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Housing and HIV/AIDS. Brief Summary of Research Findings. Angela A. Aidala, PhD Mailman School of Public Health Columbia University Integration of Care Committee – Nov 29, 2011. RESEARCH QUESTIONS.
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Housing and HIV/AIDS Brief Summary of Research Findings Angela A. Aidala, PhD Mailman School of Public Health Columbia University Integration of Care Committee – Nov 29, 2011
RESEARCH QUESTIONS • What are rates of homelessness or housing instability among PLWH and have rates changed over time? • What is the relationship between housing status and entry and maintenance in HIV medical care? • What are additional service needs of PLWH with unstable housing? • Housing (lack of housing) as a structural factor contributing to the continuing epidemic and associated health disparities
The C.H.A.I.N. Project Community Health Advisory & Information Network (CHAIN) Project Goals: • To provide a profile of PLWH/A in New York City //and the Tri-County Region • To assess the system of HIV care – both health and social services – from the perspective of people living with HIV/AIDS • To report on unmet needs, service utilization trends, and outcomes to the Planning Council and its Committees • Make research results available to the wider provider, consumer, and other stakeholder communities
History of CHAIN • Initially developed in 1993 as one of the Planning Council’s evaluation resources • Contract with Columbia University Public Health • CHAIN has recruited 4 cohorts of PLWH/A • - NYC I (1994-2002, n=968) • - NYC II (2002-present, n=1012) • - Tri-County I (2001-2007, n=482) • - Tri-County II (2008-present, n=234) • A Technical Review Team including representatives of the Planning Council, its PWA Advisory Group, MHRA/ Public Health Solutions, NYCDOHMH and (xx) Office of HIV/AIDS Planning oversees CHAIN
Selecting CHAIN ParticipantsA 2-Step Process • 1st step: random selection of service sites from listing of all agencies serving HIV clients • Medical and Social Service • All Boroughs (or Counties) • RW Funding vs. no RW • 2nd step: agency staff help with random selection of clients • Random selection from client rosters • Sequential enrollment • Agency liaison obtains consent to contact, CHAIN staff obtains consent for interview • Cohort composition closely tracks surveillance data/ RW client data
Recruiting CHAIN ParticipantsUnconnected to Care • NYC CHAIN includes small samples of PLWHA unconnected to care • Unconnected: Aware, no medical care, no HIV case mgmt for 6+months • RDS referrals from CHAIN agency recruited participants • Accompany Outreach Workers • Open recruitment and screening in street and community settings • 1994 (n=48) 1998 (n=24) 2002 (n=25)
Collecting Data • Comprehensive 2-3 hr, in-person interview • Follow-up interviews annually • Community based interviewers • Interviews in homes or agency settings • Community-based interviewing team • $25-$35 incentive for every interview + referral resource • High retention rate: 80% - 95% of eligible participants at each wave
National Study HRSA SPNS/ HUD HOPWA Multiple Diagnoses Initiative Interviews conducted with clients of demonstration projects providing health and social services to low income persons infected with HIV in 1996-2000 Baseline information from 3191 clients from 24 projects and follow-up data from 891 clients from 16 projects Sample: - 2/3 males (30% heterosexual, 37% gay, bisexual or questioning) - 1/2 African American, 13% Latino, 24% White, 10% Other - 4/5 income below $10,000 - 1/2 ever incarcerated Not probability sample -compares to clients in publicly funded services
MEASURING HOUSING STATUS • HOMELESS -- homeless, no regular place to sleep -- sleeping in the street, park, abandoned building -- in a public place (e.g. subway) not intended for sleeping -- in a shelter for homeless persons -- in a SRO or welfare hotel -- in jail with no other address • UNSTABLY HOUSED -- in transitional housing, resident treatment, halfway house -- temporarilydoubled up with other people • STABLY HOUSED -- own, secure housing in regular apartment or house
HOUSING PROBLEMS • Respondent reports problem with housing or need for housing services at present or at any time during the past 6 months • PROBLEMS DESCRIBED INCLUDE -- homeless, no regular place to live -- urgent need to leave current housing -- cannot pay rent -- facing eviction for any reason -- poor quality of housing (plumbing, heat) -- physical access difficulties -- dangerous, threatening neighborhood (drugs, crime) -- domestic violence situation
Housing & HIV Epidemiology The patterns of disease and risk for disease and death in a population
Homelessness - a major risk factor for HIV infection • Review of published literature • Rates of HIV infection are 3 - 16 x higher among persons who are homeless or unstably housed compared to similar persons with stable housing • 3% to 14% of all homeless persons are HIV positive (10 x the rate in the general population) • Over time studies show that among persons at high risk for HIV infection due to injecting drug use or risky sex, those without a stable home are more likely than others to become infected
HIV- a major risk factor for homelessness • 50% to 70% of all PLWHA report a lifetime experience of homelessness or housing instability • 10% to 16% of all diagnosed PLWHA are literally homeless - sleeping in shelters, on the street, in a car, or in an encampment • Twice as many are unstably housed, have housing problems, experience threat of housing loss • In general, medical conditions and medical costs are associated with housing problems for persons with chronic illness – can’t pay rent, face foreclosure
