with mental illness in the At Home/Chez Soi study.Design.Cross-sectional data from a randomized controlled trial on homelessness and mental health.Setting.Data collected between 2009 and 2013 in three Canadian cities.Subjects.One thousand two hundred eighty-seven homeless persons with mental illness.Methods.Data on chronic pain and utilization of prescribed and nonprescribed interventions was assessed using a chronic pain screening instrument.Mental illness was diagnosed with the Mini-International Neuropsychiatric Interview.Results.Forty-three percent reported moderate to severe chronic pain, interfering with general daily activities (80%), sleep (78%), and social interactions (61%).Multivariate analysis indicated that increasing age and diagnoses of major depressive disorder, mood disorder with psychotic features, panic disorder, and post-traumatic stress disorder (PTSD) were independent predictors of chronic pain.Chronic pain was further associated with increased suicidality.Among participants reporting chronic pain, 64% had sought medical treatment and 56% treated pain with prescribed drugs, while 38% used illicit drugs for pain relief.Conclusions.Chronic pain is very common among homeless persons with mental illness and affects activities of daily living.Clinicians treating this population should be aware of the common connections between chronic pain, depression, panic disorder, PTSD, and substance use.While the data indicate the contribution of chronic pain to complex treatment needs, they also indicate a clear treatment gap.
Introduction Homelessness is a global issue with a detrimental impact on health. Individuals who experience homelessness are often labelled as frequent healthcare users; yet it is a small group of individuals who disproportionately use the majority of services. This protocol outlines the approach to combine survey data from a prospective cohort study and randomised controlled trial with administrative healthcare data to characterise patterns and predictors of healthcare utilisation among a group of adults with a history of homelessness. Methods and analysis This cohort study will apply survey data from the Health and Housing in Transition study and the At Home/Chez Soi study linked with administrative healthcare databases in Ontario, Canada. We will use count models to quantify the associations between baseline predisposing, enabling, and need factors and hospitalisations, emergency department visits and physician visits in the following year. Subsequently, we will identify individuals who are high-cost users of the health system (top 5%) and characterise their patterns of healthcare utilisation. Logistic regression will be applied to develop a set of models to predict who will be high-cost users over the next 5 years based on predisposing, enabling and need factors. Calibration and discrimination will be estimated with bootstrapped optimism (bootstrap performance—test performance) to ensure the model performance is not overestimated. Ethics and dissemination This study is approved by the St Michael’s Hospital Research Ethics Board and the University of Toronto Research Ethics Board. Findings will be disseminated through publication in peer-reviewed journals, presentations at research conferences and brief reports made available to healthcare professionals and the general public. Trial Registration Number This is a secondary data analysis of a cohort study and randomized trial. The At Home/Chez Soi study has been registered with the International Standard Randomised Control Trial Number Register and assigned ISRCTN42520374 .
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