Describing the homeless mentally ill: cluster analysis results

Identifying a typology of homelessness based on self-sufficiency: Implications for rapid re-housing interventions

Limited research exists on the characteristics of individuals experiencing homelessness who achieve positive housing outcomes in rapid re-housing (RRH) interventions. We aimed to identify a typology of homelessness based on Self-Sufficiency Matrix (SSM) domains and examine its relation to sociodemographic characteristics and housing placement through RRH. Homeless Management Information System data, including sociodemographics, SSM domains, and housing outcomes, were obtained for 261 Homelessness Prevention and Rapid Re-housing Program participants in Indianapolis, Indiana, from 2009 to 2012. Latent class analysis (LCA) and latent class regression (LCR) were used to identify subgroups and predict associations between the identified typology and sociodemographic variables and housing placement outcome, respectively. LCA revealed three classes based on SSM domains: "High Self-Sufficiency," "Low Socioeconomic Self-Sufficiency," and "Low Psychosocial Self-Sufficiency." LCR revealed that race significantly predicted class membership such that Black individuals had a significantly higher probability of being in the High Self-Sufficiency class than the other two classes. Latent class membership significantly predicted immediate housing placement. The Low Psychosocial Self-Sufficiency group was the least likely to exit RRH to a permanent housing placement compared to the two other subgroups. Results affirm that individuals with greater psychosocial self-sufficiency have better housing outcomes through RRH than those with more complex support needs. Future research is needed to understand factors influencing differential self-sufficiency, as measured by the SSM, among Black and White individuals.

The Role of Stressful Life Events among Women Experiencing Homelessness: An Intragroup Analysis

The aim of this study is to examine stressful life events (SLEs) among homeless women and how SLEs were related to patterns and trajectories of homelessness. Specifically, the study aimed to replicate and build upon by Muñoz et al. (2005) by using cluster and discriminant analysis in a sample of 116 homeless women. The sample was classified based on SLEs, and the relationship between the resulting subgroups and sociodemographic characteristics, homeless trajectories, physical and mental health, and social support was examined. The results suggest that the three-cluster solution was theoretically and structurally meaningful: (a) the "Shorter homelessness trajectories and best health and mental health" subgroup was characterized by low levels of SLEs, a shorter homeless trajectory, lower prevalence of physical and mental health problems, and lower rates of alcohol and substances consumption; (b) the "Early onset of homelessness and poorer health and poorer mental health" subgroup was characterized by a higher prevalence of childhood and adolescence SLEs, an early onset of homelessness and greater chronification, mental health problems, and alcohol consumption; and (c) the "Chronic homelessness and poorest health and mental health" subgroup was mainly characterized by a higher prevalence of typically adulthood SLEs, as well as some SLEs that may be unique to women, a greater number of periods of homelessness, physical health problems, disabilities, and substance misuse. Increased knowledge about the different subgroups and trajectories of homeless women, as well as their specific characteristics and needs, will help us design social services and policies sensitive to all these differences.

Differences in Clinical Outcomes of Adults Referred to a Homeless Transitional Care Program Based on Multimorbid Health Profiles: A Latent Class Analysis

Background: People experiencing homelessness face significant medical and psychiatric illness, yet few studies have characterized the effects of multimorbidity within this population. This study aimed to (a) delineate unique groups of individuals based on medical, psychiatric, and substance use disorder profiles, and (b) compare clinical outcomes across groups. Methods: We extracted administrative data from a health system electronic health record for adults referred to the Durham Homeless Care Transitions program from July 2016 to June 2020. We used latent class analysis to estimate classes in this cohort based on clinically important medical, psychiatric and substance use disorder diagnoses and compared health care utilization, overdose, and mortality at 12 months after referral. Results: We included 497 patients in the study and found 5 distinct groups: "low morbidity" (referent), "high comorbidity," "high tri-morbidity," "high alcohol use," and "high medical illness." All groups had greater number of admissions, longer mean duration of admissions, and more ED visits in the 12 months after referral compared to the "low morbidity" group. The "high medical illness" group had greater mortality 12 months after referral compared to the "low morbidity" group (OR, 2.53, 1.03-6.16; 95% CI, 1.03-6.16; p = 0.04). The "high comorbidity" group (OR, 5.23; 95% CI, 1.57-17.39; p < 0.007) and "high tri-morbidity" group (OR, 4.20; 95% CI, 1.26-14.01; p < 0.02) had greater 12-month drug overdose risk after referral compared to the referent group. Conclusions: These data suggest that distinct groups of people experiencing homelessness are affected differently by comorbidities, thus health care programs for this population should address their risk factors accordingly.

