Homelessness, health status, and health care use

OBJECTIVES

Little is known about the health status of those who are newly homeless. We sought to describe the health status and health care use of new clients of homeless shelters and observe changes in these health indicators over the study period.

METHODS

We conducted a longitudinal study of 445 individuals from their entry into the homeless shelter system through the subsequent 18 months.

RESULTS

Disease was prevalent in the newly homeless. This population accessed health care services at high rates in the year before becoming homeless. Significant improvements in health status were seen over the study period as well as a significant increase in the number who were insured.

CONCLUSION

Newly homeless persons struggle under the combined burdens of residential instability and significant levels of physical disease and mental illness, but many experience some improvements in their health status and access to care during their time in the homeless shelter system.

Homelessness and mental illness

In Great Britain 1-2 million people may be homeless. Most homeless people are men, but about 10-25% are women, of whom about half are accompanied by children. Significant mental illness is present in 30-50% of the homeless: functional psychoses predominate; acute distress and personality dysfunction are also prevalent. Co-morbidity of mental illness and substance abuse occurs in 20%, and physical morbidity rates exceed those of domiciled populations. The homeless mentally ill also have many social needs. Pathways to homelessness are complex; deinstitutionalization may be only one possible cause of the increase in the number of homeless people. There is much recent research estimating the extent of mental illness and the characteristics of selected subgroups of accessible homeless people. The evaluation of potential service solutions has received less attention. This review outlines the research, highlights current views on the definition and classification of homeless populations, and offers some guidelines on avenues which need to be explored.

BRIEF REPORT: the aging of the homeless population: fourteen-year trends in San Francisco

BACKGROUND

Homelessness is associated with high rates of health and substance use problems.

OBJECTIVE

To examine trends in the age, housing, health status, health service utilization, and drug use of the homeless population over a 14-year period.

DESIGN

Serial cross-sectional.

PARTICIPANTS

We studied 3,534 literally homeless adults recruited at service providers in San Francisco in 4 waves: 1990-1994, 1996-1998, 1999-2000, and 2003.

MEASUREMENTS

Age, time homeless, self-reported chronic conditions, hospital and emergency department utilization, and drug and alcohol use.

RESULTS

The median age of the homeless increased from 37 to 46 over the study waves, at a rate of 0.66 years per calendar year (P<.01). The median total time homeless increased from 12 to 39.5 months (P<.01). Emergency department visits, hospital admissions, and chronic health conditions increased.

CONCLUSIONS

The homeless population is aging by about two thirds of a year every calendar year, consistent with trends in several other cities. It is likely that the homeless are static, aging population cohort. The aging trends suggest that chronic conditions will become increasingly prominent for homeless health services. This will present challenges to traditional approaches to screening, prevention, and treatment of chronic diseases in an aging homeless population.

Utilization of health care services among subgroups of urban homeless and housed poor

The objective of this study was to describe health services utilization by homeless and housed poor adults stratified by six-month primary sheltering arrangements. The primary method used in this study was a cross-sectional survey of 373 homeless adults. Interviews at twenty-four community-based sites (in Allegheny County, Pennsylvania) assessed demographic and clinical characteristics, reasons for homelessness, functional status and social support networks, and health services utilization during the previous six months. Multivariate logistic regression analysis identified factors independently associated with health services utilization. Subjects were classified as unsheltered, emergency-sheltered, bridge-housed, doubled-up, and housed-poor. The median age of the subjects was 38.4 years; 78.6 percent were African American and 69.9 percent had health insurance. Overall, 62.7 percent reported health services use in the past six months, with significantly more use among emergency-sheltered and bridge-housed subjects than among unsheltered subjects. The study concludes that health services use among the homeless is substantial and is independently associated with sheltering arrangement, comorbid illness, race, health insurance, and social support.

Homeless chronicity and health-related quality of life trajectories among adults with addictions

BACKGROUND

New federal initiatives target funds toward chronically homeless as distinct from other homeless persons. Few data exist, however, to substantiate the implications of chronic homelessness for major health outcomes.

OBJECTIVES

Using data from a 2-year cohort of addicted persons, we tested whether changes in mental and physical health-related quality of life (HRQOL) differed according to homeless chronicity.

METHODS

Using self-reported homelessness, we classified subjects as chronically homeless (CH; n = 60), transitionally homeless (TRANS; n = 108), or as housed comparison subjects (HSD; n = 106). The Short Form-36 Health Survey, administered at baseline and 2 follow-ups over a period of 2 years, provided a Mental Component Summary (MCS) and a Physical Component Summary (PCS) for HRQOL. Mixed model linear regression was used to test the association between housing status, MCS, and PCS. Additional models assessed whether medical, psychiatric, addiction, and social support measures could account for HRQOL differences.

