New York City EMSA HIV/AIDS Housing Needs · PDF fileHIV/AIDS Housing Needs Assessment ......

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New York City EMSA New York City EMSA HIV/AIDS Housing Needs Assessment HIV/AIDS Housing Needs Assessment Study Methodology and Preliminary Consumer Survey Results Study Methodology and Preliminary Consumer Survey Results HIV Health & Human Services Planning Council of NY HIV Health & Human Services Planning Council of NY Data Day Data Day – Needs Assessment for Planning Needs Assessment for Planning November 7, 2003 November 7, 2003 Hudson Planning Group Hudson Planning Group In collaboration with: In collaboration with: University of Pennsylvania’s Center for Mental Health Policy University of Pennsylvania’s Center for Mental Health Policy and Services Research and Services Research Center for Urban Community Services Center for Urban Community Services Public Sector Research Public Sector Research

Transcript of New York City EMSA HIV/AIDS Housing Needs · PDF fileHIV/AIDS Housing Needs Assessment ......

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New York City EMSANew York City EMSAHIV/AIDS Housing Needs AssessmentHIV/AIDS Housing Needs Assessment

Study Methodology and Preliminary Consumer Survey ResultsStudy Methodology and Preliminary Consumer Survey Results

HIV Health & Human Services Planning Council of NYHIV Health & Human Services Planning Council of NYData Day Data Day –– Needs Assessment for PlanningNeeds Assessment for Planning

November 7, 2003November 7, 2003

Hudson Planning GroupHudson Planning GroupIn collaboration with:In collaboration with:

University of Pennsylvania’s Center for Mental Health Policy University of Pennsylvania’s Center for Mental Health Policy and Services Researchand Services Research

Center for Urban Community Services Center for Urban Community Services

Public Sector Research Public Sector Research

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Study OverviewStudy Overview•• A comprehensive study of the need for and availability of housinA comprehensive study of the need for and availability of housing g

resources and related services for New Yorkers living with HIV/Aresources and related services for New Yorkers living with HIV/AIDSIDS

•• Study examines the five boroughs of NYC & the Lower Hudson RegioStudy examines the five boroughs of NYC & the Lower Hudson Region n of New York Stateof New York State

•• TwoTwo--year study, with results and recommendations expected in late 20year study, with results and recommendations expected in late 200303

•• For more information contact:For more information contact:Virginia ShubertVirginia ShubertHudson Planning GroupHudson Planning Group(212) 901(212) [email protected]@hudsonplanning.org

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AcknowledgementsAcknowledgements•• Funding for this study is provided by the New York City DepartmeFunding for this study is provided by the New York City Department of Health and Mental nt of Health and Mental

Hygiene, Office of AIDS Policy Coordination, under the federal HHygiene, Office of AIDS Policy Coordination, under the federal HOPWA program, and is OPWA program, and is administered by the Postgraduate Center for Mental Health.administered by the Postgraduate Center for Mental Health.

•• HPG is conducting a parallel study of HIV/AIDS housing needs in HPG is conducting a parallel study of HIV/AIDS housing needs in the balance of New the balance of New York State, which is supported by funding from the New York StatYork State, which is supported by funding from the New York State Department of Health e Department of Health AIDS Institute.AIDS Institute.

•• Support and guidance for the study is provided by an Advisory GrSupport and guidance for the study is provided by an Advisory Group composed of oup composed of consumers and providers of HIV/AIDS housing and services, represconsumers and providers of HIV/AIDS housing and services, representatives of New York entatives of New York City and State government agencies, and members of the private bCity and State government agencies, and members of the private business sector.usiness sector.

•• Special thanks are due to ten peer survey workers who assisted tSpecial thanks are due to ten peer survey workers who assisted the assessment team with he assessment team with administration of an extensive consumer survey; to the over 2,00administration of an extensive consumer survey; to the over 2,000 New Yorkers with 0 New Yorkers with HIV/AIDS who responded to the consumer survey; and to the many iHIV/AIDS who responded to the consumer survey; and to the many individuals and ndividuals and organizations who have participated in key informant interviews organizations who have participated in key informant interviews and focus groups.and focus groups.