Profiles of Quality of Life in a Homeless Population

Quality of life (QOL) is a key indicator in mental health planning, program evaluation, and evaluation of patient outcomes. Yet few studies have focused on QOL in homeless populations. More specifically, research has yet to identify profiles of homeless individuals based on their QOL using cluster analysis. This study developed a typology of QOL for a sample of 455 homeless individuals recruited from 27 community and public organizations in Quebec (Canada). The typology was developed based on QOL scores, as well as sociodemographic, clinical, and service use variables. Study participants had to be at least 18 years old, with current or previous experience of homelessness. A questionnaire including socio-demographics, residential history, service utilization, and health-related variables was administered. Four clusters were identified using a two-step cluster analysis. QOL was highest in the cluster consisting of older women with low functional disability, and relatively few episodes of homelessness. The second cluster with high QOL scores included individuals living in temporary housing with relatively few mental health or substance use disorders (SUDs). The third cluster with low QOL included middle-aged women living in temporary housing, with criminal records, personality disorders, and SUDs. QOL was also lower in the fourth cluster composed of individuals with multiple homeless episodes and complex health problems as well as high overall service use. Findings reinforced the importance of disseminating specific programs adapted to the diverse profiles of homeless individuals, with a view toward increasing their QOL.

Applying a Time-Patterned Typology of Homelessness Among Individuals with Mental Illness

Identification of subgroups of the homeless populations, or typologies, has been an important research priority to guide homelessness services and policies. This study builds on previous typological research conducted in the general homeless population by focusing on individuals with mental illness to further delineate typologies within a more homogenous subset of the homeless population. A time-patterned typology based on episodes of street and shelter homelessness over a four-year period was applied to a sample of 246 individuals identified through mental health administrative records. Four groups were created based upon patterns of homelessness: 26.8% experienced homelessness for 4 years, 13.4% had one episode of homelessness but were no longer homeless at the end of the follow-up, 48.4% had at least two episodes of homelessness, and 11.4% had a single episode of homelessness lasting 3 months or less. Findings from a multinomial logistic regression indicated that gender, presence of a psychotic disorder, substance abuse, and year of study enrollment significantly predicted group membership. Residential trajectories upon exit from homelessness and at the end of the four-year follow-up were examined. Implications for current policy and future research are discussed.

Describing Trajectories of Homeless Service Use in Hawai'i Using Latent Class Growth Analysis

The State of Hawai'i, like many other areas across the United States, has large numbers of individuals and families experiencing homelessness, many of whom seek support through statewide shelters and services. This study explored the diversity of ways in which individuals and families moved through Hawai'i's homeless service system. Using administrative data, a cohort of new service users was tracked across time to trace the developmental trajectories of their homeless service use. The sample consisted of adults who had entered the service system for the first time in the fiscal year (FY) of 2010 (N = 4655). These individuals were then tracked through the end of FY 2014, as they used emergency shelter, transitional shelter, and outreach services. A latent class growth analysis was conducted and identified four distinct patterns of service use: low service use (n = 3966, 85.2%); typical transitional shelter use (n = 452, 9.7%); atypical transitional use (n = 127, 2.7%), and potential chronic service use (n = 110, 2.4%). Multinomial logistic regression models were then used to determine if select demographic, family, background experience (e.g., education, employment), or health variables were associated with class membership. The distinct profiles for class membership are discussed.

Missing Voices

Many survivors of intimate partner violence turn to the criminal legal system for help in ending the violence against them. An increasing amount of research has focused on how the system ought to handle these cases. But, with few exceptions, the existing research has not examined survivors'satisfaction with the criminal legal system. The current research explored intimate partner violence survivors' patterns of satisfaction with the criminal legal system response. Survivors from three sites were interviewed after a domestic violence-related court case closed. Cluster analysis revealed four patterns of satisfaction with multiple components of the criminal legal system. Multinomial logistic regression was used to evaluate an ecological model predicting cluster membership. Characteristics of the survivor and assailant, the criminal legal system response, and women's perceived control over this response were all related to satisfaction. Implications for improving the criminal legal system response to survivors of intimate partner violence are discussed.

