Viewing and Interpreting the SPI in OpenFIT

Created by Brendan Madden, Modified on Thu, 7 Nov at 8:57 AM by Brendan Madden

If you are interested in viewing the Success Probability Indicator (SPI) for your cases in OpenFIT please first 

email support@openfit.care with the subject line "SPI Setup".

We will then activate the SPI on your agency account and you will be able to view the SPI scores for each client in your cases.


To view the most recent SPI score for a client in a case you need to click on the relevant Case Number in the 'Cases and Clients' screen. This will then take you to the 'Sessions and Surveys' screen for that case (see below).


If you then click on the Client Feedback tab on the right you will be able to see the Client view for the relevant client in that case. The Client view displays the Expected Treatment Response graph for the client. The SPI score is then displayed as a percentage at the top right of the Expected Treatment Response graph.

The SPI score is colour-coded to indicate whether it requires attention from the case clinician. There are three colour codes, Red, Yellow and Green.


If there is more than one client in a case you can access each client in turn by clicking on the tab of that client's name which is directly above the Client View tab. Note that tabs that are active are highlighted in blue.



Interpreting the SPI score.

The SPI score is a relative score and is based on a comparison with the probability of success for a client in treatment compared to the average probability of success for all cases in the ICCE ORS dataset. It indicates how much great the probability of success is for any given client compared to the average in the ICCE dataset. 

In the example above the client's probability of success at the last session (9) is 43.03% higher than the average probability of success in the dataset. So this client's probability of success is considerably greater than the average client at session 9.


To view how the client's SPI score has changed from session to session in treatment please click on the SPI score itself. This will then display the SPI scores for the most recent session and all previous 8 sessions with the relevant color-code for each session. 


If your client's SPI score is in green then it is indicating your client is making ample change in treatment compared to the average client who ended treatment successfully and their probability of a successful outcome is very close to or above the average probability of success. This suggests that your work is on track with the client and that there is a good FIT between what you are doing with the client and what is helping them progress in treatment.


If your client's SPI score is in red this indicates that they are making progress significantly below the average client who ended treatment successfully and their probability of a successful outcome is well below the average. This may suggest that you should talk with the client about their perception of progress and look at their Expected Treatment Response graphs for the ORS and the SRS to identity what might be accounting for their less than optimal progress towards their desired outcome. You could also review particular items on each of the feedback measures and look for increases or decreases on either measure. This may help you to identify a better FIT between what you are doing with the client and what might help them to make a bit more progress in treatment.


If the SPI score is in yellow then this is indicating your client's progress in treatment is somewhat close to i.e. just below the average client who ended treatment successfully, and their probability of a successful outcome is just below the average.


To learn how to interpret the SPI color codes and understand the SPI in general we recommend you visit the ICCE FIT Tips here and here. You should also review the article on the SPI on Scott Miller's Top Performance blog here.

There is also a new ICCE recorded webinar from Scott Miller on the SPI available on the ICCE YouTube channel here






Was this article helpful?

That’s Great!

Thank you for your feedback

Sorry! We couldn't be helpful

Thank you for your feedback

Let us know how can we improve this article!

Select at least one of the reasons
CAPTCHA verification is required.

Feedback sent

We appreciate your effort and will try to fix the article