The effectiveness of an integrated collaborative care model vs. a shifted outpatient collaborative care model on community functioning, residential stability, and health service use among homeless adults with mental illness: a quasi-experimental study
© Stergiopoulos et al. 2015
Received: 17 March 2015
Accepted: 21 August 2015
Published: 28 August 2015
Although a growing number of collaborative mental health care models have been developed, targeting specific populations, few studies have utilized such interventions among homeless populations. This quasi-experimental study compared the outcomes of two shelter-based collaborative mental health care models for men experiencing homelessness and mental illness: (1) an integrated multidisciplinary collaborative care (IMCC) model and (2) a less resource intensive shifted outpatient collaborative care (SOCC) model.
In total 142 participants, 70 from IMCC and 72 from SOCC were enrolled and followed for 12 months. Outcome measures included community functioning, residential stability, and health service use. Multivariate regression models were used to compare study arms with respect to change in community functioning, residential stability, and health service use outcomes over time and to identify baseline demographic, clinical or homelessness variables associated with observed changes in these domains.
We observed improvements in both programs over time on measures of community functioning, residential stability, hospitalizations, emergency department visits and community physician visits, with no significant differences between groups over time on these outcome measures.
Our findings suggest that shelter-based collaborative mental health care models may be effective for individuals experiencing homelessness and mental illness. Future studies should seek to confirm these findings and examine the cost effectiveness of collaborative care models for this population.
KeywordsHomeless persons Collaborative mental health care Mental disorders Mental health services
Homelessness continues to be a major social concern throughout North America, with an estimated 150,000 individuals experiencing homelessness each year in Canada and 1.4 million in the US [1–3]. In Toronto, Canada’s largest urban center, approximately 28,000 different individuals used emergency shelters during 2008 , and single men outnumbered single women in shelter use, using 70 % of beds compared with 29 % for women .
Among individuals experiencing homelessness there is a high prevalence of mental illness and addictions. A recent systematic review reported a pooled prevalence estimate of 12.7 % for psychotic disorders and 11.4 % for mood disorders such as major depression . Substance use disorders are also widespread in this population, with a pooled prevalence estimate of 37.9 % . In addition, individuals facing homelessness also experience chronic medical conditions [7, 8], neurocognitive impairment [9, 10], and have higher mortality rates than people who are housed [11–13]. They face several barriers to accessing health services and appropriate disease management [11, 14, 15], and often rely on emergency department visits or inpatient hospitalizations for their health care [16–19].
Studies from the United States and Canada suggest that intensive case management (ICM), assertive community treatment (ACT) and Housing First approaches are effective interventions for people experiencing homelessness and mental illness [20–25]. The high costs associated with such specialized services have limited their availability in many urban centers, however, and the mental health needs of people facing homelessness remain largely unmet .
Additional, more easily available models of service delivery for this disadvantaged population are therefore urgently needed, particularly for individuals in need of less intensive models of service delivery. It has been suggested that programs that integrate both the health and social components of care are likely to be most effective . Shelter-based collaborative mental health care arrangements are examples of such programs [27–29]. In collaborative mental health care models, patients, their families, their caregivers, and health providers from primary and mental health care settings work together to provide more coordinated services for individuals with mental health needs . A substantial body of evidence suggests that collaborative care models are effective in reducing psychiatric symptoms and in enhancing quality of care among individuals with depression being treated in a primary care setting [31, 32]. Moreover, a growing number of studies are showing the beneficial effects of such models for other psychiatric disorders across primary care, specialty and mental health settings, including improvements in mental health and physical health symptoms, and functional outcomes [30, 33–37]. What is less well understood is the effectiveness of these models for disadvantaged populations, such as people experiencing homelessness, or key model ingredients underlying successful outcomes .
Although a growing number of collaborative mental health care models have been developed, few studies have utilized such interventions among homeless populations [30, 38, 37]. A study of a Shared Care Clinical Outreach Service to provide multidisciplinary care to individuals experiencing homelessness demonstrated that it is possible to adapt a collaborative mental health care model for this population . A pilot study of a shelter-based collaborative mental health care team by our group showed positive housing outcomes among 49 % of participants and clinical improvement among 35 %, 6 months after program enrollment . It must be noted however, that the pilot study`s sample was recruited from a single site, thus limiting the generalizability of study findings.
Although the concept of shelter-based collaborative mental health care is intuitively appealing, there is currently insufficient evidence to judge its effectiveness, or the comparative effectiveness of different models of collaborative care. This study uses a quasi-experimental design to address these knowledge gaps by comparing the outcomes of two shelter-based collaborative mental health care models [41–44] for individuals facing homelessness and mental illness: (1) an integrated multidisciplinary collaborative care (IMCC) model (liaison attachment model) and (2) a less resource intensive shifted outpatient collaborative care (SOCC) model. Studies conducted in samples of individuals with mental health conditions have shown that both types of models may increase accessibility to mental health services [36, 45, 46], improve clinical outcomes , reduce hospitalizations [48, 49] and result in high provider [45, 50, 51] and patient satisfaction [52, 53]. These studies, however, were not conducted in homeless populations, experiencing additional challenges in having their health and social needs met. In our study, IMCC involves a shelter-based team composed of shelter staff, psychiatrists, primary care physicians and other health professionals, whereas SOCC involves a psychiatrist providing outpatient care in a shelter setting, working closely with shelter staff, with primary care and other health supports provided off-site at community-based clinics [41–44]. The primary measure of effectiveness in this study was the patient’s level of community functioning 12 months after study enrolment. The secondary measures of effectiveness included: housing outcomes and health service utilization 12 months after study enrolment.
