1 Performance Measurement of Homeless Systems Tom Albanese Abt Associates
2 Learning Objectives Participants will review and understand Performance measures identified in HEARTH, including the performance criteria for high performing communities Which programs impact each measure and how to use the HMIS data to calculate performance Approaches to using performance data for system management and performance improvement
3 Why Measure Performance Across the CoC? Ensure common understanding of system intent and goals, along with the programs that make up the CoC Understand how individual programs (via outputs ) result in positive change for persons served ( outcomes ) Understand how individual programs impact overall CoC performance Understand how well CoC prevents & ends homelessness Identify areas for improvement
4 Shifting Federal Performance Emphasis McKinney-Vento before HEARTH Act CoC: performance measurement focused on aggregated HUDfunded project outcomes Permanent housing at exit (TH projects) Housing tenure (PSH projects) Employment at exit (All) ESG: performance measurement focused on sub-recipient outputs (CAPER)
5 Shifting Federal Performance Emphasis Homelessness Prevention & Rapid Re-Housing Program (HPRP) Performance measurement focused on grantee outputs/outcomes Number of persons/households served Permanent housing at exit Change in income entry to exit McKinney-Vento as amended by HEARTH Act CoC: performance measurement will focus on CoC performance as a system ESG: performance will impact CoC performance
6 Audience Quiz 1: 1: What is one of the key performance indicators specified Response options: in the HEARTH Act? Reduction in unsheltered population Length of time individuals and families remain homeless Increased self-sufficiency of persons who are homeless Increased number of persons who can recite Justin Bieber song lyrics
7 HEARTH Act: CoC Performance Indicators Selection Criteria Length of time homeless Recidivism (subsequent return to homelessness) Access/coverage (thoroughness in reaching persons who are homeless) Overall reduction in number of persons who experience homelessness Job and income growth for persons who are homeless Reduction in first time homeless Other accomplishments related to reducing homelessness
8 HEARTH Act: CoC Performance Indicators Selection Criteria If serving families with children and youth defined as homeless under other Federal statutes: Preventing homelessness among families with children and youth who are at highest risk of becoming homeless, or Achieving independent living in permanent housing among such families with children and youth, especially those who have a history of doubled-up and other temporary housing situations or are living in a temporary housing situation due to lack of available and appropriate emergency shelter
9 HEARTH Act: Performance Targets for High Performing CoCs Mean length of episodes of homelessness < 20 days OR > 10% less than prior year for persons in similar circumstances Recidivism < 5% within the next 2 years OR Decrease of > 20% over prior year for persons in similar circumstances within next 2 years
10 HEARTH Act: Performance Targets for High Performing CoCs Service system participation Actively encourage homeless individuals and families to participate in homeless assistance services available in geographic area Data system participation Include each homeless individual or family who sought homeless assistance services in the local HMIS Effectiveness of previous activities in Reducing the number of individuals and families who became homeless
11 HEARTH Act: Performance Targets for High Performing CoCs Effectiveness in Preventing homelessness among families with children and youth who are at highest risk of becoming homeless OR Achieving independent living in permanent housing among families with children and youth who are at highest risk of becoming homeless, especially those who have a history of doubled-up and other temporary housing situations or are living in a temporary housing situation due to lack of available and appropriate emergency shelter
12 What is Performance Measurement? Performance measurement is a process that systematically evaluates whether your efforts are making an impact on the clients you are serving or the problem you are targeting.