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Goals of the Needs AssessmentGoals of the Needs Assessment

•• Collect comprehensive quantitative and qualitative data regardinCollect comprehensive quantitative and qualitative data regarding:g:–– Consumers of HIV/AIDS housing resources, and their needs and Consumers of HIV/AIDS housing resources, and their needs and

preferences preferences –– Existing housing and related services available to Existing housing and related services available to NYersNYers with HIV/AIDSwith HIV/AIDS

•• Provide facts needed to:Provide facts needed to:–– Support ongoing planning to meet the housing needs of Support ongoing planning to meet the housing needs of NYersNYers with with

HIV/AIDSHIV/AIDS–– Inform funding priorities, and support funding applicationsInform funding priorities, and support funding applications

•• Develop recommendations and proposed strategies to improve:Develop recommendations and proposed strategies to improve:–– The mix and volume of available housing resourcesThe mix and volume of available housing resources–– The housing referral and placement processThe housing referral and placement process

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Study OutcomesStudy Outcomes•• Concrete data on consumer needs and preferencesConcrete data on consumer needs and preferences

•• An analysis of the overlap of homelessness and AIDSAn analysis of the overlap of homelessness and AIDS

•• A searchable inventory of housing available to persons living wiA searchable inventory of housing available to persons living with th HIV/AIDSHIV/AIDS

•• A comprehensive analysis of sources and uses of capital and A comprehensive analysis of sources and uses of capital and operating funding, and of opportunities for and barriers to operating funding, and of opportunities for and barriers to developmentdevelopment

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Background of the StudyBackground of the Study

•• New therapies have resulted in a dramatic reduction in AIDS New therapies have resulted in a dramatic reduction in AIDS deaths in NYC; and deaths in NYC; and the number of New Yorkers living with the number of New Yorkers living with AIDS has doubled in 5 yearsAIDS has doubled in 5 years

•• Research shows that PWHIV/AIDS in appropriate housing Research shows that PWHIV/AIDS in appropriate housing are 4 times more likely to receive ongoing medical care than are 4 times more likely to receive ongoing medical care than those who are homeless or unstably housedthose who are homeless or unstably housed

•• Over 26,800 persons with HIV/AIDS receive housing Over 26,800 persons with HIV/AIDS receive housing assistance through HASA, up from 24,000 two years ago assistance through HASA, up from 24,000 two years ago

•• The NYC housing market is very tight, with only a 3% The NYC housing market is very tight, with only a 3% overall vacancy rateoverall vacancy rate

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Study Methodology:Study Methodology:Demand/Supply AnalysisDemand/Supply Analysis•• Demand AnalysisDemand Analysis

–– Survey consumer needs and preferencesSurvey consumer needs and preferences–– Merge NYC health and homeless service databases to Merge NYC health and homeless service databases to

examine the overlap of shelter use & an AIDS diagnosisexamine the overlap of shelter use & an AIDS diagnosis–– Examine findings with followExamine findings with follow--up focus groupsup focus groups

•• Supply AnalysisSupply Analysis–– Inventory HIV/AIDSInventory HIV/AIDS--specific housingspecific housing–– Evaluate other (nonEvaluate other (non--HIV) subsidized and/or supportive HIV) subsidized and/or supportive

housing systems used by persons with HIV/AIDShousing systems used by persons with HIV/AIDS–– Conduct key informant interviews and focus groupsConduct key informant interviews and focus groups

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Consumer Survey: MethodologyConsumer Survey: Methodology•• The survey was conducted by researchers from the University of The survey was conducted by researchers from the University of

Pennsylvania Center for Mental Health Policy and Services Pennsylvania Center for Mental Health Policy and Services ResearchResearch

•• The survey instrument was developed by a working group of The survey instrument was developed by a working group of consumers, providers, and public and private policy makersconsumers, providers, and public and private policy makers

•• Housing and service providers distributed survey packets to Housing and service providers distributed survey packets to existing clients (by mail, through case mgrs & in groups)existing clients (by mail, through case mgrs & in groups)

•• Peer survey workers administered the survey in group settings & Peer survey workers administered the survey in group settings & oneone--onon--one with persons with linguistic & other barriersone with persons with linguistic & other barriers

•• All survey responses were anonymous and confidentialAll survey responses were anonymous and confidential

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Consumer Survey: ResultsConsumer Survey: Results