Integrated multidisciplinary collaborative care (IMCC). Agency A is a 780-bed shelter that provides care each year for over 4000 men experiencing homelessness in Toronto, Ontario. Agency A has received funding for a shelter-based multidisciplinary health team and has adopted an IMCC model of service delivery in partnership with a local teaching hospital.
In the integrated care or liaison attachment model, an on-site psychiatrist or mental health worker becomes an integral part of a primary care team . In this model, shelter staff and health care providers work as a single team and share a common electronic medical record. A psychiatric consultant works onsite four half days per week at Agency A. The consultant time is divided into two-thirds direct patient care and one-third indirect patient discussion and educational support to the team members to support the provision of mental health care. The IMCC model offers increased ease of referral, an interdisciplinary stepped approach to care, increased communication between diverse providers, coordinated care plans, and more integrated and comprehensive shelter based care and case management.
Shifted outpatient collaborative care model (SOCC). Agency B is a smaller 480-bed shelter located in Toronto, Ontario, that provides assistance for men over the age of 18 with similar unmet health and social services needs. Agency B has adopted the SOCC model of service delivery [41, 44], where a psychiatric consultant, not linked administratively to the shelter, provides outpatient care in the shelter setting.
At Agency B, the consultant time, half a day per week, is divided into two-thirds direct patient care and one-third indirect patient discussion and educational support to the shelter staff. The consultant psychiatrists share an electronic medical record with select shelter staff. Primary and mental health care are not integrated, and referrals to mental health are initiated by shelter staff. Agency B does not offer primary care or nursing services on site. Instead, such services are accessed through neighboring primary care centres. Other health provider support is obtained, as needed, through referral to other community agencies. The SOCC model focuses on the provision of timely psychiatric care, and offers increased ease of referral, an increased communication between shelter staff and the on-site psychiatrist, including review of treatment progress and care coordination/case management plans.
The psychiatric consultants involved in both models were drawn from the psychiatric staff of an urban academic hospital and shared an electronic medical record. Psychiatric consultations were available within approximately two weeks of referral at each of the two shelters.
Both shelters served men with complex mental health and social needs, and received referrals from a range of organizations, including hospitals, other community organizations, probation offices, as well as self-referrals. Shelter A focused on providing on site comprehensive care, while shelter B prioritized connection to off-site, community based health services. Both programs served men on-site, transitioning to other programs and services upon housing placement. Potential study participants were referred to a research assistant by shelter staff between November 2008 and November 2010. Research personnel explained the study in detail, and obtained written informed consent. The study protocol was approved by the Research Ethics Boards at the Centre for Addiction and Mental Health and St. Michael’s Hospital.
Individuals were eligible for inclusion in the study if they: (1) were homeless and 18 years of age or over; (2) met criteria for one or more of the following mental disorders: schizophrenia or related psychotic disorder, bipolar affective disorder, major depressive disorder, an anxiety or substance use disorder. Participants were asked to identify their diagnoses, given by the consulting psychiatrists; (3) did not have psychiatric follow up in the community. Exclusion criteria were: (1) having a mood or psychotic disorder secondary to a general medical condition; and (2) being a danger to themselves or others.
Data collection process
Study participants were interviewed at baseline, 6 and 12 months and received a $20 honorarium for each interview completed. Study participants were encouraged to contact research staff monthly with updated contact information and received $5 for each month they checked-in. The 12 month outcomes were considered the primary outcomes.
Community functioning was assessed using the self-rated version of the Multnomah Community Ability Scale (MCAS). The MCAS is a standardized 17-item measure of functioning of individuals with mental illness living in the community [54, 55].
Self-reported data on residential status and residential stability (e.g., number of days spent on the streets or in shelters in the past 6 months, lifetime duration of homelessness, number of moves in the past 12 months) was collected using modified residential logs from the Community Mental Health Evaluation Initiative (CMHEI) [56, 57]. We derived a composite outcome variable that represented the total number of days in shelter or streets in the past 6 months for the residential stability model described below. Number of days in shelter or streets was assessed only at baseline as categories of < 30 days, 31–90 days and > 90 days over the past 12 months but was not used in the residential stability model because proportion of lifetime homelessness was already included.
Psychiatric symptom severity was assessed by trained interviewers using the Brief Psychiatric Rating Scale (BPRS) [58–60], a widely used outcome measure in psychiatry  with good inter-rater reliability [59, 62]. The BPRS consists of 24 psychiatric symptom constructs rated in a 7-point scale.
Alcohol and substance use was assessed using the Addiction Severity Index (ASI), a structured interview instrument that yields information about the severity of lifetime and (previous 30 days) drug and alcohol use .
Self-reported data on health care utilization, including hospitalizations in the past 6 months, emergency department (ED) visits in the past 6 months, and community physician visits in the previous 30 days were collected using a series of service use logs developed by the CMHEI.
We estimated that sample sizes of 64 participants per group would achieve 80 % power to detect a 4.5 point difference in MCAS change from baseline to 12 months between the IMCC and SOCC groups with common standard deviation of change equal to 9.00 in both groups , with significance level of 0.05 [65, 66], and using a two-sided two-sample t-test. A half standard deviation is thought to represent a moderate effect size, in line with previous research [57, 67].