13 Performance Measurement Terms Performance Indicators: Output: what a program or system does or produces (e.g. number served, cost/household, length of stay, etc.) Outcomes: what is gained or changed as a result of output related to client knowledge, skills, behaviors or conditions (e.g. housing destination, recidivism, income changes, etc.) Performance Target: percentage or numeric goal set for an indicator
14 Performance Measurement Terms Difference between system and program performance targets Program goals: may vary depending on target population, program purpose, services, etc.; use for measuring program performance individually, compare to similar programs System goals: reflect aggregate performance; measure of system impact; use for measuring system achievement of CoC goals, compare to other communities
15 Establishing a CoC Performance Measurement Structure 1. Identify & Develop Performance Indicators 2. Set Performance Targets 3. Measure Performance 4. Report Progress 5. Identify and Make Improvements
16 Identify Performance Indicators Set Performance Targets Make Improvements Measure Performance Report Progress
17 1. Identify & Define Performance Indicators Key Considerations: What impact is the CoC trying to make? Primary: prevent and end homelessness Secondary: increase well-being, stability during and after What indicators best reflect and convey CoC impact and achievement of the CoC s strategic plan? What indicators are used by CoC funders (public/private)? Are such indicators already defined and operationalized? What is beyond system/program control? What programs affect an indicator and can therefore also be measured on the indicator? Are the right programs collecting the right data? Is data quality sufficient?
18 CoC Impact: Key Considerations Prevention/Diversion Are fewer people experiencing homelessness for the first-time? Are only persons who have no safe, appropriate housing option being admitted to shelter? Incidence of homelessness Are overall rates of homelessness declining? Is street homelessness declining? Is chronic homelessness declining? Length of stay in system, across all homeless programs - Do people stay homeless for shorter periods of time?
19 CoC Impact: Key Considerations Successful resolution of housing/homeless crisis Do people resolve their housing/homeless crisis successfully by maintaining/obtaining permanent housing? Are people successfully connected to community-based supports? Repeat incidents of homelessness (recidivism) Are repeat occurrences of homelessness avoided or declining?
20 CoC GOALS PREVENT HOMELESSNESS END REDUCE
21 Identifying Key CoC Indicators: HEARTH Remember, HEARTH identifies the following indicators to be used by HUD: Length of time homeless Recidivism (subsequent return to homelessness) Access/coverage (thoroughness in reaching persons who are homeless) Overall reduction in number of persons who experience homelessness Job and income growth for persons who are homeless Reduction in first time homeless Other accomplishments related to reducing homelessness Prevention/independent living for families with children and youth defined as homeless under other federal programs
22 Developing a Performance Indicator: Key Elements For each indicator (output or outcome), identify the following: Purpose: identifies the reason for the indicator Programs: identifies the programs and/or system for which an indicator applies Definition: defines the indicator Program Goal-Setting Methodology: basis for setting goals around the indicator Reporting Methodology: provides detailed description of how indicator is calculated
23 Example Performance Indicator: Length of Time Homeless Purpose: A reasonably short length of time homeless indicates system and program success in rapidly re-housing persons who are homeless. It can also indicate efficiency related to turnover of beds which is essential to meet system demand for emergency shelter. Programs: Street Outreach, Emergency Shelter, and Transitional Housing Programs Definition: The average cumulative number of days households receive outreach services, emergency shelter and transitional housing as measured by their sum total days of program participation. For each program enrollment, this is measured from their first program entry to exit or last day of report period.
24 Example Performance Indicator: Length of Time Homeless Program Goal-setting methodology: Meet or below CoC target. An average length of time homeless that is less than the CoC target is considered positive. Reporting methodology: Sum (Per enrollment: household exit date or report end date Entry date) / the number of total distinct households served within the report period.
25 Which Programs are Accountable? Who to Count? For HEARTH indicators, HUD will define each and determine a common reporting methodology. Be clear if applicable at program or person-level
26 Example of Performance Indicators by Program Type Prevention Outreach Emergency Shelter Transitional Housing Rapid Re-Housing Permanent Supportive Housing Number Served Successful Housing Outcomes Average Length of Stay Recidivism Successful Income Outcomes Direct Client Assistance Utilization Occupancy
27 Measurement Methodology Considerations Specify all parts of query/calculation: Programs Across a program type (e.g., all outreach, all PSH programs) All programs Programs that serve a specific subpopulation Clients (de-duplicated across programs) All exiters All participants All currently enrolled Those who stayed > 6 months Data Elements Same HMIS elements as program measures Need rules to reconcile data across programs if client was enrolled in more than one program Timeframe Define date range Specify date field (entry date, exit date, placement date, assessment date, etc.)