Health care for the homeless: what we have learned in the past 30 years and what's next

In the 1980s, the combined effects of deinstitutionalization from state mental hospitals and the economic recession increased the number and transformed the demographic profile of people experiencing homelessness in the United States. Specialized health care for the homeless (HCH) services were developed when it became clear that the mainstream health care system could not sufficiently address their health needs. The HCH program has grown consistently during that period; currently, 208 HCH sites are operating, and the program has become embedded in the federal health care system. We reflect on lessons learned from the HCH model and its applicability to the changing landscape of US health care.

Latent homeless risk profiles of a national sample of homeless veterans and their relation to program referral and admission patterns

OBJECTIVES

We identified risk and need profiles of homeless veterans and examined the relation between profiles and referrals and admissions to Department of Veterans Affairs (VA) homeless service programs.

METHODS

We examined data from the VA's new Homeless Operations Management and Evaluation System on 120,852 veterans from 142 sites nationally in 2011 and 2012 using latent class analyses based on 9 homeless risk factors. The final 4-class solution compared both referral and admission to VA homeless services.

RESULTS

We identified 4 latent classes: relatively few problems, dual diagnosis, poverty-substance abuse-incarceration, and disabling medical problems. Homeless veterans in the first group were more likely to be admitted to the VA's permanent supportive housing program, whereas those in the second group were more likely to be admitted to more restrictive VA residential treatment. Homeless veterans in the third group were more likely to be admitted to the VA's prisoner re-entry program, and those in the fourth group were more likely to be directed to VA medical services.

CONCLUSIONS

The heterogeneous risk and need profiles of homeless veterans supported the diversity of VA homeless services and encouraged the development of specialized services to meet their diverse needs.

Comparing the housing trajectories of different classes within a diverse homeless population

The paper presents findings from a longitudinal study identifying different classes of homeless individuals in a mid-size Canadian city based on health-related characteristics and comparing the housing trajectories of these classes 2 years later. Using data collected through in-person interviews with a sample of 329 single persons who have experienced homelessness, the paper presents results of a latent class analysis. Results found four distinct latent classes characterized by different levels of severity of health problems--i.e., a class of individuals who are "Higher Functioning" (28.7%), a second class with "Substance Abuse Problems" (27.1%), a third class with "Mental Health Substance Abuse Problems" (22.6%), and a fourth class with "Complex Physical and Mental Health Problems" (21.6%) that included having diminished physical functioning, multiple chronic physical health conditions, mental health difficulties, and in some cases substance abuse problems. Follow-up interviews with 197 of these individuals (59.9%) 2 years later showed the class of individuals with substance abuse problems experiencing the greatest difficulty in exiting homelessness and achieving housing stability. Implications of these findings for social policy development and program planning are discussed.

WHO IS DOING WELL? A TYPOLOGY OF NEWLY HOMELESS ADOLESCENTS

There is growing evidence to support developing new typologies for homeless adolescents. Current typologies focus on the risks associated with being homeless, with less consideration of the positive attributes of homeless adolescents. The authors examined both risk and protective factors in a sample of newly homeless adolescents. Using cluster analysis techniques, they identified three distinct clusters of newly homeless adolescents: those who are protected and doing relatively well while out of home with more protective than risk factors, those who are at-risk, and those who are risky with more risk than protective factors. Over half (51.9%) of these newly homeless adolescents were in the protected cluster. This typology has implications for the design and implementation of services and interventions for newly homeless adolescents to reconnect them with stable housing situations.

[Are the responses of clients with psychiatric and addiction disorders using services for the homeless valid?]

OBJECTIVE

To verify the validity of self-reported data on service use from clients with mental or substance abuse disorders in Montreal and Quebec services for homeless individuals.

METHOD

To compare the self-reported data from the Enquête chez les personnes itinérantes (Fournier, 2001) on health service use with official data from Quebec health services (MEDECHO and RAMQ).

