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. Author manuscript; available in PMC: 2013 Dec 1.
Published in final edited form as: Curr HIV/AIDS Rep. 2012 Dec;9(4):364–374. doi: 10.1007/s11904-012-0137-5

Housing Status and the Health of People Living with HIV/AIDS

M-J Milloy 1,2, Brandon DL Marshall 3, Julio Montaner 1,4, Evan Wood 1,4
PMCID: PMC3693560  NIHMSID: NIHMS407340  PMID: 22968432

Abstract

Individuals who are homeless or living in marginal conditions have an elevated burden of infection with HIV. Existing research suggests the HIV/AIDS pandemic in resource-rich settings is increasingly concentrated among members of vulnerable and marginalized populations, including homeless/marginally-housed individuals, who have yet to benefit fully from recent advances in highly-active antiretroviral therapy (HAART). We reviewed the scientific evidence investigating the relationships between inferior housing and the health status, HAART access and adherence and HIV treatment outcomes of people living with HIV/AIDS (PLWHA.) Studies indicate being homeless/marginally-housed is common among PLWHA and associated with poorer levels of HAART access and sub-optimal treatment outcomes. Among homeless/marginally-housed PLWHA, determinants of poorer HAART access/adherence or treatment outcomes include depression, illicit drug use and medication insurance status. Future research should consider possible social- and structural-level determinants of HAART access and HV treatment outcomes that have been shown to increase vulnerability to HIV infection among homeless/marginally-housed individuals. As evidence indicates homeless/marginally-housed PLWHA with adequate levels of adherence can benefit from HAART at similar rates to housed PLWHA, and given the individual and community benefits of expanding HAART use, interventions to identify HIV-seropositive homeless/marginally-housed individuals and engage them in HIV care including comprehensive support for HAART adherence are urgently needed.

Keywords: HIV/AIDS, antiretroviral therapy, homelessness, People Living with HIV/AIDS (PLWHA), adherence, CD4+, plasma, HIV-1, RNA, viral load, highly-active antiretroviral therapy (HAART), behavior aspects of HIV/AIDS

INTRODUCTION

Individuals who are homeless, living in marginal conditions or lacking permanent access to safe, secure and private personal space suffer from a substantial burden of mental illness, physical disease and disability (1,2). Studies of homeless individuals, typically from urban settings in North America, have identified elevated levels of morbidity and mortality resulting from proximate conditions and exposures including psychosis, schizophrenia, depression and other affective disorders (1,3); cutaneous, respiratory and blood-borne infections (47); use of tobacco, alcohol and illicit drugs, often by injection (3,8,9); and abuse, accidents and violence (10,11). Although suffering from high rates of chronic and acute disease, homeless individuals have inferior contact with the healthcare system (12), and typically experience low rates of preventative and ambulatory care, while accounting for high levels of urgent care (13,14). In the United States, the most recent government estimates suggest 1 in 200 individuals, approximately 650,000 individuals, were sheltered or unsheltered homeless at any time in 2009 (15).

Strongly linked to poorer health status, homelessness has long been recognized as an important contributor of vulnerability to HIV infection (6,1618). Seroprevalence of HIV in homeless/marginally-housed populations is estimated to range from 10 to 20%, or typically five to ten times higher than among housed populations (18). Although both sexual- and injection-related risk have been reported in studies among homeless/marginally-housed individuals, elevated HIV seroprevalence is driven by exposures less experienced by housed individuals, including engagement in the survival sex trade, incarceration, and poor access to health and HIV preventive services (1922). Among individuals who use illicit drugs, being homeless/marginally-housed has been identified as independently associated with a shorter time to HIV seroconversion (17).

Although advances in the development and distribution of highly-active antiretroviral therapy (HAART) for HIV infection have resulted in substantial declines in HIV/AIDS-related morbidity and mortality in most regions of the globe (23,24), not all seropositive groups have benefitted equally from HIV treatment. There is a persistent and growing gap in HIV treatment outcomes even in well-resourced areas with access to antiretroviral medications (25). In many of these settings, the HIV/AIDS epidemic is increasingly entrenched among individuals belonging to interrelated marginalized communities including but not limited to illicit drug users, ethnic and racial minorities, sex trade workers, prisoners and the urban indigent (26). In light of the extreme HIV-related health inequalities experienced by homeless/marginally-housed individuals (6,27), this narrative review aims to synthesize the evidence, primarily from a North American context, examining the relationships between housing status and the health, HAART adherence patterns and HIV treatment outcomes of people living with HIV/AIDS (PLWHA.)

SEARCH STRATEGY AND SELECTION CRITERIA

For this review, we identified and reviewed published studies from the indices of major academic databases (MEDLINE [via Pubmed], Science Citation Index [via Web of Science], Cochrane CENTRAL and Google Scholar) with no language or date specified in the search criteria. Key words used included HIV, AIDS, homeless, unstably housed, HAART; additional strategies were identified by examining citation lists from relevant articles.

HOUSING STATUS AMONG PLWHA AND RECEIPT OF HIV CARE

A substantial proportion of participants in many studies of PLWHA report outright homelessness or routinely living in marginal residential situations, including shelters and single-room occupancy (SRO) hotel rooms (12,28). In a representative sample of PLWHA in New York City, 33% were homeless/marginally-housed with 18% in unstable, temporary or transitional housing at the baseline interview and 15% homeless, defined as sleeping in the street, in a shelter, jail or halfway house (12). Further, 70% of participants reported some sort of housing need during the study, including being homeless or marginally housed, unable to pay rent, facing eviction or living in a situation marked by physical danger or violence (12). In a large behavioral surveillance survey of over 7,900 PLWHA from 19 sites in the United States, 4% were living on the streets or in a shelter at the time of interview (28), a prevalence likely underestimated given the large number of eligible individuals unable to be contacted for recruitment.

Poorer housing status is linked to worse health status in a wealth of studies involving PLWHA (12,2936). In a multi-site study in the United States, a significantly larger proportion of homeless individuals had CD4+ cell counts below 200 cells/mL (43% vs. 32%, p-value < 0.001) and detectable plasma HIV-1 RNA viral loads (PVL) (65% v 51%, p-value < 0.001) compared to non-homeless participants (32). This is in line with other studies that have found higher levels of unsuppressed PVL among homeless individuals (33,35,37). In a recent study among over 11,000 PLWHA individuals enrolled in a publicly-funded HIV care programme in Los Angeles County, 13% reported non-permanent housing or homelessness (35). In crude analyses, these individuals had a significantly elevated likelihood of unsuppressed PVL (Odds Ratio [OR] = 1.72, p-value < 0.001), however this association was rendered non-significant in a multivariate model adjusted for other factors including illicit drug use, income and incarceration. In addition to morbidity, homelessness has also been linked to higher rates of mortality among PLWHA (36,3840). For example, in a case-control analysis of 129 deceased patients and 240 randomly selected patients at a public health HIV clinic in Florida, homeless individuals had almost ten times higher odds of death compared to those who were stably housed (Adjusted Odds Ratio [AOR] = 9.98, p-value < 0.01) (40).