28 Using HMIS Data for Measurement Indicators can be calculated consistently for all clients if, and only if: Staff are collecting the required information at entry, exit and any applicable interim data collection points for each client. Staff are recording this information into the HMIS in a timely fashion (e.g., 4 th business day of every month for prior month). The target population is clearly defined. Programs clearly define what constitutes a program enrollment, there are clear policies/procedures, and staff consistently apply. The program goals are clearly defined for the target population.
29 Using HMIS Data for Measurement Collecting and entering data in accord with HUD s HMIS Data Standards (updated March 2010) and having quality data are pre-requisites for performance measurement
30 2. Set Performance Targets Key Considerations: How is the CoC currently performing? Individual programs? How are other communities performing on the same or similar indicators? What is reasonable and achievable but requires effort to achieve? What are longer term goals and how can interim performance targets be used to help move the CoC toward goal achievement? What targets have funders (public/private) set for the CoC? Programs within the CoC? For individual programs, how will the target population served and the services provided to the target population affect performance? How will the local economy and housing market affect performance? Should performance targets be adjusted for certain programs based on target population, services provided and/or other factors?
31 Approach to Setting Targets Adopt longer-term system goals and interim targets Examine past program and system performance data Account for state and federal goals (e.g., HPRP, HEARTH) Account for local goals related to achievement of long-term impact Establish program performance expectations Negotiate with agencies Incorporate into CoC/funding agreements Identify quarterly, semi-annual, annual goals Account for degree to which a program type impacts overall performance Determine response to low performance up front
32 Example CoC 3 Year Goals Decrease PIT count by 30% overall (once consistent methodology used) Increase emergency shelter diversions to 20% Reduce length of time homeless to 30 days Increase income of assisted households by 25% Increase permanent housing exits to 70% Reduce recidivism to 5% Set different goals for different sub-parts of the system (e.g., homelessness prevention, homeless outreach, men s emergency shelter, etc.) and/or programs that serve certain types of clients (e.g., different goals for severely disabled persons)
33 Example of Setting a Performance Target: Length of Time Homeless System Goal: reduce average length of time homeless to 30 days by end of 2013 Current CoC performance: 45 day average CoC Performance Targets: 2011: 40 days 2012: 35 days 2013: 30 days Programs that impact this goal: Street Outreach, Emergency Shelter, Transitional Housing Not all program types impact goal equally
34 Example of Setting a Performance Target: Length of Time Homeless CoC Performance Targets by Program Type (average length of program stay/participation) Street Outreach Emergency Shelter Transitional Housing Current Performance 51 days 33 days 115 days 2011 Target 48 days 30 days 105 days 2012 Target 44 days 28 days 100 days 2013 Target 38 days 25 days 95 days
35 3. Measure Performance Key Considerations: Is HMIS system ready? Sufficient coverage, data quality for period examined? Have reporting methodologies been tested? Are results valid, reliable? How often will performance be measured? How often do funders require performance to be measured?
