Publication - The CT Coalition to End Homelessness

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Rapid Re-Housing

Research Evidence and Beyond

Jamie Taylor

Cloudburst Consulting Group

Connecticut Coalition to End Homelessness Training Institute

May 8, 2014

Objectives – Rapid Re-Housing

Overview

1) RRH - Results from across the nation

2) RRH - The Philadelphia Story

3) RRH – Promising Practices

4) RRH – Local RRH Evaluation

Did RRH help decrease risk of homelessness in CT 2010 –2013?

4316

Homelessness in Connecticut

2010-2013

Total Homeless Population

Persons in Famly Households

Persons in Individual Households

4456 4448

4209

2993 3071

2905

3089

1385 1323 1303 1347

2010 2011

Source: HUD CoC Reports

2012 2013

RRH Success Across the Country

Region/ Program # of RRH

Households

Support Services for

Veterans & Families

(SSVF)

State of Michigan

RRH program

(HH) served

13,766

( 2011 and 2012

SSVF RRH HHs )

4,251

1,286 Philadelphia HPRP

RRH program

Utah – The Road Home

HPRP RRH program

Connecticut HPRP

RRH program

D. C. Community of

Hope RRH program

1,100

3,100

117

Time- frame of analysis

12 mos. after exit RRH

2010 - 2012

Return to

Homeless Rate

(date assessed)

Singles-15.7%

Families-10.1%

(Feb.2014)

12%

(Dec. 2013)

10/09 – 5/12

2010-2012

2010 - 2012

2011 - 2013

13.6%

(Aug.2013)

13%

(2013)

8%(avg. over 3 yrs)

(Sept. 2013)

8%

(2013)

NAEH Evaluation of 7 CoC Programs,

Average RRH cost = $4,000/family

1.

2.

3.

4.

5.

6.

7.

8.

9.

10.

Georgia Study of Reoccurrence Rates –

Rigorous method to control for differences, found factors most correlated with a return to homelessness

Research question: Which client, program, geographical characteristics exert greatest influence on the likelihood that someone returns to homelessness?

Results: 9000 enrollments, 28% return to homelessness. Return Risk Factors:

Was not in a Rapid Re-Housing program

Had a history of homelessness

Went to a “temporary” destination

Was Non-Hispanic / Non-Latino

Was Non-White

Had a disabling condition at program exit

Program was in a non-rural county

Was male

Was unaccompanied

Was not with a teenage male

Key Finding:

Exits from

Shelter 4.7 times;

Tran. Housing 4.0 times more likely to return to homelessness than exits from Rapid Re-Housing

Source : Jason Rodriguez, GA Dept of Community Affairs

Research Aims for Rapid Re-Housing

Can we answer the counterfactual?

RESEARCH AIM for RRH Policy:

Research for RRH policy goal is to estimate whether RRH is the specific element responsible for decreasing homelessness. Counterfactual:

What would have happened to RRH households if there was no RRH?

WHY RESEARCH DESIGN IS NECESSARY:

When households who participate in RRH are different from households who do not, need to control for differences using research design. Differences in RRH and non-RRH households show up as confounders: i.e. RRH enrollment strategies differences by case manager, by program; length of RRH assistance; Housing market variability

Gold Standard = Random Control Trial = assess causal effect of RRH

RESEARCH DESIGN WITHOUT RCT

With no RCT, matching methods can be used to create comparison groups that look alike, controlling for confounding differences. Propensity score matching now widely applied, probability of participation estimated using observable variables.,

Specific Research Questions for

Philadelphia Rapid Re-Housing Study

Does Rapid Re-Housing improve housing stability for formerly homeless households by decreasing the risk of a return to homelessness?

Does RRH help to improve household income?

Was the HPRP RRH policy effective in decreasing the risk of homelessness?

Dataset: All Households that entered

Philadelphia shelters 10/2009-5/2012

Propensity Score Match

7,177

Households

10/09 – 5/12

8 cases discarded

4716 cases discarded

1,286 Non-

RRH

Households

1,169 RRH

Households

PSM Result –households in each group similar, standard means balanced

RRH Treatment……….1169 households

Non-RRH Control…...1286 households

Each variable included in PSM represents HMIS data indicator correlated with risk of homelessness.

(Disabling condition excluded based on high correlation with SSI-SSDI)

Standard means comparison, t-tests performed on PSM matched groups, strong PSM model, households similar

Variables

Monthly 1.00 income @ sheltr entry

.00

MarriedBinary 1.00

.00

GenderBinary 1.00

.00

HSGradBinary 1.00

Family Size

.00

1.00

.00

HHAge18_25 1.00

.00

HHAge26_59 1.00

.00

HHAge60plus 1.00

SSI_SSDI

.00

1.00

# times in shelter (>30 days)

.00

1.00

.00

N

1169

1286

1169

1286

1169

1286

1169

1286

1169

1286

1169

1286

1169

1286

1169

1286

1169

1286

1169

1286

Mean

730.50

718.78

.0607

.0539

.5774

.5958

.5346

.5672

2.25

2.27

.2198

.2434

.7305

.7113

.0488

.0445

.2541

.2447

2.13

1.85

PSM Analysis:

Return to Homelessness Results

Comparison

Group

Rapid Re-

Housing

Group

Non- RRH

Group

Total

#

Households

1,169 households

1,286 households

2,455 cases

% Returned to

Homelessness

13.6%

39.4%

Odds ratio: The odds of returning to homelessness were 42% higher for households that did not receive RRH compared to households that did receive RRH

Washington State Evaluation – Robust matching model RRH and employment

Washington State 2010 Evaluation - Rapid Re-Housing Impacts on Employment*

*RRH clients were 1.25 times more likely to be employed, and, on average, earned $422 more annually than their counterparts who did not receive RRH.

