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Safe Harbors

Safe Harbors. Partner’s meeting January 2011 . 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 C ertification Process. Step 1

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Safe Harbors

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  1. Safe Harbors Partner’s meeting January 2011

  2. 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?

  3. 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

  4. 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

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

  6. 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.

  7. 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

  8. One Night Count Update?

  9. Annual Homeless Assessment Report Lessons learned in 2010

  10. Successes 3 table shells accepted in 2009 AHAR 18 table shells accepted in 2o10 AHAR

  11. 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

  12. 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

  13. 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 e-mails • Data Quality Report will be posted monthly (by the 20th) on the Safe Harbors’ website • E-mails are being sent regularly with specific information and steps to improve data quality

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