36 Example of Measuring Performance: Length of Time Homeless Key HMIS Data Elements to Measure Length of Time Homeless Program Descriptor Data Elements: Program Type (outreach, emergency shelter, transitional housing) Universal Data Elements: Name, SSN, DoB (depending on de-duplication approach) Program Entry Date Program Exit Date Personal Identification Number Household Identification Number
37 Example of Measuring Performance: Length of Time Homeless Build query based on indicator reporting methodology Sum (Per enrollment: household exit date or report end date Entry date) / the number of total distinct households served within the report period. Household shelter stay examples: Household A LOS = 45 days Household B LOS = 15 days Entry 12/15/2010 Exit 1/30/2011 Entry 12/15/2011 Exit 1/30/2012 Start 1/1/2011 Report period End 12/31/2011
38 Example of Measuring Performance: Length of Time Homeless Program performance example: Household A LOS = 45 days Household B LOS = 15 days Entry 12/15/2010 Exit 1/30/2011 Entry 12/15/2011 Exit 1/30/2012 Shelter Program Entry 2/15/2011 Household C LOS = 23 days Exit 2/28/2011 Entry 8/1/2011 Exit 8/11/ Households Total days = 83 Avg LOS = 28 days Start 1/1/2011 Report period End 12/31/2011
39 Example of Measuring Performance: Length of Time Homeless System performance example: Household A LOS = 45 days Household B LOS = 15 days Shelter Program Transitional Housing Program Entry 12/15/2010 Start 1/1/2011 Exit 1/30/2011 Entry 2/15/2011 Entry 2/1/2011 Household C LOS = 23 days Exit 2/28/2011 Household A LOS = 150 days Entry 8/1/2011 Exit 7/31/2012 Report period Entry 12/15/2011 Exit 8/11/2011 End 12/31/2011 Exit 1/30/ Households Total days = 233 Avg LOS = 78 days
40 Caveats of System Performance Measurement & Analysis May require a lag in time even beyond the client s completion of program involvement Measuring recidivism requires a certain period of time (e.g. 3, 6 or 12 months) after program exit in which return to the system might occur If the HMIS only includes data from a subset of programs, the system analysis will provide an incomplete picture Perceived decline in recidivism may only reflect absence from participating providers as opposed to not being homeless anymore
41 4. Report Progress Key Considerations: How will CoC performance be reported? CoC Dashboard Who will receive CoC performance reports? Providers CoC governing group Local governments Other public/private funders Other CoC/community stakeholders How often will performance be reported? Quarterly, semi-annually, annually? Will positive and/or negative achievement be highlighted?
42 Example of Performance Reporting: Columbus, Ohio Annual Evaluation System & program measures compared to period goal Used to help determination annual funding Data mostly derived from HMIS Programs scored as: High: no less than one not achieved Medium: half or more achieved Low: less than half achieved Quarterly System & Program Indicator Reports System & program performance measures compared to period goal Used to identify system(s) and program(s) of concern, need for intervention Annual Community Report on Homelessness Annual and trend data Point-in-time count data Reports issued to CSB Board of Trustees, CoC Steering Committee, funders,
43 Example of Performance Reporting: Columbus, Ohio Family Shelter System Households Served Successful Housing Outcomes NumberServed FY06 Q3 FY07 Q3 FY08 Q3 %Successful 100% 75% 50% 25% 0% 66% 70% 69% FY06 Q3 FY07 Q3 FY08 Q3 Third Quarter Report Period Third Quarter Report Period Average Length of Stay (Days) Average Nightly Occupancy #of days FY06 Q3 FY07 Q3 FY08 Q3 Third Quarter Report Period NightlyOccupancy#s FY06 Q3 FY07 Q3 FY08 Q3 Third Quarter Report Period
44 5. Make Improvements Key Considerations: How can performance reports be used to in a performance improvement framework? Continuous quality and performance improvement What gets measured, gets done Performance data should inform Annual HUD CoC project selection process Local public/private funding decisions Identification of system needs/gaps Public policy development CoC goal adjustment
45 Audience Quiz 2: 2: What is one of the key steps to establishing a CoC performance measurement structure? Response options: 1. Ensure every program that provides any type of help for homeless persons is entering data in HMIS 2. Set-up a an independent client database for each CoC program 3. Define performance indicators 4. Test on a loved one and see if they still love you
46 Additional Resources: What Gets Measured, Gets Done: A Toolkit on Performance Measurement for Ending Homelessness HUD Homeless Resource Exchange Community Shelter Board
May 2015 System Performance Measures An introductory guide to understanding system-level performance measurement Version 2 0 TABLE of Contents I. Introduction... 0 Key Terms... 2 II. The McKinney-Vento
Resource Allocation and Monitoring Strategies Cynthia Nagendra Jason Satterfield HomeBase Laura Gillis Center for Social Innovation Vicki Judice Unity New Orleans Overview A. Why Monitor? 1. Changes to
Coalition for the Homeless of Houston/Harris County Homeless Management Information System (HMIS) HMIS Data Quality Plan I INTRODUCTION This document describes the Homeless Management Information System
Overview The Ohio Balance of State Homeless Management Information System Data Quality Standards The Ohio Balance of State Continuum of Care (BOSCOC) for its Homeless Management Information System (HMIS)
A Quick Summary for Domestic Violence Advocates of the March 2010 HMIS Final Regulations The final regulations for HMIS were released in March 2010 and these regulations are generally a positive step in
CoC Name: Portland CoC CoC Number: ME-502 High Score: 143.25 Low Score: 45.00 This chart indicates the maximum amount of points available for each scoring category and the actual score the CoC received.