Although some specific findings have differed (41,42), studies of healthcare access and utilization among PLWHA (30,43,44) have generally found that poorer housing status is correlated with not receiving optimal HIV care (12). In a representative sample of 1661 PLWHA in New York City, housing need was independently associated with lower likelihoods of receipt of appropriate HIV medical care and entry into any medical care (12). At the same time, individuals who received assistance with housing needs had significantly higher odds of receipt of any medical care for HIV, receipt of appropriate HIV medical care, entry into any medical care and entry into appropriate HIV care in separate multivariate models (12). Similarly, in a study of 333 PLWHA in Los Angeles county, the strongest factor independently associated with having any unmet needs was homelessness in the previous twelve months (AOR = 2.3, 95% Confidence Interval [CI]: 1.1 – 6.1) (45). In addition, studies of risk factors associated with seroconversion among homeless/marginally-housed individuals suggest that there are a number of barriers to identifying newly-infected individuals and engaging and retaining them in care, including high-intensity drug use, recent release from the correctional system and participation in the sex trade (17,46). Homelessness has also been linked to lower levels of exposure to ART (28,31,47) and poorer adherence patterns among persons who do initiate therapy (30,33,48). For example, a recent study conducted among 743 HIV-positive prisoners at ten sites in the United States (30) found that individuals homeless prior to arrest were less likely to have an HIV care provider or be exposed to ART compared to non-homeless prisoners. Among those ART-exposed, homeless persons were less likely to be optimally adherent in the seven days prior to incarceration (30).

Among HIV-seropositive individuals who use illicit drugs, recent studies have highlighted the important role of housing on uptake and adherence to HAART (31,33,34,47). In a recent study among 807 active injection drug users (IDU) in a multi-site study in the United States assessing the individual, social and structural factors associated with HAART uptake, stable housing was associated with being on HAART after adjustment for education, age, illicit drug use, disease progression, health care insurance and engagement in HIV primary care (47). Similarly, homelessness was an independent barrier to being on HAART in a study of 350 hospitalized crack cocaine-using individuals in Miami and Atlanta (31). Homelessness was also identified as a barrier to effective HIV treatment among 247 illicit drug users beginning HAART in British Columbia, Canada, a setting with universal access to HIV care including medications (33). In a multivariate survival model, homelessness was independently associated with lower rates of PVL suppression following ART initiation (AHR = 0.60, p-value = 0.003) (33), although this relationship was mediated by lower adherence to ART. In another study from the same observational cohort, homelessness was independently associated with lower levels of ART adherence in a model adjusted for heroin use, engagement in methadone maintenance therapy, and disease progression (34).

DETERMINANTS OF HIV-RELATED HEALTH AMONG HOMELESS/MARGINALLY-HOUSED PLWHA

Despite the substantial levels of HIV/AIDS-related morbidity and mortality among homeless/marginally-housed PLWHA (35,49), there has been limited inquiry into the determinants of sub-optimal HIV treatment outcomes among this population. Table 1 presents a summary of relevant studies of health status, ART adherence and HIV treatment outcomes among homeless/marginally-housed PLWHA; Table 2 presents summaries of studies evaluating interventions aimed at improving the health of homeless/marginally-housed PLWHA; Table 3 contains a summary of barriers and facilitators of ART adherence.

TABLE 1.

Factors associated with health status, HIV treatment outcomes or ART adherence among homeless/marginally-housed PLWHA

HEALTH STATUS
Study Setting Sample Analysis Outcome Significant associations
Riley et al., 2003 (57) San Francisco, California, USA. July 1996 to December 1997 and January 1999 to May 2000 330 respondents (83% male, 43% African-American) in representative sample of homeless and marginally housed individuals (HMH) Multivariate linear regression of cross-sectional survey data Score on SF-36, a self-reported generic measure of health status, ranging from 0 to 100. Mean physical health composite score = 44; mental health composite score = 43 Independent negative associations between depression, injection drug use and female gender in multiple areas of physical and mental health status
Weiser et al., 2006 (56) San Francisco, California, USA. June 1999 to October 2000 239 HMH respondents (43% Caucasian, mean age 41.6 years, > 75% history of illicit drug use, 74% history of incarceration Multivariate logistic regression of cross-sectional survey data Beck Depression Inventory score > 13, indicating mild-to- moderate or severe depression. 101 (42%) mild-to-moderate, 33 (14%) severe Caucasian race (Adjusted Odds Ratio [AOR] = 2.22); having a representative payee (OR 2.37); missed medical appointments within 90 days (AOR 2.57); heavy alcohol consumption (> 14 drinks/week) (AOR 4.70)
Tsui et al., 2007 (79) San Francisco, California, USA. Study period not reported 216 HMH respondents (17% female, median age 41.) Hepatitis C virus (HCV) seropositivity detected by enzyme immunoassay: 142 (66%) HCV- seropositive; 120 (84%) with detectable virus. Multivariate linear regression of cross-sectional survey data Score on SF-36 HCV seropositivity associated with lower Physical Component Score (p < 0.01) but not Mental Component Score (β = −2.07, p = 0.24)
Hansen et al., 2011 (80) San Francisco, California, USA. September 2007 to June 2008 270 HMH respondents (64% male, 42% African American) reporting pain or analgesic use in the past 7d Contingency tables Score on Brief Pain Inventory. Moderate to Severe Pain (248, 92%) More likely to be female (30% v 5%, p = 0.01); prescribed opioid analgesic past 90d (96% v 4%, p < 0.01); chronic pain lasting at least six months (92% v 72%, p < 0.01); moderate/severe depression (98% v 2%, p < 0.01)
HEALTH STATUS
Study Setting Sample Analysis Outcome Significant associations
Riley et al., 2011 (81) San Francisco, California, USA. July 2002 to September 2008. 129 HMH female respondents (median age 44, 52% African- American, 33% crack cocaine use) Marginal structural models with targeted variable importance (tVIM) of longitudinal survey data Scores on mental and physical components of SF-36. Median physical score = 43/100; median mental score = 46/100 Mental health: Unmet subsistence needs (β =−5.4); ≥90% ART adherence (β = 5.1); has close friend (β = 3.2)
Physical health: Crack use (β = −3.6); any drug use (β = −3.1); unmet subsistence (β = −2.9)
Riley et al., 2012 (59) San Francisco, California, USA. July 2002 to September 2008 288 HMH male respondents (< 40% high school graduates, 23% recent crack cocaine use) Marginal structural models tVIM of longitudinal survey data Scores on mental and physical components of SF-36. Median physical score = 43/100; median mental score = 46/100 Mental health: Unmet subsistence needs (β =−3.5); has a close friend (β = 3.2)
Physical health: Unmet subsistence (β = −3.8)
HIV TREATMENT OUTCOMES
Study Setting Sample Analysis Outcome Significant associations
Riley et al., 2005 (78) San Francisco, California, USA. July 1996 to May 2002 330 HMH respondents (43% Caucasian, 16% female) in representative sample of homeless and marginally housed. Median CD4+ cell count at baseline = 349 cells/μL; 85% on ART during study Survival analysis using longitudinal survey data Time to death, all- cause. 57 deaths/330 participants (5.29 per 100 person-years [PY]) Causes of death: AIDS (63%); overdose (17%); cardiac complications (17%); liver disease (11%) Uninsured (Adjusted Hazard Ratio [AHR] = 0.35); baseline CD4+ cell count (AHR 0.80); ART last six months vs. no treatment (AHR 0.38)
Weiser et al., 2009 (49) San Francisco, California, USA. 2006 104 HMH respondents (33% Caucasian, mean age 46.5) on ART and unannounced pill count adherence monitoring. 49% food insecure Multivariate logistic regression of cross-sectional survey data Plasma HIV-1 RNA viral load (PVL) suppression (< 50 copies/mL) 56% Severely food insecure (AOR 0.23); months on HAART (AOR 1.08 per 3 months); nadir CD4+ cells (AOR 1.27 per 50 cells); ART adherence > 80% (OR 5.94)
HIV TREATMENT OUTCOMES
Study Setting Sample Analysis Outcome Significant associations
Tsai et al., 2010 (61) San Francisco, California, USA. April 2002 to August 2007 158 HMH respondents (71% female.) 58% on ART at baseline, 75% received an antidepressant medication (84% serotonin selective reuptake inhibitor [SSRI]) Marginal structural model of longitudinal survey data PVL suppression (< 50 copies/mL) Receiving antidepressant medication (OR 1.55, AOR 1.58, weighted OR 2.03)
ADHERENCE TO ART
Study Setting Sample Analysis ART adherence Significant associations
Bangsberg et al., 2000 (51) San Francisco, California, USA. January 1998 to July 1998 34 HMH participants (85% male, median age 42 years, 18% IDU) on protease inhibitor (PI)-based HAART Unadjusted tests of difference Last three days self- report (median adherence = 89%); unannounced pill count (median adherence = 73%); electronic medication monitoring cap (67%) Adherence associated with concurrent PVL (p < 0.001)
Moss et al., 2004 (52) San Francisco, California, USA. April 1996 to December 1997 and April 1999 to April 2000 148 HMH participants (85% male, 38% African-American) on ART and unannounced pill count adherence monitoring Proportional hazards survival modeling (time to discontinuation); multivariate linear random effects modeling of months receiving therapy (mean adherence) Time to ART discontinuation (46, 31%); mean adherence to treatment (67%) Discontinuation: ≤50% adherence in first three months (AHR 6.1); ever hospitalized for mental health (AHR 2.1); current IDU (AHR 2.1) Adherence: Mental health inpatient history (83 v 71%, p = 0.02); baseline crack cocaine (64 v 77%, p = 0.01)
Kushel et al., 2006 (82) San Francisco, California, USA. April 1996 to December 1997, April 1999 to April 2000 219 HMH respondents on ART with CD4+ nadir < 350 cells/mL Multivariate linear regression od cross-sectional survey data Adherence as measured by client self-report Case management (moderate v rare/none [Adjusted β = 0.13])
ADHERENCE TO ART
Study Setting Sample Analysis ART adherence Significant associations
Das-Douglas et al., 2009 (54) San Francisco, California, USA. 125 HMH participants (70% male, 40% African-American) on ART with pharmaceutical coverage (35% Medicare Part D) Multivariate logistic regression analysis of cross-sectional survey data ART interruptions, self- report (11%) Medicare Part D pharmaceutical coverage (AOR 7.50); Beck depression inventory score (AOR 1.08 per point)
Friedman et al., 2009 (53) Baltimore, Maryland; Los Angeles, California; Chicago, Illinois, USA 602 homeless/at-risk of homeless participants (79% African American, 31% female, 45% CD4+ = 200 – 499 cells Multivariate logistic regression analysis of cross-sectional survey data ≥ 1 missed dose in previous 2 days, self report Any illicit drug (82 v 73%, p < 0.05); alcohol (87 v 70%, p < 0.01)
Bangsberg et al., 2010 (60) San Francisco, California, USA. 118 respondents (73% male, 63% ever injection drug user [IDU]) on HAART and unannounced pill count adherence monitoring. 40% on single-tablet regimen (STR) Multivariate generalized estimating equation analysis of cross sectional survey data Proportion of doses taken calculated from unannounced pill counts. Mean adherence to STR = 86%; mean adherence to non-STR = 73% (p = 0.001) Treatment (STR v non- STR, z = 2.75, p = 0.006); nadir CD4+ (per cell/ml, z = 3.34, p = 0.001)
Parashar et al., 2011 (64) British Columbia, Canada. July 2007 to January 2010 212 unstably housed PLWHA (68% male, 44% current IDU) on HAART in a HIV treatment registry Multivariate logistic regression of factors associated with ≥ 95% adherence Pharmacy refill data Older age (AOR = 1.07 per year); incarcerated (AOR = 0.20); current illicit drug use (AOR = 0.40); enrolled in MAT programme (AOR = 4.76)
Riley et al., 2011 (81) San Francisco, California, USA. July 2002 to September 2006 330 HMH participants (19% female, 54% used crack cocaine, 28% employed) Marginal structural model of longitudinal survey data Exposure to ART in past three months, self-report Continuously insured, 12 mos v uninsured (AOR 3.34)