•• Extensive survey instrument (118 questions!)Extensive survey instrument (118 questions!)•• 6,500 surveys distributed6,500 surveys distributed•• 55 providers of housing, healthcare & support 55 providers of housing, healthcare & support

services participated in survey distributionservices participated in survey distribution•• 2,088 completed surveys2,088 completed surveys•• Survey respondents accurately reflect the Survey respondents accurately reflect the

demographics of AIDS in the NYC EMSA (by demographics of AIDS in the NYC EMSA (by borough/county, gender, and race)borough/county, gender, and race)

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Consumer Survey: AnalysesConsumer Survey: Analyses

•• Analyses performed to assess:Analyses performed to assess:–– Characteristics/needs of consumers Characteristics/needs of consumers –– Current living arrangementsCurrent living arrangements–– Income sourcesIncome sources–– History of homelessnessHistory of homelessness–– Housing preferencesHousing preferences–– Need for and availability of support servicesNeed for and availability of support services

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Interpreting Survey ResponsesInterpreting Survey Responses•• Responses are presented as either:Responses are presented as either:

–– Percentages of people who selected the response Percentages of people who selected the response –– Means/averages of the responsesMeans/averages of the responses

•• Percentages and means/averages only represent the Percentages and means/averages only represent the people who answered the question people who answered the question (n=number of (n=number of respondents who answered the question)respondents who answered the question)

•• Responses are presented by gender and/or Responses are presented by gender and/or race/ethnicity only where these factors have a race/ethnicity only where these factors have a statistically significant effect on the responses statistically significant effect on the responses

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Survey RespondentsSurvey Respondentsby HIV Status and Ageby HIV Status and Age

100.0%100.0%100.0%100.0%100.0%100.0%100.0%Total (n=1836)

28.6%25.1%26.4%34.6%45.0%50.0%—HIV-positive w/o symptoms

32.6%30.9%32.8%33.8%42.5%22.7%100.0%HIV-positive w/ symptoms

38.8%44.0%40.8%31.6%12.5%27.3%—AIDS

HIV

Status

50 or older40 - 4930 - 3925 - 2920 - 2413 - 19

TotalAge Group

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Complex Life IssuesComplex Life IssuesAmong Survey RespondentsAmong Survey Respondents•• 61% have substance use issues61% have substance use issues•• 56% have mental health issues 56% have mental health issues •• 23% have been hospitalized for mental health issues23% have been hospitalized for mental health issues•• 37% have both substance use and mental health 37% have both substance use and mental health

issuesissues•• 43% have been incarcerated, 30% of whom were 43% have been incarcerated, 30% of whom were

released from jail or prison within the last year released from jail or prison within the last year •• 31% have been convicted of a felony31% have been convicted of a felony

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Complex Life Issues by Housing ModelComplex Life Issues by Housing Model

17.1%29.0%21.5%32.0%Ever Been Hospitalized for Mental Health Issues

29.2%41.5%38.6%45.2%Both Mental Health and Substance Use Issues

56.1%53.8%51.8%56.4%Mental Health Issues

47.4%71.6%70.9%72.6%Substance Use Issues

20.7%43.8%42.7%35.7%Ever Been Convicted of a Felony

32.3%52.7%51.8%51.9%Ever Been in Jail/Prison

IndependentCongregateSupportive

Scatter SiteSupportive

SRO(emergency)

Housing Model

Complex Life Issue

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Current Living ArrangementsCurrent Living ArrangementsObjective: To determine the type of housing occupied by Objective: To determine the type of housing occupied by PWHAsPWHAs..

100.0%Total (n=1789)

35.6%Supportive housing

64.4%Independent housing (includes emergency SRO)

Percent

Percentage of Non-Homeless Survey Respondents in Supportive Housing

Survey Respondents by Current Housing Type

100.0%Total (n=1836)

2.4%Homeless

6.0%Transitional housing or nursing home

13.3%Single Room Occupancy (SRO) Hotel (shared kitchen and/or bath)

78.4%House or Apartment (own kitchen and bath)

Percent

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Income SourcesIncome SourcesObjective: To assess the reliability of the financial resources Objective: To assess the reliability of the financial resources of of PWHAsPWHAs..

