1. RESULTS Individual characteristics % (N) unless otherwise specified Gender Male 65% (255) Female 35% (136) Race/Ethnicity African American 35% (137) White-not Hispanic 18% (69) Puerto Rican 41.% (161) Other Latino 6.% (25) Less than high school education 45% (176) Mental illness diagnoses50% (196) HIV Diagnosis26% (101) Criminal conviction 65% (253) Drug Use in the past 30 days 62% (244) Monthly income $560 (mean) ($424.60 median) Age 45 (mean) Level of AccessParameterAdjusted Odds Ratio (95% CI) of significant covariates Received information about rental subsidies (n=282) Female4.66 (2.51-8.67) Mental Health Diagnosis1.90 (1.17-3.09) Currently Homeless0.43 (0.27-0.70) Applied for a rental subsidy (n=215) Female5.82 (3.43-9.87) Mental Health Diagnosis2.17 (1.34-3.50) Race African American4.08 (1.97-8.47) Puerto Rican1.69 (0.85-3.35) Other Latino1.16 (0.35-3.89) Currently Homeless0.35 (0.21-0.56) Received a rental subsidy (n=105) Female2.97 (1.84-4.79) HIV diagnosis2.39 (1.44-3.98) Level of AccessParameterAdjusted Odds Ratio (95% CI) for significant covariates Received information about supportive housing (n=169) HIV diagnosis3.27 (1.99-5.38) Mental Health Diagnosis1.76 (1.15-2.70) Currently Homeless0.62 (0.40-0.98) Applied for supportive housing (n=93) HIV diagnosis5.46 (3.24-9.21) Mental Health Diagnosis2.49 (1.48-4.21) Received supportive housing (n=73) HIV diagnosis7.65 (4.25-13.77) Mental Health Diagnosis2.51 (1.36-4.61) Homelessness and housing instability are significant barriers to addressing HIV/AIDS  Homeless people living with AIDS are more likely to delay entry into care, less likely to receive optimal antiretroviral therapy, and less likely to adhere to medications Despite demonstrated effectiveness, there are numerous barriers that preclude people from accessing housing including:  Lack of funding for federal housing programs; 9.3 million renters pay more than half of monthly income toward housing costs  Restrictive legislative policies; eligibility criteria limit housing options for drug users and those with criminal histories Little research has explored who is able to access these limited resources and this study is the first to examine multiple levels of housing access, including who receives information on, who applies for, and who is more likely to receive housing Objectives: 1.Explore multiple levels of housing access including who receives information on, applies for, and actually receives housing 2. Assess which individual characteristics predict greater or more limited access to subsidized or supportive housing Homelessness and housing instability are significant barriers to addressing HIV/AIDS  Homeless people living with AIDS are more likely to delay entry into care, less likely to receive optimal antiretroviral therapy, and less likely to adhere to medications Despite demonstrated effectiveness, there are numerous barriers that preclude people from accessing housing including:  Lack of funding for federal housing programs; 9.3 million renters pay more than half of monthly income toward housing costs  Restrictive legislative policies; eligibility criteria limit housing options for drug users and those with criminal histories Little research has explored who is able to access these limited resources and this study is the first to examine multiple levels of housing access, including who receives information on, who applies for, and who is more likely to receive housing Objectives: 1.Explore multiple levels of housing access including who receives information on, applies for, and actually receives housing 2. Assess which individual characteristics predict greater or more limited access to subsidized or supportive housing  Survey of 392 low-income residents of Hartford and East Hartford, CT, recruited through a targeted sampling plan  Inclusion criteria: 21 years of age or older; resident of Hartford or East Hartford; low-income (as defined by HUD as living on 50% or less of median income) To assess housing access: Stepwise logistic regressions explore who receives information on, who applies for, and who receives rental subsidies and supportive housing; covariates were significant at the.05 level Variables analyzed: gender, HIV status, mental health diagnosis, race/ethnicity, criminal convictions, current drug use, education level, monthly income, current housing status  Survey of 392 low-income residents of Hartford and East Hartford, CT, recruited through a targeted sampling