TABLE 2.

Interventions to improve the health of homeless/marginally-housed PLWHA

Study Setting Sample Design Intervention Findings
Bansberg et al., 2010 (60) San Francisco, California, USA 118 HMH participants (61% non-white, 73% men, 63% lifetime injection drug use) drawn from REACH cohort Observational study of adherence among participants on single tablet HAART regimen versus historical controls Single tablet HAART regimen (STR) containing efavirenz, emtricibine and tenofovir disoproxil fumarate Higher levels of adherence observed among STR participants compared to non-one-pill-daily participants after adjustment for confounders
Buchanan et al., 2009 (62) Chicago, Illinois, USA 105 HMH participants recruited from in-patient services Participants randomized to care-as-usual or intervention. Primary outcome was survival with CD4+ ≥ 200 and PVL < 100,000 Permanent housing including intensive case management 55% of participants in intervention arm vs. 34% in control arm reached outcome (p = 0.04.)
Cameron et al., 2009 (65) London, England, UK 27 HMH individuals recruited through social service agency Case study Housing referral with case management Twelve (44%) individuals received temporary or permanent housing; all registered with GP
Hawk and Davis, 2012 (66) Pittsburgh, Pennsylvania, USA 26 residents of low-barrier shelter, 96% use illicit drugs or alcohol Observational study of residents comparing individuals with undetectable vs. detectable PVL Exposure to Housing First, harm reduction-based shelter with case management in a 14-unit apartment building 69% of residents achieved undetectable viral loads
Parashar et al., 2011 (64) British Columbia, Canada 212 unstably housed participants drawn from HAART treatment registry Observational study of HAART adherence among participants in maximally-assisted treatment versus other Exposure to a maximally-assisted treatment including observed therapy Participation in MAT independently associated with higher likelihood of adherence (AOR 4.76, p = 0.003)
Tsai et al., 2010 (61) San Francisco, California, USA 158 HMH participants drawn from REACH cohort with Beck Depression Inventory Score II > 13 Marginal structural modeling of observational study of effect of antidepressant medication on PVL suppression Exposure to antidepressant medication (84% serotonin selective reuptake inhibitor) Participants on antidepressants had 2.03 greater odds of viral suppression
Wolitski et al., 2010 (63) Baltimore, Maryland; Chicago, Illinois; Los Angeles, California, USA 630 HMH individuals Participants randomized to rental assistance or standard of care. Outcomes included CD4+ cell count, PVL, health status and healthcare usage Immediate rental assistance though Housing Opportunities for People with AIDS (HOPWA) and case management Decrease in depression (p = 0.043); improvements in physical health (p = 0.006); no change in HAART access or adherence, CD4

TABLE 3.

Barriers and facilitators of HIV treatment outcomes and antiretroviral therapy access and adherence among homeless/marginally-housed PLWHA, 2000 to 2010

HIV treatment outcomes
Barriers Facilitators

Food insecurity (83) Exposure to housing-first/harm reduction intervention (66)
No health insurance (78) Exposure to supportive housing with integrated case management (62)
Exposure to case management (82)
HAART access/adherence (33,49,51,78)
Uninterrupted health insurance (55)
Medication for depression (84)
Single-tablet HAART regimen (60)

Access/adherence to antiretroviral therapy
Barriers Facilitators

Depression (52,54) Exposure to case management
Injection drug use (52) Mental health in-patient admission (52)
Crack cocaine use (52,53) Single-table HAART regimen (60)
Medication insurance status (54) Exposure to maximally-assisted HIV treatment programme (64)
Alcohol use (53)
Marijuana use (53)
Any illicit drug use (53)