4.9%Safety Net public assistance for singles

3.6%TANF public assistance for families

8.3%Paycheck from work

4.8%Peer Stipend

3.0%Veteran’s Benefits

38.4%Supplemental Security Income (SSI)

27.6%Social Security Disability Insurance (SSDI)

17.4%Transportation & nutrition allowance (HASA)

2.2%Retirement Benefit

6.6%Financial Assistance from Family or Friends

53.6%Food Stamps

Percent

Respondents’ Income Sources (n=1706)

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Income Sources by RaceIncome Sources by RaceObjective: To assess the reliability of the financial resources Objective: To assess the reliability of the financial resources of of PWHAsPWHAs..

4.0%8.4%2.0%5.1%—3.6%TANF public assistance for families

9.0%19.3%15.1%7.1%17.6%6.6%Paycheck from work

17.4%21.7%10.4%22.4%14.7%15.5%Transportation & nutrition allowance (HASA)

27.8%21.7%41.4%25.0%32.4%25.1%Social Security Disability Insurance (SSDI)

37.6%20.5%30.3%38.4%29.4%41.7%Supplemental Security Income (SSI)

54.1%57.8%45.4%51.5%44.1%58.8%Food Stamps

TotalOtherWhiteHispanicAsian/ Pacific

Islander

African American

Survey Respondents’ Income Sources by Race (n=1619)

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Income Sources by GenderIncome Sources by GenderObjective: To assess the reliability of the financial resources Objective: To assess the reliability of the financial resources of of PWHAsPWHAs..

4.5%7.9%3.9%6.2%Peer Stipend

3.0%5.3%3.7%1.0%Veteran's benefits

3.5%5.6%1.8%7.5%TANF public assistance

27.8%19.4%32.4%16.9%Social Security Disability Insurance (SSDI)

38.3%36.1%35.2%46.1%Supplemental Security Income (SSI)

53.7%50.0%52.0%58.3%Food Stamps

Total of All Respondents

Trans-genderMaleFemale

Survey Respondents’ Income Sources by Gender

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Interpreting Interpreting Regression AnalysisRegression Analysis•• Regression is a way to find out which predictor variables Regression is a way to find out which predictor variables

help explain a certain response (e.g., what variables help help explain a certain response (e.g., what variables help explain why someone may have a history of explain why someone may have a history of homelessness?)homelessness?)

•• This regression analysis controls for the impact of a This regression analysis controls for the impact of a number of independent variables, such as race & age number of independent variables, such as race & age

•• The “effect” here describes the extent to which a The “effect” here describes the extent to which a predictor variable increases the odds of an outcome predictor variable increases the odds of an outcome (e.g., substance use issues make someone 1.5 times (e.g., substance use issues make someone 1.5 times more likely to…)more likely to…)

•• The tables presented here list only statistically significant The tables presented here list only statistically significant predictor variablespredictor variables

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History of Homelessness History of Homelessness Objective: To assess the stability of the former living arrangemObjective: To assess the stability of the former living arrangements of ents of PWHAsPWHAs..

45.4%49.4%26.6%45.1%20.6%52.7%

Experience staying in shelter and/or a place not intended for sleeping

Total of All RespondentsOtherWhiteHispanic

Asian/ Pacific

Islander

African American

Survey Respondents’ with Experience Staying in a Shelter or a Place Not Intended for Sleeping by Race

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Predictors for HomelessnessPredictors for Homelessness* Ever been homeless* Ever been homeless

1.6Lives with husband, wife or partner

1.6Income from SSI or SSDI

6.5Asian/Pacific Islander2

EffectPredictors of Not Having a History of Homelessness

1 Compared to living in Independent Housing2 Compared to being White

1.7Substance use issues

5.9American Indian or Alaskan Native

1.8Hospitalized for mental health issues

1.6Lives in SRO1

1.6Lives in Scatter Site Supportive Housing1

1.8Criminal history

EffectPredictors of Having A History of Homelessness

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Housing StabilityHousing StabilityObjective: To assess the stability of the current living arrangeObjective: To assess the stability of the current living arrangements of ments of PWHAsPWHAs..