RESULTS

All subjects had low MCS scores at study entry (mean, 31.2; SD, 12.6). However, there was a significant housing status-by-time interaction (P = 0.01). At final follow-up, CH and TRANS subjects had lower adjusted MCS scores than HSD subjects (33.4, 38.8, and 43.7 for the 3 groups, respectively; all P < or = 0.01). By contrast, housing status and PCS were not significantly associated (P = 0.19). Medical, psychiatric, addiction, and social support variables had significant associations with MCS, and their inclusion in the regression reduced the apparent effect of housing status on MCS.

CONCLUSIONS

Chronic homelessness was associated with especially poor mental but not physical HRQOL over time. These findings reinforce a new typology of homelessness.

Identifying Homelessness among Veterans Using VA Administrative Data: Opportunities to Expand Detection Criteria

Researchers at the U.S. Department of Veterans Affairs (VA) have used administrative criteria to identify homelessness among U.S. Veterans. Our objective was to explore the use of these codes in VA health care facilities. We examined VA health records (2002-2012) of Veterans recently separated from the military and identified as homeless using VA conventional identification criteria (ICD-9-CM code V60.0, VA specific codes for homeless services), plus closely allied V60 codes indicating housing instability. Logistic regression analyses examined differences between Veterans who received these codes. Health care services and co-morbidities were analyzed in the 90 days post-identification of homelessness. VA conventional criteria identified 21,021 homeless Veterans from Operations Enduring Freedom, Iraqi Freedom, and New Dawn (rate 2.5%). Adding allied V60 codes increased that to 31,260 (rate 3.3%). While certain demographic differences were noted, Veterans identified as homeless using conventional or allied codes were similar with regards to utilization of homeless, mental health, and substance abuse services, as well as co-morbidities. Differences were noted in the pattern of usage of homelessness-related diagnostic codes in VA facilities nation-wide. Creating an official VA case definition for homelessness, which would include additional ICD-9-CM and other administrative codes for VA homeless services, would likely allow improved identification of homeless and at-risk Veterans. This also presents an opportunity for encouraging uniformity in applying these codes in VA facilities nationwide as well as in other large health care organizations.

Health care utilization among homeless adults prior to death

This study characterizes health care utilization prior to death in a group of 558 homeless adults in Boston. In the year before death, 27 percent of decedents had no outpatient visits, emergency department visits, or hospitalizations except those during which death occurred. However, 21 percent of homeless decedents had a health care contact within one month of death, and 21 percent had six or more outpatient visits in the year before death. Injection drug users and persons with HIV infection were more likely to have had contact with the health care system. This study concludes that homeless persons may be underusing health care services even when they are at high risk of death. Because a subset of homeless persons had extensive health care contacts prior to death, opportunities to prevent deaths may have been missed, and some deaths may not have been preventable through medical intervention.

Capturing intervention effects over time: reanalysis of a critical time intervention for homeless mentally ill men

OBJECTIVES

We analyzed whether a method for identifying latent trajectories--latent class growth analysis (LCGA)--was useful for understanding outcomes for individuals subject to an intervention.

METHODS

We used LCGA to reanalyze data from a published study of mentally ill homeless men in a critical time intervention (CTI) program. In that study, 96 men leaving a shelter's on-site psychiatric program were randomly assigned to experimental and control groups. The former received CTI services and the latter usual services. Each individual's housing circumstances were observed for 18 months after program initiation. Our outcome measure was monthly homelessness: a person was considered homeless in a month if he was homeless for even 1 night that month.

RESULTS

Four latent classes were found among the control group, but just 3 among the experimental group. Control, but not experimental, group individuals showed a small class of chronically homeless men. The size of the never-homeless class was 19 percentage points larger for the experimental than for the control group. J- and inverted-U-shaped patterns were also found among both groups, but with important differences in timing of patterns.

CONCLUSIONS

Our results reveal effects not apparent in the original analysis, suggesting that latent class growth models improve intervention evaluation.

Association of childhood abuse with homeless women's social networks

OBJECTIVE

Childhood abuse has been linked to negative sequelae for women later in life including drug and alcohol use and violence as victim or perpetrator and may also affect the development of women's social networks. Childhood abuse is prevalent among at-risk populations of women (such as the homeless) and thus may have a stronger impact on their social networks. We conducted a study to: (a) develop a typology of sheltered homeless women's social networks; (b) determine whether childhood abuse was associated with the social networks of sheltered homeless women; and (c) determine whether those associations remained after accounting for past-year substance abuse and recent intimate partner abuse.