RESULTS

The analysis shows a moderate-to-high level of concordance between the self-reported and the official data. Almost every item analyzed presents moderate but significant intraclass correlation coefficients for general and psychiatric hospitalization and use of psychiatric medication, but lower and nonsignificant coefficients for medical hospitalization. Participant characteristics such as mental disorders, homeless status, and substance abuse problems do not seem to have an impact on data validity.

CONCLUSIONS

The answers on health service use from individuals with mental health problems, homeless status, or substance abuse problems are generally valid in the results presented. Thus the self-reported data from these individiuals seems to be a generally valid source of data and an affordable one for research on service use or other domains.

College students' multiple stereotypes of lesbians: A cognitive perspective

This paper examines stereotypes of lesbians held by college students. Multiple stereotypes are elicited from a free response trait listing task, followed by a sorting task. The results of the sorting task are submitted to cluster analysis and multidimensional scaling to reveal the complexity of cognitive representations of this group. Eight types are described, reflecting underlying distinctions between positive perceptions (e.g., lipstick lesbian, career-oriented feminist) and negative perceptions (e.g., sexually deviant, angry butch) and also between relative strength and weakness. The research is discussed in terms of cognitive perspectives on stereotyping and gender inversion theory. Suggestions for future research are provided.

Role of stressful life events in homelessness: an intragroup analysis

The present paper describes the results of an analysis of individual differences-using multi-dimensional strategies-in stressful life event data collected from a representative sample of homeless people (N = 289) in Madrid, Spain, which revealed the existence of three subgroups within the sample. Each subgroup can be defined by the following differentiating characteristics: The first cluster (n = 124) was characterized by economic problems; the second (n = 80) by health problems, alcohol abuse, and death of one or both parents; and the third cluster (n = 50) by an accumulation of stressful life in childhood events and alcohol abuse. In order to define the subgroups, the article also examines the differences found in other variables such as total duration of homelessness, mental and physical health status, and social support availability, among others. The existence of such subgroups within the homeless population emphasizes the importance of designing different interventions for each of these groups, adapted to their diverse needs.

Understanding homeless adults by testing the theory of self-care

This article explicates, within a sample of homeless adults, the relationship between self-care agency, self-care, and well-being, while controlling for select basic conditioning factors. Self-care is found to explain 30% of the variance in current well-being. Self-esteem and affect balance, along with the power components of self-care agency, are found to explain 25% of the variance in self-care and, together with select basic conditioning factors, to explain 54% of its variance. Affect is proposed as an energy disposition, a dimension of self-care agency. Recommendations are made to strengthen the homeless individual's self-care agency.

The community response to rape: victims' experiences with the legal, medical, and mental health systems

This research examined how the legal, medical, and mental health systems respond to the needs of rape victims. A national random sample of rape victim advocates (N = 168) participated in a phone interview that assessed the resources available to victims in their communities, as well as the specific experiences of the most recent rape victim with which they had completed work. Results from hierarchical and iterative cluster analysis revealed three patterns in victims' experiences with the legal, medical, and mental health systems. One group of victims had relatively positive experiences with all three systems, a second group had beneficial outcomes with only the medical systems, and the final group had difficult encounters with all three systems. Multinominal logistic regression was then used to evaluate an ecological model predicting cluster membership. Community-level factors as well as features of the assault and characteristics of the victims predicted unique variance in victims' outcomes with the legal, medical, and mental health systems. These findings provide empirical support for a basic tenet of ecological theory: environmental structures and practices influence individual outcomes. Implications for ecological theory and interventions to improve the community response to rape victims' needs are discussed.