FINDINGS: NYC HOUSING & HIV • Housing need among PLWHA in New York - 49%- 52%% of each NYC cohort were homeless or unstably housed at during the year they were diagnosed with HIV - 60%- 70% experienced unstable housing or homelessness at least once during the study period (1994-2002 or 2002- 2010) - NYC rates of housing need remain fairly constant over time as some PLWH get housing needs met, others develop housing problems (35%-45% at any point in time) - Housing is the greatest unmet service need
HOUSING STATUS AND HOUSING PROBLEMSCHAIN STUDY (Agency recruited samples) 1. Past 6 months
HOUSING STATUS AND HOUSING PROBLEMSCHAIN STUDY (Unconnected samples) 1. Past 6 months
Housing & HIV Prevention Factors increasing or decreasing risk for disease
Housing status predicts HIV risk • Multiple studies have shown a strong and consistent relationship between housing status and sex and drug risk behaviors • Ex: Homeless or unstably housed PLWHA are 2 to 6 x more likely to use hard drugs, share needles or exchange sex than stably housed persons with the same personal characteristics and service use patterns • Prevention interventions are much less effective for participants who are struggling with housing issues • Studies show a ‘dose-relationship’ with the homeless at greater risk than the unstably housed, and both of these at greater risk than those with stable secure housing
Example:ODDS OF RECENT HARD DRUG USE 1Odds of needle use past 6 mos by current housing status controlling for demographics, economic factors, risk group, health status, mental health, and receipt of health and supportive services Note: All relationships statistically significant p< .01
Example:ODDS OF RECENT NEEDLE USE 1Odds of needle use past 6 mos by current housing status controlling for demographics, economic factors, risk group, health status, mental health, and receipt of health and supportive services Note: All relationships statistically significant p< .01
ODDS OF UNPROTECTED SEX PAST 6MOS NATIONAL SAMPLE 1Odds of unprotected sex past 6-12 mos by baseline housing status controlling for demographics economic factors, health status, mental health, receipt of health and supportive services Note: All relationships statistically significant p< .05 except ()=ns
ODDS OF UNPROTECTED SEX PAST 6 MOSCHAIN SAMPLE Men Women 1Odds of unprotected sex past 6 mos by baseline housing status controlling for demographics economic factors, health status, mental health, receipt of health and supportive services Note: All relationships statistically significant p< .05 except ()=ns
Housing is HIV Prevention • Overtime studies show a strong association between change in housing status and risk behavior change • Ex: PLWHA who improved housing status reduced sex and drug risk behaviors by half while persons whose housing status worsened are 2- 4 x as likely to exchange sex, have multiple partners • Risk reduction associated with housing controlling for socio-demographics, drug use, mental health, health status, and receipt of health and supportive services • Access to housing also increases access to appropriate care and antiretroviral medications which lowers viral load and reduces risk of transmission
PREDICTING T2 HARD DRUG USE NATIONAL MDI SAMPLE 1 Odds of Time 2 drug use by change in housing status controlling for Time 1 drug use, Time 1 housing status, demographics, economic factors, risk group, health, mental health, and receipt of health and supportive services Note: All relationships statistically significant p< .01
PREDICTING T2 UNPROTECTED SEX LAST INTERCOURSE 1Odds of Time 2 sex exchange by change in housing status controlling for Time 1 sex exchange, Time 1 housing status, demographics, economic factors, health, mental health, and receipt of health and supportive services Note: All relationships statistically significant p< .01 except ( ) =ns
Lack of stable housing = lack of treatment success • Homeless PLWHA compared to stably housed: • More likely to delay entry into care and to remain outside or marginal to HIV medical care • Fewer ever on ART, and fewer on ART currently • Less adherent to treatment regimen • Lower CD4 counts & less likely to have undetectable viral load • Worse mental & physical health functioning • More likely to be hospitalized & use ER
Factors Associated with Low Rates of Adherent HAART Use 52 NYC Average Percentage on HAART and adherent to regimen - NYC CHAIN cohort 2002-2010
Unstable housing reduces the odds of timely viral load suppression Controlling for HAART use and adherence, receipt of HIV care meeting practice standards, mental health score, recent substance use, and demographics
Housing Status Predicts Access and Maintenance in Health Care • Homeless/unstably housed PLWHA whose housing status improves over time are: • - more likely to report HIV primary care visits, continuous care, care that meets clinical practice standards • - more likely to return to care after drop out • - more likely to be receiving HAART • Housing status more significant predictor of health care access & outcomes than individual characteristics, insurance status, substance abuse and mental health co-morbidities, or service utilization