We used chi-square or Fisher’s exact tests to compare baseline characteristics of participants at the two program sites with respect to categorical variables. We examined the normality assumption of the residuals after regressing continuous variables on program site indicator, and then performed the t-test or the non-parametric Wilcoxon rank-sum test, as appropriate. Logistic regression was used to examine factors related to completing at least one follow-up study visit. The following covariates were included in this logistic regression model as they had been identified through univariate analyses to be associated with the outcome variable: English as the first language learned, education (those who had less than high school education), imputed baseline BPRS scores, and baseline self-reported diagnosis of schizophrenia. The following covariates were also included in the model although they were not significantly associated with the outcome variable: a baseline self-reported diagnosis of substance related disorder and at least one ED visit at baseline. To avoid deletion of important confounders from multivariate analyses , all the variables of interest that attained a significance level of 0.25 in univariate analyses were considered for inclusion in the final model [69, 70]. At baseline, six participants were missing 1 or 2 items on the BPRS. When calculating the BPRS score, we imputed values for missing items as the average of the available items when the total number of missing items was 2 or less, and then summed the items.
Linear mixed models were used to compare programs with respect to changes in community functioning (MCAS) scores over the study period. Twenty-two participants were missing MCAS data at baseline, and all but one participant was missing 4 or less items. When calculating the MCAS score, we imputed values for missing items as the participant average of the available items when the total number of missing items was 4 or less, and then summed the items. When greater than 4 items were missing, the data were not imputed. The average of the available items for the participant has been suggested as a “reasonable choice” when the scale reliability is at least 0.70 . For the current data, Chronbach’s alpha reliability was 0.70, 0.72 and 0.79 for baseline, 6 months and 12 months, respectively.
A negative binomial model with repeated measures, assuming exchangeable covariance structure was used to compare programs with respect to changes in residential stability over the study period because the variance was much larger than the mean.
We applied generalized estimating equations (GEEs) with the logit link to compare programs with respect to changes in the probabilities of hospitalizations (at least one hospitalization in the last 6 months), emergency department (ED) visits (at least one ED visit in the last 6 months), and community physician visits (at least one community physician visit in the last 30 days) over the study period. The choice of correlation structure was made using the quasi-likelihood under the independence model criterion (QIC).
For each outcome variable of interest, two regression models were calculated. In the first model we included program, time, and tested the interaction between program and time. Secondly, we added the following covariates to the multivariate model: baseline self-reported diagnosis of schizophrenia, baseline self-reported diagnosis of substance related disorder, Caucasian ethnicity, indicator of foreign-born, proportion of lifetime homeless at baseline (years homeless divided by age), imputed MCAS scores at baseline (except for the MCAS model as this was the outcome variable), and imputed BPRS score at baseline.
SAS 9.3 (SAS Institute Inc. Cary, NC, USA) and SPSS 20.0 were used for the statistical analyses and two-sided p-values < 0.05 were considered statistically significant.
Baseline demographic and clinical characteristics
IMCC (N = 70)
SOCC (N = 70)
Mean (S.D) or N (%)
Mean (S.D) or N (%)
Mean age (in years)
Single or never married
Less than high school education
English first language learned
English main language
Median (IQR)% of lifetime homeless
Median (IQR) # of moves in past 12 months
No. nights spent on streets or in shelters in past 12 months
≤ 30 days
> 90 days
Schizophrenia and Related Psychotic Disorders
Any Substance Use Problem
Addiction Severity Index
Drug use scale
Alcohol use scale
Brief Psychiatric Rating Scale
Multnomah Community Ability scale
The prevalence of mood disorders, schizophrenia or schizoaffective disorders, and substance-related disorders in the sample was 59 %, 49 %, and 15 % respectively.
No significant group differences were observed on the MCAS, drug use and alcohol use scales of the ASI, or the BPRS at baseline. IMCC participants were more likely to be single or never married, were homeless for a greater median percentage of their lifetime, and had a higher prevalence rate of schizophrenia and related psychotic disorders. The prevalence of mood disorders and anxiety disorders was higher among SOCC participants.
At 6 months, 58.6 % of IMCC and 71.4 % of SOCC participants were interviewed. Missing interviews at the 6-month visit resulted from participants declining (N = 19), not found (N = 21), incarcerated (N = 4), moved (N = 2), deceased (N = 2), or hospitalized (N = 1). At 12 months, 55.7 % of IMCC and 64.3 % of SOCC participants were interviewed. Missing 12-month interviews resulted from participants declining (N = 27), not being found (N = 20), incarcerated (N = 5), died (N = 2), or hospitalized (N = 2). There were no significant differences in the proportion of participants who completed at least one follow-up visit between the IMCC and SOCC programs (71.4 % vs. 78.6 %, χ2 = 0.952, df = 1, p = 0.33). The likelihood of completing at least one follow-up visit was higher among participants who learned English as their first language (Odds Ratio = 3.33; 95 % CI = 1.21–9.25) and lower among those who had a diagnosis of schizophrenia (Odds Ratio = 0.33, CI = 0.13–0.82).