As with a number of vulnerable groups at the beginning of the HAART era, concerns over possible non-adherence to medication led some to suggest combination therapy would be ineffective and drug-resistant viral subtypes would be generated (50). However, subsequent investigations have demonstrated that homeless individuals can benefit equally from ART given adequate levels of adherence to treatment (51). Among homeless PLWHA, a number of behavioral factors have been associated with lower levels of adherence to HIV treatment (52,53). In 2004, Moss and colleagues published the first observational study of adherence among a community-recruited group of homeless or marginally-housed PLWHA (52). The Research in Access to Care in the Homeless (REACH) cohort in San Francisco, California, is a representative sample of individuals from shelters, free meal programmes and SRO hotels in the impoverished Tenderloin district (52). Of 148 ART-exposed individuals included in the analysis of adherence, 46 (31%) discontinued treatment during the study. In a multivariate survival analysis of time to discontinuation, current IDU and individuals of African-American ethnicity exhibited significantly faster rates of discontinuation. Among those who did not discontinue, lower mean adherence was associated with crack cocaine use and African-American ethnicity. The association of illicit drug use on poorer adherence was echoed in a recent report from a study involving 602 homeless/marginally-housed PLWHA in Baltimore, Maryland; Chicago, Illinois and Los Angeles, California (53). In adjusted analyses, marijuana users (AOR = 2.08), crack cocaine users (AOR = 2.09) and alcohol users (AOR = 2.98) had elevated levels of self-reported non-adherence in the previous two days (53). More recently, two studies have identified how structural factors, specifically access to health insurance, is linked to ART exposure and adherence (54,55). Using a marginal structural modeling approach to account for selection effects associated with the exposure, Riley and colleagues found that among homeless/marginally-housed PLWHA, possessing both intermittent and continuous health insurance was associated with greater odds of receiving ambulatory care and exposure to ART compared to those who were uninsured (55). Further, changes to health insurance regulations, specifically increases in medication cost-sharing, were associated with self-reported ART interruptions (AOR = 7.50, p-value < 0.01) (54).

Depression, a common barrier to adherence among PLWHA, has also been associated with poorer health status and HIV treatment outcomes among homeless/marginally-housed PLWHA (56,57). In a study among homeless/marginally-housed PLWHA in San Francisco, California, a validated measure of depression was independently associated with lower scores on every domain of the Short Form (SF)-36, a validated measure of physical and mental health status. In a related study, more half of the homeless/marginally-housed participants in the REACH cohort were found to be depressed, with a higher likelihood of depression among individuals of Caucasian race and those reporting more than 14 alcoholic drinks in the last week (56).

Two recent analyses of data from the REACH cohort (58,59) used marginal structural modeling and targeted variable importance approaches to estimate a ranked list of factors associated with overall physical and mental health. Among 129 homeless/marginally-housed HIV-seropositive women, unmet subsistence needs were found to have the largest effect on overall mental health, as measured by changes in SF-36 scores; crack use was found to have the largest effect on overall physical health (58). Unmet subsistence needs were estimated to have the largest effects on both overall mental and physical scores in an analysis of the SF-36 scores of 288 homeless/marginally-housed HIV-seropositive men (59).

INTERVENTIONS FOCUSED ON HOMELESS/MARGINALLY-HOUSED PLWHA

Interventions evaluated to improve the health, HAART adherence and HIV treatment outcomes of homeless/marginally-housed PLWHA include: individual-focused pharmacologic programmes (60,61); supportive housing and case management (62); housing assistance (28,63); directly-observed therapy (DOT) (64); outreach and case management (65); and a housing-first harm reduction-based programme (66). Among interventions evaluated using random assignment (28,62,63), modest (62) or no (63) effects on HIV-related measures were observed. In a trial of immediate rental assistance versus standard care involving 630 homeless and unstably housed PLWHA, no differences were seen after 18 months on the proportion exposed or adherent to HAART or with detectable viral load or CD4+ cell count above 200 cells (63). Although the authors suggest that the substantial decline in homelessness and unstable housing among the comparison group limited power in their intent-to-treat analyses, significant differences were seen in levels of depression and overall physical health (63). In a trial of immediate housing and intensive case management, a significantly greater proportion of individuals in the intervention arm reached the primary endpoint of survival with intact immunity (CD4+ ≥ 200 cells and PVL < 100,000) at 12 months (62). This difference was largely driven by differences in immunologic response as there were no significant differences in mortality or PVL between the two arms (62). More recently, two studies have investigated the impact of harm reduction-based approaches on HAART adherence (64) and viral loads among groups of homeless/marginally-housed PLWHA with a substantial proportion of illicit drug users. In Vancouver, British Columbia, engagement in a DOT-like programme was associated with higher odds of optimal HAART adherence (AOR = 4.76, p-value = 0.003) among unstably-housed individuals in the provincial HIV treatment registry (64). In Pittsburgh, Pennsylvania, a case study of 26 residents of a harm reduction-based housing service found that 69% achieved undetectable viral load. While both results are impressive, the findings should be considered in light of the lack of a comparison group, in one case (66), or adjustment for non-random assignment to the intervention in the other (64).

CONCLUSION

The evidence reviewed here indicates inferior housing status is a pervasive experience for PLWHA and is strongly correlated with lower rates of appropriate HIV care, access and adherence to HAART and optimal HIV treatment outcomes. However, the specific causal pathways from homelessness to HAART adherence and treatment outcomes are unclear. Also unresolved is the relative contribution of homelessness and how it mediates more distal exposures. To date, research has focused on proximate individual-level behavioural and psychological determinants of HAART adherence and HIV treatment outcomes, such as depression and illicit drug use. While the management of PLWHA with co-occurring disorders including mental health comorbidities and active illicit drug use is complex (67), a growing collection of scientific evidence indicates that social- and structural-level exposures exacerbate these problems and further undermine HAART adherence and HIV treatment outcomes among members of vulnerable and marginalized populations (6870). For example, among illicit drug users, the criminalization of drug use and resulting exposure to the criminal justice and correctional system has been shown to be strongly associated with HAART adherence independent of individual-level factors including drug use itself (71). Among homeless/marginally-housed PLWHA, the relationships of these social- and structural-level factors to HAART adherence and HIV treatment outcomes remain poorly understood and require further evaluation. Findings from the REACH study in San Francisco have provided initial indications of how changes to publicly-funded HIV care programmes have helped determine patterns of HAART access and adherence (54,55). Emerging research also suggests that, at least among HIV-seropositive illicit drug users, factors that contribute to vulnerability to HIV infection also play a role in blunting the effectiveness of HAART (69,72). Thus, future research could investigate how prevalent social- and structural-level exposures previously linked to HIV vulnerability among homeless/marginally-housed PLWHA, including engagement in the survival sex trade (73,74), incarceration (20,75), antecedent sexual and physical abuse (20) and low socioeconomic position (21), drive poorer HIV treatment outcomes.

Recent studies involving injection drug users (76) and HIV-serodiscordant couples (77) have revealed the important influence of plasma HIV-1 RNA viral load, at both the individual and community levels, on HIV transmission patterns. Confirming the potential of HIV treatment to prevent new infections, these studies have sparked new interventions designed to seek out individuals at risk, test them for infection and engage and retain them in evidence-based medical care including HAART. To date, the effect of so-called seek, test, treat and retain (STTR) strategies has not been specifically evaluated among homeless/marginally-housed individuals. Clearly there are steep barriers to implementing an STTR strategy among homeless/marginally-housed individuals. These including the competing needs of homeless/marginally-housed individuals, a high prevalence of co-occurring mental and physical disorders, suboptimal contact with the healthcare system and, finally, limited public funds, in many jurisdictions, for HIV care for members of marginalized populations. However, more than a decade since a high-profile review argued in favour of not denying homeless individuals access to then-novel protease inhibitors (50), studies have demonstrated that homeless/marginally-housed individuals can benefit from HAART given adequate levels of adherence to treatment (33,78). Thus, to reduce elevated levels of preventable HIV/AIDS-related morbidity and mortality and to address secondary HIV transmission from homeless/marginally-housed PLWHA to their sexual and drug-using partners, interventions to identify HIV-seropositive individuals and engage them in care including HAART adherence support should be piloted immediately. As previous interventions have demonstrated modest effects on HAART adherence and HIV treatment outcomes, comprehensive programmes including directly-observed treatment delivered free-of-charge within a housing-first and harm reduction environment may be most effective.