Housing and Access to Medical Care CHAIN NYC Adjusted odds ratios also controlling for age, ethnicity income, poverty neighborhood, risk exposure group, date of HIV diagnosis, date of cohort enrollment, t-cell count, insurance status. N=1651 individuals, 5865 observations, 1994 - 2007
Continuity of HIV Medical Care CHAIN NYC Adjusted odds ratios also controlling for age, ethnicity income, poverty neighborhood, risk exposure group, date of HIV diagnosis, date of cohort enrollment, t-cell count, insurance status. N=1295 individuals interviewed 2+ times, 53759 observations, 1994 - 2007
T2 Entry into HIV Medical Care CHAIN NYC Adjusted odds ratios also controlling for age, ethnicity income, poverty neighborhood, risk exposure group, date of HIV diagnosis, date of cohort enrollment, t-cell count, insurance status. N=557 individuals who were not in care at one or more interviews, 720 observations, 1994 - 2007
Two large-scale intervention studies examined the impact of housing on health care utilization & outcomes among homeless/unstably housed persons with HIV & other chronic medical conditions • The Chicago Housing for Health Partnershipfollowed 407 chronically ill homeless persons over 18 months following discharge from hospitals • The Housing and Health (H&H) Studyexamined the impact of housing on HIV risk behaviors and medical care among 630 homeless/unstably housed PLWHA in care in Chicago, LA, Baltimore • Findings: • Housing assistance linked to improved health, mental health, and quality of life outcomes • Investment in housing is cost effective
CHHP Findings • Housed participants: • More likely to be stably housed at 18 months • Fewer housing changes • Fewer hospitalizations, hospital days, ER visits, nursing home days • For every 100 persons housed, this translates into 49 fewer hospitalizations, 270 fewer hospital days, and 116 fewer emergency department visits per year • Reductions in avoidable health care costs translated into cost savings for the housed participants, even after taking into account the cost of the supportive housing • Savings for HIV+ subsample = $6622 per person per year
H&H Findings • At 18 months, 83% of voucher recipients had stable independent housing, compared to 51% of control group • Compared to housed participants, and controlling for demographics & health status, those who experienced homelessness during follow up: • Were significantly more likely to have a detectible viral load with prevention implications • Were significantly more likely to use an ER • Reported significantly higher levels of perceived stress which relates to quality-adjusted life expectancy
H & H Study Cost Results • Medical costs saved with single transmission prevented = $300,000 • Cost-per-quality-adjust-life-year-saved by H&H = • approx $62, 500
H & H Results: Cost per-QALY saved approx. $63,000 Within range of accepted standards for cost-effectiveness of public health services
RISKY PERSONS v. CONTEXTS OF RISK • Need to understand the causal direction and the mechanisms linking housing and behaviors that put people at risk for HIV infection and/or poor medical care outcomes • Does housing status influence individual risk behaviors and medical care outcomes, or are findings evidence of self-selection of “risky persons” into conditions of homelessness • RISKY PERSON MODEL: HIV INFECTION RISKY DISPOSITIONS/ PERSONALITY RISKY BEHAVIORS: Drug use Risky sex Illegal activities UNSTABLE HOUSING
Opposing Model: STRUCTURAL CONTEXTS OF RISK • HIV research shown that focus on individual level factors not sufficient – need address structural factors • Structural factor - an environmental or contextual influence that affects an individual’s ability to avoid exposure to health risks, or avail of health promoting resources • Housing is itself a structural or contextual factor within which we live our lives – but also manifestation of broader, antecedent, more global structural factors • The same fundamental causes put persons at risk for poor health and for unstable/inadequate housing : political contexts, inequality of opportunities and conditions, social processes of discrimination and social exclusion
Direct and Indirect Effects of Housing • Lack of stable, secure, adequate housing: -- Lack of protected space to maintain physical and psychological well-being -- Constant stress producing environments and experiences -- Neighborhoods of disadvantage and disorder -- Compromised identity and agency -- Press of daily needs - barrier to service use when available -- Structuring the private sphere – lack of housing is barrier to forming stable intimate relationships
RISKY CONTEXTS Model Barriers to service use Pervasive Risk Competing Needs Few Personal Resources Few Community Resources Economic Marginalization HIV infection Poor Health Outcomes for PLWHA Demoralization Depression Anxiety Social Exclusion UNSTABLE HOUSING Risky BehaviorsDrug use High risk sex
Policy & Practice Implications • Provision of housing is a promising structural intervention to reduce the spread of HIV as well as improve the lives of infected persons • More directly malleable ‘state’ of housing situation holds more promise for intervention than mechanisms far antecedent in psychological development or closer to biological bases of disease • Housing is a strategic target for intervention by addressing more proximal consequences of broader economic, social, political or policy barriers that affect prevention and health care • Expensive but offset by social and economic costs of poor health, inappropriate medical treatment, and treatment failure among growing numbers of persons living with HIV/AIDS or at high risk of infection