PARTNER’S MEETING JANUARY 2011 Safe Harbors

Agenda Welcome, introductions, agenda review Review of Safe Harbors restructure and next steps Safe Harbors User Certification One Night Count update AHAR results and lessons learned Questions?

User Certification Process Step 1 Launch self paced on-line testing tool via Zoomerang- February 28, 2011 Step 2 Establish proficiency level for each Safe Harbors user – March 15, 2011 Step 3 Communicate test results – March 15, 2011

Step 4 Issue certification to all users and identify proficiency level and next steps - March 11, 2011 Step 5 Agency identifies competency levels needed to managed Safe Harbors requirements - March 31, 2011 Step 6 Schedule additional trainings to increase competency levels- ongoing

Establishing Proficiency Level Three skill types identified-  HMIS data entry specialist  Reports Writer  Agency Administrator

HMIS data entry specialist levels  Tier 1 skills set will include the ability to:  Navigate central intake and clients services pages  Complete and/or modify demographic data  Enroll clients/households in programs and exit  Enter services provided  Tier 2  Create and update snapshots  Assess data quality for completeness  Modify household composition information.

HMIS Reports Writer levels  Tier 1  Run data quality reports  Run funder reports (i.e. APR, THOR, etc…)  Tier 2  Run and Create Ad-Hoc reports Agency Administrator  TBD

One Night Count UPDATE?

LESSONS LEARNED IN 2010 Annual Homeless Assessment Report

Successes 3 table shells accepted in 2009 AHAR 18 table shells accepted in 2o10 AHAR AcceptedNot Accepted Seattle/Vets TH-FAM Seattle/Vets PSH-FAM Seattle/Vets PSH-IND Seattle/Vets Summary King County/Vets ES-FAM King County/Vets TH-FAM King County/Vets PSH-IND King County/Vets PSH-FAM King Count/Vets Summary Seattle/Vets ES-IND Seattle/Vets ES-FAM Seattle/Vets TH-IND King County/Vets ES-IND King County/Vets TH-IND

Successes Utilization data improved considerably Veterans’ data is much more reflective of population Less missing data for universal data elements (gender, ethnicity, race…) Extrapolation method to use unidentified data

Challenges Emergency shelter – need to be more consistent across programs Zip codes – high missing rate for zip code of last known permanent address Household data – ensure all members of households are entered into programs

Next Steps Identify ways to refine data collection among shelter programs  Regulate data collection policies and procedures by program type Improve household type data collection  Agency support staff are working one-on-one with program staff to ensure households are being entered correctly Data Quality Improvement workgroup  Data quality workgroup will be meeting regularly to create strategies to improve data across the continuum Data Quality Reports and s  Data Quality Report will be posted monthly (by the 20 th ) on the Safe Harbors’ website  s are being sent regularly with specific information and steps to improve data quality