How to Fight Homelessness with Data Lis Stuart Katie Dineen Joint - - PowerPoint PPT Presentation

how to fight homelessness with data
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How to Fight Homelessness with Data Lis Stuart Katie Dineen Joint - - PowerPoint PPT Presentation

How to Fight Homelessness with Data Lis Stuart Katie Dineen Joint Office of Human Services Division Homeless Services Lane County Multnomah County Oregon Housing and Community Services Data Driven Decisions Prioritization Resource


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Oregon Housing and Community Services

How to Fight Homelessness with Data

Katie Dineen Joint Office of Homeless Services Multnomah County Lisë Stuart Human Services Division Lane County

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Oregon Housing and Community Services

  • Prioritization
  • Resource Allocation
  • Equity & Accessibility
  • System Performance

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Data Driven Decisions

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3 People who are enjoying this COFEE session

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Oregon Housing and Community Services

Make the most of your data

Data literacy is key to an organization’s success

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Readiness

How available is your data to the system of service providers in HMIS What data will generate the information you need? How much data do you actually need?

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Prioritize Clients & Services

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Prioritize Clients & Services – CE

VI-SPDAT Score Distribution

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Prioritize Clients & Services – FUSE

FUSE uses HMIS data along with criminal justice and health care data

FUSE By Name List is prioritized by frequency of inappropriate use of community resources and services

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Resource Allocation

Use your data to help determine resource re- allocation or new projects to fund

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Resource Allocation: CE

  • Coordinated Entry gives us a lot of data for community needs
  • Resources for getting people both ON the Coordinated Entry list

and OFF the Coordinated Entry list

  • Document readiness, housing search, etc.
  • Conversations on VI-SPDAT assessment tool limitations & how to

address

  • Culturally specific organizations involvement in process & mobile

team members

  • Using demographic data – particularly race/ethnicity – for

Coordinated Entry outcome and goal setting

  • What are we hoping to achieve through Coordinated Entry?
  • How will we measure outcomes, goals, and equity?
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Resource Allocation: FUSE

New funding for FUSE based

  • n outcomes
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Equity

Use your data to evaluate project equity and accessibility

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Equity: CE Race and Ethnicity

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Equity: CE Age

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Equity: CE Gender

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Equity: FUSE

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System Performance

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System Performance

Every community will have systematic response in place that ensures homelessness is prevented whenever possible or is otherwise:

  • Rare
  • Brief
  • Non-recurring
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System Performance: Tracking Referrals to Housing

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System Performance: Easy Dashboard Ideas

Unit Utilization reports

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System Performance: Easy Dashboard Ideas

Data Quality and Completeness Report Card

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System Performance: Easy Dashboard Ideas

Grant Spend Down

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System Performance: Easy Dashboard Ideas

Key Performance Indicator Outcomes

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System Performance: Dashboards

Use your data to evaluate system efficiency and effectiveness

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System Modeling

Calculate:

– Inventory – Utilization – Unmet Needs

Determine investment w/ new or reallocated funds for shelter and housing

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FUSE

http://www.csh.org/fuseRC

Using Data and System Modeling to Leverage Resources and Improve Your System

http://www.nhsdc.org/wp-content/uploads/2018/04/Session-8C-Using-Data-and-System-Modeling.pdf

Coordinated Entry Requirements and Checklist of Essential Elements

https://www.hudexchange.info/news/hud-publishes-coordinated-entry-requirements-and-checklist-of- essential-elements/

Data finds a meaningful role in fight against homelessness in the United States

https://www.tableau.com/about/blog/2017/6/data-finds-meaningful-role-fight-against-homelessness-united- states-71494

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Read

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Questions?

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