Is there a relationship between the hours of support that people receive at an organization, and the presence of outcomes in their life? If they receive supports from staff around the clock, are they less likely to use their environments, in comparison to those who receive supports for three hours per day? If someone only receives supports on-call, as needed, are they more likely to establish and nurture natural support networks in their life?
While an organization could easily identify how many hours of support a person receives, they may be limited in understanding what role that the level of support could play in quality of life. This limited scope of insight into outcomes can cause support providers to be driven by assumptions, instead of data. It is important to think about what can be gathered from these analytics. At an individual level, an agency could track over the course of time, how changes in the levels of support can impact the presence of outcomes for a particular person. At an aggregate level, organizations can look at lapses involving certain indicators, based on the number of hours that people are receiving support. Providers could then use this information to make adjustments to the level of support they provide, possibly by devoting more time and energy to initiatives surrounding certain outcomes, where improvement is needed.
CQL’s PORTAL Data System can dissect outcomes data across various demographics, including the average number of hours that a person receives support. The numbers of hours are categorized into six different segments:
- 24/7 – Around the clock support
- 12 hours/day or more
- 6 – 12 hours/day
- 3 – 6 hours/day
- On call – supports as needed
Agencies accessing PORTAL can select the support level segment that they wish to explore further, and then look into specific outcomes involving issues of privacy, relationships, rights, safety, health, employment, and many more. Users can then delve even deeper into that data, filtering by additional fields like gender, age, and ethnicity.
For example, using this feature with the international data in the PORTAL database we find that people who receive around the clock supports (24/7) are less likely to have supports in place for free from abuse and neglect than people who receive supports as needed (on call). Whereas 78.1% people with supports as needed have the free from abuse and neglect support in place, only 70.2% of people who receive on the clock support do. These findings evidence that agencies need to increase their support for people with higher support needs to ensure there are no disparities in abuse and neglect prevention.
On Call – Supports As Needed
24/7 – Around the Clock Support
While there are growing state and federal requirements for organizations and state systems to evaluate services based on individually-defined outcomes as a measurement of quality, there are also clear benefits for people receiving services, and the agencies providing them. If agencies are equipped to better assess the impact that supports are having on people’s lives, they’re able to ensure that their resources are being directed and utilized in the most effective way possible.
Analytics By Support Needs: Tutorial Video
Analytics By Support Needs: 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 ‘Question’ Dropdown box, choose ‘Demo – Avg Hours Support Org’
- Under the ‘Answer’ Dropdown box, choose the desired support level segment
- Select any additional filtering/sorting options (optional)
- Click on the ‘Filter’ button
- Scroll down to view outcomes data