1. Pinellas Data Collaborative
Analysis of Access of Services for Those Dealing with Substance Abuse Diane Haynes, M.A. Ren Chen, M.S. Policy, Services and Research Data Center Mental Health Law & Policy Florida Mental Health Institute University of South Florida 1/21/03
11/12/2018

2. Introduction
A study looking at individuals with substance abuse problems and patterns of interactions with services and governmental agencies in Pinellas County
11/12/2018

3. Topics of Discussion Recap criteria of identification
Today’s Presentation
Cluster Analysis
Four Groups Identified
Findings
11/12/2018

4. Criteria of Identification
Medicaid, DSS, & EMS :
Alcohol and/or Substance Abuse diagnosis
CJIS: Had at least two arrest on statutes dealing with DUI, DWI, Under Influence…, Disorderly Intoxication, or Inhalation of harmful chemical substance.
11/12/2018

5. Criteria of Identification cont…..
IDS :
Alcohol and/or Substance Abuse diagnosis
Cost Center of Methadone or Substance Abuse Detox
Program of Adult or Children Substance Abuse
Service Code of Assess DUI/DWI or Day Care/Additions
11/12/2018

6. What method to use? How to identify patterns across multiple systems?
Why Cluster analysis?
What key information to use?
11/12/2018

7. Why Cluster analysis?
It is a multivariate analysis technique to organize information about variables so that relatively homogenenous groups, or ‘clusters,’ can be formed.
11/12/2018

8. What key information to use?
Variables that will identify patterns of system interactions and intensity of interactions
A variable for each system and then number of times they interact with that particular system
11/12/2018

9. Four Clusters Identified
Cluster one:
1,247 individuals
Low interaction with EMS system
Largest cluster
The highest interaction w/ any system was Medicaid and IDS
Worst Outcomes:
908 individuals
Highest interaction w/any system was with CJIS
Low interaction w/service agencies
Cluster Three:
363 Individuals
They are receiving services from IDS/Medicaid/Child Welfare systems
High interaction with Baker Act system
Best Outcomes:
120 Individuals
Smallest cluster group
Low interaction with CJIS system
High interaction /IDS,Medicaid, & Child Welfare
11/12/2018

10. Four Clusters Identified
11/12/2018

11. Cluster Demographics
11/12/2018

12. Gender
11/12/2018

13. Race
11/12/2018

14. Age
11/12/2018

15. First System Interaction
11/12/2018

16. Second System
11/12/2018

17. Arrested in FY
11/12/2018

18. Clusters Adults vs Children
11/12/2018

19. Cluster Outcomes Adults vs Children
11/12/2018

20. Conclusions
Individuals mostly only hit one system, so there is significantly low interaction across multiple systems
The cluster analysis identified four distinctly different groups (NOT using individual characteristics), but interestingly there are significant characteristic differences in the individuals between the cluster groups .
11/12/2018

21. Conclusions cont…. Cluster 1, which is the largest group
Cluster 1 is mostly White adult males who hit CJIS system first and then only a small portion hit MED, IDS as their second system.
11/12/2018

22. Conclusions cont….
Cluster 2 had the highest proportion of individuals hitting the CJIS system
Cluster 2 had the worst outcomes
Individuals were more likely to be white adult males
11/12/2018

23. Conclusions cont….
Cluster 3 Individual’s first and second system hits were spread out across all systems
They were slightly older than the individuals in the other clusters, had almost equal proportion of females to males.
11/12/2018

24. Conclusions cont….
Cluster 4 was the smallest group and did not hit the CJIS system
They were significantly younger than those in the other clusters, and tended to hit MED, IDS, or CW for their first system
Their second system if they had one was either MED, IDS,or DSS
They had better outcomes than the other clusters
11/12/2018

25. Further Questions
Is cluster four just a younger population and in the future will they fall into the other clusters?
What is the cost per individual across each cluster?
Do geographic patterns using Zip Code in GIS
Why do most individuals only hit one system over a three year period, no matter which cluster they are in? How many, and which systems should an individual dealing with Substance Abuse hit?
11/12/2018

26. What’s Next - Options
Continue with these four groups and ask additional questions
Use different methods to identify groups
Chose a cluster and focus further analysis, case review, etc. on individuals
11/12/2018