plan  Inclusion criteria: 21 years of age or older; resident of Hartford or East Hartford; low-income (as defined by HUD as living on 50% or less of median income) To assess housing access: Stepwise logistic regressions explore who receives information on, who applies for, and who receives rental subsidies and supportive housing; covariates were significant at the.05 level Variables analyzed: gender, HIV status, mental health diagnosis, race/ethnicity, criminal convictions, current drug use, education level, monthly income, current housing status Logistic regression analyses of multiple levels of access to rental subsidies Logistic regression analyses of multiple levels of access to supportive housing  Housing programs have succeeded at increasing access for individuals living with HIV/AIDS, but access to housing programs remains limited for other low-income individuals  Individuals vulnerable to HIV, including the homeless with mental illness or current drug use, may also benefit from housing as a means of HIV prevention  Funding for rental subsidies and supportive housing should be increased to meet the needs of other low-income residents, especially those who may be vulnerable to HIV  Housing programs have succeeded at increasing access for individuals living with HIV/AIDS, but access to housing programs remains limited for other low-income individuals  Individuals vulnerable to HIV, including the homeless with mental illness or current drug use, may also benefit from housing as a means of HIV prevention  Funding for rental subsidies and supportive housing should be increased to meet the needs of other low-income residents, especially those who may be vulnerable to HIV Access to rental subsidies:  Women, those with mental illness, and African Americans were more likely to receive information on and apply for rental subsidies; individuals who were currently homeless were less likely to receive information on or apply for subsidies  Women and those with HIV were more likely to actually receive rental subsidies Access to rental subsidies:  Women, those with mental illness, and African Americans were more likely to receive information on and apply for rental subsidies; individuals who were currently homeless were less likely to receive information on or apply for subsidies  Women and those with HIV were more likely to actually receive rental subsidies Access to supportive housing:  Supportive housing access is limited to those with HIV diagnoses and mental illness. Those with HIV have over three times the adjusted odds of receiving information on, applying for, and receiving supportive housing. Access to supportive housing:  Supportive housing access is limited to those with HIV diagnoses and mental illness. Those with HIV have over three times the adjusted odds of receiving information on, applying for, and receiving supportive housing. Housing access as HIV prevention and care Katherine Quinn, MA 1, Julia Dickson-Gomez, PhD 2, Timothy McAuliffe, PhD 2, Jill Owczarzak, PhD 2 1 Institute for Health and Society, Medical College of Wisconsin, Milwaukee, WI; 2 Department of Psychiatry and Behavioral Medicine, Center for AIDS Intervention Research, Medical College of Wisconsin, Milwaukee, WI; Housing access as HIV prevention and care Katherine Quinn, MA 1, Julia Dickson-Gomez, PhD 2, Timothy McAuliffe, PhD 2, Jill Owczarzak, PhD 2 1 Institute for Health and Society, Medical College of Wisconsin, Milwaukee, WI; 2 Department of Psychiatry and Behavioral Medicine, Center for AIDS Intervention Research, Medical College of Wisconsin, Milwaukee, WI; CONCLUSION METHODS BACKGROUND & OBJECTIVES This research was funded in part by the National Institute on Drug Abuse (R01DA024578) and the National Institute of Mental Health (P30MH57226). For more information please contact: Julia Dickson-Gomez, PhD: jdickson@mcw.edu, 414-955-7700jdickson@mcw.edu Access to supportive housing 43% received information on supportive housing 49% applied for supportive housing 71% received supportive housing 29% didn’t receive supportive housing 51% didn’t apply for supportive housing 57% received no info on supportive housing Individual characteristicsAccess to rental subsidies and supportive housing Access to rental subsidies 72% received info on rental subsidies 74% applied for rental subsidies 49% received rental subsidies 31% didn’t receive rental subsidies 26% didn’t apply for rental subsidies 28% received no info on rental subsidies