RRH Promising Practice:

King County RRH Pilot

Goal – To move 350 homeless families in King County into rental housing by December 31, 2014

Assessment: Short-term financial assistance and temporary housing-focused supports, including employment and training services,

RRH funding: $3.1 million over 2014. Funders and planning partners include King County DCHS, City of Seattle Human Services

Department, United Way of King County, Building Changes and the

Seattle and King County Housing Authorities.

RRH partnerships: Employment Navigator program. The navigators will provide critical supports to assist in gaining employment. Families may continue working with the employment navigator after rapid re-housing assistance

RRH Promising Practice:

Massachusetts Fireman Foundation

Secure Jobs Pilot

Goal – Offer employment assistance to families transitioning from shelter into housing with Rapid Re-housing

Assessment: Participating agencies enrolled 506 formerly homeless parents in the Secure Jobs program from a pool of 5,400

Massachusetts families receiving rental subsidies

RRH funding: Fireman Foundation awarded $1.5 million in grants to encourage housing, employment, and other agencies to work together provide comprehensive services to help low-income families regain financial independence and stay out of the shelter system.

RRH partnerships: Collaboration with workforce-training organizations with employer partners. Secure Jobs participants employed by large retailers, hospitals and nursing facilities, hotels and hospitality industries, social service agencies, and manufacturing,

RRH Promising Practice:

Tacoma Housing Authority

Goal – Serve Homeless households with children. Housing Authority launching pad for family success

Assessment: Tailor the availability, type, amount, and duration of assistance to the need for family housing

RRH funding: Use Tacoma Housing Authority Moving to Work flexible demonstration status (HUD) for RRH assistance

2013 - $80.00 for 19 families

2015 - $650,000

 2017 - $1million

RRH partnerships: Schools and the child welfare system

RRH Promising Practice:

Utah -

The Road Home

Goal – Exit family households out of shelter to stable housing as soon as possible

Assessment: Of 659 families entered Salt Lake County shelter 2013

572 families moved out:

62% of all families move out with RRH

5% families moved into supportive housing,

33 % of families moved out of shelter with no financial assistance

Reassessment: Progressive Engagement

RRH funding: Utah uses state TANF $$ for first four months of

RRH, then ESG and other RRH funding if household still needs RRH

RRH partnerships: TANF, State Department of Workforce

Services to increase employment income

Recommendations for the Hennepin

County Family Shelter System 2013

Summary of Recommended Practices

1.

Collaboration and communication are key to providing not only a positive environment for families experiencing homelessness, but also provide better outcomes for families.

2.

3.

Streamlining the movement for a family from the point in time in which they seek out shelter to the point that they are stably housed reduces inefficiency and better serves our community.

Using existing resources provides the largest area of

opportunity to make immediate changes and see an immediate reduction in family shelter use.

4.

Targeting services based on individualized needs of the

family is a more efficient use of resources, and provides the best outcomes for families.

RRH appears to effectively decrease risk of a return to homelessness. Why ?

Maybe….RRH housing case management services access landlord partnerships, find new viable housing opportunities not previously on the radar for very poor households with housing barriers

Maybe….time-limited housing stabilization assistance provides a self-determination boost, motivating efforts to do “whatever it takes” to stay out of homelessness

Maybe… RRH works on the same fundamental principle as Housing First - -CLIENT CHOICE. By putting housing first in the service equation, clients access all three critical aspects of self-determination: autonomy, competence, and connectedness

Multiple factors in every region impact

RRH outcomes

Variable influencing factors in every RRH region:

Housing market – % affordable rents

Network of Landlord partnerships

Capacity to leverage TANF / HOME/ other Rental Assistance

Funds

ESG funding levels

Belief in RRH approach

Coordinated Assessment Tools

Mass movement out of state or HMIS region

Growing need for additional RRH research evidence

AND additional investment in affordable housing.

RRH does not end poverty.

Local HMIS RRH Evaluation – Five Steps

1. Define Rapid Re-Housing Success in own community

2. Use HMIS data indicators

Return to Homelessness by cohort/group

Length of stay/time homeless

Reduction in shelter households over time

Average Shelter costs per day

Average RRH assistance costs per day

3. Establish comparison group using matching method

4. Analyze Data – Courageously accept data shortcomings

5. Add results to emerging RRH evidence

Strong Performance Measurement

Driver Diagram

Mapping out a theory of change is key to monitoring RRH performance and continuous quality improvement.

Three questions:

1) What is the aim of your RRH intervention?

 What are you seeking to improve?

2) What are the necessary conditions for achieving RRH aim

What strategies will be necessary to achieve your RRH aim?

How will you know you are successful with each strategy?

3) What will it take to implement each primary strategy?

Driver Diagram for Expanded RRH

Theory of Change - Change Metrics

Educate community and stakeholders on

RRH success by 6/14

Expand RRH subsidies to 1000 households/year by 12/2014

Increase RRH funding sources beyond ESG

$$ by 9/14

Educate and recruit

RRH providers -

Increase RRH providers 25% by

10/14

Driver Diagram – Housing Stability

Theory of Change

Housing Tenancy

Improvement

Fund

Support RRH households long-term housing stability goals

-

500 households/year by 12/2015 decrease mobility

Landlord /

Tenancy Support

Network

Expand use of long-term housing subsidies and RRH bridge

Thank you!

Jamie Taylor

Cloudburst Consulting Group jamie.taylor@cloudburstgroup.com

Phone # 860-716-7392

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