There are various limitations of this review to consider. First, no standard definition of housing status was used by all studies included in the review. Some studies focused on outright homelessness while others involved those who lived in unstable conditions, such as single-room occupancy hotels and shelters. In order to best investigate the relationships of housing status on the health of PLWHA, all relevant studies were included. Details of the definition of housing status have been included in all cases where relevant. Second, although the impact of socioeconomic status is seen in all aspects of the global HIV/AIDS pandemic, our review has focused on the impact of housing status in North America. In addition, a substantial proportion of the research has been generated by the REACH cohort in San Francisco, California. However, the study is a large and longitudinal observational cohort recruited using rigorous sampling techniques that is believed to be representative of the homeless/marginally-housed population the area. Finally, there are some methodologic issues and limitations common to many studies, including difficulty retaining homeless/marginally-housed individuals in intervention studies, the impossibility of conducting blinded studies and need to allow for cross-over. Future research should endeavor to employ developing statistical modeling techniques, including marginal structural causal models, to address these weaknesses.

To conclude, we reviewed the scientific evidence on the relationship of housing status on the health status, HAART adherence and HIV treatment outcomes of PLWHA. Inferior housing, including homelessness and living in marginal conditions, is common among PLWHA and strongly associated with poorer health, lower rates of exposure and adherence to HAART and sub-optimal HIV treatment outcomes. However, the barriers to HAART access and adherence still have yet to be completely described and the impact of social- and structural-level exposures has not been well evaluated. Although future research should address these uncertainties, there is a clear need to immediately implement innovative and comprehensive HIV treatment interventions realize the public health benefits of HAART as well as address the substantial HIV-related health disparities among homeless/marginally-housed PLWHA.

Acknowledgments

We thank Deborah Graham, Carmen Rock and Peter Vann for their administrative assistance. M-J Milloy is supported by fellowships from the Canadian Institutes of Health Research and the Michael Smith Foundation for Health Research. This work was supported by the National Institutes of Health (R01DA021525.)

This work was also supported by grants from the National Institutes of Health, the Canadian Institutes of Health Research and the Michael Smith Foundation for Health Research. This research was undertaken, in part, thanks to funding from the Canada Research Chairs program through a Tier 1 Canada Research Chair in Inner City Medicine which supports Dr. Evan Wood.

Footnotes

Disclosure: Milloy: post-doctoral fellowships with Canadian Institutes of Health Research and Michael Smith Foundation for Health Research; Marshall: none; Montaner: none; Wood: none.