Data Quality Plan Louisiana Service Network Data Consortium November 2nd, 2012 Developed by: LSNDC Data Quality Committee Data Quality 1.0 Definition: Data Quality Plan A data quality plan is a document
HUD s Homeless Assistance Programs A Guide to Counting Sheltered Homeless People Third Revision January 2012 U.S. Department of Housing and Urban Development Office of Community Planning and Development
Promising Strategies: Mercer County Board of Social Services and Mercer Alliance to End Homelessness Mercer County, New Jersey Overview The Mercer County Board of Social Services (MCBOSS) and Mercer Alliance
TABLE OF CONTENTS AND CHECKLIST Lead Applicant name: Provider or Sub-recipient named in this application: This is application is # of a total # of applications being submitted by this lead applicant. Lead
U.S. Department of Housing and Urban Development Community Planning and Development Special Attention of: All CPD Directors HUD Field Offices HUD Regional Offices All ESG Formula Recipients All Continuums
Defining & Recording Chronic Homelessness Technical Assistance Training Series March 27 th, 2015 INTRODUCTIONS Presenters: Lisa Mayse-Lillig, Vice President of Programming Dave Thomas, Director of Programming
Arizona Balance of State Continuum of Care Data Quality Plan Quality Data Assures Quality Decisions Acknowledgements: Symmetric Solutions, Inc. prepared this document under the direction of the Arizona
Emergency Solutions Grants Program Eligible Expense Guide State of West Virginia Office of Economic Opportunity 2015 Table of Contents 1. Street Outreach 1.1 Engagement.2 1.2 Case Management.2 1.3 Emergency
Implementing the HEARTH Act: The Emergency Solutions Grants (ESG) program October 16 th, 2012 Presenters / Virtual Help Desk Presenters: Michael Roanhouse, Division Director, SNAPS Susan Ziff, ESG Team
Changes in the HUD Definition of Homeless On January 4, 2012, final regulations went into effect to implement changes to the U.S. Department of Housing and Urban Development s (HUD s) definition of homelessness
Coordinated Assessment-Centralized Intake System (CA-CI) for Homeless Services and Housing System Assessment Part I Commissioned by 2-1-1 Orange County November 2014 Orange County Coordinated Assessment-Centralized
EMERGENCY SOLUTIONS GRANTS PROGRAM (ESG) ELIGIBLE EXPENSE GUIDE DECEMBER 2012 STATE OF CALIFORNIA EMERGENCY SOLUTIONS GRANT ELIGIBLE EXPENSES DEPARTMENT OF HOUSING AND COMMUNITY DEVELOPMENT DIVISION OF
2016 Homeless Count Results Los Angeles County and LA Continuum of Care Published by: Los Angeles Homeless Services Authority May 4, 2016 1 Why Do We Count? The Homeless Count seeks to answer key questions
SWAP (System-Wide Analytics and Projection) Tool: 2016 Emergency Shelter Program Performance Analysis The Orange County Continuum of Care (CoC) began work on re-designing the homeless system of care by
HMIS Data Standards DATA DICTIONARY Released August, 2016 U.S. Department of Housing and Urban Development Version 5.1 Contents SUMMARY OF CHANGES...4 HMIS DATA DICTIONARY OVERVIEW...5 Introduction...5
July 31, 2013 2014 SOUTHERN NEVADA CONTINUUM OF CARE (COC) LOCAL PROJECT APPLICATION INSTRUCTIONS APPLICATION VIA ZOOM GRANTS LOCATED AT: WWW.HELPHOPEHOME.ORG About Help Hope Home GENERAL INFORMATION Help
CT BOS CONTINUUM OF CARE CoC Program Participant Homelessness Verification Sample Third Party Documentation of Chronic Homelessness updated 8/14/2015 These sample letters can be used by CoC funded Permanent
2014 Point-in-Time Count Methodology Guide Table of Contents Acknowledgements... 1 About this Document... 2 1. Introduction to the PIT Count Methodology Guide... 3 1.1 Purpose... 3 1.2 The Importance of
VA DATA GUIDE - FY2015 Data Collection and Reporting Guidance for SSVF Grantees PREPARED FOR Department of Veterans Affairs Technology Acquisition Center 260 Industrial Way West Eatontown, New Jersey 07724
HOUSING FIRST MERCER COUNTY, NEW JERSEY Marygrace Billek, LCADC, LCSW Director of Human Services A Little Background In 2008, Mercer Alliance convened its government partners in a year-long study process.
