This presentation goes over how to define, measure and analyze outcomes data for addiction treatment facilities.

1. How and why addiction
facilities should
measure OUTCOMES
September 28, 2019
Eva Hibnick - One Step Software

2. Table of Contents
I. Our Industry’s Take on Data
II. What is outcomes data?
III. Why you should collect outcomes data
IV. How to decide which outcomes data to collect
V. How to make sure the data is actually collected
VI. How to enact change at your facility

3. I. Our Industry’s Take on Data

4. Data can help businesses:
● Measure the efficacy of a certain business practice
● Improve business processes
● Increase efficiencies
● Decrease costs
● Spend resources smarter
● Save time
● Improve client experience
● Increase revenue

6. Why are most addiction facilities not
bothering to measure data?!

7. The Joint Commission now requires
facilities to use “a standardized tool to
measure outcomes.”

8. II. What is outcomes data?

9. Outcomes Data is:
● “aggregated data points for your program which captures
performance and results for your client’s success”
● This could include an improvement in personal health, life
accomplishments (e.g., employment), and/or reductions
or abstinence from drugs/alcohol

10. III. Why you should collect
outcomes data

11. Treatment centers can use the data collected to:
● Improve patient experiences
● Measure the success of their programs
● Identify which type of patients do the best at their
programs
● Distinguish their programs
● Get in-network with providers
● Get grants from the federal and local governments

12. Caron Treatment Centers:

13. American Addiction Centers:

14. Beach House Treatment Center:

15. Government: millions invested in treatment (2016 numbers)

16. IV. How to decide which outcomes
data to collect

17. Deciding which outcomes metrics your program is
going to collect is largely based on what type of
program you are, how long your program is, who at
your organization is going to be responsible for
collecting data etc.
Here are some examples of metrics programs have
used:

18. Aggregate - Program Level Data
● Percentage changes in outcomes data:

19. Aggregate - Program Level Data
● Monthly / incremental percentages:

20. Aggregate - Program Level Data
● Client MAT percentages:

21. Aggregate - Program Level Data
● Substance of choice & Reason for discharge:

22. Individual - Patient Level Data
● Client program data points: PTSD Civilian Survey

23. Outcomes Surveys:
Brief Addiction Monitor (BAM) Clinical Institute Withdrawal
Assessment Scale –
Benzodiazepines (CIWA-B)
Patient Health Questionnaire
(PHQ-9)
Center for Epidemiologic
Studies Depression Scale
Revised (CESD-R)
Family Assessment Device
(FAD)
Personal Drug Use
Questionnaire (SOCRATES
8D)
Child and Adolescent
Disruptive Behavior Inventory –
Parent Survey (CADBI)
Functional Assessment
Device – General Functioning
(FAD-GF)
Five Facet Mindfulness
Questionnaire (FFMQ)
Clinical Institute Withdrawal
Assessment of Alcohol Scale,
Revised (CIWA-Ar)
Generalized Anxiety
Disorder-7 (GAD-7)
Suicide Behaviors
Questionnaire- Revised (SBQ-
R)

24. Individual - Alumni Level Data
● Post Program Survey:

25. V. How to make sure the data is
actually collected

26. Procedures
● It’s important to set clear policies & procedures
for your staff to ensure that the data you want is
collected.
○ When to collect data: Upon intake? Upon
discharge? Every week? Post-program?
○ Who is in charge of collecting data?
○ Who is in charge of overseeing and making
sure all data is collected on a daily basis?

27. Training
● Make sure all new staff are trained on how to
collect data
● Make sure you emphasize how important it is for
the program to gather accurate data

28. VI. How to enact change at your
facility

29. Program data
● Have quarterly reviews of the data
● Share the data with clinicians and C-Suite
● For each data point - establish an actionable plan for improvement
○ Break each data point down into multiple steps for
improvement
○ Set goals for next quarter and review monthly progress to
course correct and adjust strategy as needed

30. Individual client data
● Daily reviews of the data with clinicians
● Review surveys and look at trends (decrease/increase)
● Adjust treatment plan accordingly

31. eva@onestepsoftware.com
Questions?