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SHADoW in Michigan Barbara Ritter and Jim Davis. ●Using de-identified client-level information, the Statewide Homeless Assistance Data Online Warehouse.

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Presentation on theme: "SHADoW in Michigan Barbara Ritter and Jim Davis. ●Using de-identified client-level information, the Statewide Homeless Assistance Data Online Warehouse."— Presentation transcript:

1 SHADoW in Michigan Barbara Ritter and Jim Davis

2 ●Using de-identified client-level information, the Statewide Homeless Assistance Data Online Warehouse (SHADoW) will collaboratively create and maintain an inter-organizational dataset enabling analysis of information regarding the relationship between public policy and homelessness in Michigan. SHADoW

3 ●To create a de-identified research database by merging a subset of information from Michigan’s Statewide HMIS and other state human services departments. SHADoW may be used to: –Inform on public policy issues related to homelessness. –Provide support for multiple perspectives of non-duplicated homeless trends MSHDA, DCH, DHS,DOC, DLEG, other ●Timetable: –Operational by December 31, 2007 Goals of SHADoW

4 ●Nearly 400 agencies that serve homeless and fragilely housed individuals across the state of Michigan participate on the Michigan Statewide HMIS. Many provide the safety-net for individuals and families when other forms of support (either public or private) fail to meet critical needs. ●Community-wide social service record that allow front- end agencies to create a “No Wrong Door” and coordinate care. ●Allows for unduplicated counts to generated across programs at the agency level, across agencies at the community level and across the State. About MSHMIS

5 Michigan Cast: Michigan State Housing Development Authority (MSHDA) Michigan Department of Information Technology (MDIT) Michigan Department of Human Services (MDHS) Michigan Department of Community Health (MDCH) Michigan Department of Corrections (MDOC) Michigan Coalition Against Homelessness (MCAH) DYNS Services Inc., Project Management Bull Services and Bowman Internet Systems National Recognition: One of two data warehouse projects funded nationally by HUD Lockheed Martin provides evaluation and oversite. SHADoW Cast

6 Confidntiality

7 ●What is the cost of homelessness on State systems? ●How do changes in state programs and allocations impact the numbers of persons served, the characteristics of those served, or the type of services provided by safety-net organizations in the private sector? ●Are there patterns of service usage (both state and private) that relate to patterns of homelessness? ●Are homeless persons generally benefiting from state services designed to help those in need? Key Questions

8 ●What combination of DHS / HMIS services are most likely to result in people not entering homelessness again? ●How many children that age out of foster care end up in the homeless system? ●How many homeless people that received “service X”, end up homeless again in the next 12, 24, 36 months? ●How many parolees, prisoner re-entries, probation clients end up homeless? Does this vary by race, age, gender, or year? ●Of all DHS clients who have received a payment for rent, how many of them subsequently have entered a homeless shelter? More Research Questions

9 ●Determine possible Data Sources for participation ●Initial Proof-of-Concept Scope included DHS, HMIS, and DCH ●Used the “personal identification data” on each of these files to match and link people across these 3 systems ●Include relevant “life events” data (e.g. – entered a soup kitchen, applied for DHS Food Assistance, etc…) in order to construct individual chronologies and thereby, research and understand success / failure patterns ●Make statistical information available in a “WEB Intelligence” data universe for query and research. Warehouse Methodology

10 ●Using “personal data” to match is different from being able to access “personal data”. ●All data is de-identified with the following characteristics: oAll personal information is omitted from the resulting warehouse oUsers do not have the ability to “re-identify” anyone oRandom “person identifiers” are assigned to each record ●Queries will bring back only “counts” of people based on selection criteria provided the count is 5 or greater. Warehouse Methodology De-Identified Personal Data

11 ●How many people entered a homeless shelter in Ingham county and never applied for DHS assistance in the last 12 months ? ●How many DHS Food Assistance clients under the age of 10 in Kent or Ottawa county claim to be homeless but never show up as having received services from a Homeless provider ? ●How many “homeless” families have the following criteria: oEntered a shelter more than 5 times in the last 12 months oHave subsequently received DHS Medical and Cash Assistance oHave been referred to “Work First” ●Do the families with the above criteria do not show up again in the “Homeless System” over the next 24 months? ●How many do show up again in the next 24 months? ●Based on the answer to the above 2 questions, are services effective ? Warehouse Methodology “Allowable” Query Examples

12 ●Give me the list of all homeless people in Ingham county that are in both the DHS and Homeless data systems. ●Has John Doe ever been homeless ? ●I know there are only 3 homeless people in Eaton County. Give me just their ages. Warehouse Methodology “Non- Allowable” Query Examples

13 Questions ???

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