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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. Pinellas Data Collaborative. Introduction.

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Pinellas Data Collaborative

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  1. Analysis of Access of Services for Those Dealing with Substance AbuseDiane Haynes, M.A.Ren Chen, M.S.Policy, Services and Research Data CenterMental Health Law & PolicyFlorida Mental Health InstituteUniversity of South Florida1/21/03 Pinellas Data Collaborative

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

  3. Topics of Discussion • Recap criteria of identification • Today’s Presentation • Cluster Analysis • Four Groups Identified • Findings

  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.

  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

  6. What method to use? • How to identify patterns across multiple systems? • Why Cluster analysis? • What key information to use?

  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.

  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

  9. 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 Four Clusters Identified

  10. Four Clusters Identified

  11. Cluster Demographics

  12. Gender

  13. Race

  14. Age

  15. First System Interaction

  16. Second System

  17. Arrested in FY 2000-2001

  18. Clusters Adults vs Children

  19. Cluster OutcomesAdults vs Children

  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 .

  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.

  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

  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.

  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

  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?

  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

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