AAA Administration


This resource area focuses on topics that assist program managers and data administrators who are responsible for data validation, CARS reporting, and setting up services.

Data integrity and data validation

  • No Service Recently-Mass Care Plan Closing : Keeping clean client data is very important. This how-to guide helps you find clients who have not had service units within a certain time, such as 12 months, then closing out the care plans in mass. Learn More
  • Disposition for Care Plans : If there’s a mismatch with the disposition of a care plan and an end date or missing end date, then your CARS submission can fail. This quick guide provides a reminder to select a disposition and an ad-hoc to find any errors within this area. Learn More


  • CARS Quarterly Data Submissions : This guide assists you with spot checking your data on a quarterly basis before exporting the CARS files and uploading them into GetCare. It also provides the information that is exported in each of the CARS generation files. Learn More
  • CARS Reporting Requirements : Use this simplified list to quickly see what data fields are required by Title and Service category for registered services. Learn more
  • CDA Service Categories and Data Dictionary : This document from the CDA contains all the AAA service categories (registered/non-registered), definitions, service unit of measure, reporting requirements, NAPIS reference, funding source and whether or not the service is a priority service. Learn more
  • CARS and NAPIS Instructions : This guide provides detailed instructions on how to use NAPISCare module to validate and submit the annual National Aging Program Information System State Program Report data. Learn More

Time saving tips & tricks

  • Ad-hoc Query How-To : Ad-hoc queries are used to find specific information within a query – think of it as using a filter within a large range of data so you only get the information you need. Learn More
  • Ad-Hocs CARS : Keep this list of handy ad-hoc queries to copy and paste to help you find specific data within a query, such as missing demographic data or ADLs/IADLs. Learn More
  • Common Queries : This Guide has the five most commonly used reports within Q and a helpful table that highlights the differences of each report. Learn More
  • Opticon Scanner : Barcode scanning is useful for agencies that have a lot of participants in congregate meal sites. This guide is specific for those using and Opticon Scanner. Get detailed information on setting up your Opticon Scanner and how to import the data into Q for service unit data entry in mass. Learn More