Using HMIS Data to Benchmark Plans to End Homelessness K. Sujata, Chicago Continuum of Care September 14th and 15th, 2004 Chicago, IL Sponsored by the U.S. Department of Housing and Urban Development 1
Submitted by: Orange County Contact: Sumit Sapra, 714-541-7782, Sumit.Sapra@ssa.ocgov.com Topic: Senate Bill (SB) 855: Housing Support Program 1. Describe the problem of homelessness and housing instability
NNEDV NATIONAL NETWORK TO END DOMESTIC VIOLENCE HEARTH ACT 2009 AND DOMESTIC VIOLENCE VICTIMS AND PROGRAMS In May 2009, Congress passed the HEARTH Act (Public Law 111-22, title IV of the McKinney-Vento
Rhode Island Homeless Management Information System Data Quality Standards Special thanks to Kathleen Freeman for her guidance and toolkit (From Intake to Analysis: A Community Toolkit for Developing and
Introduction to Coordinated Entry National Conference on Ending Family and Youth Homelessness 1 Key Considerations for Developing and Implementing Coordinated Entry Marcy Thompson Senior Advisor, Office
Chicago Continuum of Care (CoC) Orientation April 25, 2011 1pm to 4pm Haymarket Center (20 N. Sangamon) Sponsored by: Chicago Alliance to End Homelessness & Chicago Planning Council on Homelessness HMV
MIAMI-DADE COUNTY, FL, HPRP-FUNDED PREVENTION PROGRAM In Miami-Dade County, HUD s Homelessness Prevention and Rapid Re-housing program (HPRP) funded the County of Miami-Dade (through the Miami-Dade County
Closing the Front Door: Creating a Successful Diversion Program for Homeless Families TABLE OF CONTENTS I. Introduction.Page 1 II. Table 1: Prevention, Diversion, and Rapid Re-housing Page 2 III. Assessing
DEPARTMENT OF HOUSING AND URBAN DEVELOPMENT [Docket No. FR-5934-N-01] Notice of Fiscal Year (FY) 2016 Opportunity to Register and Other Important Information for Electronic Application Submission for the
A summit on integrating employment and housing strategies to prevent and end homelessness Community Profile CHICAGO Chicago is working on our second Plan to End Homelessness Plan 2.0 A Home for Everyone.
NJ 6 Counts! Bergen County s 6 Point-In-Time Count of the Homeless January 6, 6 Table of Contents I. Introduction... NJ Counts 6... Acknowledgements... This Report... II. Data Collection and Methodology...