Primary outcome: Community functioning scores over time
Statistical models for community functioning and no. days in shelters or streets
No. Days in Shelters or Streets Model
SOCC vs. IMCC
6 month visit vs. Baseline
12 month visit vs. Baseline
6 month visit vs. 12 month visit
Schizophrenia diagnosis at Baseline
ASI Alcohol Composite Score at Baseline
ASI Drug Composite Score at Baseline
BPRS at baseline
% Lifetime Homeless
MCAS at Baseline
Number of days in shelters or streets
Health services utilization
Health service use generalized estimating equation models
Any ED Visits in the Past 6 months
Any Overnight Hospital Visits in the Past 6 months
Any Community Physician Visits in the Past 30 days
Odds Ratio [Exp(β)]
95 % CI
Odds Ratio [Exp(β)]
95 % CI
Odds Ratio [Exp(β)]
95 % CI
SOCC vs. IMCC
6 M vs. Baseline
12 M vs. Baseline
Schizophrenia diagnosis at Baseline
ASI Alcohol Composite Score at Baseline
ASI Drug Composite Score at Baseline
BPRS at Baseline
% Lifetime Homeless
MCAS at Baseline
The primary goal of this study was to compare the outcomes of two shelter-based collaborative mental health care models for homeless men with mental illness. We observed improvements in the entire sample over time on measures of community functioning, housing stability, and health care utilization, suggesting that the provision of shelter-based models of care may improve outcomes in this population. There was no evidence that receiving less resource intensive SOCC compared to IMCC services was associated with significantly different outcomes over the study period in terms of residential stability or health service use.
Significant improvements in community functioning, as assessed by the MCAS, were observed in both IMCC and SOCC participant groups over the follow-up period. This finding is in line with research from a previous study that compared homeless and vulnerably housed individuals with mental illness who received intensive case management or standard community services . This study similarly found significant improvements in overall MCAS scores in both study groups . Our findings are broadly consistent with those of a randomized controlled trial that compared an IMCC (attached liaison) model to usual care , conducted in a sample of participants with heterogeneous mental health conditions. The IMCC model in that study consisted of access to a team of mental health professionals (community psychiatric nurses and psychologists) who had regular contact with the general practitioner, provided patient consultations, assessments, short-term psychological treatment, and assisted with referrals for patients who needed urgent care, in addition to a team of psychiatrists who met with the mental health professionals once a month and who met regularly with the general practitioners. Usual care involved referral of patients by the general practitioner to mental health services if needed. The authors found that quality of life improved over time, and there were no significant differences between the IMCC model and usual care .
With regards to housing, significant reductions in the mean number of days spent in shelters and streets were observed in both groups over the follow-up period. This finding is consistent with an earlier study by Stergiopoulos et al. that found that a substantial proportion of shelter residents at the IMCC site obtained housing within 6 months after referral to the program. Few studies have examined the effects of collaborative mental health interventions on housing outcomes outside of the case management and assertive community treatment literature.
Both the IMCC and SOCC programs appeared to reduce the likelihood of urgent and acute care visits and increase the likelihood of outpatient treatment engagement in the community after 12 months. These findings are consistent with prior work in this area. Bradford et al. observed significant improvements in the proportion of individuals who attended an initial follow-up appointment at a local community mental health centre following the introduction of a shelter-based intervention that provided intensive outreach of a personal support worker and weekly psychiatrist visits . Podymow et al. observed reductions in the total number of ED visits among individuals facing homelessness and alcohol dependence who were enrolled in a shelter-based managed alcohol program . Similarly, O’Toole et al. observed improvements in primary care use among veterans experiencing homelessness in a medical home clinical model . We identified several factors associated with improvement in the study sample. Our finding that a self-reported diagnosis of a psychotic disorder at baseline was associated with improved outcomes on the MCAS is not surprising given that the MCAS was developed to assess impairments in community functioning among individuals with serious mental illness, and may better capture changes in community functioning over time in this group . The likelihood of an ED visit was lower for participants with a self-reported diagnosis of schizophrenia. Although recent research has begun to examine predictors of frequent ED use [73–76], the association between certain psychiatric diagnoses (e.g., schizophrenia) and ED use among homeless populations remains to be determined. In this study, higher levels of psychiatric symptom severity at baseline were associated with poorer outcomes in community functioning over time. This finding is consistent with previous investigations that have shown an association between psychiatric symptom severity and deficits in community functioning among individuals with severe mental illness [77, 78].
In our study we did not observe any statistically significant differences in community functioning, residential stability, or health care utilization between the two models of care over time. Several factors may explain our findings. First, it is possible that the two models of care examined in this study are equally efficacious. Second, we had lower follow-up rates than expected, which may have limited the power to detect a difference over time between the two groups for each of the outcome measures. We have since implemented several approaches to improve follow-up rates with this population, including administering interviews in jails or hospitals with participants who are incarcerated or hospitalized, tracking participants through administrative databases and contact lists, and increased honoraria for monthly check ins and interviews, with excellent outcomes. Third, given the quasi-experimental design of the current study, the improvements observed over time in both IMCC and SOCC programs may reflect regression to the mean rather than true program effects. Future studies that incorporate random allocation of participants to comparison groups can help reduce the effects of regression to the mean . Nonetheless, our findings suggest that a less resource intensive model may be equally efficacious 12 months following program enrolment. Key ingredients underlying successful outcomes of collaborative mental health care models are not well understood, suggesting that a better understanding of mechanisms underlying model success is essential to guide further development and replication in diverse settings [35, 37]. Although a number of key components of effective collaborative mental health care have been identified in the literature, including organizational commitment, linkages across service levels, consistently delivered interventions, staff training and supervision, care coordination and clinical monitoring with agreed upon treatment protocols, it is not clear how many, or which of those components are necessary for program success [35, 37]. The SOCC model described in this study began with a shared commitment of shelter staff and the onsite psychiatrist to improve mental health care and outcomes for shelter residents with mental health conditions. Consistent with core ingredients of effective models identified in the literature , SOCC improved access to psychiatric care at the shelter setting, improved communication between shelter staff and mental health specialists, and offered an opportunity for regular review of treatment progress and clinical supervision of shelter based case management plans. The model lacked the comprehensiveness and continuity of primary care embedded models such as IMCC, but was less resource intensive and easier to implement.