METHODS

A probability sample of 428 homeless women from temporary shelter settings in Los Angeles County completed a personal network survey that provided respondent information as well as information about their network members' demographics and level of interaction with each other. Cluster analyses identified groups of women who shared specific social network characteristics. Multinomial logistic regressions revealed variables associated with group membership.

RESULTS

We identified three groups of women with differing social network characteristics: low-risk networks, densely connected risky networks (dense, risky), and sparsely connected risky networks (sparse, risky). Multinomial logistic regressions indicated that membership in the sparse, risky network group, when compared to the low-risk group, was associated with history of childhood physical abuse (but not sexual or emotional abuse). Recent drug abuse was associated with membership in both risky network groups; however, the association of childhood physical abuse with sparse, risky network group membership remained.

CONCLUSIONS

Although these findings support theories proposing that the experience of childhood abuse can shape women's social networks, they suggest that it may be childhood physical abuse that has the most impact among homeless women.

PRACTICAL IMPLICATIONS

The effects of childhood physical abuse should be more actively investigated in clinical settings, especially those frequented by homeless women, particularly with respect to the formation of social networks in social contexts that may expose these women to greater risks.

Identifying homelessness at an urban public hospital: a moving target?

Hospitals do not routinely collect data about homelessness. The objectives of the present study were to (1) describe rate of patient reports of homelessness among inpatients at a public hospital, (2) assess the agreement between patient report of housing status on a study questionnaire with clinical and administrative data about homelessness, and (3) assess changes in housing status during hospitalization. We conducted a cross-sectional survey of inpatients at an urban public hospital to assess housing status; we then examined subjects' medical charts to assess agreement with the questionnaire on housing status. Of inpatients, 25.6% were homeless at discharge. An additional 19.4% were marginally housed. One third of homeless persons had their housing status change during their hospitalization. Administrative data identified 25.6% and physicians' notes identified 22.5% as homeless. Clinical, administrative, and survey data did not agree. Homelessness and changes in housing status are common among inpatients at an urban public hospital. Poor agreement on who is homeless limits the usefulness of data.

ASAM Patient Placement Criteria Treatment Levels

We report findings from a community-based two-city survey of homeless adults comparing the level of substance abuse treatment assigned to them using the ASAM Patient Placement Criteria with care actually received during the previous 12 months. Overall 531 adults were surveyed with 382 meeting DSM-IIIR criteria of being in need of treatment or having a demand for treatment. Of those with a treatment need, 1.5% met criteria for outpatient care, 40.3% intensive outpatient/partial hospitalization care, 29.8% medically monitored care and 28.8% managed care levels. In contrast, of those receiving treatment (50.5%, 162 persons), almost all care received by this cohort was either inpatient or residential based (83.6%). Unsheltered homeless persons and those without insurance were significantly more likely to report not receiving needed treatment. Lack of treatment availability or capacity, expense, and changing one's mind while on a wait list were the most commonly cited reasons for no treatment.

Expert knowledge, cognitive polyphasia and health: a study on social representations of homelessness among professionals working in the voluntary sector in London

This article develops a social representational approach to understanding expert knowledge and its relation to health. Research with homelessness professionals (HPs) working in the UK voluntary sector shows that expert definitions of homelessness can either undermine or enhance the health of the homeless. Guided by the concepts of social representations and cognitive polyphasia, the analysis reveals a contradictory field of knowledge, which reflects the struggle of professionals to sustain a humanizing approach and resist the pressures of statutory agendas. We conclude pointing to the need of recognizing the impact of professional's knowledge on the health and care policies for the homeless.

Describing the homeless mentally ill: cluster analysis results

Presented descriptive data on a group of homeless, mentally ill individuals (N = 108) served by a two-site demonstration project, funded by NIMH. Comparing results with those from other studies of this population produced some differences and some similarities. Cluster analysis techniques were applied to the data, producing a 4-group solution. Data validating the cluster solution are presented. It is suggested that the cluster results provide a more meaningful and useful method of understanding the descriptive data. Results suggest that while the population of individuals served as homeless and mentally ill is quite heterogeneous, many have well-developed functioning skills--only one cluster, making up 35.2% of the sample, fits the stereotype of the aggressive, psychotic individual with skill deficits in many areas. Further discussion is presented concerning the implications of the cluster analysis results for demonstrating contextual effects and thus better interpreting research results from other studies and assisting in future services planning.