U.S. Department of Housing and Urban Development Office of Community Planning and Development Special Attention of: All Secretary's Representatives All Regional Directors for CPD All CPD Division Directors
HUDHRE.info TIPS AND TRICKS FOR USING THE HRE VIRTUAL HELP DESK The following is a collection of tips and tricks for using the HUD HRE Virtual Help Desk. Using these suggestions will facilitate the Help
HOMELESSNESS PREVENTION: KEY PRINCIPLES AND BEST PRACTICES DECEMBER 4, 2014 INTRODUCTION Homelessness prevention is considered not only the most humane, but also the most cost- effective way to help those
General Program Requirements for ESG Presenters: - Michael Roanhouse - Margaret McFaddin - Janet Pershing Resource Advisors: - Brett Gagnon - Fred Berman Ready, SET, Go! Webinar Series Office of Special
New Hampshire HMIS Governance Model The NH-HMIS governance model: Defines the relationship between the HMIS implementation and the CoC; Establishes organizational requirements for the HMIS implementation;
Promising Strategies: Utah Workforce Services and The Road Home A Public/Private Partnership to End Family Homelessness Salt Lake City, Utah Overview A partnership between the Utah Department of Workforce
Hello and welcome to the HUD Broadcast on Leasing and Rental Assistance with a focus on rental assistance. This presentation will provide information on rental assistance under the Continuum of Care Program.
PERFORMANCE BASED CONTRACTS EXAMPLES FROM COLUMBUS, OHIO Columbus, Ohio has consistently performed well on outcomes in the HEARTH Act, including reducing length of homelessness, new, repeat, and overall
Rapid Rehousing Programs in the District of Columbia CoC Tom Fredericksen, Senior Policy Analyst Jose Lucio, Program Analyst David Tweedie, HMIS Coordinator Rapid Rehousing Program Focus and Intent Focus
HMIS System Admin Training Presenter: Kelly Pickell HMIS Specialist & Quality Assurance Housekeeping Issues Please Sign-In on the back desk. You will not need a computer for this training. Discussion and
2015 HUD CoC Competition Evaluation Instrument For all HUD CoC-funded projects in the Chicago Continuum of Care [PROJECT COMPONENT] General Instructions Each year, on behalf of the CoC Board, the Chicago
REQUEST FOR PROPOSALS (RFP) APPLICATION GUIDEBOOK FOR: HOMELESSNESS PREVENTION AND RAPID RE-HOUSING PROGRAM (HPRP) HARRIS COUNTY COMMUNITY SERVICES DEPARTMENT OFFICE OF HOUSING AND COMMUNITY DEVELOPMENT
HMIS Grant and Project Administration Presenters Patrick Taylor, Cloudburst Consulting Group Tony Gardner, Tony Gardner Consulting 2 Learning Objectives Provide CoCs with an overview of various HMIS grant
0111 Measuring Growth by Referrals SP4/ART2 SP5/ART3 Reports in the Growth Measurement series examine growth in different areas clients, services, providers, entries, exits, and referrals of interest to
2014 SAN DIEGO REGIONAL HOMELESS PROFILE Summary Results from the San Diego Regional 2014 Point-In-Time Count September 24, 2014 Table of Contents I. Executive Summary... 4 II. Introduction... 4 The San
March 2005 Projecting from Point-in-Time to Annual Estimates of the Number of Homeless People in a Community and Using this Information to Plan for Permanent Supportive Housing By Martha R. Burt and Carol
DEPARTMENT OF HOUSING AND URBAN DEVELOPMENT 24 CFR Part 578 [Docket No. FR-5476-I-01] RIN 2506-AC29 Homeless Emergency Assistance and Rapid Transition to Housing: Continuum of Care Program AGENCY: Office
U.S. Department of Housing and Urban Development Community Planning and Development Notice of Funding Availability for the 2015 Continuum of Care Program Competition FR-5900-N-25 OVERVIEW INFORMATION A.
