The following reports provide a quarterly review of HUD data quality elements for each of the five types of homeless service programs. The Data Element "Continuously Homeless for 1 year or more" has been deleted from these printouts since it is no longer reviewed by HUD. The CaseWorthy Data Quality Reporting mechanism currently has a few minor discrepancies with the latest HUD data quality protocols.
HMIS users should strive to minimize any missing data or incomplete data. Priorities include:
1) "Missing" or "Data Not Collected" should be less than 1 percent. For Data Elements including name, SSN, DOB, Ethnicity, Race, and Gender, missing data should be BELOW ONE PERCENT.
2) Data coded as "Client Refused" or "Client Does Not Know" is acceptable since the client is not required to provide information for services as part of a Housing First paradigm. However, providers should strive to keep these types of responses as low as possible.
3) In general, any area that is above 2 percent missing should be addressed by the Continuum. Data elements over 5 percent missing should be considered priorities for action.