HMIS News

HMIS News

Collecting Ideas for Updates to QDQ Scoring Rubric

The Quarterly Data Quality (QDQ) process that started in January of 2020 is once again being evaluated. In the summer of 2020, a small group of monitoring partners, end users, and ICA staff discussed the Timeliness score category and made changes to the scoring rubric. The changes were reflected in the 2020 Quarter 3 scores and they continue to be used. 

Your ideas and input on the scoring rubric are important. They help make QDQ a better process. The individual data elements are not all evaluated the same way. Some of them are more straightforward to audit and measure than others, and that reality is reflected in the scoring. The scoring is also informed by HUD’s vision for the future of HMIS as outlined in HUD’s SNAPS Office Data TA Strategy to Improve Data and Performance. Scores are calculated on a percentage basis, so that, for example, though the point total for permanent housing programs is higher, those programs will not automatically score higher than other programs.

So, if you feel there is a particular scoring of a data element that needs more scrutiny, or a score category in general that could use a change, please let us know. We cannot guarantee that every request will become a change to the rubric, but we want to make sure the rubric is reflecting a measurement of quality data. ICA’s QDQ team and the QDQ monitoring partners will review the suggestions and update the scoring by October 2021.  

How To Provide Feedback 

The QDQ Scoring Rubric can be found on the QDQ page of the Minnesota ICA website. 

hmismn.org  >  Training  >  Quarterly Data Quality  >  QDQ Scoring Rubric button 

Click here for immediate access

To supply your ideas about the rubric you can use the link below for the feedback form. Please do this by 15 August 2021. 

FFEDBACK FORM 

You can use this form to submit any kind of feedback about QDQ. To submit ideas for updates to the Scoring Rubric, please respond to the first prompt with “Rubric Review”.

EXAMPLE: 
What would you like us to know about your experience? Rubric Review 

Of course, if you want to supply more feedback on QDQ, please do so by filling out the form again and responding to the prompts. 

The Quarterly Data Quality process is a collaborative process. Making it work better is in all our interests, and your ideas matter.