This study has several limitations. First, self-report measures of community functioning and health service utilization were administered in the present study. There are limitations to the validity of self-reported survey findings, and future studies that utilize clinician-rated measures of community functioning, as well as administrative databases to obtain health service use data are needed. Second, we did not collect any data related to the number of contacts with IMCC or SOCC clinicians, and it is possible that participants received variable “doses” of the intervention.
Housing First and case management programs such as ICM and ACT have been shown to improve housing stability, mental health, and substance use outcomes in this population [20, 21, 23], however, the availability of these programs is limited in many jurisdictions [15, 80, 81]. Shelter-based collaborative care models avoid long waiting lists for primary and specialty services , and allow for timely access to coordinated, less intensive supports. These models may have an important role in the continuum of services available to people experiencing homelessness and mental illness. As models providing comprehensive health care for participants on-site may foster dependency of the shelter system, less intensive models focused on connecting to housing and community-based treatment and rehabilitation programs may be preferable.
Our findings suggest that homeless men with mental illness experience significant improvements in community functioning, housing, hospitalizations, ED visits, and community based physician visits in both shelter-based collaborative mental health care programs over time. The lack of observable differences between the programs over the study period on key outcomes suggests that less resource intensive shifted outpatient collaborative care models may offer an effective approach in many jurisdictions where the needs of homeless people with mental illness go largely unmet.
The study was funded by a Canadian Institutes of Health Research (CIHR) Partnerships for Health System Improvement grant to Drs. Stergiopoulos and Dewa, an Ontario Career Scientist Award for Dr. Stergiopoulos, and a CIHR/Public Health Agency of Canada Applied Public Health Chair to Dr. Dewa.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Trypuc B, Robinson J. Homeless in Canada: A Funder’s Primer in Understanding the Tragedy on Canada’s Streets. Charity Intelligence Canada: King City, ON; 2009.Google Scholar
- Segaert A. The National Shelter Study: Emergency Shelter Use in Canada 2005-2009. Ottawa. Canada: Homelessness Partnering Secretariat, Human Resources and Skills Development; 2012.Google Scholar
- Solari CD, Cortes A, Henry M, Matthews N, Morris S. The 2013 Annual Homeless Assessment Report (AHAR) to Congress: Part 2 Estimates of Homelessness in the United States. Washington DC: The U.S. Department of Housing and Urban Development Office of Community Planning and Development; 2014.Google Scholar
- City of Toronto Shelter Support and Housing Administration. 2009 Per Diem Rates for the Purchase of Service Shelter System and Results of the Review of the Per Diem Funding Model. Toronto, ON: City of Toronto; 2009.Google Scholar
- City of Toronto Shelter Support and Housing Administration. Street Needs Assessment Results 2009. Toronto, ON: City of Toronto; 2009.Google Scholar
- Fazel S, Khosla V, Doll H, Geddes J. The prevalence of mental disorders among the homeless in western countries: systematic review and meta-regression analysis. PLoS Med. 2008;5(12):e225.PubMedPubMed CentralView ArticleGoogle Scholar
- Fazel S, Geddes JR, Kushel M. The health of homeless people in high-income countries: descriptive epidemiology, health consequences, and clinical and policy recommendations. Lancet. 2014;384(9953):1529–40.PubMedPubMed CentralView ArticleGoogle Scholar
- Jones CA, Perera A, Chow M, Ho I, Nguyen J, Davachi S. Cardiovascular disease risk among the poor and homeless - what we know so far. Curr Cardiol Rev. 2009;5(1):69–77.PubMedPubMed CentralView ArticleGoogle Scholar
- Burra TA, Stergiopoulos V, Rourke SB. A systematic review of cognitive deficits in homeless adults: implications for service delivery. Can J Psychiatry. 2009;54(2):123–33.PubMedGoogle Scholar
- Stergiopoulos V, Cusi A, Bekele T, Skosireva A, Latimer E, Schutz C, et al. Neurocognitive impairment in a large sample of homeless adults with mental illness. Acta Psychiatr Scand. 2015;131(4):256–68.PubMedView ArticleGoogle Scholar
- Hwang SW. Homelessness and health. CMAJ. 2001;164(2):229–33.PubMedPubMed CentralGoogle Scholar
- Hwang SW, Wilkins R, Tjepkema M, O’Campo PJ, Dunn JR. Mortality among residents of shelters, rooming houses, and hotels in Canada: 11 year follow-up study. BMJ. 2009;339:b4036.PubMedPubMed CentralView ArticleGoogle Scholar
- Sullivan G, Burnam A, Koegel P, Hollenberg J. Quality of life of homeless persons with mental illness: results from the course-of-homelessness study. Psychiatr Serv. 2000;51(9):1135–41.PubMedView ArticleGoogle Scholar