A cluster analysis of not-in-treatment drug users at risk for HIV infection

The purpose of the analysis described here was to classify not-in-treatment drug users participating in the National Institute on Drug Abuse (NIDA)-sponsored Cooperative Agreement study into several "homogeneous" HIV risk groups using cluster analysis. Data for this analysis (N=17,778) were collected at 19 study sites in the United States and Puerto Rico. Measures selected for the cluster analysis were limited to (a) current drug use and HIV risk behaviors, (b) mutually exclusive behaviors, (c) behaviors directly related to HIV risk, and (d) behaviors that were not statistically rare. Eight homogeneous HIV risk clusters were produced. Crack cocaine use was the most distinguishing feature of three clusters. Another three clusters were distinguishable by drug injection and needle use practices. Two additional clusters could not be grouped with either the crack- or the injection-dominant clusters. Prostitution was the most distinguishing risk behavior of one of these clusters, and extremely high drug injection frequencies and relative rates of risky needle use characterized the other. Composition of the clusters varied significantly by gender, race/ethnicity, educational attainment, and drug use characteristics. In addition, perceptions and behaviors initiated to reduce the chances of becoming infected with HIV varied by cluster. Subjects in the crack-predominant clusters reported low perceptions of the chances of getting AIDS. Perceptions of the chances of becoming infected with HIV among subjects in the injection-predominant clusters were strongly related to injection frequency. Seroprevalence was also related to cluster. Higher rates of HIV infection were evident among the injection-predominant clusters, and higher rates were related to frequency of injection and the rate of risky needle use. Among the crack-predominant clusters, the relationship between drug use and sexual behaviors and HIV infection was less clear.

Applying cluster analysis to test a typology of homelessness by pattern of shelter utilization: results from the analysis of administrative data

This study tests a typology of homelessness using administrative data on public shelter use in New York City (1988-1995) and Philadelphia (1991-1995). Cluster analysis is used to produce three groups (transitionally, episodically, and chronically homeless) by number of shelter days and number of shelter episodes. Results show that the transitionally homeless, who constitute approximately 80% of shelter users in both cities, are younger, less likely to have mental health, substance abuse, or medical problems, and to overrepresent Whites relative to the other clusters. The episodically homeless, who constitute 10% of shelter users, are also comparatively young, but are more likely to be non-White, and to have mental health, substance abuse, and medical problems. The chronically homeless, who account for 10% of shelter users, tend to be older, non-White, and to have higher levels of mental health, substance abuse, and medical problems. Differences in health status between the episodically and chronically homeless are smaller, and in some cases the chronically homeless have lower rates (substance abuse in New York; serious mental illness in Philadelphia). Despite their relatively small number, the chronically homeless consume half of the total shelter days. Results suggest that program planning would benefit from application of this typology, possibly targeting the transitionally homeless with preventive and resettlement assistance, the episodically homeless with transitional housing and residential treatment, and the chronically homeless with supported housing and long-term care programs.

Research on homeless men and women: existential-humanistic and clinical thinking

Researchers interested in homeless persons have concentrated on disease, overlooking assets. The content of this paper challenges researchers to a more comprehensive view of homeless samples to include mental wellness. Recommendations for research are suggested.

The changing careers of patients with chronic mental illness: a study of sequential patterns in mental health service utilization

The aim of this study was to describe patterns of service use over time by a group of persons with chronic mental illness who were homeless at the time of the index admission. Subjects were all persons admitted to Skid Row Mental Health Services in a recent year who had 25 or more previous admissions to any Los Angeles County Department of Mental Health service (N = 49). Sequences of type of service at each of the 25 admissions were compared with optimal matching and categorized with cluster analysis. Patients in earlier clusters had many inpatient admissions; those in later clusters had many admissions to outpatient, residential, and jail services. Service use by individuals in each cluster showed the same trends. However, there were also different patterns of service use for patients in cluster within the same tie frame. Analyzing multiple admissions sequentially helps to locate likely places to intervene in downward-spiraling careers.

Short versus longer term effectiveness of an outreach program for the homeless mentally ill

Presents 12-month follow-up results from an outreach/linkage intervention with persons who are homeless and mentally ill, contrasting these with results obtained at 4 months. Both sets reflect the success of the program in placing individuals in independent housing. However, longer term data provide useful information regarding client movement patterns and increased tenure in nonhomeless living arrangements beyond the termination of specialized services. Analyses of 12-month residential outcomes identified four variables as significant predictors: recruitment source, project service duration, CMH service duration, and client age. In contrast to 4-month predictors, variables reflecting baseline client functioning were no longer significantly related to outcome, suggesting that the positive effects of the intervention may take longer to achieve with some clients. Discussion focuses on the implications of these effectiveness results for future research designs and measures as well as the utility and limitations of preexperimental approaches for evaluating innovative service models when implementation and efficacy experiences are lacking.