Development of a frailty framework among vulnerable populations

Frailty is a public health issue that is experienced by homeless and other vulnerable populations; to date, a frailty framework has not been proposed to guide researchers who study hard-to-reach populations. The Frailty Framework among Vulnerable Populations has been developed from empirical research and consultation with frailty experts in an effort to characterize antecedents, that is, situational, health-related, behavioral, resource, biological, and environmental factors that contribute to physical, psychological, and social frailty domains and impact adverse outcomes. As vulnerable populations continue to age, a greater understanding of frailty will enable the development of nursing interventions.

Are the mentally ill homeless a distinct homeless subgroup?

The question has been raised whether it is useful or meaningful to dichotomize the homeless population by mental illness - i.e., to consider the mentally ill homeless as distinct from other homeless people. The current article presents evidence from a single data set to address this question empirically. Data from a randomly sampled population of 900 homeless men and women systemically interviewed using the Diagnostic Interview Schedule were examined to determine associations of mental illness with the problems of homelessness, controlling for the presence of substance abuse in the analyses. Although a few clinically meaningful associations with mental illness were found that might suggest directions for appropriate interventions, mental illness did not differentiate individuals in many important demographic and biographic respects. Individual diagnoses did not perform much better in differentiating the homeless by mental illness. Schizophrenia and bipolar mania showed a few significant associations not identified by the "major mental illness" construct. Major depression, constituting the majority of nonsubstance Axis I disorder in the homeless, provided no association beyond that obtained with the "major mental illness" category. The data provide little support for conceptualizing homeless subgroups or homelessness in general on the basis of mental illness alone. To do so also risks neglecting the emotional distress of the majority without major mental illness and the other problems that homeless persons share regardless of psychiatric illness. While serious mental illness is overrepresented among the homeless, it represents just one of many important vulnerability factors for homelessness. Substance abuse is far more prevalent than other Axis I disorders. Media images equating homelessness with major mental illness unnecessarily stigmatize homeless people and encourage oversimplified and narrowly conceived psychiatric interventions. While continuing attention is needed on improving identification and management of serious mental illness among the homeless, this must be accomplished within the broader context of social and economic aspects of homelessness.

Subtle neurological deficits and psychopathological findings in substance-abusing homeless and non-homeless veterans

This study evaluated the hypothesis that homeless individuals would display higher levels of neurological deficits than non-homeless individuals, particularly in frontal lobe or executive functions. Eighteen acutely homeless, 15 chronically homeless, and 20 non-homeless individuals admitted to an inpatient psychiatric service received a battery of neurological and psychosocial measures. In comparison to non-homeless subjects with comparable levels of psychopathology, homeless individuals showed higher levels of hostility, prior criminal activity, and family history of psychiatric illness, but lower levels of depression. A positive relationship between hostility and neurological soft signs was observed among chronically homeless subjects. These results suggest that a substantial subset of nonpsychotic homeless veterans suffers from "occult" neurological deficits.

Homeless people in León (Nicaragua): Conceptualizing and measuring homelessness in a developing country

Homelessness is a global phenomenon that affects groups in situations of poverty and social exclusion, in both developed and developing nations. However, the scientific literature on homeless people in developing countries is scant. This work shows the difficulties defining homelessness and examines the necessary criteria for who will be deemed a homeless person in a developing country. Furthermore, the results of the Point-In-Time (PIT) count of homeless people-a measure of the number of homeless people on a specific day-done in the city of León, Nicaragua (population: 185,000). Throughout the PIT count, 82 unduplicated people living in homelessness were tallied (76% male, 23% female), of which 47 answered a questionnaire. Most of the homeless people in León are male, mestizo, of Nicaraguan nationality, with a primary level education or less, and in a situation of chronic homelessness. Results showed a mean age of 47 years for these individuals. Most of the homeless people showed a bad physical appearance, had poor personal hygiene, and wore dirty clothing. Around half of the homeless observed seemed to have problems related to mental health, alcohol, and/or drugs. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The relationship between transience and current life situation in the homeless services-using population

Although transience has been the focus of an enormous amount of public attention, there has been limited empirical research on transience in the homeless population. The purpose of the study discussed in this article was to develop a construct of transience for the homeless services-using population. Transience was defined as consisting of four factors: migration, duration, intention, and involvement. This construct was used to predict current housing and employment status, substance use, receipt of entitlements, and health and mental health services use. The study collected data on 146 individuals. Findings suggest the validity of the study's conceptualization of transience, particularly in its ability to predict current substance use. This study also found indirect evidence for one previously proposed profile of transients--the "transient substance abuser," but this profile may have two categories--used drugs or used alcohol.