- Argintaru N, Chambers C, Gogosis E, Farrell S, Palepu A, Klodawsky F, et al. A cross-sectional observational study of unmet health needs among homeless and vulnerably housed adults in three Canadian cities. BMC Public Health. 2013;13:577.PubMedPubMed CentralView ArticleGoogle Scholar
- Stergiopoulos V, Dewa C, Durbin J, Chau N, Svoboda T. Assessing the mental health service needs of the homeless: a level-of-care approach. J Health Care Poor Underserved. 2010;21(3):1031–45.PubMedView ArticleGoogle Scholar
- Folsom DP, Hawthorne W, Lindamer L, Gilmer T, Bailey A, Golshan S, et al. Prevalence and risk factors for homelessness and utilization of mental health services among 10,340 patients with serious mental illness in a large public mental health system. Am J Psychiatry. 2005;162(2):370–6.PubMedView ArticleGoogle Scholar
- Larimer ME, Malone DK, Garner MD, Atkins DC, Burlingham B, Lonczak HS, et al. Health care and public service use and costs before and after provision of housing for chronically homeless persons with severe alcohol problems. JAMA. 2009;301(13):1349–57.PubMedView ArticleGoogle Scholar
- Hwang SW, Chambers C, Chiu S, Katic M, Kiss A, Redelmeier DA, et al. A comprehensive assessment of health care utilization among homeless adults under a system of universal health insurance. Am J Public Health. 2013;103 Suppl 2:S294–301.PubMedPubMed CentralView ArticleGoogle Scholar
- Tsai J, Doran KM, Rosenheck RA. When health insurance is not a factor: national comparison of homeless and nonhomeless US veterans who use Veterans Affairs Emergency Departments. Am J Public Health. 2013;103 Suppl 2:S225–31.PubMedPubMed CentralView ArticleGoogle Scholar
- Coldwell CM, Bender WS. The effectiveness of assertive community treatment for homeless populations with severe mental illness: a meta-analysis. Am J Psychiatry. 2007;164(3):393–9.PubMedView ArticleGoogle Scholar
- de Vet R, van Luijtelaar MJ, Brilleslijper-Kater SN, Vanderplasschen W, Beijersbergen MD, Wolf JR. Effectiveness of case management for homeless persons: a systematic review. Am J Public Health. 2013;103(10):e13–26.PubMedPubMed CentralView ArticleGoogle Scholar
- Rosenblum A, Nuttbrock L, McQuistion H, Magura S, Joseph H. Medical outreach to homeless substance users in New York City: preliminary results. Subst Use Misuse. 2002;37(8-10):1269–73.PubMedView ArticleGoogle Scholar
- Tsemberis S, Gulcur L, Nakae M. Housing First, consumer choice, and harm reduction for homeless individuals with a dual diagnosis. Am J Public Health. 2004;94(4):651–6.PubMedPubMed CentralView ArticleGoogle Scholar
- Aubry T, Tsemberis S, Adair CE, Veldhuizen S, Streiner D, Latimer E, et al. One-Year Outcomes of a Randomized Controlled Trial of Housing First With ACT in Five Canadian Cities. Psychiatr Serv. 2015;66(5):463–9.PubMedView ArticleGoogle Scholar
- Stergiopoulos V, Hwang SW, Gozdzik A, Nisenbaum R, Latimer E, Rabouin D, et al. Effect of scattered-site housing using rent supplements and intensive case management on housing stability among homeless adults with mental illness: a randomized trial. Jama. 2015;313(9):905–15.PubMedView ArticleGoogle Scholar
- Golden A, Currie W, Greaves E, Latimer J. Report of the Mayor’s Homelessness Action Task Force: Taking Responsibility for Homelessness: An Action Plan for Toronto. City of Toronto: Toronto, ON; 1999.Google Scholar
- Bradford DW, Gaynes BN, Kim MM, Kaufman JS, Weinberger M. Can shelter-based interventions improve treatment engagement in homeless individuals with psychiatric and/or substance misuse disorders?: a randomized controlled trial. Med Care. 2005;43(8):763–8.PubMedView ArticleGoogle Scholar
- Cathexis Consulting Inc. Ottawa Inner City Health Project Cost Effectiveness Analysis. Toronto, ON: 2002.Google Scholar
- Podymow T, Turnbull J, Coyle D, Yetisir E, Wells G. Shelter-based managed alcohol administration to chronically homeless people addicted to alcohol. CMAJ. 2006;174(1):45–9.PubMedPubMed CentralView ArticleGoogle Scholar
- Craven MA, Bland R. Better practices in collaborative mental health care: an analysis of the evidence base. Can J Psychiatry. 2006;51(6 Suppl 1):7s–72s.PubMedGoogle Scholar
- Gilbody S, Bower P, Fletcher J, Richards D, Sutton AJ. Collaborative care for depression: a cumulative meta-analysis and review of longer-term outcomes. Arch Intern Med. 2006;166(21):2314–21.PubMedView ArticleGoogle Scholar
- Katon W, Unutzer J, Wells K, Jones L. Collaborative depression care: history, evolution and ways to enhance dissemination and sustainability. Gen Hosp Psychiatry. 2010;32(5):456–64.PubMedView ArticleGoogle Scholar
- Bauer MS, Biswas K, Kilbourne AM. Enhancing multiyear guideline concordance for bipolar disorder through collaborative care. Am J Psychiatry. 2009;166(11):1244–50.PubMedView ArticleGoogle Scholar
