bill edgar (dundee university) barbara illsley (dundee university) european commission mphasis...
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Bill Edgar (Dundee University) Barbara Illsley (Dundee University)
European Commission
MPHASISMutual Progress on Homelessness through
Advancing and Strengthening Information Systems
National Seminar Norway
Oslo, June 13th 2008
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European Commission
Purpose of Mphasis
Measuring Homelessness Report– ec.europa.eu/employment_social/social_inclusion/
docs/2007
Improve Capacity – National Authorities in data collection
on homelessness
Mphasis Approach– Mutual Learning / Practice Strand– Research Strand
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European Commission
Seminar Purpose
PROGRESS - Social Inclusion Strategy– Mutual Learning– Mobilising all actors
Commission Expectations– Concrete Outputs and Outcomes
National Seminars– Agreed outcome statement on actions
required to improve data collection on homelessness
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European Commission
Purpose of Data Collection
Strategy Aims to Data needed for
Prevent homelessness people vulnerable to eviction people who leave an institution with no home
Tackle the causes of homelessness Data reflecting different pathways
Reduce the level of homelessness Scale and prevalence of homelessness
Reduce the negative effects on homeless people
Longitudinal analysis / repeat homelessness
Ensure that formerly homeless people can sustain permanent independent housing
Number who gain access to permanent or supported accommodation and remain there
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European Commission
Homeless Pathways and Data Sources
CAUSES
STRUCTURAL
INSTITUTIONAL
RELATIONSHIP
PERSONAL
FACTORS
Poverty
Unemployment
Housing
Institutional Living
Foster / State Care
Prison Experience
Armed Forces
Abusive relationship
(childhood)
Abusive relationship
(with a partner)
Family Breakdown
(death or separation)
Mental IllnessLearning Difficulty
Drug Dependency
Alcohol Dependency
TRIGGERS
Eviction
Discharge
Leaving family home
Fleeing violent relationship
Coping with living alone
Illness episode
Support breakdown
Substance Misuse
DATA SOURCES
Housing
Judiciary
Social Welfare
Surveys
Health Services
Penal System
Service Providers
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European Commission
Data Collection Overview
Homeless
Homeless persons surveys France, Spain, Italy
Service Providers / Client Registers
Netherlands, Ireland
Social Welfare / Support
Official Registers of Services Czech, Hungary, Latvia
Regulation Denmark
Funding UK
Housing Allocation UK
Needs Assessment Finland, Ireland, Scotland
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European Commission
Graph SlideTypology of Living Situations
Housing Units
Types of housing
Collective Living Quarters
Other
Living Situations
Conventional
dwelling
Non-conventional
dwelling
Institutional
Building
Non-institutional
Building
Public Spaces
external spaces
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European Commission
Operational Definition
Operational Category Living Situation
1 People Living Rough 1 Public space / external space
2 People in emergency accommodation 2 Overnight Shelters
3 People living in accommodation for the homeless
3
4
5
6
Homeless Hostels
Temporary Accommodation
Transitional Supported Accommodation
Women’s shelter or refuge accommodation
4 People living in institutions 7
8
Health care institutions
Penal institutions
5 People living in non-conventional dwellings due to lack of housing
9
10
11
Mobile homes
Non-conventional building
Temporary structure
6 People living temporarily with family and friends
12 Conventional housing, but not the person’s usual place of residence
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European Commission
Homelessness Information Strategy
Driven by Strategy Definition of homelessness and
housing exclusion Review of information sources Service Provider Database Core Variables Definition Client Register information Administrative Data / Survey Data
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European Commission
Homelessness System Indicators
Input Indicators– Threatened with eviction– Leaving institutions– Children leaving care
System Indicators– Number of People receiving services– Time spent in the system– Flow of people through the system
Output Indicators– People Re-housed (with/without
support)
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European Commission
Homelessness Accommodation System
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European Commission
Supply and User Statistics
Directory of Services– Bed-spaces– Prevalence occupancy rate
Client Registers– Occupancy Level– Turnover– Duration
Profile and Trends– Profile Demography– Pathways Profile– Administrative Geographies
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European Commission
Outcome Statement
Homelessness (Prevention) Strategy– What are the Data Needs of the strategy
Existing System– What Gaps exist / Reliability of Data?– Is definition of core variables agreed by actors?
Barriers– EG Data Protection issues?
– Ways of overcoming them?
Information Strategy– Is Responsibility / Governance clear?– Is there a mechanism for review?– What is the Action Plan for Implementation?