Tracking change in psychological distress among homeless adults: an examination of the effect of housing status

Although research has documented the endemic nature of psychological distress among homeless people, little is known about the variation of and change in distress when psychiatric disabilities and housing status are considered. Using longitudinal data from a homeless sample, the author examined the pattern of distress across three groups--people with serious mental illness (SMI), people with drug or alcohol problem, and people with neither diagnosis. Distress symptoms were most pervasive and persistent among people with SMI. The effect of housing status on distress differed across the three groups and was statistically significant for people with no psychiatric diagnosis.

Use of faith-based social service providers in a representative sample of urban homeless women

There are few quantitative studies on the characteristics of homeless persons who use faith-based social service providers. To help address the lack of information in this area, we analyzed survey data on 974 participants in the University of California at Los Angeles (UCLA) Homeless Women's Health Study, a representative sample of homeless women at shelters and meal programs in Los Angeles County. The primary objective of this analysis was to estimate the association of religious affiliation, race/ethnicity, income, and other client characteristics with the use of faith-based programs. In interviews at 78 homeless shelters and meal programs, study respondents provided information about their religious affiliation and other social and demographic characteristics. The names of the organizations were examined, and those with names that referenced specific religions or contained words connoting religiosity were designated as "faith based." At the time they were selected for study participation, 52% of respondents were using the services of faith-based providers. In multivariate logistic regression analysis, lower odds of using these providers were estimated for participants with no religious affiliation (compared with Christian respondents) and for African Americans and Latinas (compared with whites). There is evidence of systematic differences between the clients of faith-based and secular social service providers. The benefits of increased funding through a federal faith-based policy initiative may accrue primarily to subgroups of clients already using faith-based programs.

A comparison of taxonomic systems for classifying homeless men

The present study compared the relative merits of two taxonomic systems for classifying homeless men. One system classified homeless men based on their past history of psychiatric disability. The other system classified individuals on the basis of their current psychiatric impairment. Both classification systems displayed significant discriminating power using a set of predictor variables that included demographic variables, childhood happiness, current life satisfaction, social support, stressful life events, and history of homelessness. Based on the percentage of correct classifications the system based on current impairment was superior to the system based on past history.

The prevalence and characteristics of homelessness in the NSW substance treatment population: implications for practice

This study examines the prevalence and characteristics of homelessness episodes in Australian substance misuse treatment. A dataset containing all closed substance treatment episodes in NSW, Australia from July 2006 to June 2011 was used. Statistical analysis was used to determine any relationships between demographic and treatment variables and homelessness. Of the 213, 129 treatment episodes in the dataset 12.8% have some form of homelessness. Non-government and residential services have the highest prevalence of homelessness. Sex, age, and drug type have weak relationships with homelessness. Leaving against the advice of the treatment provider is more common in episodes where homelessness is a factor. Homelessness is a problem experienced by a significant proportion of the substance treatment population and treatment providers have an opportunity and an obligation to address it in their treatment delivery.

A classification model of homelessness using integrated administrative data: Implications for targeting interventions to improve the housing status, health and well-being of a highly vulnerable population

Homelessness is poorly captured in most administrative data sets making it difficult to understand how, when, and where this population can be better served. This study sought to develop and validate a classification model of homelessness. Our sample included 5,050,639 individuals aged 11 years and older who were included in a linked dataset of administrative records from multiple state-maintained databases in Massachusetts for the period from 2011-2015. We used logistic regression to develop a classification model with 94 predictors and subsequently tested its performance. The model had high specificity (95.4%), moderate sensitivity (77.8%) for predicting known cases of homelessness, and excellent classification properties (area under the receiver operating curve 0.94; balanced accuracy 86.4%). To demonstrate the potential opportunity that exists for using such a modeling approach to target interventions to mitigate the risk of an adverse health outcome, we also estimated the association between model predicted homeless status and fatal opioid overdoses, finding that model predicted homeless status was associated with a nearly 23-fold increase in the risk of fatal opioid overdose. This study provides a novel approach for identifying homelessness using integrated administrative data. The strong performance of our model underscores the potential value of linking data from multiple service systems to improve the identification of housing instability and to assist government in developing programs that seek to improve health and other outcomes for homeless individuals.