- Druss BG, Rohrbaugh RM, Levinson CM, Rosenheck RA. Integrated medical care for patients with serious psychiatric illness: a randomized trial. Arch Gen Psychiatry. 2001;58(9):861–8.PubMedView ArticleGoogle Scholar
- Kelly BJ, Perkins DA, Fuller JD, Parker SM. Shared care in mental illness: A rapid review to inform implementation. Int J Ment Health Syst. 2011;5:31.PubMedPubMed CentralView ArticleGoogle Scholar
- van Orden M, Hoffman T, Haffmans J, Spinhoven P, Hoencamp E. Collaborative mental health care versus care as usual in a primary care setting: a randomized controlled trial. Psychiatr Serv. 2009;60(1):74–9.PubMedView ArticleGoogle Scholar
- Woltmann E, Grogan-Kaylor A, Perron B, Georges H, Kilbourne AM, Bauer MS. Comparative effectiveness of collaborative chronic care models for mental health conditions across primary, specialty, and behavioral health care settings: systematic review and meta-analysis. Am J Psychiatry. 2012;169(8):790–804.PubMedView ArticleGoogle Scholar
- Archer J, Bower P, Gilbody S, Lovell K, Richards D, Gask L, et al. Collaborative care for depression and anxiety problems. Cochrane Database Syst Rev. 2012;10:Cd006525.PubMedGoogle Scholar
- Boydell K, Volpe T. The Shared Care Clinical Outreach Service: a Descriptive Study. Toronto, ON: Centre for Addiction and Mental Health; 2001.Google Scholar
- Stergiopoulos V, Dewa CS, Rouleau K, Yoder S, Chau N. Collaborative mental health care for the homeless: the role of psychiatry in positive housing and mental health outcomes. Can J Psychiatry. 2008;53(1):61–7.PubMedGoogle Scholar
- Browning S, Ford M, Goddard C, Brown A. A psychiatric clinic in general practice-a description and comparison with an outpatient clinic. Psychiatr Bull R Coll Psychiatr. 1987;11:114–7.View ArticleGoogle Scholar
- Craven MA, Bland R. Shared mental health care: a bibliography and overview. Can J Psychiatry. 2002;47(2 Suppl 1):iS-viiiS–1S-103S.PubMedGoogle Scholar
- Creed F, Marks B. Liaison psychiatry in general practice: a comparison of the liaison-attachment scheme and shifted outpatient clinic models. J R Coll Gen Pract. 1989;39(329):514–7.PubMedPubMed CentralGoogle Scholar
- Mitchell AR. Psychiatrists in primary health care settings. Br J Psychiatry. 1985;147:371–9.PubMedView ArticleGoogle Scholar
- Biderman A, Yeheskel A, Tandeter H, Umansky R. Advantages of the psychiatric liaison-attachment scheme in a family medicine clinic. Isr J Psychiatry Relat Sci. 1999;36(2):115–21.PubMedGoogle Scholar
- Jackson G, Gater R, Goldberg D, Tantam D, Loftus L, Taylor H. A new community mental health team based in primary care. A description of the service and its effect on service use in the first year. Br J Psychiatry. 1993;162:375–84.PubMedView ArticleGoogle Scholar
- Kates N, McPherson-Doe C, George L. Integrating mental health services within primary care settings: the Hamilton Family Health Team. J Ambul Care Manage. 2011;34(2):174–82.PubMedView ArticleGoogle Scholar
- Hansen V. Psychiatric service within primary care. Mode of organization and influence on admission-rates to a mental hospital. Acta Psychiatr Scand. 1987;76(2):121–8.PubMedView ArticleGoogle Scholar
- Tyrer P, Ferguson B, Wadsworth J. Liaison psychiatry in general practice: the comprehensive collaborative model. Acta Psychiatr Scand. 1990;81(4):359–63.PubMedView ArticleGoogle Scholar
- Kates N, Craven MA, Crustolo AM, Nikolaou L, Allen C, Farrar S. Sharing care: the psychiatrist in the family physician’s office. Can J Psychiatry. 1997;42(9):960–5.PubMedGoogle Scholar
- Warner RW, Gater R, Jackson MG, Goldberg DP. Effects of a community mental health service on the practice and attitudes of general practitioners. Br J Gen Pract. 1993;43(377):507–11.PubMedPubMed CentralGoogle Scholar
- Goldberg D, Jackson G, Gater R, Campbell M, Jennett N. The treatment of common mental disorders by a community team based in primary care: a cost-effectiveness study. Psychol Med. 1996;26(3):487–92.PubMedView ArticleGoogle Scholar
- Murray S. Evaluation of shifted out-patient clinics, psychiatry. Audit Trends. 1998;6:64–7.Google Scholar
- Barker S, Barron N, McFarland BH, Bigelow DA. A community ability scale for chronically mentally ill consumers: Part I. Reliability and validity. Community Ment Health J. 1994;30(4):363–83.PubMedView ArticleGoogle Scholar
- Barker S, Barron N, McFarland BH, Bigelow DA, Carnahan T. A community ability scale for chronically mentally ill consumers: Part II. Applications Community Ment Health J. 1994;30(5):459–72.PubMedView ArticleGoogle Scholar
- Dewa CS, Durbin J, Wasylenki D, Ochocka J, Eastabrook S, Boydell KM, et al. Considering a multisite study? How to take the leap and have a soft landing. J Community Psychol. 2002;30(2):173–87.View ArticleGoogle Scholar
- Goering P. Making a difference: Ontario’s Community Mental Health Evaluation Initiative. Final report of the CMHEI Project. 2004. Retrieved from: http://ontario.cmha.ca/files/2012/07/Making_a_Difference_CMHEI_Final_Project.pdf