References

  • 1.Breakey WR, Fischer PJ, Kramer M, Nestadt G, Romanoski AJ, Ross A, et al. Health and mental health problems of homeless men and women in Baltimore. JAMA: The Journal of the American Medical Association. 1989 Sep 8;262(10):1352–7. [PubMed] [Google Scholar]
  • 2.Hwang SW. Mortality among men using homeless shelters in Toronto, Ontario. JAMA: The Journal of the American Medical Association. 2000 Apr 26;283(16):2152–7. doi: 10.1001/jama.283.16.2152. [DOI] [PubMed] [Google Scholar]
  • 3.Fischer PJ, Breakey WR. The epidemiology of alcohol, drug, and mental disorders among homeless persons. Am Psychol. 1991 Nov;46(11):1115–28. doi: 10.1037//0003-066x.46.11.1115. [DOI] [PubMed] [Google Scholar]
  • 4.Plevneshi A, Svoboda T, Armstrong I, Tyrrell GJ, Miranda A, Green K, et al. Population-based surveillance for invasive pneumococcal disease in homeless adults in Toronto. PLoS ONE. 2009;4(9):e7255. doi: 10.1371/journal.pone.0007255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Mohtashemi M, Kawamura LM. Empirical evidence for synchrony in the evolution of TB cases and HIV+ contacts among the San Francisco homeless. PLoS ONE. 2010;5(1):e8851. doi: 10.1371/journal.pone.0008851. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • *6.Kerker BD, Bainbridge J, Kennedy J, Bennani Y, Agerton T, Marder D, et al. A population-based assessment of the health of homeless families in New York City, 2001–2003. Am J Public Health. 2011 Mar;101(3):546–53. doi: 10.2105/AJPH.2010.193102. Using data from homeless shelter registries linked to mortality, HIV and tuberculosis registries in New York City, the authors estimated population-based rates among homeless families, low-income families and NYC residents overall, identifying high levels of substance and HIV-related mortality among homeless residents. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Culhane DP, Gollub E, Kuhn R, Shpaner M. The co-occurrence of AIDS and homelessness: results from the integration of administrative databases for AIDS surveillance and public shelter utilisation in Philadelphia. Journal of Epidemiology & Community Health. 2001 Jul;55(7):515–20. doi: 10.1136/jech.55.7.515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • *8.Gelberg L, Robertson MJ, Arangua L, Leake BD, Sumner G, Moe A, et al. Prevalence, distribution, and correlates of hepatitis C virus infection among homeless adults in los angeles. Public Health Rep. 2012 Jul;127(4):407–21. doi: 10.1177/003335491212700409. This study, resulting from a seroprevalence survey for hepatitis C (HCV) infection among homeless adults in Los Angeles’ Skid Row area, found high levels of HCV infection and low levels of treatment. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Gomez R, Thompson SJ, Barczyk AN. Factors associated with substance use among homeless young adults. Substance Abuse. 2010 Jan;31(1):24–34. doi: 10.1080/08897070903442566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Hwang SW, Colantonio A, Chiu S, Tolomiczenko G, Kiss A, Cowan L, et al. The effect of traumatic brain injury on the health of homeless people. CMAJ. 2008 Oct 7;179(8):779–84. doi: 10.1503/cmaj.080341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Teruya C, Longshore D, Andersen RM, Arangua L, Nyamathi A, Leake B, et al. Health and health care disparities among homeless women. Women & Health. 2010 Dec;50(8):719–36. doi: 10.1080/03630242.2010.532754. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Aidala AA, Lee G, Abramson DM, Messeri P, Siegler A. Housing Need, Housing Assistance, and Connection to HIV Medical Care. AIDS Behav. 2007 Sep 3;11(S2):101–15. doi: 10.1007/s10461-007-9276-x. [DOI] [PubMed] [Google Scholar]
  • 13.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 May;92(5):778–84. doi: 10.2105/ajph.92.5.778. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Kushel MB, Vittinghoff E, Haas JS. Factors associated with the health care utilization of homeless persons. JAMA: The Journal of the American Medical Association. 2001 Jan 10;285(2):200–6. doi: 10.1001/jama.285.2.200. [DOI] [PubMed] [Google Scholar]
  • 15.The 2009 annual homeless assessment report to Congress; Washington, DC: United States Department of Housing and Urban Development; 2009. [Google Scholar]
  • 16.Zolopa AR, Hahn JA, Gorter R, Miranda J, Wlodarczyk D, Peterson J, et al. HIV and tuberculosis infection in San Francisco’s homeless adults. Prevalence and risk factors in a representative sample. JAMA: The Journal of the American Medical Association. 1994 Aug 10;272(6):455–61. [PubMed] [Google Scholar]
  • **17.Bruneau J, Daniel M, Abrahamowicz M, Zang G, Lamothe F, Vincelette J. Trends in human immunodeficiency virus incidence and risk behavior among injection drug users in montreal, Canada: a 16-year longitudinal study. American Journal of Epidemiology. 2011 May 1;173(9):1049–58. doi: 10.1093/aje/kwq479. The long-term study of HIV seroconversion among individuals who use injection drugs in Montreal identified living in unstable housing as a strong and consistent risk factor for seroconversion. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Robertson MJ, Clark RA, Charlebois ED, Tulsky J, Long HL, Bangsberg DR, et al. HIV seroprevalence among homeless and marginally housed adults in San Francisco. Am J Public Health. 2004 Jul;94(7):1207–17. doi: 10.2105/ajph.94.7.1207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Aidala A, Cross JE, Stall R, Harre D, Sumartojo E. Housing status and HIV risk behaviors: implications for prevention and policy. AIDS Behav. 2005 Sep;9(3):251–65. doi: 10.1007/s10461-005-9000-7. [DOI] [PubMed] [Google Scholar]
  • 20.Courtenay-Quirk C, Pals SL, Kidder DP, Henny K, Emshoff JG. Factors associated with incarceration history among HIV-positive persons experiencing homelessness or imminent risk of homelessness. J Community Health. 2008 Dec;33(6):434–43. doi: 10.1007/s10900-008-9115-7. [DOI] [PubMed] [Google Scholar]
  • 21.Kidder DP, Wolitski RJ, Pals SL, Campsmith ML. Housing status and HIV risk behaviors among homeless and housed persons with HIV. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2008 Dec 1;49(4):451–5. doi: 10.1097/qai.0b013e31818a652c. [DOI] [PubMed] [Google Scholar]
  • 22.Stein JA, Nyamathi AM, Zane JI. Situational, psychosocial, and physical health-related correlates of HIV/AIDS risk behaviors in homeless men. American Journal of Men’s Health. 2009 Mar;3(1):25–35. doi: 10.1177/1557988307307862. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Vella S, Schwartländer B, Sow SP, Eholie SP, Murphy RL. The history of antiretroviral therapy and of its implementation in resource-limited areas of the world. AIDS. 2012 Jun 19;26(10):1231–41. doi: 10.1097/QAD.0b013e32835521a3. [DOI] [PubMed] [Google Scholar]
  • 24.The Antiretroviral Therapy Cohort Collaboration. Mortality of HIV-infected patients starting potent antiretroviral therapy: comparison with the general population in nine industrialized countries. International Journal of Epidemiology. 2009 Dec 1;38(6):1624–33. doi: 10.1093/ije/dyp306. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Obel N, Omland LH, Kronborg G, Larsen CS, Pedersen C, Pedersen G, et al. Impact of Non-HIV and HIV Risk Factors on Survival in HIV-Infected Patients on HAART: A Population-Based Nationwide Cohort Study. In: Myer L, editor. PLoS ONE. 7. Vol. 6. 2011. Jul 25, p. e22698. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.World Health Organization, UNAIDS, UNICEF. Global HIV/AIDS Response. Geneva, Switzerland: United Nations; 2011. pp. 1–233. [Google Scholar]
  • 27.Geddes JR, Fazel S. Extreme health inequalities: mortality in homeless people. Lancet. 2011 Jun 25;377(9784):2156–7. doi: 10.1016/S0140-6736(11)60885-4. [DOI] [PubMed] [Google Scholar]
  • 28.Kidder DP, Wolitski RJ, Royal S, Aidala A, Courtenay-Quirk C, Holtgrave DR, et al. Access to housing as a structural intervention for homeless and unstably housed people living with HIV: rationale, methods, and implementation of the housing and health study. AIDS Behav. 2007 Nov;11(6 Suppl):149–61. doi: 10.1007/s10461-007-9249-0. [DOI] [PubMed] [Google Scholar]
  • 29.Hwang SW. Homelessness and health. CMAJ. 2001 Jan 23;164(2):229–33. [PMC free article] [PubMed] [Google Scholar]
