The ability to assess and evaluate quality of life for each person you support is a very basic, yet critically essential function for an effective human services organization. Many agencies often lack a formalized, consistent process for this type of discovery, which is why hundreds of providers turn to CQL’s Personal Outcome Measures®. In a Personal Outcome Measures® interview, 21 indicators are used to understand the presence, importance and achievement of outcomes, involving choice, health, safety, social capital, relationships, rights, goals, dreams, employment and more. The process also looks at the services in the person’s life, to determine what role they play in those particular outcomes.
Beyond just the implementation of Personal Outcome Measures®, the analysis of data at the individual level is key to the person-centered planning process, identifying areas where supports and services can be improved, and exploring the evolution of outcomes over the course of time. In CQL’s PORTAL Data System, organizations can review and analyze outcomes data for each person they support, at the individual level. After conducting a Personal Outcome Measures® interview, the interviewer can collect and enter the data into PORTAL, then view templated dashboards and run data reports. Over a number of years, that individual outcomes data can be reviewed to assess whether changes to services are having the desired effect on quality of life for the person receiving supports.
Analytics By Individual Interviewee: Tutorial Video
Analytics By Individual Interviewee: Step-By-Step Directions
- Log in to your PORTAL account
- Click on the ‘Analytics’ tab at the top of your screen
- Select the ‘SURVEYS’ analytical tool
- Select the ‘VIEWS Dashboard’ option
- Select the desired survey analytics view
- Under the ‘Interviewee’ Dropdown box, choose the desired interviewee
- Select ‘Date Range’ to find a specific interview (optional)
- Click on the ‘Filter’ button
- Scroll down to view outcomes data