- Overall JE, Gorham DR. The Brief Psychiatric Rating Scale. Psychol Rep. 1962;10:799–812.View ArticleGoogle Scholar
- Ventura J, Green M, Shaner A, Liberman RP. Training and quality assurance on the BPRS: ‘The Drift Busters’. Int J Methods Psychiatr Res. 1993;3(4):221–44.Google Scholar
- Ventura J, Lukoff D, Nuechterlein KH, Liberman RP, Green M, Shaner A. Appendix 1: Brief Psychiatric Rating Scale BPRS Expanded Version 4.0 scales, anchor points and administration manual. Int J Methods Psychiatr Res. 1993;3:227–43.Google Scholar
- Hedlund JL, Vieweg BW. The Brief Psychiatric Rating Scale (BPRS): a comprehensive review. J Oper Psychiatry. 1980;11:48–65.Google Scholar
- Roncone R, Ventura J, Impallomeni M, Falloon IR, Morosini PL, Chiaravalle E, et al. Reliability of an Italian standardized and expanded Brief Psychiatric Rating Scale (BPRS 4.0) in raters with high vs. low clinical experience. Acta Psychiatr Scand. 1999;100(3):229–36.PubMedView ArticleGoogle Scholar
- McLellan AT, Luborsky L, Woody GE, O'Brien CP. An improved diagnostic evaluation instrument for substance abuse patients. The Addiction Severity Index. J Nerv Ment Dis. 1980;168(1):26–33.PubMedView ArticleGoogle Scholar
- Durbin J, Dewa C, Aubry T, Krupa T, Rourke S, Foo E. The use of Multnomah Community Ability Scale as a program evaluation tool. Can J Program Eval. 2004;19(3):135–57.Google Scholar
- Clark C, Rich AR. Outcomes of homeless adults with mental illness in a housing program and in case management only. Psychiatr Serv. 2003;54(1):78–83.PubMedView ArticleGoogle Scholar
- Shern DL, Tsemberis S, Anthony W, Lovell AM, Richmond L, Felton CJ, et al. Serving street-dwelling individuals with psychiatric disabilities: outcomes of a psychiatric rehabilitation clinical trial. Am J Public Health. 2000;90(12):1873–8.PubMedPubMed CentralView ArticleGoogle Scholar
- Goering PN, Streiner DL, Adair C, Aubry T, Barker J, Distasio J, et al. The At Home/Chez Soi trial protocol: a pragmatic, multi-site, randomised controlled trial of a Housing First intervention for homeless individuals with mental illness in five Canadian cities. BMJ Open. 2011;1(2):e000323.PubMedPubMed CentralView ArticleGoogle Scholar
- Greenland S. Invited commentary: variable selection versus shrinkage in the control of multiple confounders. Am J Epidemiol. 2008;167(5):523–9. discussion 30-1.PubMedView ArticleGoogle Scholar
- Dales LG, Ury HK. An improper use of statistical significance testing in studying covariables. Int J Epidemiol. 1978;7(4):373–5.PubMedView ArticleGoogle Scholar
- Mickey RM, Greenland S. The impact of confounder selection criteria on effect estimation. Am J Epidemiol. 1989;129(1):125–37.PubMedGoogle Scholar
- Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychol Methods. 2002;7(2):147–77.PubMedView ArticleGoogle Scholar
- O’Toole TP, Pirraglia PA, Dosa D, Bourgault C, Redihan S, O’Toole MB, et al. Building care systems to improve access for high-risk and vulnerable veteran populations. J Gen Intern Med. 2011;26 Suppl 2:683–8.PubMedPubMed CentralView ArticleGoogle Scholar
- Chambers C, Chiu S, Katic M, Kiss A, Redelmeier DA, Levinson W, et al. High utilizers of emergency health services in a population-based cohort of homeless adults. Am J Public Health. 2013;103 Suppl 2:S302–10.Google Scholar
- Ku BS, Scott KC, Kertesz SG, Pitts SR. Factors associated with use of urban emergency departments by the U.S. homeless population. Public Health Rep. 2010;125(3):398–405.PubMedPubMed CentralGoogle Scholar
- Kushel MB, Perry S, Bangsberg D, Clark R, Moss AR. Emergency department use among the homeless and marginally housed: results from a community-based study. Am J Public Health. 2002;92(5):778–84.PubMedPubMed CentralView ArticleGoogle Scholar
- Pearson DA, Bruggman AR, Haukoos JS. Out-of-hospital and emergency department utilization by adult homeless patients. Ann Emerg Med. 2007;50(6):646–52.PubMedView ArticleGoogle Scholar
- Brown ES, Rush AJ, Biggs MM, Shores-Wilson K, Carmody TJ, Suppes T. Clinician ratings vs. global ratings of symptom severity: a comparison of symptom measures in the bipolar disorder module, phase II, Texas Medication Algorithm Project. Psychiatry Res. 2003;117(2):167–75.PubMedView ArticleGoogle Scholar
- Dickerson F, Boronow JJ, Ringel N, Parente F. Social functioning and neurocognitive deficits in outpatients with schizophrenia: a 2-year follow-up. Schizophr Res. 1999;37(1):13–20.PubMedView ArticleGoogle Scholar
- Barnett AG, van der Pols JC, Dobson AJ. Regression to the mean: what it is and how to deal with it. Int J Epidemiol. 2005;34(1):215–20.PubMedView ArticleGoogle Scholar
- Kushel MB, Gupta R, Gee L, Haas JS. Housing instability and food insecurity as barriers to health care among low-income Americans. J Gen Intern Med. 2006;21(1):71–7.PubMedPubMed CentralView ArticleGoogle Scholar
- Kushel MB, Vittinghoff E, Haas JS. Factors associated with the health care utilization of homeless persons. JAMA. 2001;285(2):200–6.PubMedView ArticleGoogle Scholar