  • *30.Chen NE, Meyer JP, Avery AK, Draine J, Flanigan TP, Lincoln T, et al. Adherence to HIV Treatment and Care Among Previously Homeless Jail Detainees. AIDS Behav. 2011 Nov 8; doi: 10.1007/s10461-011-0080-2. The study by Chen et al. illustrates the important relationship between incarceration and poor housing status and how they combine to disrupt adherence to HIV treatment and care. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Doshi RK, Vogenthaler NS, Lewis S, RODRIGUEZ A, Metsch L, Rio CD. Correlates of Antiretroviral Utilization Among Hospitalized HIV-Infected Crack Cocaine Users. AIDS Research and Human Retroviruses. 2012 Mar 2;:120302075540005. doi: 10.1089/aid.2011.0329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Kidder DP, Wolitski RJ, Campsmith ML, Nakamura GV. Health status, health care use, medication use, and medication adherence among homeless and housed people living with HIV/AIDS. Am J Public Health. 2007 Dec;97(12):2238–45. doi: 10.2105/AJPH.2006.090209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • *33.Milloy M-J, Kerr T, Bangsberg DR, Buxton J, Parashar S, Guillemi S, et al. Homelessness as a structural barrier to effective antiretroviral therapy among HIV-seropositive illicit drug users in a Canadian setting. AIDS Patient Care STDS. 2012 Jan;26(1):60–7. doi: 10.1089/apc.2011.0169. This study, the first to use longitudinal data to estimate the effect of homelessness on HIV-1 RNA viral suppression following ART initiation, found poorer housing to be a structural barrier to effect HIV treatment. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Palepu A, Milloy M-J, Kerr T, Zhang R, Wood E. Homelessness and adherence to antiretroviral therapy among a cohort of HIV-infected injection drug users. J Urban Health. 2011 Jun;88(3):545–55. doi: 10.1007/s11524-011-9562-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • *35.Sayles JN, Rurangirwa J, Kim M, Kinsler J, Oruga R, Janson M. Operationalizing Treatment as Prevention in Los Angeles County: Antiretroviral Therapy Use and Factors Associated with Unsuppressed Viral Load in the Ryan White System of Care. AIDS Patient Care STDS. 2012 Jul 9;:120709113121004. doi: 10.1089/apc.2012.0097. Using data from a large provider of publicly-funded HIV treatment for poor and indigent individuals in Los Angeles, this study found that poorer housing status was associated with lower likelihoods of viral suppression. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Weiser SD, Fernandes K, Brandson E, Lima V, Anema A, Bangsberg D, et al. The Association Between Food Insecurity and Mortality Among HIV-Infected Individuals on HAART. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2009 Oct 14;52(3):342–50. doi: 10.1097/QAI.0b013e3181b627c2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Knowlton A, Arnsten J, Eldred L, Wilkinson J, Gourevitch M, Shade S, et al. Individual, interpersonal, and structural correlates of effective HAART use among urban active injection drug users. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2006 Apr 1;41(4):486–92. doi: 10.1097/01.qai.0000186392.26334.e3. [DOI] [PubMed] [Google Scholar]
  • 38.Walley AY, Cheng DM, Libman H, Nunes D, Horsburgh CR, Saitz R, et al. Recent drug use, homelessness and increased short-term mortality in HIV-infected persons with alcohol problems. AIDS. 2008 Jan 30;22(3):415–20. doi: 10.1097/QAD.0b013e3282f423f8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • *39.Schwarcz SK, Hsu LC, Vittinghoff E, Vu A, Bamberger JD, Katz MH. Impact of housing on the survival of persons with AIDS. BMC Public Health. 2009;9(1):220. doi: 10.1186/1471-2458-9-220. Using data from HIV/AIDS and housing registries, the study found that individuals with AIDS who obtained supportive housing survived longer than those who did not. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Lieb S, Brooks RG, Hopkins RS, Thompson D, Crockett LK, Liberti T, et al. Predicting death from HIV/AIDS: a case-control study from Florida public HIV/AIDS clinics. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2002 Jul 1;30(3):351–8. doi: 10.1097/00126334-200207010-00012. [DOI] [PubMed] [Google Scholar]
  • 41.Cunningham CO, Sohler NL, McCoy K, Heller D, Selwyn PA. Health care access and utilization patterns in unstably housed HIV-infected individuals in New York City. AIDS Patient Care STDS. 2005 Oct;19(10):690–5. doi: 10.1089/apc.2005.19.690. [DOI] [PubMed] [Google Scholar]
  • 42.Henry R, Richardson JL, Stoyanoff S, García GP, Dorey F, Iverson E, et al. HIV/AIDS health service utilization by people who have been homeless. AIDS Behav. 2008 Sep;12(5):815–21. doi: 10.1007/s10461-007-9282-z. [DOI] [PubMed] [Google Scholar]
  • 43.Tommasello AC, Gillis LM, Lawler JT, Bujak GJ. Characteristics of homeless HIV-positive outreach responders in urban US and their success in primary care treatment. AIDS Care. 2006 Nov;18(8):911–7. doi: 10.1080/09540120500331297. [DOI] [PubMed] [Google Scholar]
  • 44.Préau M, Protopopescu C, Raffi F, Rey D, Chêne G, Marcellin F, et al. Satisfaction with care in HIV-infected patients treated with long-term follow-up antiretroviral therapy: the role of social vulnerability. AIDS Care. 2012;24(4):434–43. doi: 10.1080/09540121.2011.613909. [DOI] [PubMed] [Google Scholar]
  • 45.Wohl AR, Carlos J-A, Tejero J, Dierst-Davies R, Daar ES, Khanlou H, et al. Barriers and unmet need for supportive services for HIV patients in care in Los Angeles County, California. AIDS Patient Care STDS. 2011 Sep;25(9):525–32. doi: 10.1089/apc.2011.0149. [DOI] [PubMed] [Google Scholar]
  • 46.Wenzel SL, Rhoades H, Tucker JS, Golinelli D, Kennedy DP, Zhou A, et al. HIV Risk Behavior and Access to Services: What Predicts HIV Testing among Heterosexually Active Homeless Men? AIDS Educ Prev. 2012 Apr;24(3):270–9. doi: 10.1521/aeap.2012.24.3.270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • *47.Knowlton AR, Arnsten JH, Eldred LJ, Wilkinson JD, Shade SB, Bohnert AS, et al. Antiretroviral Use Among Active Injection-Drug Users: The Role of Patient–Provider Engagement and Structural Factors. AIDS Patient Care STDS. 2010 Jul;24(7):421–8. doi: 10.1089/apc.2009.0240. The authors identified a range of individual, inter-personal and structural factors associated with exposure to HAART among individuals who use drugs. Stable housing was independently associated with HAART uptake. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Berg KM, Demas PA, Howard AA, Schoenbaum EE, Gourevitch MN, Arnsten JH. Gender differences in factors associated with adherence to antiretroviral therapy. J GEN INTERN MED. 2004 Nov;19(11):1111–7. doi: 10.1111/j.1525-1497.2004.30445.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Weiser SD, Bangsberg DR, Kegeles S, Ragland K, Kushel MB, Frongillo EA. Food insecurity among homeless and marginally housed individuals living with HIV/AIDS in San Francisco. AIDS Behav. 2009 Oct;13(5):841–8. doi: 10.1007/s10461-009-9597-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Bangsberg D, Tulsky JP, Hecht FM, Moss AR. Protease inhibitors in the homeless. JAMA: The Journal of the American Medical Association. 1997 Jul 2;278(1):63–5. [PubMed] [Google Scholar]
  • 51.Bangsberg DR, Hecht FM, Charlebois ED, Zolopa AR, Holodniy M, Sheiner L, et al. Adherence to protease inhibitors, HIV-1 viral load, and development of drug resistance in an indigent population. AIDS. 2000 Mar 10;14(4):357–66. doi: 10.1097/00002030-200003100-00008. [DOI] [PubMed] [Google Scholar]
  • 52.Moss AR, Hahn JA, Perry S, Charlebois ED, Guzman D, Clark RA, et al. Adherence to highly active antiretroviral therapy in the homeless population in San Francisco: a prospective study. Clinical Infectious Diseases. 2004 Oct 15;39(8):1190–8. doi: 10.1086/424008. [DOI] [PubMed] [Google Scholar]
  • 53.Friedman MS, Marshal MP, Stall R, Kidder DP, Henny KD, Courtenay-Quirk C, et al. Associations between substance use, sexual risk taking and HIV treatment adherence among homeless people living with HIV. AIDS Care. 2009 Jun;21(6):692–700. doi: 10.1080/09540120802513709. [DOI] [PubMed] [Google Scholar]
  • 54.Das-Douglas M, Riley ED, Ragland K, Guzman D, Clark R, Kushel MB, et al. Implementation of the Medicare Part D prescription drug benefit is associated with antiretroviral therapy interruptions. AIDS Behav. 2009 Feb;13(1):1–9. doi: 10.1007/s10461-008-9401-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • *55.Riley ED, Moore KL, Haber S, Neilands TB, Cohen J, Kral AH. Population-level effects of uninterrupted health insurance on services use among HIV-positive unstably housed adults. AIDS Care. 2011 Jul;23(7):822–30. doi: 10.1080/09540121.2010.538660. This analysis of data from a representative sample of homeless/marginally-housed individuals living with HIV/AIDS in San Francisco demonstrated how access to uninterrupted health insurance was associated with better patterns of health care. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Weiser SD, Riley ED, Ragland K, Hammer G, Clark R, Bangsberg DR. Brief report: Factors associated with depression among homeless and marginally housed HIV-infected men in San Francisco. J GEN INTERN MED. 2006 Jan;21(1):61–4. doi: 10.1111/j.1525-1497.2005.0282.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Riley ED, Wu AW, Perry S, Clark RA, Moss AR, Crane J, et al. Depression and drug use impact health status among marginally housed HIV-infected individuals. AIDS Patient Care STDS. 2003 Aug;17(8):401–6. doi: 10.1089/108729103322277411. [DOI] [PubMed] [Google Scholar]
