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The Point in Time Enumeration Process in Washington, D.C. Darlene Mathews

The Point in Time Enumeration Process in Washington, D.C. Darlene Mathews The Community Partnership for the Prevention of Homelessness www.community-partnership.org National Alliance to End Homelessness Conference July 17, 2006. Point in Time in Washington, D.C.

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The Point in Time Enumeration Process in Washington, D.C. Darlene Mathews

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  1. The Point in Time Enumeration Process in Washington, D.C. Darlene Mathews The Community Partnership for the Prevention of Homelessness www.community-partnership.org National Alliance to End Homelessness Conference July 17, 2006

  2. Point in Time in Washington, D.C. • The District of Columbia has conducted Point in Time enumeration for six years. • Our numbers are aggregated with regional numbers to produce the Metropolitan Washington Point in Time Report on behalf of the Council of Governments

  3. Creating a Roadmap to Successful Data Collection Determine what you seek to track. In D.C. we looked at demographic information on the homeless population broken down by: Street Outreach Emergency Shelters Transitional Shelters Permanently Housed And categorized by Individuals or Persons in Families

  4. Housing Needs Employment Status Gender Chronic Homeless Status Physical Disability Mental Disability Veteran Status HIV/AIDS Status Domestic Violence Youth Chronic Health Problem Language Minority Housing needed today (for gaps analysis) Additional Categories & Subpopulations Tracked

  5. Develop Goals for Analysis • Accurate distribution of homeless population across the region • Changes and trends in the population over the time • Meaningful Gaps Analysis • Provide the government and public with good information about the homeless population in the D.C. area. • Counteract the public image that the homeless are primarily street people.

  6. The Ultimate Goal Over time, as we track trends in distribution of beds, housing needs and other variables, we are trying to illustrate the “problem” by identifying the amount of people on the streets in emergency and transitional shelters, but also the “solution” as we add to the numbers of people inside the Continuum residing in permanent supportive housing.

  7. In 2006, all programs within the Continuum of Care reporting to the Partnership were contractually required to use HMIS to complete the PIT survey. All private organizations operating programs in the D.C. Continuum, but not contracted with the Partnership were asked to complete paper forms and spreadsheets with the necessary information. Point in Time Configuration

  8. The Community Partnership’s Point in Time Process for D.C. Step 1 Our System Administrator created a custom Point in Time survey assessment that is user friendly and accurately captures all the information we sought to collect.

  9. Step 2- Training and Communication • The actual count was derived from bed lists so refresher trainings were held on how to enumerate bedlists & use the Survey Assessment • The process was also reinforced through emails, quick reference guides and ongoing technical assistance • Contractual obligation to participate in the process

  10. Step 3 Data Quality Control On January 26, D.C. the Partnership ran bed list reports for all Providers including hypothermia sites. Each Provider was sent an email with the bedlist occupancy number. Providers were then given two weeks to clean their bed lists and complete a survey assessment on each client in their program.

  11. Data Quality ControlCont’d After bed lists were cleaned up, the Partnership ran the Point in Time assessment for each residential program to make certain that the count of assessments per site was equal to the verified count from the bed list for that day. If the number of assessments were greater or less than the bed list count, Providers were required to go back to their data and correct the data so that the # of assessments = # reflected in the bedlist count for that day.

  12. Null Value Report

  13. Step 4 Filtering for Families In order to get accurate information on subpopulations, we had to filter for children. An additional query was run to filter for clients 18 and over to separate children from adults. To ensure our numbers were accurate, the total count for children and adults had to equal the sum reported in the bed list. If the numbers didn’t match up, we had to search for the answer.

  14. Step 5-Findings After we were confident in our numbers, we exported data from HMIS into Excel for more in depth data analysis and compiled it with data submitted by private agencies.

  15. Outreach Agencies • In 2005 the Partnership created an Outreach Assessment for our providers • It tracks service transactions for clients • For Point in Time, we asked Outreach Providers to complete a Point in Time Assessment on every client they have served within the last 90 days that they believed to be sleeping on the street on January 25

  16. Outreach Agencies • We exported all of the outreach agencies’ information and de duplicated clients using MS Excel • We then compared our outreach results to our emergency shelter results and were able to de duplicate which clients that were believed to be on the streets actually entered Emergency Shelter

  17. Bed enumeration and basic data entry must be completed properly and monitored often otherwise Point in Time can be extremely difficult. Providers were not completing the entire assessment and leaving a lot questions blank. We had to create a null value report to send to the Provider to show them all the questions that needed to be answered. Difficulties Utilizing HMIS for Point in Time

  18. Benefits of Using HMIS for Point in Time • Ultimately it should make the process easier • Great process to reconcile what we know on on a micro level within our programs and what is in HMIS • Forces Providers to make sure their data is timely and correct • Process highlights structural problems with the way HMIS and queries are set up • Identifies Provider specific problems

  19. Tips for Conducting a Successful Point in Time • Have a solid data collection system in place • Create a framework and timeline for completing tasks • Have data quality control measures in place to ensure your data is accurate

  20. Our Results The Problems We Face • There are 6,157 homeless individuals & persons in families in the District. • Today in the District of Columbia, 11 of every 1,000 persons are homeless.

  21. The Progress We are Making • The District’s Permanent Housing inventory is steadily increasing as indicated in the trend line in the chart below. Permanent Housing is seen as the SOLUTION to homelessness. • The District’s 10 year plan goals calls for a continued increase in the development of Permanent Housing units.

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