PARTNER’S MEETINGJANUARY 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 4Issue 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 levelsTier 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 AHAR18 table shells accepted in 2o10 AHAR

Accepted Not 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 correctlyData 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