  • **58.Riley ED, Moore K, Sorensen JL, Tulsky JP, Bangsberg DR, Neilands TB. Basic Subsistence Needs and Overall Health Among Human Immunodeficiency Virus-infected Homeless and Unstably Housed Women. American Journal of Epidemiology. 2011 Aug 24;174(5):515–22. doi: 10.1093/aje/kwr209. This study of a representative sample of homeless/marginally-housed female PLWHA showed how basic subsistence needs drive overall health status. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • *59.Riley ED, Neilands TB, Moore K, Cohen J, Bangsberg DR, Havlir D. Social, Structural and Behavioral Determinants of Overall Health Status in a Cohort of Homeless and Unstably Housed HIV-Infected Men. PLoS ONE. 2012;7(4):e35207. doi: 10.1371/journal.pone.0035207. This study of a representative sample of homeless/marginally-housed male PLWHA demonstrated the importance of a range of social, structural and behavioural factors on health status. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Bangsberg DR, Ragland K, Monk A, Deeks SG. A single tablet regimen is associated with higher adherence and viral suppression than multiple tablet regimens in HIV+ homeless and marginally housed people. AIDS. 2010 Nov 27;24(18):2835–40. doi: 10.1097/QAD.0b013e328340a209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Tsai AC, Weiser SD, Petersen ML, Ragland K, Kushel MB, Bangsberg DR. A marginal structural model to estimate the causal effect of antidepressant medication treatment on viral suppression among homeless and marginally housed persons with HIV. Arch Gen Psychiatry. 2010 Dec;67(12):1282–90. doi: 10.1001/archgenpsychiatry.2010.160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Buchanan D, Kee R, Sadowski LS, Garcia D. The health impact of supportive housing for HIV-positive homeless patients: a randomized controlled trial. Am J Public Health. 2009 Nov;99(Suppl 3):S675–80. doi: 10.2105/AJPH.2008.137810. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Wolitski RJ, Kidder DP, Pals SL, Royal S, Aidala A, Stall R, et al. Randomized trial of the effects of housing assistance on the health and risk behaviors of homeless and unstably housed people living with HIV. AIDS Behav. 2010 Jun;14(3):493–503. doi: 10.1007/s10461-009-9643-x. [DOI] [PubMed] [Google Scholar]
  • 64.Parashar S, Palmer AK, O’Brien N, Chan K, Shen A, Coulter S, et al. Sticking to it: the effect of maximally assisted therapy on antiretroviral treatment adherence among individuals living with HIV who are unstably housed. AIDS Behav. 2011 Nov;15(8):1612–22. doi: 10.1007/s10461-011-0026-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Cameron A, Lloyd L, Turner W, Macdonald G. Working across boundaries to improve health outcomes: a case study of a housing support and outreach service for homeless people living with HIV. Health & Social Care in the Community. 2009 Jul;17(4):388–95. doi: 10.1111/j.1365-2524.2008.00837.x. [DOI] [PubMed] [Google Scholar]
  • 66.Hawk M, Davis D. The effects of a harm reduction housing program on the viral loads of homeless individuals living with HIV/AIDS. AIDS Care. 2012 May;24(5):577–82. doi: 10.1080/09540121.2011.630352. [DOI] [PubMed] [Google Scholar]
  • 67.Altice FL, Kamarulzaman A, Soriano VV, Schechter M, Friedland GH. Treatment of medical, psychiatric, and substance-use comorbidities in people infected with HIV who use drugs. The Lancet Elsevier Ltd; 2010 Jul 31;376(9738):367–87. doi: 10.1016/S0140-6736(10)60829-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Krusi A, Wood E, Montaner J, Kerr T. Social and structural determinants of HAART access and adherence among injection drug users. Int J Drug Policy. 2010 Jan;21(1):4–9. doi: 10.1016/j.drugpo.2009.08.003. [DOI] [PubMed] [Google Scholar]
  • 69.Milloy M-J, Marshall B, Kerr T, Buxton J, Rhodes T, Montaner J, et al. Social and structural factors associated with HIV disease progression among illicit drug users: A systematic review. AIDS. 2012 Feb 13; doi: 10.1097/QAD.0b013e32835221cc. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Milloy MJ, Montaner J, Wood E. Barriers to HIV treatment among people who use injection drugs: implications for ‘treatment as prevention’. Current Opinion in HIV and AIDS. 2012 Jul;7(4):332–8. doi: 10.1097/COH.0b013e328354bcc8. [DOI] [PubMed] [Google Scholar]
  • 71.Milloy M-J, Kerr T, Buxton J, Rhodes T, Guillemi S, Hogg R, et al. Dose-response effect of incarceration events on nonadherence to HIV antiretroviral therapy among injection drug users. J Infect Dis. 2011 May 1;203(9):1215–21. doi: 10.1093/infdis/jir032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Milloy M-J, Kerr T, Buxton J, Rhodes T, Krusi A, Guillemi S, et al. Social and environmental predictors of plasma HIV RNA rebound among injection drug users treated with antiretroviral therapy. J Acquir Immune Defic Syndr. 2012 Apr 1;59(4):393–9. doi: 10.1097/QAI.0b013e3182433288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Kilbourne AM, Herndon B, Andersen RM, Wenzel SL, Gelberg L. Psychiatric symptoms, health services, and HIV risk factors among homeless women. Journal of Health Care for the Poor and Underserved. 2002 Feb;13(1):49–65. doi: 10.1353/hpu.2010.0189. [DOI] [PubMed] [Google Scholar]
  • 74.Surratt HL, Inciardi JA. HIV risk, seropositivity and predictors of infection among homeless and non-homeless women sex workers in Miami, Florida, USA. AIDS Care. 2004 Jul;16(5):594–604. doi: 10.1080/09540120410001716397. [DOI] [PubMed] [Google Scholar]
  • 75.Kushel MB, Hahn JA, Evans JL, Bangsberg DR, Moss AR. Revolving doors: imprisonment among the homeless and marginally housed population. Am J Public Health. 2005 Oct;95(10):1747–52. doi: 10.2105/AJPH.2005.065094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Wood E, Kerr T, Marshall BDL, Li K, Zhang R, Hogg RS, et al. Longitudinal community plasma HIV-1 RNA concentrations and incidence of HIV-1 among injecting drug users: prospective cohort study. BMJ. 2009 Apr 30;338:b1649–9. doi: 10.1136/bmj.b1649. (apr 30–1) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, et al. Prevention of HIV-1 Infection with Early Antiretroviral Therapy. N Engl J Med. 2011 Aug 11;365(6):493–505. doi: 10.1056/NEJMoa1105243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Riley ED, Bangsberg DR, Guzman D, Perry S, Moss AR. Antiretroviral therapy, hepatitis C virus, and AIDS mortality among San Francisco’s homeless and marginally housed. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2005 Feb 1;38(2):191–5. doi: 10.1097/00126334-200502010-00010. [DOI] [PubMed] [Google Scholar]
  • 79.Tsui JI, Bangsberg DR, Ragland K, Hall CS, Riley ED. The impact of chronic hepatitis C on health-related quality of life in homeless and marginally housed individuals with HIV. AIDS Behav. 2007 Jul;11(4):603–10. doi: 10.1007/s10461-006-9157-8. [DOI] [PubMed] [Google Scholar]
  • 80.Hansen L, Penko J, Guzman D, Bangsberg DR, Miaskowski C, Kushel MB. Aberrant behaviors with prescription opioids and problem drug use history in a community-based cohort of HIV-infected individuals. Journal of Pain and Symptom Management. 2011 Dec;42(6):893–902. doi: 10.1016/j.jpainsymman.2011.02.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Riley ED, Moore K, Sorensen JL, Tulsky JP, Bangsberg DR, Neilands TB. Basic Subsistence Needs and Overall Health Among Human Immunodeficiency Virus-infected Homeless and Unstably Housed Women. American Journal of Epidemiology. 2011 Aug 24;174(5):515–22. doi: 10.1093/aje/kwr209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Kushel MB, Colfax G, Ragland K, Heineman A, Palacio H, Bangsberg DR. Case management is associated with improved antiretroviral adherence and CD4+ cell counts in homeless and marginally housed individuals with HIV infection. Clinical Infectious Diseases. 2006 Jul 15;43(2):234–42. doi: 10.1086/505212. [DOI] [PubMed] [Google Scholar]
  • 83.Weiser SD, Frongillo EA, Ragland K, Hogg RS, Riley ED, Bangsberg DR. Food insecurity is associated with incomplete HIV RNA suppression among homeless and marginally housed HIV-infected individuals in San Francisco. J GEN INTERN MED. 2009 Jan;24(1):14–20. doi: 10.1007/s11606-008-0824-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Tsai AC, Karasic DH, Hammer GP, Charlebois ED, Ragland K, Moss AR, et al. Directly Observed Antidepressant Medication Treatment and HIV Outcomes Among Homeless and Marginally Housed HIV-Positive Adults: A Randomized Controlled Trial. Am J Public Health. 2012 Jun 21; doi: 10.2105/AJPH.2011.300422. [DOI] [PMC free article] [PubMed] [Google Scholar]

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