Eugene/Springfield/Lane County Continuum of Care Policy and Procedures Manual Written Standards Approved December 16, 2013 1 Table of Contents 1. Introduction 2. Continuum of Care Board Duties/ Governance
DEPARTMENT OF HOMELESS SERVICES Gilbert Taylor, Commissioner WHAT WE DO The Department of Homeless Services (DHS) manages 242 shelter facilities, consisting of 69 adult facilities, 21 adult family facilities
Data Quality Monitoring Plan and Report Instructions and User Guide Beginning 7/1/12, parts of the Data Quality Monitoring Plan were implemented including timeliness and Completeness. Starting 10/1/2012,
President Obama s 2016 Budget demonstrates his deep commitment to ending homelessness. The Budget makes investments needed to end chronic homelessness in 2017, make significant progress toward ending homelessness
Houston/Harris County Continuum of Care Rapid Re-housing Business Rules 1 Table of Contents I. Introduction... 3 II. Definitions... 3 III. Rapid Re-housing Policies and Procedures... 7 1. Roles and Responsibilities...
Denver Shelter Assessment BACKGROUND The National Alliance to End Homelessness (the Alliance) was contracted by the City of Denver to assess the quality and capacity of Denver's homelessness shelter system,
HUDHRE.info TIPS AND TRICKS FOR USING THE HRE VIRTUAL HELP DESKS The following is a collection of tips and tricks for using the HUD HRE Virtual Help Desks. Using these suggestions will facilitate the Help
FY 2015 PERFORMANCE PLAN MISSION The mission of the District of Columbia (DHS), in collaboration with the community, is to assist low-income individuals and families to maximize their potential for economic
Emergency Solutions Grants Program: Using IDIS for Financial Management, Part 1 Chris Pitcher: Good afternoon and welcome to the webinar entitled, "Emergency Solutions Grants Program: Using IDIS for Financial
2015 AHAR Webinar Part 2-Steps to a Successful Data Submission Transcript 1. Hello and welcome to the second of a two part webinar series on reporting data for the 2015 Annual Homeless Assessment Report.
The City of Philadelphia s Homeless Management Information System Quality Plan A. GENERAL INFORMATION Homeless Management Information System (HMIS) Background For more than a decade, Congress has expressed
H O U S I N G A N D H O U S I N G F I N A N C E RESEARCH REPORT Rapid Re-housing What the Research Says Mary Cunningham Sarah Gillespie Jacqueline Anderson June 2015 ABOUT THE URBAN INSTITUTE The nonprofit
Barbara Poppe and associates The collective for impact Orange County Investment in Programs to Prevent and End Homelessness February 22, 2016 Project Overview The Orange County Committee on Homelessness
Homeless in Houston: We re Making a Difference Catherine L. Troisi, Ph.D. Associate Professor, MPACH University of Texas School of Public Health Gary M. Grier Project Manager Coalition For The Homeless
Why Illinois Should Invest in Homeless Services: Positive Outcomes and Cost Effective Programming Spring 2011 Illinois supports a vital continuum of services for people at risk of or experiencing homelessness.
Developing a Housing First Approach System wide: Alameda County, CA 1 2009 was a turning point for Alameda County The work inspired by our 10 year Plan to end homelessness rather than manage it began to
DENVER S ROAD HOME OUTCOMES AND EVALUATION GOAL 1: PERMANENT AND TRANSITIONAL HOUSING The housing reporting system must track the number of permanent and transitional units produced and occupied by transitional,
The Role of Public Housing Agencies in Preventing and Ending Homelessness August 11, 2011 Panelists Kristy Greenwalt, USICH (Moderator) Preston Prince, Fresno Housing Authority Kristin Winkel, King County
Comprehensive Plan to Prevent and End Youth and Young Adult (YYA) Homelessness in King County by 2020-2015 Comprehensive Plan Refresh May 2015 Committee to End Homelessness in King County Table of Contents
Bridging the Gap In Virginia Brandi Jancaitis, MPH Executive Director, Virginia Wounded Warrior Program Virginia Department of Veterans Services Under the leadership of Commissioner Paul Galanti, and Deputy
e-snaps Instructional Guide Renewal Project Application * 2015, Version 3 Table of Contents Introduction... 1 Objectives... 1 Overview of the Project Application Process... 1 Overview of this Instructional
Homelessness Management Information System [HMIS] Data Quality Plan NY-501 Regional Continuum of Care City of Elmira, Steuben, Allegany, Livingston, Chemung & Schuyler Counties December 12, 2012 Developed