45.5%55.8%68.4%43.6%47.2%37.4%2 years or more

14%5.8%8.3%16.3%22.2%15%Less than 3 months

24%17.5%14.6%24.6%8.4%28.4%3 months to 11 months

16.5%20.9%8.7%15.5%22.2%19.2%12 months to 2 years

100%100%100%100%100%100%Total (n=1836)

Total of All RespondentsOtherWhiteHispanic

Asian/ Pacific

Islander

African American

Survey Respondents’ Length of Stay in Current Housing

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Predictors forPredictors forStability of Current Housing Stability of Current Housing * * Lives in current housing for 2 or more yearsLives in current housing for 2 or more years

1.5Income from SSI or SSDI

2.7Income from Food Stamps

2.7Income from a paycheck

1.04(per year)Age

EffectPredictors of Stability of Current Housing

1.6Lives in Congregate Supportive Housing1

2.4Transportation & nutrition allowance from HASA (DASIS)

1.6Lives in Scatter Site Supportive Housing1

2.3Lives with unrelated individuals3

1.6Male2

2.4Lives in SRO1

EffectPredictors of Instability of Current Housing

1 Compared to living in Independent Housing2 Compared to being female or transgendered3 Compared to living alone

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Satisfaction w/ Living ArrangementsSatisfaction w/ Living ArrangementsObjective: To assess overall satisfaction with living arrangemenObjective: To assess overall satisfaction with living arrangements of ts of PWHAsPWHAs..

100.0%Total (n=1598)

9.8%Very Dissatisfied

19.4%Dissatisfied

50.4%Satisfied

20.3%Very Satisfied

Percent

Survey Respondents’ Overall Satisfaction with Current Living Arrangements

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Predictors for Overall Satisfaction Predictors for Overall Satisfaction with Current Housingwith Current HousingSatisfaction= Satisfied or Very Satisfied Satisfaction= Satisfied or Very Satisfied Dissatisfaction= Dissatisfied or Very DissatisfiedDissatisfaction= Dissatisfied or Very Dissatisfied

1.9Lives in Congregate Supportive Housing1

2.8Lives in Scatter Site Supportive Housing1

EffectPredictors of Overall Satisfaction with Current Housing

1 Compared to living in Independent Housing2 Compared to having HIV without symptoms3 Compared to living alone

1.6Has AIDS

2.2Lives with unrelated individuals3

1.1Crowding

3.0Lives with parents or family3

1.8Has HIV with symptoms2

1.5Ever been homeless

1.7Hospitalized for mental health issues

EffectPredictors of Dissatisfaction with Current Housing

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Housing PreferencesHousing PreferencesObjective: To determine whether Objective: To determine whether PWHAsPWHAs are satisfied with their current living arrangements.are satisfied with their current living arrangements.

100.0%Total (n=1779)

53.2%Move to another place

46.8%Stay where you are

Percent

Right now, would you rather…?

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Housing PreferencesHousing PreferencesObjective: To determine whether Objective: To determine whether PWHAsPWHAs prefer congregate housing or living alone.prefer congregate housing or living alone.

100.0%Total (n=1753)

7.6%Share an apartment or house with other people (roommates)

92.4%Have an apartment/house of your own, even if it means paying more

Percent

If you had to move next month, would you rather…?

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Housing PreferencesHousing PreferencesObjective: To assess the importance of onObjective: To assess the importance of on--site services availability to site services availability to PWHAsPWHAs..

100.0%Total (n=1627)

42.4%Move into a building where services are provided on-site

57.6%Move into an apartment/house without services provided on-site

Percent

If you had to move next month, would you rather…?

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Housing PreferencesHousing PreferencesObjective: To identify the preferences of Objective: To identify the preferences of PWHAsPWHAs for the attributes of others sharing their living for the attributes of others sharing their living space.space.

100.0%Total (n=1592)

76.1%Live in a housing program that includes people without HIV/AIDS

23.9%Live in a housing program only for people with HIV/AIDS

Percent

If you had to move next month, would you rather…?

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Housing PreferencesHousing PreferencesObjective: To identify Objective: To identify PWHAsPWHAs’ preferences for neighborhood attributes.’ preferences for neighborhood attributes.

(1=Not Very Important, 4=Very Important)

2.1Living close to a drug treatment center

2.1Living close to child care, day care or schools

2.3Living with people of the same racial or ethnic background

2.3Living close to a substance use support group, like AA or NA

3.0Living close to friends or family

3.6Living close to shopping areas

3.6Living near medical or other services, such as a doctor or counseling

3.8Access to public transportation

3.9Living in a safe neighborhood

Average

If you had to move next month, how important is…? (n=1836)